Results 111 to 120 of about 24,617 (284)
Sustainable Development, EarlyView.ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella +4 more
wiley +1 more source
Small, EarlyView.This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun +4 more
wiley +1 more source
Serious Gaming for Building a Basis of Certification via Trust and Trustworthiness of Autonomous Systems [PDF]
Autonomous systems governed by a variety of adaptive and nondeterministic algorithms are being planned for inclusion into safety-critical environments, such as unmanned aircraft and space systems in both civilian and military applications. However, until
Allen, B. Danette
core +1 more source
Generative AI—the Transgression of Technology
Systems Research and Behavioral Science, EarlyView.ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley +1 more source
Explainable artificial intelligence (XAI) enabled anomaly detection and fault classification of an industrial asset [PDF]
, 2023 Jeetesh Sharma +2 more
openalex +1 more source
The Relations Between Pedagogical and Scientific Explanations of Algorithms: Case Studies from the French Administration [PDF]
The opacity of some recent Machine Learning (ML) techniques have raised fundamental questions on their explainability, and created a whole domain dedicated to Explainable Artificial Intelligence (XAI).
Pégny, Maël
core
(Dis)information Systems: a Systemic View of Disinformation
Systems Research and Behavioral Science, EarlyView.ABSTRACT Disinformation is an ancient social phenomenon that has found a favourable environment for dissemination in internet‐based social networks. While the scientific community seeks to address the problem by creating specific tools to detect and classify the various types of false information, we argue that systems thinking is necessary to ...
Herbert Laroca +2 more
wiley +1 more source
XAI-Based Clinical Decision Support Systems: A Systematic Review
Applied SciencesWith increasing electronic medical data and the development of artificial intelligence, clinical decision support systems (CDSSs) assist clinicians in diagnosis and prescription.
Se Young Kim +4 more
doaj +1 more source
Structural Concrete, EarlyView.Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley +1 more source
A Study Comparing Explainability Methods: A Medical User Perspective
Acta Electrotechnica et InformaticaIn recent years, we have witnessed the rapid development of artificial intelligence systems and their presence in various fields. These systems are very efficient and powerful, but often unclear and insufficiently transparent.
Matejová Miroslava +2 more
doaj +1 more source