learning based - Robuta Search

https://www.llnl.gov/article/46491/deep-learning-based-surrogate-models-outperform-simulators-could-hasten-scientific-discoveries Deep learning-based surrogate models outperform simulators and could hasten scientific discoveries... Surrogate models supported by neural networks can perform as well, and in some ways better, than computationally expensive simulators and could lead to new... deep learning surrogate models https://deepai.org/publication/active-learning-based-on-data-uncertainty-and-model-sensitivity Active Learning based on Data Uncertainty and Model Sensitivity | DeepAI Aug 6, 2018 - 08/06/18 - Robots can rapidly acquire new skills from demonstrations. However, during generalisation of skills or transitioning across fundam... active learning based on data uncertainty model https://openreview.net/forum?id=BwPaPxwgyQb Provable Learning-based Algorithm For Sparse Recovery | OpenReview Recovering sparse parameters from observational data is a fundamental problem in machine learning with wide applications. Many classic algorithms can solve... learning based sparse recovery provable algorithm openreview https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2022.873189/full Frontiers | Machine Learning-Based Texture Analysis in the Characterization of Cortisol Secreting... New radioimaging techniques, exploiting the quantitative variables of imaging, permit to identify an hypothetical pathological tissue. We have applied this p... machine learning texture analysis https://deepai.org/publication/deep-learning-based-code-generation-methods-a-literature-review Deep Learning Based Code Generation Methods: A Literature Review | DeepAI Mar 2, 2023 - 03/02/23 - Code Generation aims at generating relevant code fragments according to given natural language descriptions. In the process of sof... deep learning code generation literature review based methods https://arxiv.org/abs/2301.04234 [2301.04234] Studying Logging Practice in Machine Learning-based Applications Abstract page for arXiv paper 2301.04234: Studying Logging Practice in Machine Learning-based Applications machine learning 2301 studying logging practice https://www.donorschoose.org/project/e-learning-based-education/8164890/ E-learning Based Education | DonorsChoose project by Ms. Van Help me give my students a laptop to utilize in class to completely integrate interactive lessons for them. Our 21st century learners can be motivated and... e learning by ms based education donorschoose https://arxiv.org/abs/1905.04788 [1905.04788] Learning-based Resource Optimization in Ultra Reliable Low Latency HetNets Abstract page for arXiv paper 1905.04788: Learning-based Resource Optimization in Ultra Reliable Low Latency HetNets learning based resource optimization https://deepai.org/publication/a-meta-reinforcement-learning-based-approach-for-self-adaptive-system A Meta Reinforcement Learning-based Approach for Self-Adaptive System | DeepAI May 11, 2021 - 05/11/21 - A self-learning adaptive system (SLAS) uses machine learning to enable and enhance its adaptability. Such systems are expected to ... reinforcement learning adaptive system meta based https://www.liverpool.ac.uk/courses/exploiting-deep-learning-based-protein-structure Exploiting Deep Learning-based protein structure prediction for function annotation and structural... Protein structural information is crucial for an understanding of protein function and evolution. Currently, only there is only experimental data for a tiny... protein structure prediction deep learning https://www.sintef.no/en/publications/publication/2178872/ Deep learning-based method for fish behavioural change quantification - SINTEF deep learning for fish behavioural change based method https://arxiv.org/abs/2206.03752v1 [2206.03752v1] Machine learning-based patient selection in an emergency department Abstract page for arXiv paper 2206.03752v1: Machine learning-based patient selection in an emergency department in an emergency machine learning patient selection 2206 based https://www.mdpi.com/1424-8220/21/24/8406 Smart Pothole Detection Using Deep Learning Based on Dilated Convolution Roads make a huge contribution to the economy and act as a platform for transportation. Potholes in roads are one of the major concerns in transportation... deep learning based on smart pothole detection https://www.mdpi.com/2072-4292/13/13/2477 Deep Learning-Based Phenological Event Modeling for Classification of Crops Classification of crops using time-series vegetation index (VI) curves requires appropriate modeling of phenological events and their characteristics. The... deep learning for classification based