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 …
The personal health applications of machine learning techniques in the internet of behaviors
With the swift pace of the development of artificial intelligence (AI) in diverse spheres, the
medical and healthcare fields are utilizing machine learning (ML) methodologies in …
medical and healthcare fields are utilizing machine learning (ML) methodologies in …
A Comprehensive Survey on African Vulture Optimization Algorithm
Abstract African Vulture Optimization Algorithm (AVOA) is a nature-inspired optimization
technique that draws its inspiration from the behaviours and foraging patterns of African …
technique that draws its inspiration from the behaviours and foraging patterns of African …
An optimal task scheduling method in IoT-Fog-Cloud network using multi-objective moth-flame algorithm
Nowadays, cloud and fog computing have been leveraged to enhance Internet of Things
(IoT) performance. The outstanding potential of cloud platforms accelerates the processing …
(IoT) performance. The outstanding potential of cloud platforms accelerates the processing …
A comprehensive survey of upgradeable smart contract patterns
S Meisami, WE Bodell III - arXiv preprint arXiv:2304.03405, 2023 - arxiv.org
In this work, we provide a comprehensive survey of smart contract upgradability patterns
using proxies. A primary characteristic of smart contracts on the Ethereum blockchain is that …
using proxies. A primary characteristic of smart contracts on the Ethereum blockchain is that …
An efficient algorithm for data transmission certainty in IIoT sensing network: A priority-based approach
KG Nalbant, S Almutairi, AH Alshehri, H Kemal… - PloS one, 2024 - journals.plos.org
This paper proposes a novel cache replacement technique based on the notion of
combining periodic popularity prediction with size caching. The popularity, size, and time …
combining periodic popularity prediction with size caching. The popularity, size, and time …
Recent applications and advances of African Vultures Optimization Algorithm
AG Hussien, FS Gharehchopogh, A Bouaouda… - Artificial Intelligence …, 2024 - Springer
Abstract The African Vultures Optimization Algorithm (AVOA) is a recently developed meta-
heuristic algorithm inspired by the foraging behavior of African vultures in nature. This …
heuristic algorithm inspired by the foraging behavior of African vultures in nature. This …
Two-stage robust programming modeling for continuous berth allocation with uncertain vessel arrival time
S Qu, X Li, C Liu, X Tang, Z Peng, Y Ji - Sustainability, 2023 - mdpi.com
In order to mitigate the environmental pollution caused by sea freight, we focused on
optimizing carbon emissions in container terminal operations. This paper establishes a …
optimizing carbon emissions in container terminal operations. This paper establishes a …
Elevating Survivability in Next-Gen IoT-Fog-Cloud Networks: Scheduling Optimization With the Metaheuristic Mountain Gazelle Algorithm
The growth of the Internet of Things (IoT) has intensely enlarged the number of related
devices creating and consuming data. To handle this ever-growing data flow, Next …
devices creating and consuming data. To handle this ever-growing data flow, Next …
A deep reinforcement learning-based optimization approach for containerized microservice scheduling in Hybrid Fog/Cloud environments
The deployment of microservices in Hybrid Fog/Cloud (HFC) environments for Internet of
Things (IoT) applications presents a significant challenge in efficiently scheduling …
Things (IoT) applications presents a significant challenge in efficiently scheduling …