https://www.jmir.org/2025/1/e75340
Journal of Medical Internet Research - Comparison of Multimodal Deep Learning Approaches for...
Background: Implementing machine learning models to identify clinical deterioration on the wards is associated with decreased morbidity and mortality. However,...
multimodal deep learningjournal ofinternet researchmedical
https://deepai.org/publication/a-survey-on-deep-learning-approaches-for-vehicle-trajectory-prediction-in-autonomous-driving
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving |...
Oct 20, 2021 - 10/20/21 - With the rapid development of machine learning, autonomous driving has become a hot issue, making urgent demands for more intellig...
deep learning approaches
https://www.muni.cz/vyzkum/publikace/1882889
Recognition of Gait Disorders using Deep Learning Approaches | Masarykova univerzita | MUNI
deep learning approachesgait disordersmasarykova univerzitarecognitionusing
https://www.booktopia.com.au/deep-learning-approaches-in-intelligent-wireless-networking-bharat-bhushan/ebook/9781040876206.html
Deep Learning Approaches in Intelligent Wireless Networking, eBook by Bharat Bhushan |...
Buy Deep Learning Approaches in Intelligent Wireless Networking by Bharat Bhushan from Booktopia. Get a discounted ePUB from Australia's leading online...
deep learning approacheswireless networkingintelligent
https://easychair.org/smart-slide/slide/7HpC
Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images
deep learning approachesbreast ultrasoundsegmentation
https://aclanthology.org/2024.teachingnlp-1.4/
Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing...
Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya, Saurav Jha, Xiangyu Zhang. Proceedings of the Sixth Workshop on Teaching NLP. 2024.
striking a balancedeep learning approaches
https://www.usgs.gov/publications/deep-learning-approaches-improving-prediction-daily-stream-temperature-data-scarce
Deep learning approaches for improving prediction of daily stream temperature in data-scarce,...
Basin-centric long short-term memory (LSTM) network models have recently been shown to be an exceptionally powerful tool for stream temperature (Ts) temporal...
deep learning approaches
https://www.mdpi.com/2227-7080/12/6/77
Deep Learning Approaches for Water Stress Forecasting in Arboriculture Using Time Series of Remote...
Irrigation is crucial for crop cultivation and productivity. However, traditional methods often waste water and energy due to neglecting soil and crop...
deep learning approaches