Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care
T Lai - BioMedInformatics, 2024 - mdpi.com
Recent advancements in artificial intelligence (AI) have facilitated its widespread adoption in
primary medical services, addressing the demand–supply imbalance in healthcare. Vision …
primary medical services, addressing the demand–supply imbalance in healthcare. Vision …
SecEdge: A novel deep learning framework for real-time cybersecurity in mobile IoT environments
The rapid growth of Internet of Things (IoT) devices presents significant cybersecurity
challenges due to their diverse and resource-constrained nature. Existing security solutions …
challenges due to their diverse and resource-constrained nature. Existing security solutions …
Improved Radial Movement Optimization With Fuzzy Neural Network Enabled Anomaly Detection for IoT Assisted Smart Cities
Recently, an extensive implementation of the recent Internet of Things (IoT) model has
resulted in the development of smart cities. The network traffic of smart cities using loT …
resulted in the development of smart cities. The network traffic of smart cities using loT …
[HTML][HTML] A Two-Step Machine Learning Approach for Predictive Maintenance and Anomaly Detection in Environmental Sensor Systems
Environmental sensor systems are essential for monitoring infrastructure and environmental
quality but are prone to unreliability caused by sensor faults and environmental anomalies …
quality but are prone to unreliability caused by sensor faults and environmental anomalies …
Enhancing IoT Network Security Using Feature Selection for Intrusion Detection Systems.
M Almohaimeed, F Albalwy - Applied Sciences (2076-3417), 2024 - search.ebscohost.com
Abstract The Internet of Things (IoT) connects people, devices, and processes in multiple
ways, resulting in the rapid transformation of several industries. Apart from several positive …
ways, resulting in the rapid transformation of several industries. Apart from several positive …
Interval-Valued Neutrosophic Set with Optimization Algorithm for Cyberthreat Detection and Classification in IoT Infrastructure.
Neutrosophic Logic is an offspring study region in which every intention is projected to hold
the proportion of indeterminacy in a subset I, the percentage of truth in a subset T, and the …
the proportion of indeterminacy in a subset I, the percentage of truth in a subset T, and the …
Scalable IoT Security Framework Leveraging Ensemble Learning for Attestation
TT Mini, S Behera, MS Reddy… - 2024 IEEE 16th …, 2024 - ieeexplore.ieee.org
Attestation involves providing verifiable evidence to support claims about the characteristics
of a target device. Devices that manage sensitive data-such as wearables, Industrial IoT …
of a target device. Devices that manage sensitive data-such as wearables, Industrial IoT …
Nonlinear Time Series Analysis for Anomaly Detection in Cybersecurity using Cloud IoT
AK Dwivedi - Advances in Nonlinear Variational Inequalities, 2023 - internationalpubls.com
The CloudIoT is an extensive network that hosts several IoT gadgets and apps. This
comprises the servers and the storage space required for real-time processing and …
comprises the servers and the storage space required for real-time processing and …
Access Control Mechanisms and Their Role in Preventing Unauthorized Data Access: A Comparative Analysis of RBAC, MFA, and Strong Passwords
ES Abduhari, TC Shaik, AB Adidul… - Natural Sciences …, 2025 - nasetjournal.com
In today's digital landscape, the protection of sensitive data from unauthorized access is a
critical concern for organizations of all sizes. Robust access control mechanisms are …
critical concern for organizations of all sizes. Robust access control mechanisms are …