Scientific Research Publishing

Reinforcement Learning for Antidepressant Dose Adjustment: An Explainable Agent Approach ()

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...

3 MedTech Stocks Poised to Gain in 2026 From the AI Boom

AI is reshaping MedTech, and Stryker, Tempus AI and GE HealthCare are emerging as key players leveraging AI across surgery, ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
IEEE

Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects

Deep Neural Networks (DNNs) have emerged as a prominent set of algorithms for complex real-world applications. However, state-of-the-art DNNs require a significant amount of data and computational ...
IEEE

A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision

Abstract: Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This article presents a comprehensive survey of ...

The AI leader's new balance: What changes (and what remains) in the age of algorithms

Successful leaders will harness the power of AI while amplifying essential human capabilities. Three experts share essential ...
Yardbarker

Browns dig deep on depth chart for solutions to recent offensive line injuries

If the Cleveland Browns already didn't have enough problems to deal with after a 3-9 start, the team has more issues to handle from the offensive line. Browns head coach Kevin Stefanski gave updates ...
Frontiers

Efficiency algorithm: new AI-based tools for an adaptive learning environment

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...