Results 181 to 190 of about 54,278 (285)

WSVAD-CLIP: Temporally Aware and Prompt Learning with CLIP for Weakly Supervised Video Anomaly Detection. [PDF]

J Imaging
Li M, Sang J, Lu Y, Du L.
europepmc   +1 more source

Severity of effect considerations regarding the use of mutation as a toxicological endpoint for risk assessment: A report from the 8th International Workshop on Genotoxicity Testing (IWGT)

Environmental and Molecular Mutagenesis, EarlyView.
Abstract Exposure levels without appreciable human health risk may be determined by dividing a point of departure on a dose–response curve (e.g., benchmark dose) by a composite adjustment factor (AF). An “effect severity” AF (ESAF) is employed in some regulatory contexts.
Barbara L. Parsons, Marc A. Beal, Kerry L. Dearfield, George R. Douglas, Min Gi, B. Bhaskar Gollapudi, Robert H. Heflich, Katsuyoshi Horibata, Michelle Kenyon, Alexandra S. Long, David P. Lovell, Anthony M. Lynch, Meagan B. Myers, Stefan Pfuhler, Alisa Vespa, Andreas Zeller, George E. Johnson, Paul A. White   +17 more
wiley   +1 more source

Reservoir-enhanced segment anything model for subsurface diagnosis. [PDF]

Nat Commun
Zhou X, Liu S, Yan X, Fan Y, Wang X, Kang Y, Cheng J, Chen H.   +7 more
europepmc   +1 more source

Detection of interictal epileptiform discharges using multiple bilateral insertions of a newly developed microcatheter‐compatible endovascular electroencephalogram electrode: A clinical feasibility trial

Epilepsia Open, EarlyView.
Abstract Objective To assess the feasibility, technical performance, and safety of a novel endovascular electroencephalogram (eEEG) electrode, EP‐01, designed for minimally invasive seizure localization in patients with drug‐resistant epilepsy. Methods This single‐center, prospective, exploratory trial enrolled five patients with drug‐resistant ...
Kota Araki, Yosuke Masuda, Ayataka Fujimoto, Mitsuyo Nishimura, Hisayuki Hosoo, Hiroki Ishida, Takashi Enokizono, Kensuke Kawai, Eiichi Ishikawa, Yuji Matsumaru   +9 more
wiley   +1 more source

TU-DAT: A Computer Vision Dataset on Road Traffic Anomalies. [PDF]

Sensors (Basel)
Pradeep Kumar P, Kant K.
europepmc   +1 more source

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

Energy Science &Engineering, EarlyView.
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

A lightweight dual-stream architecture for flow enhanced anomaly detection (FEAD). [PDF]

Sci Rep
Yin C, Zhang Y, Qi C.
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

A Likelihood Ratio-Based Approach to Segmenting Unknown Objects. [PDF]

Int J Comput Vis
Nayal N, Shoeb Y, Güney F.
europepmc   +1 more source

Real‐time quality and safety monitoring of fruit juice using paper‐based platform

Food Biomacromolecules, EarlyView.
Schematic illustration of a paper‐based biosensor for rapid detection of fruit juice spoilage. Abstract Food spoilage and safety concerns still remain critically challenging within the fruit juice industry, especially as conventional detection methods, though precise, are often too time‐consuming, costly, and reliant on centralized laboratories.
Priti Das, Srushti Bhoite, Noopur Patil, Shubhro Chakrabartty, Debjani Dutta   +4 more
wiley   +1 more source