Knowledge Management in Road Accident Detection Based on Developed Deep Learning by Bvss Subbarao, Ramana K

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Federated learning based intelligent edge computing technique for video surveillance by Yu ZHAO, Jie YANG, Miao LIU, Jinlong SUN, Guan GUI

Subjects: “…federated learning…”
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THE EFFECTIVENESS OF LIFE SKILLS COUNSELLING IN IMPROVING STUDENTS’ SELF-REGULATED LEARNING by Moh Mahfudz Faqih

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Estimation of International Gold Price by Fusing Deep/Shallow Machine Learning by Wenjing Chen

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ECG-based transfer learning for cardiovascular disease: A scoping review by Sharifah Noor Masidayu Sayed Ismail, Siti Fatimah Abdul Razak, Nor Azlina Ab Aziz

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A Critical Review of the Handbook of Technology and Second Language Teaching and Learning by Ali Malmir, Ali Derakhshan

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Deep learning-based prediction of multi-level just noticeable distortion by Haifeng XU, Hongkui WANG, Haibing YIN, Chuqiao CHEN

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Towards understanding the character of quality sampling in deep learning face recognition by Iurii Medvedev, João Tremoço, Beatriz Mano, Luís Espírito Santo, Nuno Gonçalves

“…It widely utilises deep learning computer vision tools and adopts large collections of unconstrained face images of celebrities for training. …”
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Semi-supervised learning by constructing query-document heterogeneous information network by Yu-feng LIU, Ren-fa LI

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Enhanced Brain Tumor Classification through Gamma Correction in Deep Learning by Muhammad Naufal, Harun Al Azies, Rivaldo Mersis Brilianto

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Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis by Paul Wighton, Tim K. Lee, Greg Mori, Harvey Lui, David I. McLean, M. Stella Atkins

“…Furthermore, we demonstrate how supervised learning and an appropriate training set can be used to automatically determine all model parameters. …”
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Explaining the Factors Related to the Improvement of Organizational Capabilities with an Organizational Learning Approach by Parisa Saadati, Mahmoud Ghorbani, Saeid khayatmoghadam

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Intelligent Forecasting of Air Quality and Pollution Prediction Using Machine Learning by D. Kothandaraman, N. Praveena, K. Varadarajkumar, B. Madhav Rao, Dharmesh Dhabliya, Shivaprasad Satla, Worku Abera

“…In this scenario, the authors proposed various machine learning models such as linear regression, random forest, KNN, ridge and lasso, XGBoost, and AdaBoost models to predict PM2.5 pollutants in polluted cities. …”
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The Westward Spread of Eastern Learning: Jung’s Integration and Adaptation of Religious Daoism by Ming Chen

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Learning and working on an interprofessional training ward in neonatology improves interprofessional competencies by Hannah L. Schwarz, Christine Straub, Sebastian F. N. Bode, Nicole Ferschl, Christian Brickmann, Christian Brickmann, Pascal O. Berberat, Marcus Krüger

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An overview of the CSI feedback based on deep learning for massive MIMO systems by Muhan CHEN, Jiajia GUO, Xiao LI, Shi JIN

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Optimizing Spectrum Trading in Cognitive Mesh Network Using Machine Learning by Ayoub Alsarhan, Anjali Agarwal

“…These complex contradicting objectives are embedded in our reinforcement learning (RL) model that is developed and implemented as shown in this paper. …”
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A Study of English Informative Teaching Strategies Based on Deep Learning by Yaojun Guo

“…In this paper, we study and design a deep learning-based English informatics teaching system to develop a deep learning-based scoring prediction model. …”
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Χαρτοφυλάκιον/Scrinium: An integrating activity for monitoring and assessing the learning of classical languages by Sofía Villegas-Rodríguez, Ronald Forero-Álvarez, Fernando Alexander Calderón-Velasco

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Machine learning for predicting Chagas disease infection in rural areas of Brazil. by Fabio De Rose Ghilardi, Gabriel Silva, Thallyta Maria Vieira, Ariela Mota, Ana Luiza Bierrenbach, Renata Fiuza Damasceno, Lea Campos de Oliveira, Alexandre Dias Porto Chiavegatto Filho, Ester Sabino

“…In recent years, machine learning algorithms have emerged as powerful tools for disease prediction and diagnosis.…”
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