Mohammad T. Khasawneh - researchr alias

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Viewing Publication 1 - 34 from 34

2025

Reinforcement learning-based simulation optimization for an integrated manufacturing-warehouse system: a two-stage approachMaryam Sadat Hosseini, Sreenath Chalil Madathil, Mohammad T. Khasawneh. eswa, 290:128259, 2025. [doi]

GPT-4o in radiology: In-context learning based automatic generation of radiology impressionsMohammed Mahyoub, Yong Wang 0040, Mohammad T. Khasawneh. nlpj, 11:100145, 2025. [doi]

Real-time object segmentation for laparoscopic cholecystectomy using YOLOv8Amr Tashtoush, Yong Wang 0040, Mohammad T. Khasawneh, Asma Hader, Mohammed Salman Shazeeb, Clifford Grant Lindsay. nca, 37(4):2697-2710, February 2025. [doi]

Integrating machine learning models and explainable AI to predict DTaP vaccine demand in rural primary careOsamah Yaeesh, Shoog Nimri, Yong Wang 0040, Shaw-Ree Chen, Karen Kinter, Danielle Renodin-Mead, Mohammad T. Khasawneh. nca, 37(24):19597-19616, August 2025. [doi]

2024

Using IoT and AI to replenish household food supplies: A systematic reviewKhaled Mosaed Almassar, Mohammad T. Khasawneh. joscas, 3(1):23-62, 2024. [doi]

Guest editorial: Value chain collaboration for complicated product innovation and manufacturing excellence by industrial data-driven modeling and optimizationRunliang Dou, Kuo-Yi Lin, Chia-Yu Hsu, Mohammad T. Khasawneh. imds, 124(11):2989-2991, 2024. [doi]

Corrigendum to "S3LR: Novel feature selection approach for microarray-based breast cancer recurrence prediction" [Expert Syst. Appl. 241 (2024) 122457]Asala N. Erekat, Mohammad T. Khasawneh. eswa, 249:123639, 2024. [doi]

S3LR: Novel feature selection approach for Microarray-Based breast cancer recurrence predictionAsala N. Erekat, Mohammad T. Khasawneh. eswa, 241:122457, 2024. [doi]

Multiclass classification of Alzheimer's disease prodromal stages using sequential feature embeddings and regularized multikernel support vector machineOyekanmi O. Olatunde, Kehinde S. Oyetunde, Jihun Han, Mohammad T. Khasawneh, Hyunsoo Yoon. neuroimage, 304:120929, 2024. [doi]

2023

Cost-sensitive max-margin feature selection for SVM using alternated sorting method genetic algorithmKhalid Y. Aram, Sarah S. Lam, Mohammad T. Khasawneh. kbs, 267:110421, 2023. [doi]

A new approach to probabilistic classification based on Gaussian process and support vector machineTanvir Ibna Kaisar, Kais Zaman, Mohammad T. Khasawneh. candie, 186:109719, December 2023. [doi]

2022

Integration of aggressive bound tightening and Mixed Integer Programming for Cost-sensitive feature selection in medical diagnosisMai Abdulla, Mohammad T. Khasawneh. eswa, 187:115902, 2022. [doi]

Linear Cost-sensitive Max-margin Embedded Feature Selection for SVMKhalid Y. Aram, Sarah S. Lam, Mohammad T. Khasawneh. eswa, 197:116683, 2022. [doi]

What's So Hard About (Mixed-Size) Placement?Mohammad T. Khasawneh, Patrick H. Madden. ispd 2022: 57-64 [doi]

Multi-label text mining to identify reasons for appointments to drive population health analytics at a primary care settingLaith Abu Lekham, Yong Wang 0040, Ellen Hey, Mohammad T. Khasawneh. nca, 34(17):14971-15005, 2022. [doi]

Multi-criteria text mining model for COVID-19 testing reasons and symptoms and temporal predictive model for COVID-19 test results in rural communitiesLaith Abu Lekham, Yong Wang 0040, Ellen Hey, Mohammad T. Khasawneh. nca, 34(10):7523-7536, 2022. [doi]

Possibility Extent and Possible Alternatives Preorder Type-2 Fuzzy Analytical Hierarchy Process (PE&PAP-AHP) to improve pharmaceutical R&D productivityAbbas Safaei, Mohammad T. Khasawneh. asc, 131:109770, 2022. [doi]

2021

Multi-objective unequal area pod-structured healthcare facility layout problem with daylight requirementsFarouq Halawa, Sreenath Chalil Madathil, Mohammad T. Khasawneh. candie, 162:107722, 2021. [doi]

Integrated framework of process mining and simulation-optimization for pod structured clinical layout designFarouq Halawa, Sreenath Chalil Madathil, Mohammad T. Khasawneh. eswa, 185:115696, 2021. [doi]

Neural network-based multi-task learning for inpatient flow classification and length of stay predictionLu He, Sreenath Chalil Madathil, Greg Servis, Mohammad T. Khasawneh. asc, 108:107483, 2021. [doi]

2020

2019

2017

A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligenceMohammed Aladeemy, Salih Tutun, Mohammad T. Khasawneh. eswa, 88:118-131, 2017. [doi]

New framework that uses patterns and relations to understand terrorist behaviorsSalih Tutun, Mohammad T. Khasawneh, Jun Zhuang. eswa, 78:358-375, 2017. [doi]

2015

Predictive modeling of hospital readmissions using metaheuristics and data miningBichen Zheng, Jinghe Zhang, Sang-Won Yoon, Sarah S. Lam, Mohammad T. Khasawneh, Srikanth Poranki. eswa, 42(20):7110-7120, 2015. [doi]

2014

A simulation study of outpatient scheduling with multiple providers and a single deviceXiao-Dan Wu, Mohammad T. Khasawneh, Dian-Min Yue, Ya-Nan Chu, Zhan-Ting Gao. ijcisys, 7(sup2):15-25, 2014. [doi]

2013

Ergonomic Assessment of Patient Barrow Lifting Technique Using Digital Human ModelingWen Cao, Meng Jiang, Ying Han, Mohammad T. Khasawneh. hci 2013: 20-29 [doi]

2007

Advanced Technology Training for Operating the Microlithography Panel PrinterBharat Upadrasta, Mohammad T. Khasawneh, Sarah S. Lam. hci 2007: 998-1007 [doi]

2004

A Markovian approach to determining optimum process target levels for a multi-stage serial production systemShannon R. Bowling, Mohammad T. Khasawneh, Sittichai Kaewkuekool, Byung Rae Cho. eor, 159(3):636-650, 2004. [doi]

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2004

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