IEEE

Real-Time Stress Detection for IT Employees Using Deep Learning and Image Processing

Abstract: The “Real-Time Stress Detection Using Deep Learning and Image Processing” identifies IT professionals stress levels from subtle face image assessments that occur at unexpected times.
SiliconANGLE

Meta’s new image segmentation models can identify objects and people and reconstruct them in 3D

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
GEN

Machine-Learning-Assisted mAb Yield Improvement

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
Scientific Research Publishing

Explainable Machine Learning in Risk Management: Balancing Accuracy and Interpretability ()

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
Frontiers

An intelligent identification for pest and disease detection in wheat leaf based on environmental data using multimodal data fusion

1 School of Mathematics and Statistics, Fuyang Normal University, Fuyang, China 2 State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan, China The ...
EurekAlert!

Hybrid imaging and modeling approach boosts accuracy of rice water stress detection

This approach delivers improved accuracy for key indicators, enabling more reliable drought assessment and potentially supporting smarter irrigation management. Water stress is a persistent challenge ...
IEEE

Stress Detection Using Natural Language Processing and Machine Learning Over Social Interaction

Abstract: Stress significantly impacts mental, emotional and physical well-being of humans. The traditional methods of assessing stress involve clinical interviews and physiological measurements, ...
Frontiers

Utilizing machine learning and bioinformatics analysis to identify drought stress responsive genes in wheat (Triticum aestivum L.)

1 College of Information Science and Engineering, Shandong Agricultural University, Tai'an, China 2 Key Laboratory of Huang-Huai-Hai Smart Agricultural Technology, Ministry of Agriculture and Rural ...
Business Insider

Utilities are tiptoeing into AI as climate change and data center growth add stress to the energy grid

Utilities are using AI to modernize the aging grid with tools to manage growing energy demands. Predictive maintenance and genAI assistants are predicting grid risk and reducing repair time. This ...