Követés
Anam Nawaz Khan
Anam Nawaz Khan
Post-doctoral Researcher at Big Data Research Center Jeju National University
E-mail megerősítve itt: jejunu.ac.kr
Cím
Hivatkozott rá
Hivatkozott rá
Év
An ensemble energy consumption forecasting model based on spatial-temporal clustering analysis in residential buildings
AN Khan, N Iqbal, A Rizwan, R Ahmad, DH Kim
Energies 14 (11), 3020, 2021
752021
An efficient multi-scale convolutional neural network based multi-class brain MRI classification for SaMD
SA Yazdan, R Ahmad, N Iqbal, A Rizwan, AN Khan, DH Kim
Tomography 8 (4), 1905-1927, 2022
452022
Ensemble prediction approach based on learning to statistical model for efficient building energy consumption management
AN Khan, N Iqbal, R Ahmad, DH Kim
Symmetry 13 (3), 405, 2021
452021
Groundwater level prediction model using correlation and difference mechanisms based on boreholes data for sustainable hydraulic resource management
N Iqbal, AN Khan, A Rizwan, R Ahmad, BW Kim, K Kim, DH Kim
IEEE Access 9, 96092-96113, 2021
302021
Enhanced time-constraint aware tasks scheduling mechanism based on predictive optimization for efficient load balancing in smart manufacturing
N Iqbal, AN Khan, A Rizwan, F Qayyum, S Malik, R Ahmad, DH Kim
Journal of Manufacturing Systems 64, 19-39, 2022
232022
An OCF-IoTivity enabled smart-home optimal indoor environment control system for energy and comfort optimization
AN Khan, A Rizwan, R Ahmad, DH Kim
Internet of Things 22, 100712, 2023
222023
Intelligent digital twin for federated learning in AIoT networks
A Rizwan, R Ahmad, AN Khan, R Xu, DH Kim
Internet of Things 22, 100698, 2023
172023
Decentralized machine learning training: a survey on synchronization, consolidation, and topologies
QW Khan, AN Khan, A Rizwan, R Ahmad, S Khan, DH Kim
IEEE Access 11, 68031-68050, 2023
172023
Cooperative swarm learning for distributed cyclic edge intelligent computing
R Xu, W Jin, AN Khan, S Lim, DH Kim
Internet of Things 22, 100783, 2023
152023
A precision-centric approach to overcoming data imbalance and non-IIDness in federated learning
AN Khan, A Rizwan, R Ahmad, QW Khan, S Lim, DH Kim
Internet of Things 23, 100890, 2023
142023
Optimal environment control mechanism based on OCF connectivity for efficient energy consumption in greenhouse
A Rizwan, AN Khan, R Ahmad, DH Kim
IEEE Internet of Things Journal 10 (6), 5035-5049, 2022
132022
AI-driven counter-terrorism: Enhancing global security through advanced predictive analytics
FA Khan, G Li, AN Khan, QW Khan, M Hadjouni, H Elmannai
IEEE Access 11, 135864-135879, 2023
122023
Toward effective pattern recognition based on enhanced weighted K-mean clustering algorithm for groundwater resource planning in point cloud
A Rizwan, N Iqbal, AN Khan, R Ahmad, DH Kim
IEEE Access 9, 130154-130169, 2021
122021
Boreholes data analysis architecture based on clustering and prediction models for enhancing underground safety verification
N Iqbal, A Rizwan, AN Khan, R Ahmad, BW Kim, K Kim, DH Kim
IEEE Access 9, 78428-78451, 2021
112021
A multi-perspective revisit to the optimization methods of neural architecture search and hyper-parameter optimization for non-federated and federated learning environments
S Khan, A Rizwan, AN Khan, M Ali, R Ahmed, DH Kim
Computers and Electrical Engineering 110, 108867, 2023
102023
A new method for determination of optimal borehole drilling location considering drilling cost minimization and sustainable groundwater management
AN Khan, BW Kim, A Rizwan, R Ahmad, N Iqbal, K Kim, DH Kim
ACS omega 8 (12), 10806-10821, 2023
82023
Optimizing energy efficiency and comfort in smart homes through predictive optimization: A case study with indoor environmental parameter consideration
QW Khan, R Ahmad, A Rizwan, AN Khan, KT Lee, DH Kim
Energy Reports 11, 5619-5637, 2024
72024
Collaborative worker safety prediction mechanism using federated learning assisted edge intelligence in outdoor construction environment
SJS Moe, BW Kim, AN Khan, X Rongxu, NA Tuan, K Kim, DH Kim
IEEE Access 11, 109010-109026, 2023
72023
A criticality-aware dynamic Task Scheduling mechanism for efficient resource load balancing in constrained Smart Manufacturing Environment
AN Khan, N Iqbal, A Rizwan, S Malik, R Ahmad, DH Kim
IEEE Access 10, 50933-50946, 2022
72022
Predictive modeling of water table depth, drilling duration, and soil layer classification using adaptive ensemble learning for cost-effective percussion water borehole drilling
QW Khan, BW Kim, R Ahmed, A Rizwan, AN Khan, K Kim, DH Kim
IEEE Access 11, 76703-76721, 2023
62023
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