A survey of modern deep learning based object detection models

SSA Zaidi, MS Ansari, A Aslam, N Kanwal… - Digital Signal …, 2022 - Elsevier
Object Detection is the task of classification and localization of objects in an image or video.
It has gained prominence in recent years due to its widespread applications. This article …

[HTML][HTML] Swarm intelligence in internet of medical things: A review

R Alizadehsani, M Roshanzamir, NH Izadi, R Gravina… - Sensors, 2023 - mdpi.com
Continuous advancements of technologies such as machine-to-machine interactions and
big data analysis have led to the internet of things (IoT) making information sharing and …

Research trends, themes, and insights on artificial neural networks for smart cities towards SDG-11

A Jain, IH Gue, P Jain - Journal of Cleaner Production, 2023 - Elsevier
Smart Cities can promote economic growth, sustainable transport, environmental
sustainability, and good governance among cities. These benefits can support cities in …

Digital-Twin-Enabled IoMT system for surgical simulation using rAC-GAN

Y Tai, L Zhang, Q Li, C Zhu, V Chang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
A digital-twin (DT)-enabled Internet of Medical Things (IoMT) system for telemedical
simulation is developed, systematically integrated with mixed reality (MR), 5G cloud …

A systematic review of object detection from images using deep learning

J Kaur, W Singh - Multimedia Tools and Applications, 2024 - Springer
The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …

Multimodal event processing: A neural-symbolic paradigm for the internet of multimedia things

E Curry, D Salwala, P Dhingra… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
With the Internet of Multimedia Things (IoMT) becoming a reality, new approaches are
needed to process real-time multimodal event streams. Existing approaches to event …

[HTML][HTML] Artificial intelligence (AI) and machine learning for multimedia and edge information processing

JKP Seng, KL Ang, E Peter, A Mmonyi - Electronics, 2022 - mdpi.com
The advancements and progress in artificial intelligence (AI) and machine learning, and the
numerous availabilities of mobile devices and Internet technologies together with the …

[HTML][HTML] Optimal Topology of Vision Transformer for Real-Time Video Action Recognition in an End-To-End Cloud Solution

S Sarraf, M Kabia - Machine Learning and Knowledge Extraction, 2023 - mdpi.com
This study introduces an optimal topology of vision transformers for real-time video action
recognition in a cloud-based solution. Although model performance is a key criterion for real …

A beginner's guide to infrastructure‐less networking concepts

A Förster, J Dede, A Könsgen, K Kuladinithi… - IET …, 2024 - Wiley Online Library
Infrastructure‐less networks connect communication devices end‐to‐end by managing links
and routes independent of fixed networking facilities, relying on dedicated protocols running …

Deep Counterfactual Representation Learning for Visual Recognition against Weather Corruptions

H Liu, Y Sun, Y Bandoh, M Kitahara… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep learning has been widely studied for processing and understanding multimedia data,
and it does help improve performance. Recent research has shown that deep models are …