Results 171 to 180 of about 90,921 (287)

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Editorial: Progress in Episodic Memory Research

Frontiers in Behavioral Neuroscience, 2016
Ekrem eDere, Ekrem eDere, Armin eZlomuzica, Angelica eStaniloiu, Angelica eStaniloiu, Angelica eStaniloiu, Hans J. Markowitsch   +6 more
doaj   +1 more source

How Specificity in Episodic Future Thinking Affects Prospective Memory: Cognitive Mechanisms and Latent Subgroup Differences. [PDF]

Behav Sci (Basel)
Cai C, Quan Z, Lin Q, Fang X, Lin Q.
europepmc   +1 more source

The Influence of Episodic Future Thinking and Graphic Warning Labels on Delay Discounting and Cigarette Demand. [PDF]

Int J Environ Res Public Health, 2021
Naudé GP, Dolan SB, Strickland JC, Berry MS, Cox DJ, Johnson MW.   +5 more
europepmc   +1 more source

Explainable AI‐Driven Optimization of Electrode Activation Reduces Power Consumption While Preserving Object Recognition in Retinal Prostheses

Advanced Intelligent Systems, EarlyView.
Explainable artificial intelligence (XAI) guides selective electrode activation in retinal prostheses by emphasizing visually informative regions. XAI‐assisted phosphene generation maintains object recognition performance while significantly reducing stimulation power.
Sein Kim, Hamin Shim, Maesoon Im
wiley   +1 more source

Episodic future thinking modulates delay discounting in individuals with problematic substance use: a narrative review. [PDF]

Front Psychiatry
Chen X, Wang H, Fan C.
europepmc   +1 more source

Initial evaluation of domain-specific episodic future thinking on delay discounting and cannabis use. [PDF]

Exp Clin Psychopharmacol, 2022
Sofis MJ, Lemley SM, Jacobson NC, Budney AJ.   +3 more
europepmc   +1 more source

OntoLogX: Ontology‐Guided Knowledge Graph Extraction From Cybersecurity Logs With Large Language Models

Advanced Intelligent Systems, EarlyView.
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti, Idilio Drago, Anisa Rula, Devis Bianchini, Federico Cerutti   +4 more
wiley   +1 more source

The impact of episodic future thinking on sports mental resilience and social inclusion among wheelchair tennis players. [PDF]

Afr J Disabil
Siva B, Palanivel OP, Gajendran K, Elanchezhian C, Rajkumar S, Sadagobane SK, Krishna Moorthy AP, Ganeshkumar C, Thirumalai J.   +8 more
europepmc   +1 more source

Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

American Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman, Thomas L. Marsh   +1 more
wiley   +1 more source