IEEE

Advancing Predictive Maintenance in Smart Grids with Machine Learning Techniques Through Comparative Analysis of SVM and CNN Models

Abstract: Applying ML techniques into smart grid architectures has transformed the predictive maintenance to a level that can predict equipment failures before they occur. This approach reduces the ...

Women’s Day 2026 Special: Women Who Shaped AI; From Early Computing To Modern Artificial Intelligence

Women’s Day is a moment to recognise women who have shaped different fields, including technology and artificial intelligence ...
IEEE

Federated Edge Learning with Hybrid CNN-Transformers for Secure, High-Accuracy Face Recognition in Resource-Constrained IoT Systems

Abstract: Traditional face recognition systems struggle to balance accuracy, privacy, and computational efficiency in IoT environments. This work addresses these challenges by proposing a novel ...
IEEE

Deep Learning and Optimization Algorithms for Intelligent Cloud Resource Allocation: A Survey

Abstract: With the arrival of the cloud computing, modern IT infrastructure has been transformed by the ability to provision resources on demand and scalable over the internet. Nevertheless, due to ...
IEEE

Brain MRI Analysis Using CNN-Based Feature Extraction and Machine Learning Techniques to Diagnose Alzheimer's Disease

Abstract: This research focuses on developing a complex framework for automatic diagnosis purposes of Alzheimer's disease from MRI brain data, with emphasis placed on advancement in accuracy towards ...
IEEE

RLCoder: Reinforcement Learning for Repository-Level Code Completion

Abstract: Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrievalaugmented ...
IEEE

A Critical Analysis on Evolution of Feature Selection Strategies in Machine Learning Models

Abstract: Data accomplishes astonishing sensation; however, the data's massiveness and distinctive features are obstacles to acquiring promising results. Feature selection (FS) algorithms can develop ...
IEEE

Machine-Learning Algorithm Applied to Magnetic Localization

Abstract: Magnetic localization does not require line of sight, this makes it suitable for various applications, including indoor navigation, surgical tracking, motion capture, and 3D body scanning.
IEEE

DemoCraft: Using In-Context Learning to Improve Code Generation in Large Language Models

Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...
IEEE

A Comprehensive Hybrid CNN-LSTM Deep Learning Model for Accurate Landslide Prediction

Abstract: A significant natural threat, landslides take lives and damage infrastructure. Economic setbacks often follow. The complex interplay of external factors-like terrain attributes and data on ...
IEEE

Reinforcement Learning Algorithm Helps Optimize Personalized Cognitive Behavioral Therapy for Anxiety Disorders

Abstract: This paper explores the application of reinforcement learning (RL) algorithms in optimizing personalized cognitive behavioral therapy (CBT) for anxiety disorders. Traditional CBT often lacks ...
Tech Xplore

Pinpointing direction in noisy 2D data: New algorithm could improve imaging, AI, particle research and more

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...