MSWF: A Multi-Modal Remote Sensing Image Matching Method Based on a Side Window Filter with Global Position, Orientation, and Scale Guidance by Jiaqing Ye, Guorong Yu, Haizhou Bao

“…MSWF is benchmarked against eight state-of-the-art multi-modal methods—six hand-crafted (PSO-SIFT, LGHD, RIFT, RIFT2, HAPCG, COFSM) and two learning-based (CMM-Net, RedFeat) methods—on three public datasets. …”
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ESP distance learning methods At technical universities by Nadiia P. Vilkhovchenko

“…English for Specific Purposes online learning involves modern methods that are constantly being improved. …”
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Arcing detection method of metro pantograph based on improved yolov4-tiny by AI Shengyong, DING Jianming, ZHANG Qingsong

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Enhancing the accuracy of cup placement in total hip arthroplasty using CT-based navigation by a trainee surgeon: a retrospective cohort study by Tetsuya Tachibana, Hiroki Katagiri, Takahisa Ogawa, Gaku Koyano, Tetsuya Jinno

“…Methods This retrospective cohort study included 112 hips that underwent total hip arthroplasty using CT-based navigation via anterolateral approach in the supine position by a trainee surgeon who had performed fewer than 20 prior THA cases. …”
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GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence by Mohd Anjum, Ashit Kumar Dutta, Ali Elrashidi, Sana Shahab, Asma Aldrees, Zaffar Ahmed Shaikh, Abeer Aljohani

“…This integration also ensures system scalability, as FL adapts training based on localized network topology.The system is evaluated using the CIC-IoT-2023 dataset, demonstrating its effectiveness in achieving high detection accuracy, low false positive rates, and strong resilience under dynamic IoT conditions.…”
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A comprehensive approach to portfolio optimization based on modern mathematical modeling methods by Shkanov Bulat

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Android malware detection based on APK signature information feedback by Xin-yu LIU, Jian WENG, Yue ZHANG, Bing-wen FENG, Jia-si WENG

“…A new malware detection method based on APK signature of information feedback (SigFeedback) was proposed.Based on SVM classification algorithm,the method of eigenvalue extraction adoped heuristic rule learning to sig APK information verify screening,and it also implemented the heuristic feedback,from which achieved the purpose of more accurate detection of malicious software.SigFeedback detection algorithm enjoyed the advantage of the high detection rate and low false positive rate.Finally the experiment show that the SigFeedback algorithm has high efficiency,making the rate of false positive from 13% down to 3%.…”
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Android malware detection based on APK signature information feedback by Xin-yu LIU, Jian WENG, Yue ZHANG, Bing-wen FENG, Jia-si WENG

“…A new malware detection method based on APK signature of information feedback (SigFeedback) was proposed.Based on SVM classification algorithm,the method of eigenvalue extraction adoped heuristic rule learning to sig APK information verify screening,and it also implemented the heuristic feedback,from which achieved the purpose of more accurate detection of malicious software.SigFeedback detection algorithm enjoyed the advantage of the high detection rate and low false positive rate.Finally the experiment show that the SigFeedback algorithm has high efficiency,making the rate of false positive from 13% down to 3%.…”
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A New Mask R-CNN-Based Method for Improved Landslide Detection by Silvia Ullo, Amrita Mohan, Alessandro Sebastianelli, Shaik Ahamed, Basant Kumar, Ramji Dwivedi, Ganesh R. Sinha

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A Predictive Method for Unplanned Postoperative Readmission Risk Based on Heterogeneous Data by Kai YU, Xiaofeng DONG, Zhenming YUAN, Zhaojian CUI, Weibin LUO

“…The CTFN method is capable of effectively integrating data from two different structures based on deep learning technology, thereby facilitating the acquisition of favorable prediction outcomes. …”
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GRL-ITransformer: An Intelligent Method for Multi-Wind-Turbine Wake Analysis Based on Graph Representation Learning With Improved Transformer by Kang Han, Li Xu

