Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare

NA Wani, R Kumar, J Bedi, I Rida - Information Fusion, 2024 - Elsevier
Abstract Background and Objective: Artificial Intelligence (AI) has shown significant
advancements across several industries, including healthcare, using better fusion …

[HTML][HTML] MEFF–A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging

L Alzubaidi, ALD Khamael, HAH Obeed… - Intelligent Systems With …, 2024 - Elsevier
Adversarial attacks pose a significant threat to deep learning models, specifically medical
images, as they can mislead models into making inaccurate predictions by introducing …

[HTML][HTML] Research on the Evolution Models and Risk of Disaster-Induced Storage Tank Explosions in a Smart City

Y Wang, T Cui, G Xu - Electronics, 2024 - mdpi.com
An important goal of smart cities is to ensure city safety and reduce city risks. However,
because the chemical industry park is often located interior and surroundings of a city, it is …

Improvement of the methodology for analyzing the urban environment quality management with the use of smart technologies

A Zakirova, G Klychova, A Zakirov… - E3S Web of …, 2024 - e3s-conferences.org
The process of integrating digital technologies into urban spaces is inherently linked to
scientific and technological progress. Providing effective urban services through the wide …

Comparative Analysis of Machine Learning Models for Real-Time Disaster Tweet Classification: Enhancing Emergency Response with Social Media Analytics

G Airlangga - Brilliance: Research of Artificial Intelligence, 2024 - jurnal.itscience.org
In the realm of disaster management, the real-time analysis of social media data, particularly
from Twitter, has become indispensable. This study investigates the efficacy of various …

Harnessing sensor fusion and AI for accurate accident detection and classification in the safety of smart cities

KR Reddy, TS Kumar, S Gogula… - MATEC Web of …, 2024 - matec-conferences.org
With the growing number of automobiles, traffic accidents are increasing daily. The World
Health Organization (WHO) study reports that annually, 1.4 million individuals have died …