المؤلفون: Ali, Mumtaz^{1, 1}, Khan, Nausad¹, Qidwai, Mohammad Owais², Akram, Wasim²

المصدر: 13(2):43-52

المؤلفون: Mugheera Ali Mumtaz, Atiq Ur Rehman, Muhammad Ayub, Fazal Muhammad, Muhammad Waleed Raza, Sheeraz Iqbal, Z. M. S. Elbarbary, Theyab R. Alsenani

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)

مصطلحات موضوعية: Renewable energy sources, Hybrid energy system, Diesel generator, Biogas, Photovoltaic, Net-present cost, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/f9554516ee9b49a9a60a1c999f70dbae

المؤلفون: Ali, Mumtaz, Nayahi, Jesu Vedha, Abdi, Erfan, Ghorbani, Mohammad Ali, Mohajeri, Farzan, Farooque, Aitazaz A., Alamery, Salman

مصطلحات موضوعية: Agriculture, Deep learning, ETo, Forecasting, RNN-LSTM, CN N-LSTM

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/adb3aaf5969e51660a9b41e3e0ea20f44ebbcee1646bd3a36ef61ef21f7d924a/12872534/Improving%20daily%20reference%20evapotranspiration%20forecasts.pdf; https://doi.org/10.1016/j.ecoinf.2025.102995; Ali, Mumtaz, Nayahi, Jesu Vedha, Abdi, Erfan, Ghorbani, Mohammad Ali, Mohajeri, Farzan, Farooque, Aitazaz A. and Alamery, Salman. 2025. "Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory ." Ecological Informatics. 85. https://doi.org/10.1016/j.ecoinf.2025.102995

الاتاحة: https://research.usq.edu.au/item/zqy65/improving-daily-reference-evapotranspiration-forecasts-designing-ai-enabled-recurrent-neural-networks-based-long-short-term-memory
https://research.usq.edu.au/download/adb3aaf5969e51660a9b41e3e0ea20f44ebbcee1646bd3a36ef61ef21f7d924a/12872534/Improving%20daily%20reference%20evapotranspiration%20forecasts.pdf
https://doi.org/10.1016/j.ecoinf.2025.102995

المؤلفون: Ali, Mumtaz, Samour, Ahmed, Joof, Foday, Tursoy, Turgut

المصدر: International Journal of Housing Markets and Analysis, 2022, Vol. 17, Issue 3, pp. 591-610.

URL الوصول: http://www.emeraldinsight.com/doi/10.1108/IJHMA-09-2022-0132

المؤلفون: Muhammad Ahsan Altaf, Yuanyuan Hao, Huangying Shu, Weiheng Jin, Chuhao Chen, Lin Li, Yu Zhang, Muhammad Ali Mumtaz, Huizhen Fu, Shanhan Cheng, Guopeng Zhu, Zhiwei Wang

المصدر: Horticultural Plant Journal, Vol 10, Iss 2, Pp 532-544 (2024)

مصطلحات موضوعية: Pepper, Melatonin, Cold stress, Antioxidant enzyme, Root trait, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2468014123000262; https://doaj.org/toc/2468-0141

URL الوصول: https://doaj.org/article/70f12a22d8ca4d11bd39e23832ca2877

المؤلفون: Fang, Uno, Li, Jianxin, Lu, Xuequan, Ali, Mumtaz, Gao, Longxiang, Xiang, Yong

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

URL الوصول: http://arxiv.org/abs/2101.06820

المؤلفون: Kaur, Avneet, Randhawa, Gurjit S., Abbas, Farhat, Ali, Mumtaz, Esau, Travis J., Farooque, Aitazaz A., Singh, Rajandeep

مصطلحات موضوعية: Artificial intelligence, deep learning, food security, machine learning, potato disease forecasting

