Results 51 to 60 of about 14,798 (256)

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Zero‐DAGNet: A Domain‐Adversarial Graph Network Integrated With POCO for Cyber‐Physical Security in Smart Grid

Energy Science &Engineering, EarlyView.
Proposed CPS for smart grid. ABSTRACT Smarter grids depend on Cyber‐Physical Systems (CPS) to merge physical energy distribution networks with computational intelligence, because these systems optimize reliability and sustainability and power delivery efficiency.
Karpaga Priya R, Praveen Kumar Balachandran, Umawathy Techanamurthy, Muhammad Ammirrul Atiqi Mohd Zainuri   +3 more
wiley   +1 more source

Improve Adversarial Robustness of AI Models in Remote Sensing via Data-Augmentation and Explainable-AI Methods

Remote Sensing
Artificial intelligence (AI) has made remarkable progress in recent years in remote sensing applications, including environmental monitoring, crisis management, city planning, and agriculture.
Sumaiya Tasneem, Kazi Aminul Islam
doaj   +1 more source

AI‐Driven Optimization Techniques for Power Quality Improvement in Microgrids: Trends, Techniques, and Future Directions

Energy Science &Engineering, EarlyView.
Decentralized energy systems are gaining momentum, and microgrids have become a vital component of the modern power landscape. Yet, maintaining power quality within these systems presents ongoing challenges due to the presence of nonlinear loads, variable renewable energy sources, and frequent switching operations.
Mahnoor Zahid, Hafiz Mudassir Munir, Mohammad Adeel, Fares Suliaman Alromithy, Mohammad R. Altimania, Ievgen Zaitsev   +5 more
wiley   +1 more source

A Comprehensive Risk Analysis Method for Adversarial Attacks on Biometric Authentication Systems

IEEE Access
Recent threats to deep learning-based biometric authentication systems stem from adversarial attacks exploiting vulnerabilities in deep learning models. While existing studies extensively analyze the risk of such attacks, they primarily focus on isolated
Seong Hee Park, Soo-Hyun Lee, Min Young Lim, Pyo Min Hong, Youn Kyu Lee   +4 more
doaj   +1 more source

Attack-agnostic Adversarial Detection on Medical Data Using Explainable\n Machine Learning [PDF]

, 2021
Matthew Watson, Noura Al Moubayed
openalex   +1 more source

Medical Data as a Key Asset in the Digital Health Era: A Framework for Challenges and Strategies

iMetaMed, EarlyView.
By conducting case studies and comparative analysis from a global perspective, this study develops the practical framework of Medical Data Element Ecosystem (MDEE)—one that facilitates MDEE construction by guiding actions, informing policy‐making, and enabling stakeholder engagement.
Jian Wang, Anqi Lin, Yedong Huang, Gezheng Li, Tianqi Chen, Chudi Sun, Weiye Qian, Shiqi Ren, Hank Z. H. Wong, Yanxi Ding, Lin Zhang   +10 more
wiley   +1 more source

The Lived Experience of Mothers of Children Who Have Been Sexually Abused‐ an Interpretative Phenomenological Analysis

Journal of Clinical Psychology, EarlyView.
ABSTRACT Objective Mothers of children who are survivors of sexual violence experience significant distress from the discovery of their child's abuse. Previous research has mostly focused on the mental health symptoms arising from this type of trauma, rather than the personal journey and meaning mothers take from these incidents.
Dympna Browne, Donncha Hanna, Julie‐Ann Jordan, Clare Howie, Kevin F. W. Dyer   +4 more
wiley   +1 more source

Care and COVID 19: Lessons for liberals and neoliberals

Child &Family Social Work, EarlyView., 2023
Abstract Within the liberal political traditions, care is regarded as a private matter, a problem of ethics rather than justice. Social justice is framed as an issue of economics (re/distribution), culture (recognition) and/or politics (representation).
Kathleen Lynch
wiley   +1 more source

The integration of generative artificial intelligence and machine learning in healthcare: Current applications and future directions

Journal of Intelligent Medicine, EarlyView.
Abstract Machine learning (ML) and generative artificial intelligence (GAI) in recent years are rapidly revolutionizing the healthcare industry offering improved precision and efficiency of healthcare delivery. The use of these advanced technologies in healthcare such as medical imaging, drug discoveries, predictive analytics, and personalized medicine
Muhammad Umar, Laiba Shamim, Imshaal Musharaf, Pakeezah Tabasum, Vani Malhotra, Kanza Farhan, Ayesha Hidayat, Muhammad Waqas, Amna Anwar, Maria Qadri, Shahana Reza   +10 more
wiley   +1 more source