[HTML][HTML] Enhanced data mining and visualization of sensory-graph-Modeled datasets through summarization
The acquisition, processing, mining, and visualization of sensory data for knowledge
discovery and decision support has recently been a popular area of research and …
discovery and decision support has recently been a popular area of research and …
Multiscroll hopfield neural network with extreme multistability and its application in video encryption for IIoT
F Yu, Y Lin, W Yao, S Cai, H Lin, Y Li - Neural Networks, 2025 - Elsevier
Abstract In Industrial Internet of Things (IIoT) production and operation processes, a
substantial amount of video data is generated, often containing sensitive personal and …
substantial amount of video data is generated, often containing sensitive personal and …
Securing internet of things using machine and deep learning methods: a survey
A Ghaffari, N Jelodari, S pouralish, N derakhshanfard… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) is a vast network of devices with sensors or actuators
connected through wired or wireless networks. It has a transformative effect on integrating …
connected through wired or wireless networks. It has a transformative effect on integrating …
[HTML][HTML] Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions
Quantum computing and machine learning (ML) have received significant developments
which have set the stage for the next frontier of creative work and usefulness. This paper …
which have set the stage for the next frontier of creative work and usefulness. This paper …
Strategic decision support system with probabilistic linguistic term sets: extended CRADIS approach for supply chain risk management in sports industry
K Qiu, J Chen, S Ashraf, T Shahid - IEEE Access, 2024 - ieeexplore.ieee.org
The global sports supplies industry, characterized by its complex and geographically
dispersed supply chains, presents companies with a multitude of risk factors. These range …
dispersed supply chains, presents companies with a multitude of risk factors. These range …
Robust deadline-aware network function parallelization framework under demand uncertainty
B Meng, A Rezaeipanah - Knowledge-Based Systems, 2024 - Elsevier
Abstract The orchestration of Service Function Chains (SFCs) in Mobile Edge Computing
(MEC) becomes crucial for ensuring efficient service provision, especially under dynamic …
(MEC) becomes crucial for ensuring efficient service provision, especially under dynamic …
DaE2: Unmasking malicious URLs by leveraging diverse and efficient ensemble machine learning for online security
AE Omolara, M Alawida - Computers & Security, 2025 - Elsevier
Over 5.44 billion people now use the Internet, making it a vital part of daily life, enabling
communication, e-commerce, education, and more. However, this huge Internet connectivity …
communication, e-commerce, education, and more. However, this huge Internet connectivity …
Selecting the foremost big data tool to optimize YouTube data in dynamic Fermatean fuzzy knowledge
D Alghazzawi, A Razaq, H Alolaiyan, A Noor… - PloS one, 2024 - journals.plos.org
Big data pertains to extensive and intricate compilations of information that necessitate the
implementation of proficient and cost-effective evaluation and analysis tools to derive …
implementation of proficient and cost-effective evaluation and analysis tools to derive …
Detection of top-r spreader influential nodes on the Social Internet of Things networks to maximize spreading influence
T Ma, L Lan, Y Zong, P Arebi - The European Physical Journal Plus, 2024 - Springer
Abstract The Social Internet of Things networks (SIoT networks) have emerged by combining
the Internet of Things with social networks. One of the most important issues in this type of …
the Internet of Things with social networks. One of the most important issues in this type of …
Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target detection
Y Lu, M Sun - Scientific Reports, 2025 - nature.com
Detecting small targets in UAV remote sensing images is challenging for traditional
lightweight methods due to difficulty in feature extraction and high background interference …
lightweight methods due to difficulty in feature extraction and high background interference …