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/409ed35f92cb1356dcc8a96dc21c06b205ccf64cad20e61b655474b4b3e3a185/3756166/Artificial_Intelligence_Driven_Smart_Farming_for_Accurate_Detection_of_Potato_Diseases_A_Systematic_Review.pdf; https://doi.org/10.1109/ACCESS.2024.3510456; Kaur, Avneet, Randhawa, Gurjit S., Abbas, Farhat, Ali, Mumtaz, Esau, Travis J., Farooque, Aitazaz A. and Singh, Rajandeep. 2024. "Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review." IEEE Access. 12, pp. 193902-193922. https://doi.org/10.1109/ACCESS.2024.3510456

الاتاحة: https://research.usq.edu.au/item/zqy60/artificial-intelligence-driven-smart-farming-for-accurate-detection-of-potato-diseases-a-systematic-review
https://research.usq.edu.au/download/409ed35f92cb1356dcc8a96dc21c06b205ccf64cad20e61b655474b4b3e3a185/3756166/Artificial_Intelligence_Driven_Smart_Farming_for_Accurate_Detection_of_Potato_Diseases_A_Systematic_Review.pdf
https://doi.org/10.1109/ACCESS.2024.3510456

المؤلفون: Briceno Medina, Leyde, Joehnk, Klaus, Deo, Ravinesh C., Ali, Mumtaz, Prasad, Salvin S., Downs, Nathan

مصطلحات موضوعية: water temperature, hybrid modeling, MVMD, deep learning, Menindee

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/947a4010f54eaf0dbe2f9c087501a5ebd8679cb16b884743de9b9e7f6661ccd8/4159037/water-16-03720.pdf; https://doi.org/10.3390/w16243720; Briceno Medina, Leyde, Joehnk, Klaus, Deo, Ravinesh C., Ali, Mumtaz, Prasad, Salvin S. and Downs, Nathan. 2024. "Forecasting River Water Temperature Using Explainable Artificial Intelligence and Hybrid Machine Learning: Case Studies in Menindee Region in Australia." Water. 16 (24). https://doi.org/10.3390/w16243720

الاتاحة: https://research.usq.edu.au/item/zqxqz/forecasting-river-water-temperature-using-explainable-artificial-intelligence-and-hybrid-machine-learning-case-studies-in-menindee-region-in-australia
https://doi.org/10.3390/w16243720

المؤلفون: Ali, Mumtaz, Prasad, Ramendra, Alamery, Salman, Farooque, Aitazaz Ahsan

مصطلحات موضوعية: Decomposition based models, Robust local mean decomposition, Random forest, RLMD-RF, Solar Radiation

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/218713eda4d1651694ef62851e7efbb31e1c770320dd559cca75b1f83faf2ebf/11284482/A%20designed%20predictive%20modelling%20strategy%20based%20on%20data%20decomposition%20and%20machine%20learning%20to%20forecast%20solar%20radiation.pdf; https://doi.org/10.1016/j.rineng.2024.103607; Ali, Mumtaz, Prasad, Ramendra, Alamery, Salman and Farooque, Aitazaz Ahsan. 2024. "A designed predictive modelling strategy based on data decomposition and machine learning to forecast solar radiation." Results in Engineering. 24. https://doi.org/10.1016/j.rineng.2024.103607

الاتاحة: https://research.usq.edu.au/item/zqv80/a-designed-predictive-modelling-strategy-based-on-data-decomposition-and-machine-learning-to-forecast-solar-radiation
https://research.usq.edu.au/download/218713eda4d1651694ef62851e7efbb31e1c770320dd559cca75b1f83faf2ebf/11284482/A%20designed%20predictive%20modelling%20strategy%20based%20on%20data%20decomposition%20and%20machine%20learning%20to%20forecast%20solar%20radiation.pdf
https://doi.org/10.1016/j.rineng.2024.103607

المؤلفون: Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi, Farooque, Aitazaz Ahsan, Yaseen, Zaher Mundher

