https://www.mdpi.com/2072-4292/14/11/2600
The normalized difference vegetation index (NDVI) is a key parameter in precision agriculture. It has been used globally since the 1970s as a proxy to monitor...
sentinelndviagriculturalfieldsusing
https://www.preprints.org/manuscript/202108.0389
The central goal of few-shot scene classification is to learn a model that can generalize well to a novel scene category (UNSEEN) from only one or a few...
taskadaptiveembeddinglearningdynamic
https://aclanthology.org/D19-1026/
Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren. Proceedings of the 2019 Conference on Empirical...
entity linkingacl anthologylearningdynamiccontext
https://www.techtimes.com/articles/302743/20240320/robot-cassie-masters-dynamic-movements-reinforcement-learning.htm
Meet Cassie, a humanoid robot that stands 3.2 feet tall, weighs 68 pounds, and has two legs designed to handle diverse terrains and dynamic movements.
reinforcement learningrobotcassiemastersdynamic
https://shakeuplearning.com/blog/dynamic-learning-2-0-a-framework-for-whats-next-part-1/
Nov 4, 2025 - Explore the first 3 of 6 critical shifts in this updated Dynamic Learning Framework 2.0 for 2025. Discover practical strategies for flexible learning time,...
dynamic learningframeworknextpart
https://openreview.net/forum?id=LCPoXt0pzm&referrer=%5Bthe%20profile%20of%20Chenjia%20Bai%5D(%2Fprofile%3Fid%3D~Chenjia_Bai2)
Humanoid robots are promising to acquire various skills by imitating human behaviors. However, existing algorithms are only capable of tracking smooth,...
whole bodyphysicsbasedhumanoidcontrol
https://www.amazon.science/publications/dynamic-transfer-learning-for-named-entity-recognition
State-of-the-art named entity recognition (NER) systems have been improving continuously using neural architectures over the past several years. However, many...
named entity recognitiontransfer learningamazon sciencedynamic
https://shakeuplearning.com/blog/dynamic-learning-2-0-a-framework-for-whats-next-part-2/
Oct 20, 2025 - Discover how the refreshed Dynamic Learning Framework reflects the evolving needs of today’s classrooms. In Part 2 of this series, Kasey Bell explores 3 key...
dynamic learningframeworknextpart
https://aclanthology.org/D16-1039/
Anh Tuan Luu, Yi Tay, Siu Cheung Hui, See Kiong Ng. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. 2016.
learningtermembeddingstaxonomicrelation
https://arxiv.org/abs/2411.07705
Abstract page for arXiv paper 2411.07705: dpvis: A Visual and Interactive Learning Tool for Dynamic Programming
interactive learningvisualtool
https://www.mdpi.com/2076-3417/13/14/8249
The balance between game difficulty and player skill in the evolving landscape of the video game industry is a significant factor in player engagement.
deep learningplayer engagementuseimprove
https://graphorium.com/
GraphOrium Ai is a full-service AI and machine learning development agency specializing in using deep learning to build sophisticated models and solutions for...
ai moderndeep learningdynamic
https://www.slideserve.com/tara/learning-centers-with-bulletin-boards
Transform your classroom into a dynamic learning center featuring versatile storage solutions. This space includes dramatic shelving for book and material...
dynamic learningpptspaceshelvesstorage
https://deepai.org/publication/efficient-decentralized-deep-learning-by-dynamic-model-averaging
07/09/18 - We propose an efficient protocol for decentralized training of deep neural networks from distributed data sources. The proposed pr...
deep learningdynamic modelefficientdecentralizedaveraging
https://arxiv.org/abs/2507.10524?utm_source=www.turingpost.com&utm_medium=referral&utm_campaign=fod-110-ai-is-for-everyone-and-for-a-better-future
Abstract page for arXiv paper 2507.10524: Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
mixturerecursionslearningdynamicrecursive
https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2013.00070/full
The existence of dedicated neuronal modules such as those organized in the cerebral cortex, thalamus, basal ganglia, cerebellum or spinal cord raises the que...
frontiersbiologicaloscillationslearningwalking
https://bizvidya.com/
Discover BizVidya, your go-to edtech platform for industry-driven courses, MSME consulting, and college collaborations. Explore our AI-driven recommendations,...
dynamicedtechplatformindustrydriven
https://genially.com/template/dynamic-learning-course/
Nov 11, 2025 - A free template to create an online learning course. Ideal for education, interactive classes, and e-learning platform. Customizable with didactic content....
dynamic learningcoursegeniallytemplates
https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2023.1130831/full
Purpose: To establish and validate a prediction model predicting risk of stroke recurrence within one year for patients with acute ischemic stroke (AIS) base...
machine learning modelfrontiersvisualizationdynamicclinical
https://www.universiteitleiden.nl/en/research/research-output/science/automated-machine-learning-for-dynamic-energy-management-using-time-series-data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine...
automated machine learningenergy managementtime seriesdynamicusing
https://deepai.org/publication/effect-of-choosing-loss-function-when-using-t-batching-for-representation-learning-on-dynamic-networks
08/13/23 - Representation learning methods have revolutionized machine learning on networks by converting discrete network structures into co...
loss functioneffectchoosingusingbatching
https://arxiv.org/abs/2512.05325
Abstract page for arXiv paper 2512.05325: LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
lynxlearningdynamicexitsconfidence
https://openreview.net/forum?id=MpGx4N57yp&referrer=%5Bthe%20profile%20of%20Yong%20Liu%5D(%2Fprofile%3Fid%3D~Yong_Liu16)
Recently, several spatial-temporal memory-based methods have verified that storing intermediate frames and their masks as memory are helpful to segment target...
video object segmentationdynamic memorylearningqualityaware