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 | 66 | 2020 |
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 | 52 | 2021 |
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 | 38 | 2020 |
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 | 38 | 2019 |
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 | 30 | 2021 |
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 | 28 | 2020 |
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 | 12 | 2020 |
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 | 11 | 2020 |
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 | 8 | 2023 |
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 | 5 | 2024 |
Balanced weighted extreme learning machine for imbalance learning of credit default risk and manufacturing productivity WA Khan Annals of Operations Research, 1-29, 2023 | 4 | 2023 |
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 | 3 | 2023 |
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 | 3 | 2020 |
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 | 2 | 2024 |
Iron ore price forecast based on a multi-echelon tandem learning model W Pan, SQ Liu, M Kumral, A D’Ariano, M Masoud, WA Khan, A Bakather Natural Resources Research, 1-24, 2024 | 1 | 2024 |
Temporal-Spatial Fuzzy Deep Neural Network for the Grazing Behavior Recognition of Herded Sheep in Triaxial Accelerometer Cyber-Physical Systems S Hou, T Wang, D Qiao, DJ Xu, Y Wang, X Feng, WA Khan, J Ruan IEEE Transactions on Fuzzy Systems, 2024 | 1 | 2024 |
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 49 (5), 7611-7624, 2024 | 1 | 2024 |
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 | 1 | 2018 |
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 |