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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Optimizing Deep Learning Acceleration on FPGA for Real-Time and Resource-Efficient Image Classification by Ahmad Mouri Zadeh Khaki, Ahyoung Choi

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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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Investigating the peer assisted teaching on students' perception of the clinical learning environment in operating room by Maryam Mahmoudi, Seyed Masoud Hosseini, Najmeh Valizadehzare, Hassan Gholami, Javad Jafari

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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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Energy-Efficient Federated Learning for Internet of Things: Leveraging In-Network Processing and Hierarchical Clustering by M. Baqer

Subjects: “…federated learning…”
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Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods by Yonghong Liu, Muhammad S. Saleem, Javed Rashid, Sajjad Ahmad, Muhammad Faheem

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Data-driven analysis of climate impact on tomato and apple prices using machine learning by Sunghyun Yoon, Tae-Hwa Kim, Dong Sub Kim

“…Machine learning has been used in various areas, but there are few studies on price prediction for agricultural products. …”
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Not Just Plug and Play: Integrating Professional Skills Development into Undergraduate Experiential Learning Courses by Steven Henle, Susan T. Dinan, Megan Marcoux, Janette Barrington, Julia L. Ginsburg, Sandra Gabriele

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Effect of phosphorus fractions on benthic chlorophyll-a: Insight from the machine learning models by Yuting Wang, Sangar Khan, Zongwei Lin, Xinxin Qi, Kamel M. Eltohamy, Collins Oduro, Chao Gao, Paul J. Milham, Naicheng Wu

“…To address this gap, we applied two machine learning algorithms—random forest (RF), and artificial neural networks (ANN) to predict benthic chl-a concentrations by incorporating these specific P fractions as separate variables. …”
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Tracking Vehicle Cruising in an Open Parking Lot Using Deep Learning and Kalman Filter by Vijay Paidi, Hasan Fleyeh, Johan Håkansson, Roger G. Nyberg

“…Therefore, the use of deep learning algorithms and Kalman filter facilitates detecting and tracking multiple vehicles in an open parking lot.…”
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Flexible touch and gesture recognition system for curved surfaces with machine learning for assistive applications by Gitansh Verma, Shrutidhara Sarma, Eugen Koch, Andreas Dietzel

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