Follow
Haneen Algethami
Haneen Algethami
Verified email at tu.edu.sa - Homepage
Title
Cited by
Cited by
Year
A genetic algorithm for a workforce scheduling and routing problem
H Algethami, RL Pinheiro, D Landa-Silva
2016 IEEE Congress on Evolutionary Computation (CEC), 927-934, 2016
292016
Smart packet transmission scheduling in cognitive IoT systems: DDQN based approach
A Salh, L Audah, MA Alhartomi, KS Kim, SH Alsamhi, FA Almalki, ...
IEEe Access 10, 50023-50036, 2022
282022
Refiner GAN algorithmically enabled deep-RL for guaranteed traffic packets in real-time URLLC B5G communication systems
A Salh, L Audah, KS Kim, SH Alsamhi, MA Alhartomi, Q Abdullah, ...
IEEE Access 10, 50662-50676, 2022
202022
A mathematical model for course timetabling problem with faculty-course assignment constraints
H Algethami, W Laesanklang
IEEE Access 9, 111666-111682, 2021
172021
Fuzzy-Based Recommendation System for University Major Selection.
S Alghamdi, N Alzhrani, H Algethami
IJCCI, 317-324, 2019
162019
Diversity-based adaptive genetic algorithm for a Workforce Scheduling and Routing Problem
H Algethami, D Landa-Silva
2017 IEEE Congress on Evolutionary Computation (CEC), 1771-1778, 2017
162017
Predicting characteristics associated with breast cancer survival using multiple machine learning approaches
MN Haque, T Tazin, MM Khan, S Faisal, SM Ibraheem, H Algethami, ...
Computational and Mathematical Methods in Medicine 2022, 2022
152022
Adaptive multiple crossover genetic algorithm to solve workforce scheduling and routing problem
H Algethami, A Martínez-Gavara, D Landa-Silva
Journal of Heuristics 25, 753-792, 2019
142019
Extended decomposition for mixed integer programming to solve a workforce scheduling and routing problem
W Laesanklang, RL Pinheiro, H Algethami, D Landa-Silva
Operations Research and Enterprise Systems: 4th International Conference …, 2015
122015
Establishing the fuzzy integrated hybrid MCDM framework to identify the key barriers to implementing artificial intelligence-enabled sustainable cloud system in an IT industry
R Alshahrani, M Yenugula, H Algethami, F Alharbi, SS Goswami, ...
Expert systems with applications 238, 121732, 2024
112024
Selecting Genetic Operators to Maximise Preference Satisfaction in a Workforce Scheduling and Routing Problem.
H Algethami, D Landa-Silva, A Martínez-Gavara
ICORES, 416-423, 2017
102017
A Study of Genetic Operators for the Workforce Scheduling and Routing Problem.
H Algethami, D Landa-Silva
Metaheuristics International Conference (MIC 2015), pp. 75.1-75.11, 2015
102015
A novel approach to predict brain cancerous tumor using transfer learning
MM Khan, AS Omee, T Tazin, FA Almalki, M Aljohani, H Algethami
Computational and Mathematical Methods in Medicine 2022, 2022
72022
Novel prediction model for COVID-19 in Saudi Arabia based on an LSTM algorithm
EH Alkhammash, H Algethami, R Alshahrani
Computational Intelligence and Neuroscience 2021, 2021
42021
Covid-19 identification using deep neural networks
A Khan, S Younis, H Algethami
2021 International Conference of Women in Data Science at Taif University …, 2021
32021
Local Search-Based Metaheuristic Methods for the Solid Waste Collection Problem
H Algethami
Applied Computational Intelligence and Soft Computing 2023, 2023
22023
Waste collection optimisation: a path to a green and sustainable city of makkah
H Algethami, GT Alhothali
Logistics 7 (3), 54, 2023
22023
Research Article Predicting Characteristics Associated with Breast Cancer Survival Using Multiple Machine Learning Approaches
MN Haque, T Tazin, MM Khan, S Faisal, SM Ibraheem, H Algethami, ...
2022
Research Article A Novel Approach to Predict Brain Cancerous Tumor Using Transfer Learning
MM Khan, AS Omee, T Tazin, FA Almalki, M Aljohani, H Algethami
2022
Genetic algorithms for workforce scheduling and routing problem
H Algethami
University of Nottingham, 2017
2017
The system can't perform the operation now. Try again later.
Articles 1–20