Frontiers

Evolving challenges and breakthroughs in deep learning-driven medical imaging

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

An app that uses drone footage to track plastic litter on beaches is promoting voluntary cleanup in Ireland

Plastic pollution is one of those problems everyone can see, yet few know how to tackle it effectively. I grew up walking the ...
GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...
War on the RocksOpinion

Deep Learning From Operation Sindoor: Five Takeaways From a Four-Day War

Tensions between India and Pakistan — two countries that President Donald Trump claimed had been fighting for 1,500 years — ...
IEEE

Deep Learning-based Approach for Accelerated Economic Dispatch in Hierarchical Distributed Power Systems with Internet of Things

Abstract: With the increasing scale of the Internet of things (IoT) in power systems, the conventional centralized economic dispatch (ED) approach fails to satisfy the demands for computing ...
Frontiers

Optimization method of electric vehicle energy system based on machine learning

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
IEEE

Leveraging Deep Learning for Fault Detection and Localization in Distributed Systems

Abstract: The dynamic and complex nature of distributed systems makes fault localization extremely difficult, frequently leading to extended outages and higher operating expenses. A deep ...
Scientific Research Publishing

Bronfenbrenner’s Ecological Systems Theory in Childhood Resilience and Motivation in Learning: A Literature Review ()

Department of Administrative and Instructional Leadership, School of Education, St. John’s University, New York, USA. Motivation to learn can be defined as the willingness and readiness to engage with ...