The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis by Lan Xu, Zian Chen, Dan Zhu, Yingjun Wang

“…ResultsFifty-eight studies encompassing 12,903 patients were eligible, with an average Radiomics Quality Score of 9.21. Radiomics-based machine learning (ML) was mainly used to diagnose ICC (n=30), microvascular invasion (n=8), gene mutations (n=5), perineural invasion (PNI; n=2), lymph node (LN) positivity (n=2), and tertiary lymphoid structures (TLSs; n=2), and predict overall survival (n=6) and recurrence (n=9). …”
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Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women by Yi-Xin Li, Yu Lu, Zhe-Ming Song, Yu-Ting Shen, Wen Lu, Min Ren

“…By integrating radiomics and deep learning features with SR-based image preprocessing, our model improves diagnostic specificity, reduces false positives, and mitigates operator-dependent variability. …”
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ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application by Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal, Sajeeb Saha, Rakib Hossen, Sabbir Ahmed, Mohammad Abu Tareq Rony, Mosammat Farida Akter

“…In this paper, we developed a machine learning-based kidney diseases prediction (ML‐CKDP) model with dual objectives: to enhance dataset preprocessing for CKD classification and to develop a web-based application for CKD prediction. …”
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Intelligent Fruit Localization and Grasping Method Based on YOLO VX Model and 3D Vision by Zhimin Mei, Yifan Li, Rongbo Zhu, Shucai Wang

“…This study proposes an improved hybrid framework integrating YOLO VX deep learning, 3D object recognition, and SLAM-based navigation for harvesting ripe fruits in greenhouse environments, achieving servo control of robotic arms with flexible end-effectors. …”
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Machine learning-derived diagnostic model of epithelial ovarian cancer based on gut microbiome signatures by Cheng Chen, Chengyuan Deng, Yanwen Li, Shuguang He, Yunhong Liu, Shuwen Pan, Wenqian Xu, Lu Fang, Yixi Zhu, Yingying Wang, Xiaoxin Jiang

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Educational Psychology Analysis Method for Extracting Students’ Facial Information Based on Image Big Data by Maoyue Zhang

“…The relative position of facial landmarks and local area texture features based on FACS represent shallow-level features. …”
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Two‐stage video anomaly detection based on dual‐stream networks and multi‐instance learning by Dejun Zhang, Wenbo Fang, Yuhang Liu, Zirong Lyu, Chen Xiong, Zhan Wang

“…Abstract To promptly detect abnormal events in surveillance videos, this article designs a video anomaly detection method based on multiple instance learning. Generally, abnormal events occur less frequently compared to normal events. …”
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IMPLEMENTATION OF ANDROID-BASED INTERACTIVE MULTIMEDIA ON ATOM STRUCTURE MATERIALS ON LEARNING OUTCOMES AND STUDENT MOTIVATION by Sandy Yudha, Nurfajriani Nurfajriani, Ramlan Silaban

“…The purpose of this study was to determine the effect of implementing Android-based interactive multimedia on learning outcomes and student motivation at SMA Negeri 1 Binjai, Langkat Regency. …”
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Discovering User Sentiment Patterns in Libraries with a Hybrid Machine Learning and Lexicon-Based Approach by Dini Nurmalasari, Dini Hidayatul Qudsi, Nessa Chairani, Heri R Yuliantoro

“…Sentiment analysis is employed using the VADER method to classify user comments into positive or negative categories. …”
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PENERAPAN MODEL PEMBELAJARAN PROBLEM-BASED HYBRID LEARNING DALAM PENCAPAIAN LITERACY DIGITAL SISWA by Made Prima Restami, Komang Anik Sugiani

“…The results of this study are based on the results of a review of 15 articles that found that the use of P-BHL in the learning process at school and in college has a positive impact such as improving performance, comprehension, critical thinking skills, digital literacy skills and cognitive abilities in learning by applying the P-BHL learning method both at school and in college. …”
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Leveraging Mixture of Experts and Deep Learning-Based Data Rebalancing to Improve Credit Fraud Detection by Zeyuan Yang, Yixuan Wang, Haokun Shi, Qiang Qiu

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Factors Influencing EFL Students' Engagement in Project-Based Learning within ICT-Integrated Classrooms by Ardhita Annisa Dewi, Roslaini Roslaini

“…It is important to have for students, particularly in learning ICT-based projects. Then, this research aims to investigate the factors of students’ willingness that influence them to complete the project. …”
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Machine Learning-Based Detection of Icebergs in Sea Ice and Open Water Using SAR Imagery by Zahra Jafari, Pradeep Bobby, Ebrahim Karami, Rocky Taylor

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Development of a hybrid reflective micro learning model based on ICT in Micro Teaching courses by Emil El Faisal, Sani Safitri, Puspa Dianti, Dea Lestari, Sulkipani Sulkipani

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Ground-Based Cloud-Type Recognition Using Manifold Kernel Sparse Coding and Dictionary Learning by Qixiang Luo, Zeming Zhou, Yong Meng, Qian Li, Miaoying Li

“…Based on the symmetric positive definite (SPD) matrix manifold, a novel method named “manifold kernel sparse coding and dictionary learning” (MKSCDL) is proposed for cloud classification. …”
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Few-Shot SAR ATR via Multilevel Contrastive Learning and Dependence Matrix-Based Measurement by Haoyue Tan, Zhenxi Zhang, Xiaoran Shi, Xinyao Yang, Yu Li, Xueru Bai, Feng Zhou

“…This method comprises two key components: the MCL module and the dependence matrix-based measurement (DMM) module. …”
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Mobile learning based on natural experience approach to im-prove science literacy and environmental attitudes by Dian Samitra, Endang Widi Winarni

“…Teacher education should foster both scientific literacy and environmental attitudes, which can be enhanced through the use of technology-based learning media. This research aims to develop a herpetofauna mobile learning based on a natural experience approach to improve science literacy and environmental attitudes teacher candidates. …”
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Prediction of Shear Capacity of Fiber-Reinforced Polymer-Reinforced Concrete Beams Based on Machine Learning by Jitao Zhao, Miaomiao Zhu, Lidan Xu, Ming Chen, Mingfang Shi

“…To address the existing challenges of lacking a unified and reliable shear capacity prediction model for fiber-reinforced polymer (FRP)-strengthened reinforced concrete beams (FRP-SRCB) and the excessive experimental workload, this study establishes a shear capacity prediction model for FRP-SRCB based on machine learning (ML). First, the correlation between input and output parameters was analyzed by the Pearson correlation coefficient method. …”
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Training in self-regulated learning based on a neuropsychological approach to academic stress in university students by Diego Daniel Díaz Guerra, Marena de la C Hernández Lugo, María del Pilar Fernández Celis, Raquel Yovana Tello Flores, Esteban Rodríguez Torres

“…Conclusions: this study demonstrates that a training program in self-regulated learning, based on a neuropsychological approach, can be effective in reducing stress associated with the academic context and increasing the performance of university students. …”
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Impact of OER-assisted Problem-based Learning on Creative Thinking and Self-Efficacy in Physics Education by Agung Sedayu, Herpratiwi Herpratiwi, Dwi Yulianti, I Wayan Distrik

“… In the era of unlimited information, one method of learning is through the use of open education resources (OER) whereby It can be included into learning that is problem-based learning (PBL) to optimize students’ low creative thinking. …”
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