An Improved Deep Learning Network Structure for Multitask Text Implication Translation Character Recognition by Xiaoli Ma, Hongyan Xu, Xiaoqian Zhang, Haoyong Wang

“…Especially after the application of deep learning technology, the performance of multitask translation text detection and recognition has been greatly improved. …”
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Dynamic Impact-Based Heavy Rainfall Warning with Multi-classification Machine Learning Approaches by Anand Shankar

Subjects: “…impact-based heavy rainfall warning, multi-classification machine learning, impacts of floods, flood assessment, cascading impact…”
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Scalable and Privacy-Preserving Inter-AS Routing Through Machine-Learning-Based Graph Pruning by Davide Andreoletti, Cristina Rottondi, Silvia Giordano, Andrea Bianco

“…To perform inter-domain routing, each controller must learn how to reach any other node outside its domain. …”
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Systematic Literature Review of Machine Learning Models for Detecting DDoS Attacks in IoT Networks by Marcos Luengo Viñuela, Jesús-Ángel Román Gallego

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Improving the Fharmacology Teaching-Learning Process in the Formation of Medicine Doctors: Conceptions, Challenges and Perspectives by Pedro Miguel Milián Vázquez, María Magdalena López Rodríguez del Rey

“…This article analyzes conceptions, challenges and perspectives of the teaching-learning process of this discipline in Cuba. The author supports the statement of an integral conception of the teaching-learning process, highlighting the sequence of pharmacological teaching tasks throughout the students’ curricula, looking for the interdisciplinary relationship in the different contents in the curriculum of the medicine doctor. …”
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DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction by Yihui Ren, Yu Wang, Wenkai Han, Yikang Huang, Xiaoyang Hou, Chunming Zhang, Dongbo Bu, Xin Gao, Shiwei Sun

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Higher education in 21st century: An analysis of ICT integration for teaching and learning in Pakistan by Nisar Ahmad, Arif Alam, Ikram Shah

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The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children by Jun-Wei Chen, Hsin-An Chen, Tzu-Chi Liu, Tzu-En Wu, Chi-Jie Lu

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DeepGame-TP: Integrating Dynamic Game Theory and Deep Learning for Trajectory Planning by Giovanni Lucente, Mikkel Skov Maarssoe, Sanath Himasekhar Konthala, Anas Abulehia, Reza Dariani, Julian Schindler

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Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma. by Md Al Mehedi Hasan, Md Maniruzzaman, Jie Huang, Jungpil Shin

“…To solve these problems, we have taken datasets from multiple platforms and designed a statistical and machine learning-based system to determine platform-independent key genes (KGs) for HCC patients. …”
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A Novel Differentially Private Online Learning Algorithm for Group Lasso in Big Data by Jinxia Li, Liwei Lu

“…The study begins by comparing online and offline learning approaches and classifying common online learning techniques. …”
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Machine Learning for Predicting Distant Metastasis of Medullary Thyroid Carcinoma Using the SEER Database by Zhen-Tian Guo, Kun Tian, Xi-Yuan Xie, Yu-Hang Zhang, De-Bao Fang

“…We aimed to establish an effective machine learning (ML) model for predicting the risk of distant metastasis (DM) in medullary thyroid carcinoma (MTC). …”
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Preoperative prediction of multiple biological characteristics in colorectal cancer using MRI and machine learning by Qiao-yi Huang, Hui-da Zheng, Bin Xiong, Qi-ming Huang, Kai Ye, Shu Lin, Jian-hua Xu

“…In this study, we aimed to construct radiomic models through machine learning to predict the progression of CRC. We collected the clinical, pathological, and magnetic resonance imaging (MRI) data of 136 CRC patients who underwent direct surgical resection. …”
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Model and Simulation of Maximum Entropy Phrase Reordering of English Text in Language Learning Machine by Weifang Wu

“…This paper proposes a feature extraction algorithm based on the maximum entropy phrase reordering model in statistical machine translation in language learning machines. The algorithm can extract more accurate phrase reordering information, especially the feature information of reversed phrases, which solves the problem of imbalance of feature data during maximum entropy training in the original algorithm, and improves the accuracy of phrase reordering in translation. …”
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A SYSTEMATIC REVIEW OF MOBILE-ASSISTED VOCABULARY LEARNING AND TEACHING IN ESL/EFL CONTEXT by Muhammad Nawaz, Malini Ganapathy, Sadaf Manzoor, Tess Ezzy, Shahzad Ul Hassan Farooqi

“…Malaysian Journal of Learning and Instruction…”
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Using Virtual Reality in the Classroom: Reflections of STEM Teachers on the Use of Teaching and Learning Tools by Bekir Yildirim, Emine Sahin-Topalcengiz, Gokhan Arikan, Serkan Timur

“…A VR orientation module would be provided teachers with opportunities to learn, practice, and apply their VR skills before being placed in the classroom. …”
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ARCS: Adaptive Reinforcement Learning Framework for Automated Cybersecurity Incident Response Strategy Optimization by Shaochen Ren, Jianian Jin, Guanchong Niu, Yang Liu

Subjects: “…reinforcement learning…”
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River water quality monitoring using machine learning with multiple possible in-situ scenarios by Dani Irwan, Saerahany Legori Ibrahim, Sarmad Dashti Latif, Chris Aaron Winston, Ali Najah Ahmed, Mohsen Sherif, Amr H. El-Shafie, Ahmed El-Shafie

Subjects: “…Machine learning…”
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Development of Arabic Language Learning Research: A Bibliometric Study on Scopus (2009-2024) by Ramadhan Safrudin, Ade Nandang, Sri Dewi Priwarti Siregar, Izzuddin Musthafa, Muhamad Fauzan Fauzi, Moch. Hazmi Farhanul Alby, Suyono Suyono

Subjects: “…arabic language learning…”
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Machine learning-based prediction of the mechanical properties of β titanium shape memory alloys by Naoki Nohira, Taichi Ichisawa, Masaki Tahara, Itsuo Kumazawa, Hideki Hosoda

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