2.5D Facial Personality Prediction Based on Deep Learning by Jia Xu, Weijian Tian, Guoyun Lv, Shiya Liu, Yangyu Fan

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Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques by Hanaa Attou, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yousef Farhaoui

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Deep learning method for finding eigenpairs in Sturm-Liouville eigenvalue problems by Sen Zhang, Jian Zu, Jingqi Zhang

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Federated learning based reference evapotranspiration estimation for distributed crop fields. by Muhammad Tausif, Muhammad Waseem Iqbal, Rab Nawaz Bashir, Bayan AlGhofaily, Alex Elyassih, Amjad Rehman Khan

“…Efforts have been made to simplify the (ETo) estimation using machine learning models. The existing approaches are limited to a single specific area. …”
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New Practices оf Engineering Education in Conditions of Distance Learning by T. A. Olkhovaya, E. V. Poyarkova

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Explainable machine learning for modeling of net ecosystem exchange in boreal forests by E. Ezhova, T. Laanti, A. Lintunen, P. Kolari, T. Nieminen, I. Mammarella, K. Heljanko, K. Heljanko, M. Kulmala

“…<p>There is a growing interest in applying machine learning methods to predict net ecosystem exchange (NEE) based on site information and climatic variables. …”
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DETECTION OF KERATOCONUS DISEASE DEPENDING ON CORNEAL TOPOGRAPHY USING DEEP LEARNING by Aseel Abdulhasan Hashim, Mahdi Mazinani

“…The proposed system works on three stages: pre-processing, feature extraction, and classification with machine learning algorithms including NB, KNN, ADA, DT, and CNN deep learning. …”
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Applicability Analysis of Machine Learning Model in Hydrological Forecasting in Karst Areas by ZHAO Zejin, SUN Wei, ZHOU Bin, ZHANG Xuan, WANG Gaoxu, WU Wei, LI Wenjie, YAO Ye

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Leveraging Deep Learning for Real-Time Coffee Leaf Disease Identification by Opeyemi Adelaja, Bernardi Pranggono

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Application of ensemble learning techniques to model the atmospheric concentration of SO2 by A. Masih

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An Evolutionary Federated Learning Approach to Diagnose Alzheimer’s Disease Under Uncertainty by Nanziba Basnin, Tanjim Mahmud, Raihan Ul Islam, Karl Andersson

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Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning by Shahriar Kaisar, Md Mamunur Rashid, Abdullahi Chowdhury, Sakib Shahriar Shafin, Joarder Kamruzzaman, Abebe Diro

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Deep learning for object recognition: A comprehensive review of models and algorithms by Paschalis Tsirtsakis, Georgios Zacharis, George S. Maraslidis, George F. Fragulis

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A Comprehensive Survey of Machine Learning Techniques and Models for Object Detection by Maria Trigka, Elias Dritsas

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Using Inquiry-Based Strategies for Enhancing Students’ STEM Education Learning by Ching-San Lai

“…The findings of this study includes: (1) students were highly satisfied on the STEM education learning program used in this study; (2) students’ learning feedback also showed that they approved inquiry-based learning; and (3) instructors’ teaching feedback showed that they preferred inquiry-based instruction as a teaching method. …”
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Federated learning and information sharing between competitors with different training effectiveness by Jiajun Meng, Jing Chen, Dongfang Zhao

Subjects: “…Federated Learning…”
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Development of Serious Games as A Programming Learning Platform for Informatics Students by Noven Indra Prasetya, Shofiya Syidada, Lestari Retnawati

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Drug Efficacy Recommendation System of Glioblastoma (GBM) Using Deep Learning by Sajid Naveed, Mujtaba Husnain, Ali Samad, Amna Ikram, Hina Afreen, Ghulam Gilanie, Najah Alsubaie

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MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank by Fan Cheng, Wei Guo, Xingyi Zhang

“…Learning to rank has attracted increasing interest in the past decade, due to its wide applications in the areas like document retrieval and collaborative filtering. …”
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An exploration of machine learning approaches for early Autism Spectrum Disorder detection by Nawshin Haque, Tania Islam, Md Erfan

“…These results underscore the potential of machine learning in aiding the early detection of ASD in children and toddlers, offering promising avenues for future research and clinical applications.…”
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