phenological event https://www.mdpi.com/2077-0383/12/4/1297 Machine Learning Based on Computed Tomography Pulmonary Angiography in Evaluating Pulmonary Artery... Background: Right heart catheterization is the gold standard for evaluating hemodynamic parameters of pulmonary circulation, especially pulmonary artery... machine learning based on computed tomography pulmonary angiography https://www.easychair.org/publications/preprint/PVmk Machine Learning-Based Predictive Maintenance Strategies for Nanocomposite Processing Equipment machine learning predictive maintenance based strategies nanocomposite https://openreview.net/forum?id=4NWtrQciRH&referrer=%5Bthe%20profile%20of%20Jun%20Cheng%5D(%2Fprofile%3Fid%3D~Jun_Cheng2) Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching | OpenReview Dense feature matching methods aim to estimate a dense correspondence field between images. Inaccurate correspondence can occur due to the presence of... learning based feature matching evidential certainty estimation https://openreview.net/forum?id=iUGcSYdJogv Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction | OpenReview We present a Bayesian deep gradient descent method for quantifying aleatoric and epistemic uncertainties in deep learning based image reconstruction sources uncertainty https://www.preprints.org/manuscript/202507.1874 Biomimetic Transfer Learning-based Complex Gastrointestinal Polyp Classification[v1] | Preprints.org Background: This research investigates the application of Artificial Intelligence (AI), particularly biomimetic convolutional neural networks (CNNs), for the... transfer learning biomimetic based complex https://deepai.org/publication/multi-source-adversarial-transfer-learning-based-on-similar-source-domains-with-local-features Multi-source adversarial transfer learning based on similar source domains with local features |... May 30, 2023 - 05/30/23 - Transfer learning leverages knowledge from other domains and has been successful in many applications. Transfer learning methods r... multi source transfer learning based on https://deepai.org/publication/transfer-learning-based-automatic-model-creation-tool-for-resource-constraint-devices Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices | DeepAI Dec 18, 2020 - 12/18/20 - With the enhancement of Machine Learning, many tools are being designed to assist developers to easily create their Machine Learni... transfer learning model creation https://www.scielo.org.mx/scielo.php?script=sci_abstract&pid=S2007-74672017000200566&lng=es&nrm=iso&tlng=en Learning based on the problems for the teaching of the PLC at the Technological University of... learning based on the for teaching https://openreview.net/forum?id=B7v4QMR6Z9w Federated Learning Based on Dynamic Regularization | OpenReview We propose a novel federated learning method for distributively training neural network models, where the server orchestrates cooperation between a subset of... federated learning based on dynamic regularization openreview https://www.inderscience.com/info/inarticle.php?artid=144359 Article: Deep reinforcement learning-based collaborative computation offloading and caching... Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,... deep reinforcement learning computation offloading article based collaborative https://www.mdpi.com/1424-8220/23/17/7374 Deep Learning-Based Evaluation of Ultrasound Images for Benign Skin Tumors In this study, a combined convolutional neural network for the diagnosis of three benign skin tumors was designed, and its effectiveness was verified through... deep learning images for based evaluation https://github.com/imedslab/OAProgression GitHub - imedslab/OAProgression: Multimodal Machine Learning-based Knee Osteoarthritis Progression... Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data - imedslab/OAProgression multimodal machine learning knee osteoarthritis github based progression https://www.nist.gov/publications/deep-learning-based-intrusion-detection-adversaries Deep Learning-Based Intrusion Detection With Adversaries | NIST Oct 14, 2021 - Deep neural networks have demonstrated their effectiveness in most machine learning tasks, with intrusion detection included. deep learning intrusion detection based adversaries nist https://www.frontiersin.org/journals/water/articles/10.3389/frwa.2024.1379284/full Frontiers | Machine-learning based approach to examine ecological processes influencing the... Dissolved organic matter (DOM) assemblages in freshwater rivers are formed from mixtures of simple to complex compounds that are highly variable across time ... machine learning ecological processes frontiers based approach https://www.mediago.com:443/ MediaGo DSP: A Deep Learning-based Intelligent Advertising Platform MediaGo DSP is an intelligent advertising engine based on deep learning technology. MediaGo DSP has established extensive partnerships with premium publishers... deep learning dsp based intelligent advertising https://arxiv.org/abs/2112.09456v1 [2112.09456v1] Visual Learning-based Planning for Continuous High-Dimensional POMDPs Abstract page for arXiv paper 2112.09456v1: Visual Learning-based Planning for Continuous High-Dimensional POMDPs visual learning planning for high dimensional 2112 based https://deepai.org/publication/investigating-and-exploiting-image-resolution-for-transfer-learning-based-skin-lesion-classification Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion... Jun 25, 2020 - 06/25/20 - Skin cancer is among the most common cancer types. Dermoscopic image analysis improves the diagnostic accuracy for detection of ma... image resolution transfer learning investigating exploiting https://www.mdpi.com/1424-8220/23/6/3180 Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation... Customer segmentation has been a hot topic for decades, and the competition among businesses makes it more challenging. The recently introduced Recency,... customer analysis machine learning classification algorithms using https://www.preprints.org/manuscript/202409.1326 Machine Learning-Based Mortality Risk Stratification in Synovial Sarcoma Patients: A Retrospective... Background: Synovial sarcoma is a rare soft tissue tumor that constitutes 5-10% of all soft tissue sarcomas. Early diagnosis and risk stratification are... machine learning risk stratification https://www.ojp.gov/ncjrs/virtual-library/abstracts/adversarial-autoencoder-data-synthesis-enhancing-machine-learning Adversarial Autoencoder Data Synthesis for Enhancing Machine Learning-Based Phishing Detection... This study demonstrates how to implement classifiers with higher performance and more resistance to adversarial attacks using two Generative Adversarial... data synthesis machine learning adversarial autoencoder https://deepai.org/publication/deep-learning-based-cloud-cover-parameterization-for-icon Deep Learning Based Cloud Cover Parameterization for ICON | DeepAI Dec 21, 2021 - 12/21/21 - A promising approach to improve cloud parameterizations within climate models and thus climate projections is to use deep learning... deep learning cloud cover based parameterization icon https://thehackernews.com/2021/08/researchers-propose-machine-learning.html?version=meter+at+null Researchers Propose Machine Learning-based Bluetooth Authentication Scheme Researchers propose a machine learning-based authentication scheme for Bluetooth machine learning researchers propose based bluetooth https://deepai.org/publication/reinforcement-learning-based-cooperative-coded-caching-under-dynamic-popularities-in-ultra-dense-networks Reinforcement Learning Based Cooperative Coded Caching under Dynamic Popularities in Ultra-Dense... Mar 8, 2020 - 03/08/20 - For ultra-dense networks with wireless backhaul, caching strategy at small base stations (SBSs), usually with limited storage, is ... reinforcement learning coded caching https://aclanthology.org/2025.coling-demos.20/ Autonomous Machine Learning-Based Peer Reviewer Selection System - ACL Anthology Nurmukhammed Aitymbetov, Dimitrios Zorbas. Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations. 2025. machine learning peer reviewer autonomous based selection https://arxiv.org/abs/1801.01681 [1801.01681] VulDeePecker: A Deep Learning-Based System for Vulnerability Detection Abstract page for arXiv paper 1801.01681: VulDeePecker: A Deep Learning-Based System for Vulnerability Detection deep learning 1801 https://openreview.net/forum?id=zE4mL85zgg&referrer=%5Bthe%20profile%20of%20Baochang%20Zhang%5D(%2Fprofile%3Fid%3D~Baochang_Zhang1) CLAD: A Contrastive Learning based Method for Multi-Class Anomaly Detection | OpenReview Anomaly detection is crucial yet challenging in industrial production, especially in multi-class scenarios. Existing high-performance unsupervised methods... contrastive learning https://www.amazon.science/publications/deep-learning-based-automatic-volume-control-and-limiter-system Deep Learning Based Automatic Volume Control And Limiter System - Amazon Science Automatic speech recognition is now playing an important role in volume control and adjustment of modern smart speakers. According to the recognition results... automatic volume control deep learning based https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2024.1352152/full Frontiers | Learning-based personalisation of robot behaviour for robot-assisted therapy During