Results 211 to 220 of about 140,490 (288)

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

Energy Science &Engineering, Volume 14, Issue 3, Page 1431-1455, March 2026.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga, Praveen Kumar Balachandran, Umawathy Techanamurthy, Muhammad Ammirrul Atiqi Mohd Zainuri   +3 more
wiley   +1 more source

Cybersecurity as it relates to perfusion. [PDF]

J Extra Corpor Technol
Lung K.
europepmc   +1 more source

A Scoping Review and Bibliometric Analysis on Smart Firefighting in Buildings and Infrastructures

Fire and Materials, Volume 50, Issue 2, Page 145-173, March 2026.
ABSTRACT Smart Firefighting is a concept that has emerged within the fire engineering and fire science disciplines in recent years. It can enable informed decision making and improved fire safety. However, its scope, definition, outcomes, and value to emergency management remain unclear. To investigate this, a scoping review and a bibliometric analysis
José Antonio Morales Mere, Nils Johansson, Enrico Ronchi   +2 more
wiley   +1 more source

Enhanced IoT threat detection using Graph-Regularized neural networks optimized by Sea-Lion algorithm. [PDF]

Sci Rep
Santhosh DT, Jyothi KK, Srilakshmi K, Swarupa A, Balachandran PK, Selvarajan S.   +5 more
europepmc   +1 more source

Critical Evaluation of the Impact of COVID‐19 Pandemic on Child Health and Wellbeing and Suggested Preparedness for Future Pandemics–A Narrative Review

Health Science Reports, Volume 9, Issue 3, March 2026.
ABSTRACT Background and Aims The immediate and long‐term effects of COVID‐19 pandemic on the children go beyond just being a viral infection. A child's mental health and psychological issues like irritability, anxiety, sadness, non‐attentiveness, attention deficit and hyperactive disorder needed evaluation.
Ranjan K. Mohapatra, Ashish K. Sarangi, Gurudutta Pattnaik, Puneet K. Singh, Rasmita Dash, Venkataramana Kandi, L. V. Simhachalam Kutikuppala, Rudra Narayan Sahoo, Snehasish Mishra, Anita Mishra, Sourya Subhra Nasker, Sasmita Nayak, Hayam A. Alrasheed, Nawal A. Al Kaabi, Amer Alshengeti, Altaf A. Abdulkhaliq, Ali A. Rabaan, Maha F. Al‐Subaie, Saad Alhumaid, Kuldeep Dhama, Md. Kudrat‐E‐Zahan   +20 more
wiley   +1 more source

Two-Tier heuristic search for ransomware-as-a-service based cyberattack défense analysis using explainable Bayesian deep learning model. [PDF]

Sci Rep
Almuflih AS.
europepmc   +1 more source

Transforming healthcare with large language models: Current applications, challenges, and future directions—a literature review

Journal of Intelligent Medicine, Volume 3, Issue 1, Page 8-25, March 2026.
Abstract AI‐based large language models (LLMs) have gradually made their way into various fields, transforming industries and changing the way we solve problems. LLMs have great potential in healthcare, where they can share the burden of data management, retrieval, and decision‐making.
Muhammad Umar, Vanessa Ali, Laiba Shamim, Imshaal Musharaf, Rabia Hafsa, Muhammad Umar Ahsan, Osama Ahmad, Lamea Bint Sabhan, Muhammad Saeed, Somaiya Ahmed, Sana Iftikhar, Noor Ul Ain   +11 more
wiley   +1 more source

An efficient cyber-attack detection and classification in IoT networks with high-dimensional feature set using Levenberg-Marquardt optimized feedforward neural network. [PDF]

PLoS One
Kuang Q, Kuang X.
europepmc   +1 more source

How New Issues Become Polarized: Partisan Triggers and Subsystem Shopping in Early AI Policymaking

Policy &Internet, Volume 18, Issue 1, March 2026.
ABSTRACT Early AI policymaking in the United States appeared bipartisan, but subsequent developments raise the question of whether AI policy will become more polarized over time. To examine how partisanship takes root around novel policy issues, we perform a mixed‐methods study, analyzing survey data from 129 state legislators in 44 states and ...
Robin Jacobson, Daniel S. Schiff, Kaylyn Jackson Schiff   +2 more
wiley   +1 more source

Orchestrating machine learning models in a swarm architecture for IoT inline malware detection. [PDF]

Sci Rep
Hanif M, Munir EU, Rehan MM, Ahmad SG, Ayyub K, Ramzan N.   +5 more
europepmc   +1 more source