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Waqar Ahmed Khan
Waqar Ahmed Khan
University of Sharjah, The Hong Kong Polytechnic University
Verified email at connect.polyu.hk
Title
Cited by
Cited by
Year
Machine learning facilitated business intelligence (Part I): Neural networks learning algorithms and applications
WA Khan, SH Chung, MU Awan, X Wen
Industrial Management & Data Systems 120 (1), 164-195, 2020
622020
Hierarchical integrated machine learning model for predicting flight departure delays and duration in series
WA Khan, HL Ma, SH Chung, X Wen
Transportation Research Part C: Emerging Technologies 129, 103225, 2021
422021
Robust airline crew scheduling with flight flying time variability
X Wen, HL Ma, SH Chung, WA Khan
Transportation Research Part E: Logistics and Transportation Review 144, 102132, 2020
362020
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
WA Khan, SH Chung, HL Ma, SQ Liu, CY Chan
Transportation Research Part E: Logistics and Transportation Review 132, 72-96, 2019
342019
Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines
WA Khan, HL Ma, X Ouyang, DY Mo
Transportation Research Part E: Logistics and Transportation Review 145, 102189, 2021
302021
Machine learning facilitated business intelligence (Part II): Neural networks optimization techniques and applications
WA Khan, SH Chung, MU Awan, X Wen
Industrial Management & Data Systems 120 (1), 128-163, 2020
262020
Cascade neural network algorithm with analytical connection weights determination for modelling operations and energy applications
WA Khan, Z Wang, HL Ma, X Wen
International Journal of Production Research 58 (23), 7094-7111, 2020
122020
A scenario-based stochastic programming approach for aircraft expendable and rotable spare parts planning in MRO provider
Y Qin, HL Ma, FTS Chan, WA Khan
Industrial Management & Data Systems 120 (9), 1635-1657, 2020
102020
Airline crew scheduling with sustainability enhancement by data analytics under circular economy
X Wen, SH Chung, HL Ma, WA Khan
Annals of Operations Research, 1-27, 2023
62023
A novel parallel series data-driven model for IATA-coded flight delays prediction and features analysis
WA Khan, SH Chung, AEE Eltoukhy, F Khurshid
Journal of Air Transport Management 114, 102488, 2024
32024
Balanced weighted extreme learning machine for imbalance learning of credit default risk and manufacturing productivity
WA Khan
Annals of Operations Research, 1-29, 2023
32023
Controlling air traffic congestion by predicting flight departure delays and duration: Integrating machine learning sampling techniques and deep learning approaches
WA Khan, SH Chung, HL Ma
Informs Transportation Science and Logistics Second Triennial Conference, 1-5, 2020
32020
Optimizing Supply Chain Profit by Categorizing Non-reworkable Defective Items
M Ullah, I Khan, AI Malik, WA Khan, H Saleh
Arabian Journal for Science and Engineering, 1-14, 2023
12023
ALADA: A lite automatic data augmentation framework for industrial defect detection
Y Wang, SH Chung, WA Khan, T Wang, DJ Xu
Advanced Engineering Informatics 58, 102205, 2023
12023
Cascade Principal Component Least Squares Neural Network Learning Algorithm
WA Khan, SH Chung, CY Chan
IEEE 24th International Conference on Automation and Computing (ICAC), 1-6, 2018
12018
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time
WA Khan, M Masoud, AEE Eltoukhy, M Ullah
Journal of Intelligent Manufacturing, 1-27, 2024
2024
Financial Market Forecasting using RNN, LSTM, BiLSTM, GRU and Transformer-Based Deep Learning Algorithms
TO Kehinde, WA Khan, SH Chung
IEOM International Conference on Smart Mobility and Vehicle Electrification, 2023
2023
Estimation of aircraft trip fuel consumption: a novel self-organizing machine learning constructive neural network
WA Khan
Hong Kong Polytechnic University, 2020
2020
Improving the convergence and extracting useful information from high dimensional big data with neural networks
WA Khan, SH Chung, MU Awan, X Wen
2019
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Articles 1–19