robot-assisted therapy, a robot typically needs to be partially or fully controlled by therapists, for instance using a Wizard-of-Oz protocol; this ma... learning based frontiers personalisation robot behaviour https://arxiv.org/abs/2102.09069 [2102.09069] SRDTI: Deep learning-based super-resolution for diffusion tensor MRI Abstract page for arXiv paper 2102.09069: SRDTI: Deep learning-based super-resolution for diffusion tensor MRI deep learning https://www.oulu.fi/en/theses/learning-based-enhancements-for-sub-thz-communications-robust-transceivers-and-beam-management Learning-based Enhancements for Sub-THz Communications: Robust Transceivers and Beam Management |... learning based https://www.mdpi.com/2073-4360/16/23/3368 Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review The integration of machine learning (ML) into material manufacturing has driven advancements in optimizing biopolymer production processes. ML techniques,... machine learning process optimization based biopolymer manufacturing https://deepai.org/publication/viterbinet-a-deep-learning-based-viterbi-algorithm-for-symbol-detection ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection | DeepAI May 26, 2019 - 05/26/19 - Symbol detection plays an important role in the implementation of digital receivers. In this work, we propose ViterbiNet, which is... deep learning viterbi algorithm based https://aclanthology.org/E09-1041/ Learning-Based Named Entity Recognition for Morphologically-Rich, Resource-Scarce Languages - ACL... Kazi Saidul Hasan, Md. Altaf ur Rahman, Vincent Ng. Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009). 2009. named entity recognition learning based https://arxiv.org/abs/1805.11178 [1805.11178] Towards computational fluorescence microscopy: Machine learning-based integrated... Abstract page for arXiv paper 1805.11178: Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and... fluorescence microscopy machine learning 1805 towards computational https://openreview.net/forum?id=aF5PHD6vll DOME: Distributed Online Learning based Multi-Estimate Fusion for Cooperative Predictive Target... This paper investigates cooperative predictive target tracking using a robotic swarm operating under high prediction bias and communication uncertainty. The... online learning https://arxiv.org/abs/2211.03665 [2211.03665] Machine learning based uncertainty quantification of turbulence model for airfoils Abstract page for arXiv paper 2211.03665: Machine learning based uncertainty quantification of turbulence model for airfoils machine learning uncertainty quantification https://openreview.net/forum?id=a78zU4GtIY8&referrer=%5Bthe%20profile%20of%20Megha%20Khosla%5D(%2Fprofile%3Fid%3D~Megha_Khosla1) Graph learning-based generation of abstractions for reinforcement learning | OpenReview The application of reinforcement learning (RL) algorithms is often hindered by the combinatorial explosion of the state space. Previous works have leveraged... learning based graph generation abstractions reinforcement https://easychair.org/publications/preprint/bwN7 Personalized Inductive Learning Based on Emotion Recognition with Support from Artificial... with support from inductive learning based on emotion recognition personalized https://www.mdpi.com/1424-8220/22/14/5250 Deep Learning-Based Non-Intrusive Commercial Load Monitoring Commercial load is an essential demand-side resource. Monitoring commercial loads helps not only commercial customers understand their energy usage to improve... deep learning based non intrusive commercial https://www.mdpi.com/1996-1073/16/3/1512 A Systematic Study on Reinforcement Learning Based Applications We have analyzed 127 publications for this review paper, which discuss applications of Reinforcement Learning (RL) in marketing, robotics, gaming, automated... reinforcement learning systematic study based applications https://www.rohde-schwarz.com/au/applications/machine-learning-based-network-optimization_230850-1471490.html Machine learning based network optimization | Rohde & Schwarz Machine learning use cases like network utilization rating and call stability score extract insights from network data analytics enabling network optimization machine learning network optimization based rohde schwarz https://deepai.org/publication/lehdc-learning-based-hyperdimensional-computing-classifier LeHDC: Learning-Based Hyperdimensional Computing Classifier | DeepAI Mar 18, 2022 - 03/18/22 - Thanks to the tiny storage and efficient execution, hyperdimensional Computing (HDC) is emerging as a lightweight learning framewo... learning based hyperdimensional computing classifier deepai https://sciencedaily.com/releases/2022/01/220131131920.htm