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A Construction and Representation Learning Method for a Traffic Accident Knowledge Graph Based on the Enhanced TransD Model by Xiaojia Liu, Haopeng Wu, Dexin Yu, Yunjie Chen, Hao Wu

“…Our model introduces entity–attribute projection vectors into the dynamic mapping mechanism to explicitly encode domain attributes, and designs a dual-limit scoring loss function to independently regulate the positive and negative sample boundaries. Experimental results demonstrate that our method significantly outperforms traditional translation-based models on the self-built TAKG as well as on the FB15K-237 and WN18RR benchmark datasets. …”
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Machine Learning Method (Decision Tree) to Predict the Physicochemical Properties of Premium Lebanese Kishk Based on Its Hedonic Properties by Ossama Dimassi, Youmna Iskandarani, Houssam Shaib, Lina Jaber, Shady Hamadeh

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Application of a flipped classroom incorporating modified team-based learning in molecular biology laboratory teaching: a mixed methods study by Meng Qu, Qinlong Hou, Xushen Li, Chunyan Yu, Jichen Xia, Zhiheng Dong

“…This study sought to elucidate the effectiveness of FC-TBL in molecular biology laboratory instruction and assess its influence on subsequent related courses’ learning outcomes. Methods A total of 109 students were randomly assigned to either the traditional Lecture-Based Learning (LBL) group or the FC-TBL group. …”
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The game of language learning and rewiring biocognitive receptors by Sri Takshara K, Bhuvaneswari G, T.S. Pradeep Kumar

“…This method article presents an interdisciplinary inclusive scientific framework that unites gamification, technology, epigenetics, and neuroscience, empowering learners and promoting sustainable well-being, while laying the groundwork for intergenerational academic and personal growth. • To propose a teaching methodology that aims to bridge gaps in traditional and game based language teaching by integrating neuroscience and epigenetics, creating an inclusive framework tailored to meet the unique needs of visually impaired learners. • The method emphasizes creating stress-free, rewarding educational environments that induce neural and epigenetic changes. …”
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Comparison of Random Survival Forest Based‐Overall Survival With Deep Learning and Cox Proportional Hazard Models in HER‐2‐Positive HR‐Negative Breast Cancer by Wenqi Cai, Yan Qi, Linhui Zheng, Huachao Wu, Chunqian Yang, Runze Zhang, Chaoyan Wu, Haijun Yu

“…Aims This study aims to build a survival prediction model for breast cancer patients based on different methods. The optimal model will provide more accurate survival predictions for clinical decision‐making of HER2 positive and HR negative cancer patients. …”
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Robust UWB Positioning System Using Switching Tracking Filters With Estimated States-Based Non-Line-of-Sight Classifier by Miseon Han, Jeongtae Kim

“…We present a novel UWB-based positioning system that incorporates a deep learning-based non-line-of-sight (NLOS) classifier and a switching tracking filter. …”
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Development novice teachers’ higher-order thinking skills through online problem-based learning platform: A mixed methods experimental research by Pongwat Fongkanta, Fisik Sean Buakanok

“…The research involved 57 novice teachers participating in the research for learning development courses. The mixed method experimental design was employed in this study. …”
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An Optimized Design of New XYθ Mobile Positioning Microrobotic Platform for Polishing Robot Application Using Artificial Neural Network and Teaching-Learning Based Optimization by Minh Phung Dang, Hieu Giang Le, Ngoc Le Chau, Thanh-Phong Dao

“…In modeling the behaviors of the developed platform, the artificial neural network is formulated in combination with the teaching-learning-based optimization (TLBO) method. The ANN architecture was optimized through TLBO to a better approximation. …”
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Tea Disease Detection Method Based on Improved YOLOv8 in Complex Background by Junchen Ai, Yadong Li, Shengxiang Gao, Rongsheng Hu, Wengang Che

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