Distribution network reliability enhancement and power loss reduction by optimal network reconfiguration

D Anteneh, B Khan, OP Mahela, HH Alhelou… - Computers & Electrical …, 2021 - Elsevier
Voltage instability, power imbalance, and unreliability are all caused by power interruptions
and losses in the distribution system. The optimal reconfiguration of the distribution network …

[HTML][HTML] Blockchain enabled optimal Hopfield Chaotic Neural network based secure encryption technique for industrial internet of things environment

MM Khayyat, MM Khayyat, S Abdel-Khalek… - Alexandria Engineering …, 2022 - Elsevier
Abstract Industrial Internet of Things (IIoT) denotes a network of interlinked sensors,
instruments, and other devices for industrial applications in the domains of manufacturing …

Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm

P Manoharan, S Ravichandran, S Kavitha… - Scientific Reports, 2024 - nature.com
In this paper, a new method is designed to effectively determine the parameters of proton
exchange membrane fuel cells (PEMFCs), ie, ξ 1, ξ 2, ξ 3, ξ 4, RC, λ, and b. The fuel cells …

Dingo optimization based cluster based routing in internet of things

K Aravind, PKR Maddikunta - Sensors, 2022 - mdpi.com
The Wireless Sensor Network (WSN) is a collection of distinct, geographically distributed,
Internet-connected sensors, which is capable of processing, analyzing, storing, and …

Synchronizing artificial intelligence models for operating the dam and reservoir system

MF Allawi, O Jaafar, M Ehteram… - Water Resources …, 2018 - Springer
It is remarkable that several hydrological parameters have a significant effect on the
reservoir operation. Therefore, operating the reservoir system is complex issue due to …

Economic, reliability, environmental and operation factors to achieve optimal operations of multiple microgrids

A Xu, J Wu, G Zhou, S Saeedi - Computers & Chemical Engineering, 2023 - Elsevier
In this paper, a scenario-based strategy for optimizing multiple microgrids has been
proposed by considering the demand and renewable energy sources (RES) unit …

Ensemble classifier based big data classification with hybrid optimal feature selection

JCMJ Pamila, RS Selvi, P Santhi, TM Nithya - Advances in Engineering …, 2022 - Elsevier
Big data is turning out to be well-liked and enviable amongst numerous users for storing,
analyzing, and handling larger quantities of data. Nevertheless, clustering these larger data …

Deep CNN-based feature extraction with optimised LSTM for enhanced diabetic retinopathy detection

BN Bansode, B KM, AS Dildar, S GS - Computer Methods in …, 2023 - Taylor & Francis
The early detection and treatment of DR have helped the ophthalmologist to treat the
affected patients and to reduce vision loss. Computer-aided screening for automatic DR …

Tri-model classifiers for EEG based mental task classification: hybrid optimization assisted framework

A Mohammad, F Siddiqui, MA Alam, SM Idrees - BMC bioinformatics, 2023 - Springer
The commercial adoption of BCI technologies for both clinical and non-clinical applications
is drawing scientists to the creation of wearable devices for daily living. Emotions are …

A deep learning framework for multi-document summarization using LSTM with improved Dingo Optimizer (IDO)

G Singh, N Mittal, SS Chouhan - Multimedia Tools and Applications, 2024 - Springer
Multi-document summarization (MDS) is a topic of much attention in extensive knowledge
areas. Extractive MDS techniques intend to shrink the text from a document compilation by …