Towards greener smart cities with machine learning-based 'sleep schedules' | ScienceDaily While cellular networks are the foundation of smart cities, they consume a lot of energy, enhancing global warming. Putting base stations (BSs) with low... smart cities machine learning sleep schedules towards greener https://www.mdpi.com/2072-6694/16/17/2983 A Deep Learning-Based Framework for Highly Accelerated Prostate MR Dispersion Imaging Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) measures microvascular perfusion by capturing the temporal changes of an MRI contrast agent in a... deep learning https://openreview.net/forum?id=zE4mL85zgg&referrer=%5Bthe%20profile%20of%20Hong%20Li%5D(%2Fprofile%3Fid%3D~Hong_Li4) CLAD: A Contrastive Learning based Method for Multi-Class Anomaly Detection | OpenReview Anomaly detection is crucial yet challenging in industrial production, especially in multi-class scenarios. Existing high-performance unsupervised methods... contrastive learning https://openreview.net/forum?id=5tjdRyqnSn PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis |... Predictive coding has been established as a promising neuroscientific theory to describe the mechanism of information processing in the retina or cortex. This... brain inspired contrastive learning non https://dirstop.com/story28411351/machine-learning-based-digital-currency-investment-quant-systems-models Machine Learning-Based Digital Currency Investment: Quant Systems & Models machine learning digital currency based investment quant https://uwaterloo.ca/hybrid-systems-lab/references/structured-online-learning-based-control-continuous-time Structured Online Learning-based Control of Continuous-time Nonlinear Systems | Hybrid Systems Lab... online learning https://deepai.org/publication/evaluating-deep-learning-based-melanoma-classification-using-immunohistochemistry-and-routine-histology-a-three-center-study Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine... Sep 7, 2023 - 09/07/23 - Pathologists routinely use immunohistochemical (IHC)-stained tissue slides against MelanA in addition to hematoxylin and eosin (H ... deep learning evaluating based melanoma classification https://openreview.net/forum?id=ewDvdtfzN0&referrer=%5Bthe%20profile%20of%20Jie%20Liu%5D(%2Fprofile%3Fid%3D~Jie_Liu15) DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference | OpenReview Due to limited resources on edge and different characteristics of deep neural network (DNN) models, it is a big challenge to optimize DNN inference performance... learning based for energy https://www.ojp.gov/library/publications/interpretable-deep-learning-based-forensic-iris-segmentation-and-recognition Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition | Office of Justice... This paper proposes a postmortem iris segmentation approach that detects abnormal regions caused by eye decomposition processes, with implications for forensic... deep learning https://arxiv.org/abs/1711.00837 [1711.00837] Oversampling for Imbalanced Learning Based on K-Means and SMOTE Abstract page for arXiv paper 1711.00837: Oversampling for Imbalanced Learning Based on K-Means and SMOTE imbalanced learning https://www.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2024.1421401/full Frontiers | Machine learning-based gait adaptation dysfunction identification using CMill-based... BackgroundCombining machine learning (ML) with gait analysis is widely applicable for diagnosing abnormal gait patterns.ObjectiveTo analyze gait adaptability... machine learning frontiers based gait adaptation https://www.mendeley.com/catalogue/415dff3f-6dcc-3615-a3d2-721472aa1105/ Machine learning based diagnosis ... preview & related info | Mendeley (2019) Saxena, Maurya. International Journal of Innovative Technology and Exploring Engineering. Recently, heart failure has become one of the major Causes of... machine learning related info based diagnosis preview https://arxiv.org/abs/2001.07915v1 [2001.07915v1] Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile... Abstract page for arXiv paper 2001.07915v1: Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication reinforcement learning https://www.mdpi.com/2077-0383/11/15/4578 Deep-Learning-Based Detection of Paroxysmal Supraventricular Tachycardia Using Sinus-Rhythm... Background: Paroxysmal supraventricular tachycardia (PSVT) is a common arrhythmia associated with palpitation and a decline in quality of life. However, it is... deep learning supraventricular tachycardia based detection https://www.aanda.org/articles/aa/abs/2025/06/aa54703-25/aa54703-25.html ThermoONet: Deep learning-based small-body thermophysical network - Applications to modeling