Results 131 to 140 of about 23,034 (235)

A Prospectus on Generative Artificial Intelligence in Marine Ecosystem Modelling

Fish and Fisheries, Volume 27, Issue 2, Page 130-144, March 2026.
ABSTRACT Marine ecosystem modelling faces increasing demands for rapid development and deployment to address urgent environmental challenges, yet technical complexity and time‐intensive processes often constrain timely insights for management decisions.
Scott Spillias
wiley   +1 more source

Explainable Artificial Intelligence in the Field of Drug Research

Drug Design, Development and Therapy
Qingyao Ding,1 Rufan Yao,1 Yue Bai,1 Limu Da,1 Yujiang Wang,2 Rongwu Xiang,1,3,4 Xiwei Jiang,1 Fei Zhai1 1Faculty of Medical Devices, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, People’s Republic of China; 2Department of Internal ...
Ding Q, Yao R, Bai Y, Da L, Wang Y, Xiang R, Jiang X, Zhai F   +7 more
doaj  

Machine Learning Assisted Fluorescent Sensor Array for Sensing Applications

Advanced Sensor Research, Volume 5, Issue 2, February 2026.
Chemical analysis is being revolutionized by the combination of the high‐dimensional, multi‐channel signals generated by fluorescent sensor arrays and the powerful data analysis enabled by machine learning. This review covers state‐of‐the‐art studies that use machine learning techniques for the identification and quantification of fluorescent sensor ...
Haobo Guo, Karandeep Grover, Elizabeth J. New   +2 more
wiley   +1 more source

Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning

Advanced Intelligent Discovery, Volume 2, Issue 1, February 2026.
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley   +1 more source

Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe. [PDF]

Sci Rep, 2022
Cilli R, Elia M, D'Este M, Giannico V, Amoroso N, Lombardi A, Pantaleo E, Monaco A, Sanesi G, Tangaro S, Bellotti R, Lafortezza R.   +11 more
europepmc   +1 more source

An Explainable and Lightweight CNN Framework for Robust Potato Leaf Disease Classification Using Grad‐CAM Visualization

Applied AI Letters, Volume 7, Issue 1, February 2026.
Proposed model achieves 99.14% accuracy with near‐perfect precision, recall, and F1 across all classes; Grad‐CAM visualizations confirm focus on biologically relevant symptom‐associated regions. ABSTRACT For identifying foliar diseases in crops at an early stage, accurate detection is necessary in maintaining food security, minimizing economic losses ...
MD Jiabul Hoque, Md. Saiful Islam
wiley   +1 more source

Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition. [PDF]

Sensors (Basel), 2023
Gouverneur P, Li F, Shirahama K, Luebke L, Adamczyk WM, Szikszay TM, Luedtke K, Grzegorzek M.   +7 more
europepmc   +1 more source

Explainable Artificial Intelligence (xAI): Reflections on Judicial System

Kutafin Law Review
Machine learning algorithms are increasingly being utilized in scenarios, such, as criminal, administrative and civil proceedings. However, there is growing concern regarding the lack of transparency and accountability due to the “black box” nature of these algorithms. This makes it challenging for judges’ to comprehend how decisions or predictions are
openaire   +1 more source

Automated AI‐Based Lung Disease Classification Using Point‐of‐Care Ultrasound

Applied AI Letters, Volume 7, Issue 1, February 2026.
Automated, AI‐based Lung Disease Classification using Point‐of‐Care Ultrasound. ABSTRACT Timely and accurate diagnosis of lung diseases is critical for reducing related morbidity and mortality. Lung ultrasound (LUS) has emerged as a useful point‐of‐care tool for evaluating various lung conditions.
Nixson Okila, Andrew Katumba, Joyce Nakatumba‐Nabende, Sudi Murindanyi, Jonathan Serugunda, Cosmas Mwikirize, Samuel Bugeza, Anthony Oriekot, Juliet Bosa, Eva Nabawanuka   +9 more
wiley   +1 more source

Dynamic Memory‐Augmented Whale Optimization Algorithm (DMA‐WOA) as Feature Descriptor for Polycystic Ovary Syndrome Detection

Applied AI Letters, Volume 7, Issue 1, February 2026.
Proposed approach for this study. ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control to improve ...
Daniel Kwame Amissah, Leonard Mensah Boante, Solomon Mensah, Ebenezer Owusu, Justice Kwame Appati   +4 more
wiley   +1 more source