Model of Automatic Classification and Localization of Images by L. V. Serebryanaya, K. Y. Bochkarev, A. Y. Popitich

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Deep Learning for Medical Image Analysis Applications in Disease Detection and Diagnosis by Panchadhyayee Swagata, N Shirisha, S Sureshkumar, Priya S Harthy Ruby, Ramalingam Vanaja, M Mahima

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Navigating the landscape of AI literacy education: insights from a decade of research (2014–2024) by Yuqin Yang, Ying Zhang, Daner Sun, Wenmeng He, Yantao Wei

“…Third, nine prominent research themes have been identified, with data literacy, machine learning, AI literacy, the technology acceptance model, and computational thinking as focal points. …”
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The usage of a transformer based and artificial intelligence driven multidimensional feedback system in english writing instruction by Xiaofeng Zheng, Jian Zhang

“…Traditional systems, which depend on rule-based engines and shallow machine learning models, struggle to meet this demand. …”
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Case method textbook innovation for Autodesk inventor- assisted CAM learning by Elfahmi Dwi Kurniawan, Nopriyanti Nopriyanti, Rudi Hermawan, Patterson Nji Mbakwa, Abi Pratama, Rianto Rianto, Febriansyah Febriansyah, Putri Indah Yanti

“…The main obstacle is the high operational costs and learning facilities, especially in CAD/CAM learning related to CNC, where students experience difficulties in creating CNC programs due to the inability to visualize tool movements and limited physical access to CNC machines. …”
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A systematic literature review of digital elevation models and hydrological models integration for advanced flood risk management by Raheel Ahmad, Khairul Nizam Abdul Maulud, Umair Bin Zamir, Siti Fatin Mohd Razali, Zaher Mundher Yaseen, Biswajeet Pradhan, Mohd Nazish Khan, Bekzod Eshquvvatov

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AI-DRIVEN INNOVATIONS IN EMERGENCY AND DISASTER RESPONSE: STRATEGIES FOR EFFECTIVE PLANNING by Manu Sudhi, Aishwarya T.R, Dasharathraj K Shetty, Jayaraj Mymbilly Balakrishnan, Sultan Ahmad, Priya Pattath Sankaran

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Deep learning-based crop health enhancement through early disease prediction by Venkata Santhosh Yakkala, Krishna Vamsi Nusimala, Badisa Gayathri, Sriya Kanamarlapudi, S. S. Aravinth, Ayodeji Olalekan Salau, S. Srithar

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Strategic innovations and future directions in deep learning for engineering applications: a systematic literature review by Arianna G. Tobias, Javeed Kittur

“…BackgroundDeep learning (DL), a subset of machine learning and artificial intelligence (AI), is transforming engineering by addressing complex problems with innovative solutions. …”
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Federated learning for crop yield prediction: A comprehensive review of techniques and applications by Vani Hiremani, Raghavendra M. Devadas, Preethi, R. Sapna, T. Sowmya, Praveen Gujjar, N. Shobha Rani, K.R. Bhavya

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An Efficient and Automated Classification System for Rocks Based on Visually Explainable Deep Learning by Shan Lin, Quanke Hu, Hongwei Guo, Miao Dong, Kaiyang Zhao, Hong Zheng, Zhijun Liu

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Deep and Domain Specific Feature-Based Cervical Cancer Classification Using Support Vector Machine Optimized With Particle Swarm Optimization by Ritesh Maurya, Lucky Rajput, Satyajit Mahapatra

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Hybrid heterogeneous ensemble learning framework for flood susceptibility mapping in Balochistan, Pakistan by Muhammad Afaq Hussain, Zhanlong Chen, Biswajeet Pradhan, Sansar Raj Meena, Yulong Zhou

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Application of Artificial Neural Networks to Predict the Use of Mobile Learning by University Students by Alejandro Valencia-Arias, Julián Alberto Uribe-Gómez, Evelyn Flores-Siapo, Lucia Palacios-Moya, Ada Gallegos, Ezequiel Martínez Rojas

“…The objective of this study is to assess the intention of Peruvian tertiary education students to employ mobile devices for learning by creating a predictive model that relies on ANNs. …”
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Enhancing Neural Machine Translation Quality for Kannada–Tulu Language Pairs through Transformer Architecture: A Linguistic Feature Integration by Musica Supriya, U Dinesh Acharya, Ashalatha Nayak

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Rekayasa Perangkat Lunak Aplikasi Presensi Mobile Menggunakan Metode Deep Learning by Ragil Setiawan, Nurcahya Pradana Taufik Prakisya, Rosihan Ariyuana

“…Moreover, many-oriented applications of machine learning have moved to devices edge, and-based facial recognition is no exception mobile. …”
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism. by Meshari Alazmi, Nasir Ayub

“…Predicting student performance is crucial for providing personalized support and enhancing academic performance. Advanced machine-learning approaches are being used to understand student performance variables as educational data grows. …”
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Graph learning based suicidal ideation detection via tree-drawing test by Ye Liu, Jiashuo Zheng, Yang Zeng, Fang Luo, Xuetao Tian, Xuetao Tian

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A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories by Ahmed M. Abd El-Haleem, Mohab Mohammed Eid, Mahmoud M. Elmesalawy, Hadeer A. Hassan Hosny

“…A comparison study has been developed between different Machine Learning (ML) models and a number of performance metrics are calculated. …”
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AI-driven innovation and entrepreneurship education: a K-means clustering approach for Chinese university students by Hongshun Zhang

“…Implications By applying unsupervised machine learning, the study demonstrates how AI-driven analytics can enhance the personalization and effectiveness of IAE education. …”
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