the... deep learning small body https://openreview.net/forum?id=6LJvlAiD9z ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and... Deep neural networks (DNN) have shown great capacity of modeling a dynamical system; nevertheless, they usually do not obey physics constraints such as... contrastive learning https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2021.651313/full Frontiers | Quantitative Phase Imaging Using Deep Learning-Based Holographic Microscope Digital holographic microscopy enables measurement of the quantitative light field information and the visualization of transparent specimens. It can be impl... quantitative phase imaging deep learning frontiers using based https://www.kth.se/om/upptack/kalender/disputationer/learning-based-control-for-4d-printing-and-soft-robotics-1.1198974 Learning-based Control for 4D Printing and Soft Robotics | KTH learning based 4d printing soft robotics control kth https://arxiv.org/html/2406.14325v1 Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers machine learning research overview reproducibility based barriers https://arxiv.org/abs/2503.21433 [2503.21433] On Learning-Based Traffic Monitoring With a Swarm of Drones Abstract page for arXiv paper 2503.21433: On Learning-Based Traffic Monitoring With a Swarm of Drones on learning traffic monitoring https://www.mcgill.ca/cim/channels/event/data-driven-and-learning-based-methods-control-challenges-and-new-horizons-336545 Data-driven and learning-based methods for control: Challenges and new horizons | Centre for... Virtual Informal Systems Seminar (VISS) Centre for Intelligent Machines (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decisions (GERAD) Speaker:... data driven learning based https://www.utwente.nl/en/et/ms3/research-chairs/amda/projects/phd-project-machine-learning-based-structural-fracture-response/ Machine learning based structural fracture response | Department MS3 machine learning based structural fracture response https://deepai.org/publication/visualizing-deep-learning-based-radio-modulation-classifier Visualizing Deep Learning-based Radio Modulation Classifier | DeepAI May 3, 2020 - 05/03/20 - Deep learning has recently been successfully applied in automatic modulation classification by extracting and classifying radio fe... deep learning visualizing based radio modulation https://www.mdpi.com/2297-8747/23/1/11 Machine Learning-Based Sentiment Analysis for Twitter Accounts Growth in the area of opinion mining and sentiment analysis has been rapid and aims to explore the opinions or text present on different platforms of social... machine learning sentiment analysis based twitter accounts https://arxiv.org/abs/2502.04696 [2502.04696] Adaptive Learning-based Model Predictive Control Strategy for Drift Vehicles Abstract page for arXiv paper 2502.04696: Adaptive Learning-based Model Predictive Control Strategy for Drift Vehicles model predictive control adaptive learning https://github.blog/ai-and-ml/machine-learning/c-or-java-typescript-or-javascript-machine-learning-based-classification-of-programming-languages/?ref=brainarchives.com C# or Java? TypeScript or JavaScript? Machine learning based classification of programming... Feb 17, 2022 - To make language detection more robust and maintainable in the long run, we developed a machine learning classifier named OctoLingua. javascript machine learning typescript https://pmc.ncbi.nlm.nih.gov/articles/PMC11408529/ Machine learning based classification of presence utilizing psychophysiological signals in... In Virtual Reality (VR), a higher level of presence positively influences the experience and engagement of a user. There are several parameters that are... machine learning based classification presence utilizing https://www.mdpi.com/1424-8220/20/24/7124 Deep Learning-Based Cell-Level and Beam-Level Mobility Management System The deployment with beamforming-capable base stations in 5G New Radio (NR) requires an efficient mobility management system to reliably operate with minimum... deep learning mobility management based cell level https://deepai.org/publication/improving-generalization-capability-of-deep-learning-based-nuclei-instance-segmentation-by-non-deterministic-train-time-and-deterministic-test-time-stain-normalization Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by... Sep 12, 2023 - 09/12/23 - With the advent of digital pathology and microscopic systems that can scan and save whole slide histological images automatically,... deep learning instance segmentation improving generalization capability https://openreview.net/forum?id=gAP52Z2dar Inverse Preference Learning: Preference-based RL without a Reward Function | OpenReview