Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …
resources while enhancing the quality of life. To establish a sustainable urban existence …
Adventures in data analysis: A systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …
A secure intrusion detection platform using blockchain and radial basis function neural networks for internet of drones
A Heidari, NJ Navimipour… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The Internet of Drones (IoD) is built on the Internet of Things (IoT) by replacing “Things” with
“Drones” while retaining incomparable features. Because of its vital applications, IoD …
“Drones” while retaining incomparable features. Because of its vital applications, IoD …
Role of renewable energy investment and geopolitical risk in green finance development: Empirical evidence from BRICS countries
C Dong, H Wu, J Zhou, H Lin, L Chang - Renewable Energy, 2023 - Elsevier
Global efforts are being made to achieve ecological sustainability while reducing the
consequences of environmental degradation. We used panel data from Brazil, Russia, India …
consequences of environmental degradation. We used panel data from Brazil, Russia, India …
[HTML][HTML] Applications of two novel techniques in finding optical soliton solutions of modified nonlinear Schrödinger equations
Finding optical soliton solutions to nonlinear partial differential equations has become a
popular topic in recent decades. The primary goal of this study is to identify a diverse …
popular topic in recent decades. The primary goal of this study is to identify a diverse …
Greedy opposition-based learning for chimp optimization algorithm
M Khishe - Artificial Intelligence Review, 2023 - Springer
The chimp optimization algorithm (ChOA) is a hunting-based model and can be utilized as a
set of optimization rules to tackle optimization problems. Although ChOA has shown …
set of optimization rules to tackle optimization problems. Although ChOA has shown …
Sentiment analysis of Twitter data
Y Wang, J Guo, C Yuan, B Li - Applied Sciences, 2022 - mdpi.com
Twitter has become a major social media platform and has attracted considerable interest
among researchers in sentiment analysis. Research into Twitter Sentiment Analysis (TSA) is …
among researchers in sentiment analysis. Research into Twitter Sentiment Analysis (TSA) is …
A QoS-aware technique for computation offloading in IoT-edge platforms using a convolutional neural network and Markov decision process
Offloading is one of the critical enablers of the Internet of Things (IoT) as it helps overcome
the resource limitations of individual objects. Offering enough computational power for IoT …
the resource limitations of individual objects. Offering enough computational power for IoT …
Deep-learning-based approaches for semantic segmentation of natural scene images: A review
The task of semantic segmentation holds a fundamental position in the field of computer
vision. Assigning a semantic label to each pixel in an image is a challenging task. In recent …
vision. Assigning a semantic label to each pixel in an image is a challenging task. In recent …
Spiral Gaussian mutation sine cosine algorithm: framework and comprehensive performance optimization
W Zhou, P Wang, AA Heidari, X Zhao… - Expert Systems with …, 2022 - Elsevier
Abstract Sine Cosine Algorithm (SCA), as a recently viral population-based meta-heuristic,
which is in the extensive application for a variety of optimization cases. Regardless of the …
which is in the extensive application for a variety of optimization cases. Regardless of the …