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Prof. Dr. Sadik Kamel Gharghan
Prof. Dr. Sadik Kamel Gharghan
Middle Technical University
Adresse e-mail validée de mtu.edu.iq - Page d'accueil
Titre
Citée par
Citée par
Année
Energy-efficient wireless sensor networks for precision agriculture: A review
HM Jawad, R Nordin, SK Gharghan, AM Jawad, M Ismail
Sensors 17 (8), 1781, 2017
7492017
Opportunities and challenges for near-field wireless power transfer: A review
AM Jawad, R Nordin, SK Gharghan, HM Jawad, M Ismail
Energies 10 (7), 1022, 2017
2872017
Urban water demand prediction for a city that suffers from climate change and population growth: Gauteng province case study
SL Zubaidi, S Ortega-Martorell, H Al-Bugharbee, I Olier, KS Hashim, ...
Water 12 (7), 1885, 2020
2082020
Accurate wireless sensor localization technique based on hybrid PSO-ANN algorithm for indoor and outdoor track cycling
SK Gharghan, R Nordin, M Ismail, J Abd Ali
IEEE Sensors Journal 16 (2), 529-541, 2015
2032015
Hybridised artificial neural network model with slime mould algorithm: a novel methodology for prediction of urban stochastic water demand
SL Zubaidi, IH Abdulkareem, KS Hashim, H Al-Bugharbee, HM Ridha, ...
Water 12 (10), 2692, 2020
1582020
A method for predicting long-term municipal water demands under climate change
SL Zubaidi, S Ortega-Martorell, P Kot, RM Alkhaddar, M Abdellatif, ...
Water Resources Management 34, 1265-1279, 2020
1512020
Wireless power transfer with magnetic resonator coupling and sleep/active strategy for a drone charging station in smart agriculture
AM Jawad, HM Jawad, R Nordin, SK Gharghan, NF Abdullah, ...
IEEE Access 7, 139839-139851, 2019
1432019
A novel methodology for prediction urban water demand by wavelet denoising and adaptive neuro-fuzzy inference system approach
SL Zubaidi, H Al-Bugharbee, S Ortega-Martorell, SK Gharghan, I Olier, ...
Water 12 (6), 1628, 2020
1362020
Accurate empirical path-loss model based on particle swarm optimization for wireless sensor networks in smart agriculture
HM Jawad, AM Jawad, R Nordin, SK Gharghan, NF Abdullah, M Ismail, ...
IEEE Sensors Journal 20 (1), 552-561, 2019
1262019
A novel methodology to predict monthly municipal water demand based on weather variables scenario
SL Zubaidi, K Hashim, S Ethaib, NSS Al-Bdairi, H Al-Bugharbee, ...
Journal of King Saud University-Engineering Sciences 34 (3), 163-169, 2022
962022
Short-term urban water demand prediction considering weather factors
SL Zubaidi, SK Gharghan, J Dooley, RM Alkhaddar, M Abdellatif
Water resources management 32, 4527-4542, 2018
812018
Adaptive neural fuzzy inference system for accurate localization of wireless sensor network in outdoor and indoor cycling applications
SK Gharghan, R Nordin, AM Jawad, HM Jawad, M Ismail
IEEE Access 6, 38475-38489, 2018
702018
A wireless sensor network with soft computing localization techniques for track cycling applications
SK Gharghan, R Nordin, M Ismail
Sensors 16 (8), 1043, 2016
692016
Accurate fall detection and localization for elderly people based on neural network and energy-efficient wireless sensor network
SK Gharghan, SL Mohammed, A Al-Naji, MJ Abu-AlShaeer, HM Jawad, ...
Energies 11 (11), 2866, 2018
642018
Soil color analysis based on a RGB camera and an artificial neural network towards smart irrigation: A pilot study
A Al-Naji, AB Fakhri, SK Gharghan, J Chahl
Heliyon 7 (1), 2021
632021
Energy-efficient ZigBee-based wireless sensor network for track bicycle performance monitoring
SK Gharghan, R Nordin, M Ismail
Sensors 14 (8), 15573-15592, 2014
602014
Power reduction with sleep/wake on redundant data (SWORD) in a wireless sensor network for energy-efficient precision agriculture
HM Jawad, R Nordin, SK Gharghan, AM Jawad, M Ismail, ...
Sensors 18 (10), 3450, 2018
592018
Robust hybrid beamforming scheme for millimeter-wave massive-MIMO 5G wireless networks
SL Mohammed, MH Alsharif, SK Gharghan, I Khan, M Albreem
Symmetry 11 (11), 1424, 2019
492019
Neural network-based Alzheimer’s patient localization for wireless sensor network in an indoor environment
Z Munadhil, SK Gharghan, AH Mutlag, A Al-Naji, J Chahl
IEEE Access 8, 150527-150538, 2020
482020
Accurate fall detection for patients with Parkinson's disease based on a data event algorithm and wireless sensor nodes
HA Hashim, SL Mohammed, SK Gharghan
Measurement 156, 107573, 2020
482020
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