Investigating performance and variability of NIF ICF experiments with deep learning by M. Pokornik, S.F. Khan, J.A. Gaffney, B. MacGowan, A. Maris, K. Humbird, S. Haan

“…In a follow-up shot to N210808, our model predicts capsule quality to be the main performance degradation mechanism that prevented the shot from repeating previous performance levels. …”
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Higher performance enhancement of direct torque control by using Space Vector Modulation for doubly fed induction machine by Gouaamar Radouan, El Fadl Adiba, Bri Seddik, Mekrini Zineb

“…This research work aims at current literature review and extensive performance improvement in Direct Torque Control using Space Vector Modulation (DTC-SVM) by considering Doubly Fed Induction Machines. …”
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Synergistic effects of titanium dioxide and graphene nanofillers on delamination and thrust forces in machining glass fiber reinforced nanocomposites by Machabhaktuni Sri Harsha, Vennelakanti Sai Hemanth Kumar, Mandapati Bhavani Prasad, Chandrasekar Muthukumar, Senthil Muthu Kumar Thiagamani, Nadir Ayrilmis, Senthilkumar Krishnasamy, Lin Feng Ng, Naveen Jesuarockiam

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Artificial intelligence driven platform for rapid catalytic performance assessment of nanozymes by Wenjie Xuan, Xiaofo Li, Honglei Gao, Luyao Zhang, Jili Hu, Liping Sun, Hongxing Kan

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BASED ON MATLAB AND EXCEL PROGRAMMING AND DEVELOPMENT THE NEW METHOD OF HEADING MACHINE CUTTING HEAD by ZHAO LiJuan, BAO WenJie, MA Qiang, ZHAO MingYang, LIU XuNan

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Use of machine learning techniques in predicting inflow in Tarbela reservoir of Upper Indus Basin by SHABIR JAN, UZAIR KHAN, ALAMGIR KHALIL, AMJAD ALI KHAN, HABIB AHMAD JAN, IBAD ULLAH

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Machine Learning in the Teaching Quality of University Teachers: Systematic Review of the Literature 2014–2024 by Walter Zambrano-Romero, Ciro Rodriguez, Josselyn Pita-Valencia, Walter José Zambrano-Romero, José Manuel Moran-Tubay

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Application of numerical analysis and machine learning techniques to improve drying performance and energy consumption of microwave-assisted convective dryer by Hany S. El-Mesery, Ahmed H. ElMesiry, Mohammad Kaveh, Zicheng Hu, Abdallah Elshawadfy Elwakeel, Sara Elhadad

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Machine Learning Performance Analysis for Bagging System Improvement: Key Factors, Model Optimization, and Loss Reduction in the Fertilizer Industry by Ari Primantara, Udisubakti Ciptomulyono, Berlian Al Kindhi

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Utilizing UAV and orthophoto data with bathymetric LiDAR in google earth engine for coastal cliff degradation assessment by Paweł Tysiąc, Rafał Ossowski, Łukasz Janowski, Damian Moskalewicz

“…Next, by applying Random Forest classifier within Google Earth Engine, we evaluated the importance of features in detecting these degraded zones. …”
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Exploring New Nitrogen-Rich Compounds: Hybrid First-Principle Calculations and Machine-Learning Algorithms by Hang Zhou, Jie Wu, Jiangtao Yang, Qingyang Fan

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Exploring Virtual Machine Scheduling Algorithms: A Meta-Analysis by Salman Mahmood, Nor Adnan Yahaya

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Performance Analysis of Carbon Fiber Reinforced Epoxy Composites in Particle‐Assisted EDM by Abhijit Bhowmik, Raman Kumar, Ramdevsinh Jhala, Nagaraj Patil, Abinash Mahapatro, Manoj Kumar Ojha, Parveen Kumar, Deepak Gupta, A. Johnson Santhosh

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A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware by Fandi Kurniawan, Deris Stiawan, Darius Antoni, Mohd Yazid Idris, Rahmat Budiarto

“…Six machine learning algorithms Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbors (KNN), Naive Bayes, AdaBoost, and Gradient Boosting are used to identify malicious behavior in APK files. …”
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Acquiring and transferring comprehensive catalyst knowledge through integrated high-throughput experimentation and automatic feature engineering by Aya Fujiwara, Sunao Nakanowatari, Yohei Cho, Toshiaki Taniike

“…This framework advances the understanding of catalyst design and promotes reliable machine learning.…”
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EFFECT OF CUTTING KNIVES SPEED AND FEEDING SPEED ON SOME TECHNICAL INDICATORS FOR THE PERFORMANCE OF A LOCALLY MANUFACTURED MACHINE by S. A. Rawdhan, W. K. El Helew, M. A. Mayhoub, M. M. Moustafa

“…  The experiment was carried out to study some engineering factors for a locally manufactured machine, It cuts agricultural residues to make animal feed , in the workshops of the Agricultural Engineering Department/Faculty of Agriculture/Ain Shams University for the academic year 2021-2022. …”
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Advancing Knowledge on Machine Learning Algorithms for Predicting Childhood Vaccination Defaulters in Ghana: A Comparative Performance Analysis by Eliezer Ofori Odei-Lartey, Stephaney Gyaase, Dominic Asamoah, Thomas Gyan, Kwaku Poku Asante, Michael Asante

“…The findings demonstrate that robust machine learning frameworks, combined with temporal and contextual feature engineering, can improve defaulter risk prediction accuracy. …”
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Machine Learning Modeling of Foam Concrete Performance: Predicting Mechanical Strength and Thermal Conductivity from Material Compositions by Leifa Li, Wangwen Sun, Askar Ayti, Wangping Chen, Zhuangzhuang Liu, Lauren Y. Gómez-Zamorano

“…The statistical approach combined with machine learning modeling was employed to systematically analyze and predict key performance indicators. …”
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Integrating high-performance computing, machine learning, data management workflows, and infrastructures for multiscale simulations and nanomaterials technologies by Fabio Le Piane, Mario Vozza, Matteo Baldoni, Francesco Mercuri

“…This perspective article explores the convergence of advanced digital technologies, including high-performance computing (HPC), artificial intelligence, machine learning, and sophisticated data management workflows. …”
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Comparative performance evaluation of quartz and snail shell powders modified concrete: Mechanical, machine learning, and microstructural assessments by Md. Habibur Rahman Sobuz, Md. Kanan Chowdhury Tilak, SM Arifur Rahman, Fahim Shahriyar Aditto, Faiz Uddin Ahmed Shaikh, Md. Kawsarul Islam Kabbo, M Jameel, Md. Munir Hayet Khan

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