A comprehensive review on RSM-coupled optimization techniques and its applications

A Susaimanickam, P Manickam, AA Joseph - Archives of Computational …, 2023 - Springer
This review article provides a comprehensive analysis of the optimization techniques used
in a wide range of engineering applications. The comparison of various approaches such as …

Video anomaly detection: A systematic review of issues and prospects

YA Samaila, P Sebastian, NSS Singh, AN Shuaibu… - Neurocomputing, 2024 - Elsevier
The increase in the deployment of surveillance camera in outdoor and indoor settings have
resulted in a growing demand for intelligent systems that can accurately detect and …

Enhancing short-term crime prediction with human mobility flows and deep learning architectures

J Wu, SM Abrar, N Awasthi, E Frias-Martinez… - EPJ data …, 2022 - epjds.epj.org
Place-based short-term crime prediction models leverage the spatio-temporal patterns of
historical crimes to predict aggregate volumes of crime incidents at specific locations over …

Fiber-optic telecommunication network wells monitoring by phase-sensitive optical time-domain reflectometer with disturbance recognition

AA Zhirnov, GY Chesnokov, KV Stepanov… - Sensors, 2023 - mdpi.com
The paper presents the application of a phase-sensitive optical time-domain reflectometer
(phi-OTDR) in the field of urban infrastructure monitoring. In particular, the branched …

ML-based inter-slice load balancing control for proactive offloading of virtual services

FSD Silva, SN Silva, LMD Da Silva, A Bessa, S Ferino… - Computer Networks, 2024 - Elsevier
In the new 5G networking digital era, Network Slicing is pivotal in delivering new visionary
applications (eg, holographic calls, tactical Internet, immersive video, and expanded reality) …

Distributed deep reinforcement learning based on bi-objective framework for multi-robot formation

J Li, Q Liu, G Chi - Neural Networks, 2024 - Elsevier
Improving generalization ability in multi-robot formation can reduce repetitive training and
calculation. In this paper, we study the multi-robot formation problem with the ability to …

Predicting buoyant jet characteristics: a machine learning approach

H Hassanzadeh, S Joshi, SM Taghavi - Chemical Product and …, 2024 - degruyter.com
We study positively buoyant miscible jets through high-speed imaging and planar laser-
induced fluorescence methods, and we rely on supervised machine learning techniques to …

[HTML][HTML] Artificial general intelligence for the detection of neurodegenerative disorders

YA Qadri, K Ahmad, SW Kim - Sensors, 2024 - mdpi.com
Parkinson's disease and Alzheimer's disease are among the most common
neurodegenerative disorders. These diseases are correlated with advancing age and are …

Second-law analysis of nanofluid-based photovoltaic/thermal system modeling and forecasting model based on artificial neural network

A Ali, K Aurangzeb, M Shoaib, M Alhussein… - … Analysis with Boundary …, 2023 - Elsevier
The PVT solar collectors can produce the thermal energy and power in a same frame. The
improvement of the PVT's efficiency leads to reducing the system size and capital costs. To …

CyTFS: Cyber-Twin Fog System for Delay Efficient Task Offloading in 6G Mobile Networks

S Gopikrishnan, G Srivastava… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Sixth-generation (6G) mobile computing is a wireless, cutting-edge technology that is made
possible by the digital Interconnectedness of Everything (IoE). 6G connection depends on …