Reward functions are difficult to design and often hard to align with human intent. Preference-based Reinforcement Learning (RL) algorithms address these... preference learning reward function inverse based rl https://www.atlantis-press.com/proceedings/aes-20/125958688 The Effect of e-Learning Based on Problem Based Learning (PBL) on the Learning Outcomes of... The development of information and communication technology (ICT) has provided many changes in the world of education. Teaching materials, strategies, media,... the effect learning based problem pbl outcomes https://www.mdpi.com/1424-8220/22/10/3776 Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal... Over the past couple of decades, many telecommunication industries have passed through the different facets of the digital revolution by integrating artificial... machine learning https://arxiv.org/abs/2304.05105 [2304.05105] Learning-based Rigid Tube Model Predictive Control Abstract page for arXiv paper 2304.05105: Learning-based Rigid Tube Model Predictive Control learning based rigid tube 2304 model predictive https://clearbuds.cs.washington.edu/ ClearBuds: Wireless Binaural Earbuds for Learning-based Speech Enhancement ClearBuds is a new set of earbuds that uses mobile machine learning to remove unwanted noise from your phone calls. It was developed by researchers at the... for learning wireless binaural earbuds based https://www.flexcryst.com/ FlexCryst | Machine Learning based Crystallography Suite FlexCryst: A force field based suite for crystal structure prediction, ML-energy scoring, and powder diffraction analysis. High-performance CSP and SDPD. machine learning based crystallography suite https://www.preprints.org/manuscript/202507.0414 DLGB-Olive: Using Deep Learning-Based Feature Extraction Followed by Gradient Boosting... Olive production holds a significant position in global agricultural trade. In addition to being influenced by seasonal climatic conditions, agricultural... deep learning https://openreview.net/forum?id=wWMXtc4hTp&referrer=%5Bthe%20profile%20of%20Zhiguang%20Cao%5D(%2Fprofile%3Fid%3D~Zhiguang_Cao1) Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems | OpenReview Neural solvers based on the divide-and-conquer approach for Vehicle Routing Problems (VRPs) in general, and capacitated VRP (CVRP) in particular, integrates... vehicle routing problems hierarchical learning graph partition https://pmc.ncbi.nlm.nih.gov/articles/PMC10683641/ Learning based motion artifacts processing in fNIRS: a mini review - PMC This paper provides a concise review of learning-based motion artifacts (MA) processing methods in functional near-infrared spectroscopy (fNIRS), highlighting... learning based mini review motion artifacts processing https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2022.854191/full Frontiers | Reliable Detection of Myocardial Ischemia Using Machine Learning Based on... Background: Myocardial ischemia is a common early symptom of cardiovascular disease (CVD). Reliable detection of myocardial ischemia using computer-aided ana... myocardial ischemia machine learning frontiers reliable detection https://www.ri.se/en/solmaz-khazaei-flood-detection-using-deep-learning-based-segmentation Solmaz Khazaei: Flood detection using deep learning-based segmentation | RISE At RISE Learning Machines Seminar on May 7th, 2026, we have the pleasure to listen to Solmaz Khazaei, KTH Royal Institute of Technology, give her talk: Flood... flood detection deep learning solmaz khazaei using https://aclanthology.org/Y04-1002/ Machine Learning based NLP : Experiences and Supporting Tools - ACL Anthology Yuji Matsumoto. Proceedings of the 18th Pacific Asia Conference on Language, Information and Computation. 2004. machine learning supporting tools based nlp experiences https://easychair.org/publications/preprint/8kST Deep Learning-based Plane Pose Regression towards Training in Freehand Obstetric Ultrasound deep learning https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2021.739362/full Frontiers | Application of Deep Learning-Based Integrated Trial-Error + Science, Technology,... The purpose is to achieve a high-quality teaching effect in quality education using the new teaching concept. Firstly, the Deep Learning (DL) theory is intro... deep learning trial error frontiers application https://www.preprints.org/manuscript/202503.1864 Bangla Speech Emotion Recognition Using Deep Learning-Based Ensemble Learning and Feature... Emotion recognition in speech is essential for enhancing human-computer interaction (HCI) systems. Despite progress in Bangla speech emotion recognition,... speech emotion recognition deep learning bangla using