K
Khaled Mohamed Khedher
Publications - 7
Citations - 75
Khaled Mohamed Khedher is an academic researcher. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 2, co-authored 7 publications receiving 75 citations.
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Journal ArticleDOI
Groundwater level prediction using machine learning models: A comprehensive review
Haiyang Wang Tao,Mohammed Majeed Hameed,Haydar Abdulameer Marhoon,Mohammad Zounemat-Kermani,Heddam Salim,Kim Sungwon,Sadeq Oleiwi Sulaiman,Mou Leong Tan,Zulfaqar Sa’adi,Ali Danandeh Mehr,Mohammed Falah Allawi,Sani Isah Abba,Jasni Mohamad Zain,Mayadah W. Falah,Mehdi Jamei,Neeraj Dhanraj Bokde,M. Bayatvarkeshi,Mustafa Al-Mukhtar,Suraj Kumar Bhagat,Tiyasha Tiyasha,Khaled Mohamed Khedher,Nadhir Al-Ansari,Shamsuddin Shahid,Zaher Mundher Yaseen +23 more
TL;DR: In this article , the authors provide a clear understanding of the state-of-the-art ML models implemented for GWL modeling and the milestones achieved in this domain, as well as recommendations for possible future research directions to improve the accuracy of GWL prediction models and enhance the related knowledge.
Journal ArticleDOI
Rock Strength Estimation Using Several Tree-Based ML Techniques
Zida Liu,Danial Jahed Armaghani,Pouyan Fakharian,Diyuan Li,Dmitrii Vladimirovich Ulrikh,Natalia Nikolaevna Orekhova,Khaled Mohamed Khedher +6 more
TL;DR: In this paper , the authors presented powerful boosting trees evaluation framework, i.e., adaptive boosting machine, extreme gradient boosting machine (XGBoost), and category gradient boosting machines, for estimating the uniaxial compressive strength (UCS) of sandstone.
Enhancing assessment of corn growth performance under various experimental management practices using Unmanned Aerial Vehicles (UAVs) and deep learning
Juan Xiao,Stanley Anak Suab,Chen Xinyu,Chander Kumar Singh,Dharmendra Singh,Ashwani Kumar Aggarwal,Alexius Korom,Wirastuti Widyatmanti,Tanjinul Hoque Mollah,Huynh Vuong Thu Minh,Khaled Mohamed Khedher,Ram Avtar +11 more
Journal ArticleDOI
Comparison of different approaches for numerical modeling of nanofluid subcooled flow boiling and proposing predictive models using artificial neural network
TL;DR: In this paper , the Eulerian approach simulated the contraction of the base fluid and vapor, and the interaction between base fluids and nanoparticles was simulated by Euler-Lagrange approach; the two Euler Euler and Euler Lagrange methods were solved together.
Journal ArticleDOI
Postfire Residual Strength and Morphology of Concrete Incorporating Natural Rubber Latex Exposed to Elevated Temperatures
Paul O. Awoyera,Hadee Mohammed Najm,Moutaz M. Eldirderi,Khaled Mohamed Khedher,Husam Al Dughaishi,Jawad Al Lawati,Abdalrhman Milad +6 more
TL;DR: In this article , the postfire residual strength and morphology of concrete incorporating natural rubber latex exposed to elevated temperature was investigated, and the compressive strength and split-tensile strength of concrete cubes and cylinders were determined.