Mechanical, fracture-deformation, and tribology behavior of fillers-reinforced sisal fiber composites for lightweight automotive applications

PK Miniappan, S Marimuthu, SD Kumar… - Reviews on Advanced …, 2023 - degruyter.com
The main focus of this study is on the effects of fly ash, basalt powder, and tungsten carbide
(WC) on the mechanical (tensile strength, flexural strength, impact strength, and Shore D …

Energy-efficient routing in wireless sensor networks: a meta-heuristic and artificial intelligence-based approach: a comprehensive review

R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer
Abstract Artificial Intelligence (AI) realizes Wireless Sensor Networks (WSNs) as a dynamic
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …

SEB-ChOA: an improved chimp optimization algorithm using spiral exploitation behavior

L Qian, M Khishe, Y Huang, S Mirjalili - Neural Computing and …, 2024 - Springer
The chimp optimization algorithm (ChOA) is a nature-inspired algorithm that imitates
chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …

Data-driven indoor positioning correction for infrastructure-enabled autonomous driving systems: A lifelong framework

C Zhao, A Song, Y Zhu, S Jiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Infrastructure-enabled autonomous driving systems have been increasingly applied in
confined environments. Automated valet parking (AVP) in smart parking garages is one of …

A GSO‐based multi‐objective technique for performance optimization of blockchain‐based industrial Internet of things

K Zanbouri, M Darbandi, M Nassr… - International Journal …, 2024 - Wiley Online Library
The latest developments in the industrial Internet of things (IIoT) have opened up a collection
of possibilities for many industries. To solve the massive IIoT data security and efficiency …

The optimization of nodes clustering and multi-hop routing protocol using hierarchical chimp optimization for sustainable energy efficient underwater wireless sensor …

S He, Q Li, M Khishe, A Salih Mohammed… - Wireless networks, 2024 - Springer
The design of underwater wireless sensor networks (UWSNs) faces many challenges,
including power consumption, storage, battery life, and transmission bandwidth. UWSNs …

[HTML][HTML] On logarithmic transformation-based approaches for retrieving traveling wave solutions in nonlinear optics

Y Tang, H Rezazadeh - Results in Physics, 2023 - Elsevier
Finding solutions in the solitary wave-form for nonlinear Schrödinger's equations with
dispersive and dispersion terms is challenging but would yield interesting results. The basic …

Enhancing robot path planning through a twin-reinforced chimp optimization algorithm and evolutionary programming algorithm

Y Zhang, H Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
The importance of efficient path planning (PP) cannot be overstated in the domain of robots,
as it involves the utilization of intelligent algorithms to determine the optimal trajectory for …

A Novel Electric Vehicle Battery Management System Using an Artificial Neural Network‐Based Adaptive Droop Control Theory

MZ Afzal, M Aurangzeb, S Iqbal… - … Journal of Energy …, 2023 - Wiley Online Library
The novelty of this research lies in the development of a new battery management system
(BMS) for electric vehicles, which utilizes an artificial neural network (ANN) and fuzzy logic …

Transforming transportation: Safe and secure vehicular communication and anomaly detection with intelligent cyber–physical system and deep learning

HN AlEisa, F Alrowais, R Allafi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent Cyber-Physical Transportation Systems (ICTS) rely deeply on data exchange
between moving vehicles and fixed infrastructure. While exchanging data between vehicles …