Results 81 to 90 of about 4,251 (194)

Neurobiological correlates of obsessive‐compulsive disorder (OCD): A narrative review

Ibrain, Volume 12, Issue 1, Page 86-95, Spring 2026.
Obsessive‐compulsive disorder (OCD) is a common and disabling, as well as underdiagnosed, neuropsychiatric condition characterized by involuntary and unwanted obsessions and/or compulsions often accompanied by states of severe anxiety, distress and shame, as well as other comorbid disorders. Despite the extensive literature available to date, only some
Giulio Perrotta, Anna Sara Liberati
wiley   +1 more source

Do Fans of Violent Stories Show a Higher Potential for Creative Harm? True Crime as a Stimulating Environment for Malevolent Creativity

The Journal of Creative Behavior, Volume 60, Issue 1, March 2026.
ABSTRACT The media we consume may shape our cognition, emotion, and behavior. While violent media effects on aggression have been studied extensively, one popular media genre has escaped scrutiny until now: true crime, featuring real stories of assault, murder, or serial killings.
Corinna M. Perchtold‐Stefan, David Cropley, Katharina Sattler, Christian Rominger, Andreas Fink, Matthijs Baas   +5 more
wiley   +1 more source

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, Volume 43, Issue 2, Page 561-577, March 2026.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source

Fail‐Controlled Classifiers: A Swiss‐Army Knife Toward Trustworthy Systems

Software: Practice and Experience, Volume 56, Issue 3, Page 239-259, March 2026.
ABSTRACT Background Modern critical systems often require to take decisions and classify data and scenarios autonomously without having detrimental effects on people, infrastructures or the environment, ensuring desired dependability attributes. Researchers typically strive to craft classifiers with perfect accuracy, which should be always correct and ...
Fahad Ahmed Khokhar, Tommaso Zoppi, Andrea Ceccarelli, Leonardo Montecchi, Andrea Bondavalli   +4 more
wiley   +1 more source

Edge‐Oriented DoS/DDoS Intrusion Detection and Supervision Platform

SECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.
ABSTRACT This work presents an Edge Node‐Oriented DoS/DDoS Intrusion Detection and Monitoring Platform, a novel anomaly detection system based on temporal analysis with machine learning (ML) and deep learning (DL) algorithms, specifically designed to operate on edge servers with limited resources.
Geraldo Eufrazio Martins Júnior, Thales Guimaraes Marques, Wendley Souza da Silva, Joaquim Celestino Junior   +3 more
wiley   +1 more source

Real‐Time Detection and Prevention of DoS Attack in Unmanned Marine Vehicles Using Machine Learning

SECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.
ABSTRACT Unmanned marine vehicles (UMVs) are one of the most crucial components of the underwater communication and surveillance system in the marine and oceanographic environment. This research introduces a novel approach to stabilize the connection in an unstable underwater environment by inheriting features of communication velocities.
Noman Ali, Yousaf Saeed, Muhammad Ibrahim, Muhammad Bilal, Muhammad Tahir, Muhammad Aslam, Edore Akpokodje, Syeda Fizzah Jilani, Meng Tang   +8 more
wiley   +1 more source

Securing 5G/6G IoT Using Transformer and Personalized Federated Learning: An Access-Side Distributed Malicious Traffic Detection Framework

IEEE Open Journal of the Communications Society
Malicious traffic has posed a significant threat to current 5G networks. In the upcoming 6G era, with the rapid development of the Internet of Things (IoT), defending against malicious traffic has become even more challenging due to the diverse nature ...
Yantian Luo, Xu Chen, Hancun Sun, Xiangling Li, Ning Ge, Wei Feng, Jianhua Lu   +6 more
doaj   +1 more source

Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review examines the integration of federated learning (FL) in the Internet of Medical Things (IoMT), enhanced by 5G/6G technologies, to improve healthcare systems with decentralized data processing, enhanced privacy, reduced latency, and efficient resource utilization, while addressing emerging challenges and future research directions.
Abdul Ahad, Kazi Istiaque Ahmed, Farhan Ullah, Muhammad Aman Sheikh, Mohammad Tahir, Mohammad Hayajneh, Ivan Miguel Pires   +6 more
wiley   +1 more source

A Multi-Feature Semantic Fusion Machine Learning Architecture for Detecting Encrypted Malicious Traffic

Journal of Cybersecurity and Privacy
With the increasing sophistication of network attacks, machine learning (ML)-based methods have showcased promising performance in attack detection. However, ML-based methods often suffer from high false rates when tackling encrypted malicious traffic ...
Shiyu Tang, Fei Du, Zulong Diao, Wenjun Fan   +3 more
doaj   +1 more source

Abducted by a Terrestrial Alien: Sensory Distortions, Weird Fungi and Aerial Anomalies in a Decrepit Mountain Cabin

Anthropology of Consciousness, Volume 37, Issue 1, Spring 2026.
ABSTRACT This account explores how circumstances verging on the other‐worldly alter human perception and consciousness in a fieldwork situation. The case study involves an archaeological field survey team stranded for a time on a remote Lapland mountain.
Aki Hakonen, Oula Seitsonen, Vesa‐Pekka Herva   +2 more
wiley   +1 more source