An intelligent prediction method for rock core integrity based on deep learning by Zhaoxia Hu, Hua Mei, Lei Yu

“…Abstract To address the issue of serious inefficiency in the traditional manual evaluation methods of rock core integrity, a deep learning-based algorithm named IDA-RCF (Intelligent detection algorithm for Rock Core Fissure) is proposed in this paper, which realizes the automatic evaluation of rock core integrity in accordance with the fissure identification results. …”
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Biomedical relation extraction method based on ensemble learning and attention mechanism by Yaxun Jia, Haoyang Wang, Zhu Yuan, Lian Zhu, Zuo-lin Xiang

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Distanced Large Group Simulations as a Learning Method for Interprofessional Collaboration by Marja Silén-Lipponen, Eija Piippo-Savolainen, Mina Azimirad, Terhi Saaranen

“…Digitalization in healthcare education has shifted simulation learning methods to distanced implementations. Successful transition to distance education requires effective communication and the teacher’s good ability to use digital learning methods, as well as students’ active interaction and motivation throughout the entire educational process. …”
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A Method of Fatigue Driving State Detection Based on Deep Learning by XIONG Qunfang, LIN Jun, YUE Wei

“…The experimental results show that this method can obtain good fatigue characteristics, realize real-time fatigue detection, and its detection accuracy is 96.8%.…”
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DOA Estimation Method for Vector Hydrophones Based on Sparse Bayesian Learning by Hongyan Wang, Yanping Bai, Jing Ren, Peng Wang, Ting Xu, Wendong Zhang, Guojun Zhang

“…This article proposes a direction of arrival (DOA) estimation method for vector hydrophones based on SBL (Vector-SBL). …”
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Baby Cry Classification Using Ensemble Learning and Whisper Method Comparison by I Putu Yogi Prasetya Dharmawan, I Made Agus Dwi Suarjaya, Wayan Oger Vihikan

“…This study compares the performance of ensemble learning methods, namely Random Forest and XGBoost, with the Whisper model in classifying baby cries. …”
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The implementation of the socio-drama learning method at MTsN 2 Malang by H. Hidajati, Nur Wahyu Rochmadi, Siti Awaliyah

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The Implementation of Mimicry Memorization Method for Novice Students in Learning Arabic Mufradat by Nor Afifah, Sunarto Sunarto, Moh. Fery Fauzi, Irma Anindiati, Talqis Nurdianto

“…This research aimed to investigate the effectiveness of using mimicry memorization method for learning mufradat in Junior High School of Muhammadiyah and to investigate the extent which students improve memorization skills after using mimicry memorization method. …”
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A Learned Reduced-Rank Sharpening Method for Multiresolution Satellite Imagery by Sveinn E. Armannsson, Magnus O. Ulfarsson, Jakob Sigurdsson

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Optimal-Transport-Based Positive and Unlabeled Learning Method for Windshear Detection by Jie Zhang, Pak-Wai Chan, Michael Kwok-Po Ng

“…In this paper, we aim to investigate a machine learning method for windshear detection based on previously collected wind velocity data and windshear records. …”
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Deblurring Method of Face Recognition AI Technology Based on Deep Learning by Weilong Li, Jie Li, Junhui Zhou

“…As a common method of deep learning, a convolutional neural network (CNN) shows excellent performance in face recognition. …”
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A Distributed Conjugate Gradient Online Learning Method over Networks by Cuixia Xu, Junlong Zhu, Youlin Shang, Qingtao Wu

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A Multi-Task Based Clustering Personalized Federated Learning Method by Ao Xiong, Han Zhou, Yu Song, Dong Wang, Xu Wei, Da Li, Bo Gao

“…Federated Learning (FL) is a framework for machine learning on a large-scale distributed dataset, enabling the training of a collaborative model across multiple parties while preserving the privacy of user data. …”
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Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method by İbrahim Yücel Özbek, Mustafa Taha Güller, Zeynep Turanli Tosun, Nida Kumbasar, Özkan Miloğlu

“…This study aims to determine gender from hand-wrist radiographs using different deep-learning methods.Methods: The left hand-wrist radiographs of 1044 individuals (534 males and 510 females) were pre-processed to clarify the image and adjust the contrast. …”
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A new method for reconstructing building model using machine learning by Shengjie Wu, Haibo Ye, Antao Li, Huawei Tu, Shenxin Xu, Dong Liang

“…In this study, the rendering method is adopted as the starting point, and architectural features are learned by training a neural network to provide the necessary information for rendering. …”
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A Method for Detecting Foreign Objects in Pastries Based on Deep Learning by Haoqi TANG, Jun YANG, Rongchang CHEN

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An Internal Overvoltage Identification Method for Distribution Network Based on Transfer Learning by Hao XU, Liqiang LIU, Chao LV

“…As a measure for internal overvoltage identification of distribution network, the data driving method is limited in practical applications due to the small number of overvoltage samples. …”
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A joint learning method for low-light facial expression recognition by Yuanlun Xie, Jie Ou, Bihan Wen, Zitong Yu, Wenhong Tian

“…Abstract Existing facial expression recognition (FER) methods are mainly devoted to learning discriminative features from normal-light images. …”
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Case-Based Method Learning Design in Laboratory Engineering and Management Courses by Aisyiah Restutiningsih Putri Utami, Ermita Ermita, Miftahul Jannah, Musma Rukmana

“…The study aims to analyze the critical thinking skills of students using the case-based method in teaching-learning activities. The subject that was held was laboratory engineering and management.This study is motivated by the various problems in the laboratory that were conducted with the teaching-learning material in this course and also related to the student's critical thinking ability to solve the problems in the chemistry laboratory at Manado State University. …”
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Adaptive Traffic Signal Control Method Based on Offline Reinforcement Learning by Lei Wang, Yu-Xuan Wang, Jian-Kang Li, Yi Liu, Jia-Tian Pi

“…This paper proposes an adaptive traffic signal control method based on offline reinforcement learning (Offline RL) to address the limitations of traditional fixed-time signal control methods. …”
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