Energy aware optimized clustering for hierarchical routing in wireless sensor network

RK Yadav, RP Mahapatra - Computer Science Review, 2021 - Elsevier
Abstract In fact, Cluster Head (CH) can be selected randomly or based on one or more
criteria that directly pave the way for maximizing network lifetime. However, the selection of …

Fuzzy mathematical programming and self-adaptive artificial fish swarm algorithm for just-in-time energy-aware flow shop scheduling problem with outsourcing option

EB Tirkolaee, A Goli, GW Weber - IEEE transactions on fuzzy …, 2020 - ieeexplore.ieee.org
Flow shop scheduling (FSS) problem constitutes a major part of production planning in
every manufacturing organization. It aims at determining the optimal sequence of processing …

A hybrid local search-genetic algorithm for simultaneous placement of DG units and shunt capacitors in radial distribution systems

EA Almabsout, RA El-Sehiemy, ONU An… - IEEE Access, 2020 - ieeexplore.ieee.org
Controlling active/reactive power in distribution systems has a great impact on its
performance. The placement of distributed generators (DGs) and shunt capacitors (SCs) are …

Application of type-2 fuzzy logic to a multiobjective green solid transportation–location problem with dwell time under carbon tax, cap, and offset policy: fuzzy versus …

SK Das, SK Roy, GW Weber - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
We are observing more often extreme climate incidents because of global warming. There is
a dire requirement for governments, enterprises, the overall population, and academics to …

[HTML][HTML] Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands

P Wang, D Wang, C Zhu, Y Yang, HM Abdullah… - Energy Reports, 2020 - Elsevier
The high growth of the automotive industry reveals the very bright future of this technology
and its high penetration effects on the human society. No doubt that the random and volatile …

Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning

G Du, Y Zou, X Zhang, Z Kong, J Wu, D He - Applied Energy, 2019 - Elsevier
The energy management approach of hybrid electric vehicles has the potential to overcome
the increasing energy crisis and environmental pollution by reducing the fuel consumption …

[HTML][HTML] An empirical study on the influence of smart home interface design on the interaction performance of the elderly

C Zhou, Y Dai, T Huang, H Zhao, J Kaner - International Journal of …, 2022 - mdpi.com
The concept of the smart home has been widely recognized and accepted, but the
differentiated characteristics of elderly smart products in terms of demand and use are …

Utilizing Siamese 4D-AlzNet and Transfer Learning to Identify Stages of Alzheimer's Disease

A Mehmood, F Shahid, R Khan, MM Ibrahim, Z Zheng - Neuroscience, 2024 - Elsevier
Alzheimer's disease (AD) is the general form of dementia, leading to a progressive
neurological disorder characterized by memory loss due to brain cell damage. Artificial …

Quantum-resistant cryptography for the internet of things based on location-based lattices

OS Althobaiti, M Dohler - IEEE Access, 2021 - ieeexplore.ieee.org
An important enabler of the Internet of Things (IoT) is the Narrow-Band Internet of Things
(NB-IoT) technology, which is a 3GPP standards compliant connectivity solution. Quantum …

Grey wolf optimizer for optimal sizing of hybrid wind and solar renewable energy system

DK Geleta, MS Manshahia, P Vasant… - Computational …, 2022 - Wiley Online Library
By taking facts such as oil depletion, increasing number of population and energy demand
into account, alternative electric generation scheme called renewable energy has entered …