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/ba032b1d9301a6992a1a54f9e4362ffe48aa6294517d853c0ff2b27bf9e36bbe/731365/s41598-024-69309-3.pdf; https://doi.org/10.1038/s41598-024-69309-3; Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi, Farooque, Aitazaz Ahsan and Yaseen, Zaher Mundher. 2024. "Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm." Scientific Reports. 14 (1). https://doi.org/10.1038/s41598-024-69309-3

الاتاحة: https://research.usq.edu.au/item/z99xv/multi-step-ahead-forecasting-of-electrical-conductivity-in-rivers-by-using-a-hybrid-convolutional-neural-network-long-short-term-memory-cnn-lstm-model-enhanced-by-boruta-xgboost-feature-selection

المؤلفون: Jamei, Mehdi, Hassan, Muhammad, Faroouqe, Aitazaz A., Ali, Mumtaz, Karbasi, Masoud, Randhawa, Gurjit S., Yaseen, Zaher Mundher, Dwyer, Ross

المصدر: Results in Engineering ; volume 24, page 103297 ; ISSN 2590-1230

الاتاحة: https://doi.org/10.1016/j.rineng.2024.103297
https://api.elsevier.com/content/article/PII:S2590123024015512?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S2590123024015512?httpAccept=text/plain

المؤلفون: Karbasi, Masoud, Ali, Mumtaz, Randhawa, Gurjit S., Jamei, Mehdi, Malik, Anurag, Shah, Syed Hamid Hussain, Bos, Melanie, Zaman, Qamar, Farooque, Aitazaz Ahsan

المساهمون: University of Prince Edward Island, Atlantic Canada Opportunities Agency, Natural Sciences and Engineering Research Council of Canada

المصدر: Smart Agricultural Technology ; volume 9, page 100619 ; ISSN 2772-3755

الاتاحة: https://doi.org/10.1016/j.atech.2024.100619
https://api.elsevier.com/content/article/PII:S2772375524002247?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S2772375524002247?httpAccept=text/plain

المؤلفون: Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi, Farooque, Aitazaz Ahsan, Yaseen, Zaher Mundher

المصدر: Scientific Reports ; volume 14, issue 1 ; ISSN 2045-2322

الاتاحة: https://doi.org/10.1038/s41598-024-69309-3
https://www.nature.com/articles/s41598-024-69309-3.pdf
https://www.nature.com/articles/s41598-024-69309-3

المؤلفون: Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi, Yaseen, Zaher Mundher

مصطلحات موضوعية: Pan Evaporation, Forecasting, Machine Learning, Deep Learning, Boruta Feature Selection

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/1ead5b98dc82ef74eec79c41a161f2765070c20145c28f7a6a6757dd334bb384/17502960/Boruta%20extra%20tree-bidirectional%20long%20short-term%20memory%20model%20development%20for%20Pan%20evaporation%20forecasting.pdf; https://doi.org/10.1016/j.aej.2023.11.061; Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi and Yaseen, Zaher Mundher. 2024. "Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition." Alexandria Engineering Journal. 86, pp. 425-442. https://doi.org/10.1016/j.aej.2023.11.061

الاتاحة: https://research.usq.edu.au/item/z36xv/boruta-extra-tree-bidirectional-long-short-term-memory-model-development-for-pan-evaporation-forecasting-investigation-of-arid-climate-condition
https://research.usq.edu.au/download/1ead5b98dc82ef74eec79c41a161f2765070c20145c28f7a6a6757dd334bb384/17502960/Boruta%20extra%20tree-bidirectional%20long%20short-term%20memory%20model%20development%20for%20Pan%20evaporation%20forecasting.pdf
https://doi.org/10.1016/j.aej.2023.11.061

المؤلفون: Chand, Ravinesh, Nguyen-Huy, Thong, Deo, Ravinesh C., Ghimire, Sujan, Ali, Mumtaz, Ghahramani, Afshin

مصطلحات موضوعية: flood characteristics, vine copulas, risk mitigation, joint distribution, flood monitoring, hourly flood index

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/f2e7de65df97f1387cbd3772f43f2191dbf611ef61201895d2bcf7d2bdb8b86e/4645375/Copula-Probabilistic%20Flood%20Risk%20Analysis%20with%20Hourly%20Flood%20Monitoring%20Index_proofread_completed.pdf; https://doi.org/10.3390/w16111560; Chand, Ravinesh, Nguyen-Huy, Thong, Deo, Ravinesh C., Ghimire, Sujan, Ali, Mumtaz and Ghahramani, Afshin. 2024. "Copula-Probabilistic Flood Risk Analysis with an Hourly Flood Monitoring Index." Water. 16 (11). https://doi.org/10.3390/w16111560

الاتاحة: https://research.usq.edu.au/item/z7640/copula-probabilistic-flood-risk-analysis-with-an-hourly-flood-monitoring-index
https://doi.org/10.3390/w16111560

المؤلفون: Lee, Kang Hoon, Farheen, Rabeea, Arshad, Zafar, Ali, Mumtaz, Hassan, Hamza, Alshareef, Mubark, A.Dahshan, Khalid, Usama

المساهمون: King Khalid University

المصدر: RSC Advances ; volume 14, issue 22, page 15391-15407 ; ISSN 2046-2069

الاتاحة: http://dx.doi.org/10.1039/d4ra01544d
http://pubs.rsc.org/en/content/articlepdf/2024/RA/D4RA01544D

المؤلفون: Lee, Kang Hoon, Farheen, Rabeea, Arshad, Zafar, Ali, Mumtaz, Hassan, Hamza, Alshareef, Mubark, Dahshan, A., Khalid, Usama

المساهمون: King Khalid University

المصدر: RSC Advances ; volume 14, issue 25, page 17627-17627 ; ISSN 2046-2069

الاتاحة: http://dx.doi.org/10.1039/d4ra90063d
http://pubs.rsc.org/en/content/articlepdf/2024/RA/D4RA90063D

المؤلفون: Latif, Zeeshan, Shahid, Kinza, Anwer, Hassan, Shahid, Raghisa, Ali, Mumtaz, Lee, Kang Hoon, Alshareef, Mubark

المساهمون: Higher Education Commision, Pakistan

المصدر: Nanoscale ; volume 16, issue 8, page 4333-4333 ; ISSN 2040-3364 2040-3372

الاتاحة: http://dx.doi.org/10.1039/d4nr90036g
http://pubs.rsc.org/en/content/articlepdf/2024/NR/D4NR90036G

المؤلفون: Latif, Zeeshan, Albargi, Hasan B., Khaliq, Zubair, Shahid, Kinza, Khalid, Usama, Qadir, Muhammad Bilal, Ali, Mumtaz, Arshad, Salman Noshear, Alkorbi, Ali S., Jalalah, Mohammed

المساهمون: Najran University, Pakistan Science Foundation, Higher Education Commision, Pakistan

المصدر: Nanoscale Advances ; volume 6, issue 6, page 1750-1764 ; ISSN 2516-0230

الاتاحة: http://dx.doi.org/10.1039/d3na01143g
http://pubs.rsc.org/en/content/articlepdf/2024/NA/D3NA01143G

المؤلفون: Ismail, Muhammad, Ahmad, Rashid, Halim, Sobia Ahsan, Khan, Adnan Ali, Ullah, Saeed, Latif, Abdul, Ahmad, Manzoor, Khan, Ajmal, Ozdemir, Fethi Ahmet, Khalid, Asaad, Al-Harrasi, Ahmed, Ali, Mumtaz

المساهمون: Ministry of Education – Kingdom of Saudi Arabi

المصدر: RSC Advances ; volume 14, issue 16, page 10978-10994 ; ISSN 2046-2069

الاتاحة: http://dx.doi.org/10.1039/d4ra00045e
http://pubs.rsc.org/en/content/articlepdf/2024/RA/D4RA00045E