MRI-based deep learning with clinical and imaging features to differentiate medulloblastoma and ependymoma in children by Yasen Yimit, Yasen Yimit, Parhat Yasin, Yue Hao, Abudouresuli Tuersun, Abudouresuli Tuersun, Chencui Huang, Xiaoguang Zou, Xiaoguang Zou, Ya Qiu, Ya Qiu, Yunling Wang, Mayidili Nijiati, Mayidili Nijiati

“…BackgroundMedulloblastoma (MB) and ependymoma (EM) in children share similarities in terms of age group, tumor location, and clinical presentation, which makes it challenging to clinically diagnose and distinguish them.PurposeThe present study aims to explore the effectiveness of T2-weighted magnetic resonance imaging (MRI)-based deep learning (DL) combined with clinical imaging features for differentiating MB from EM.MethodsAxial T2-weighted MRI sequences obtained from 201 patients across three study centers were used for model training and testing. …”
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Research on the Cultivation of Practical English Talents Based on a Big Data-Driven Model and Sentiment Dictionary Analysis by Qiuwei Fang

“…Notably, the precision of recognizing positive, negative, and neutral emotions reaches an impressive 92.5%, marking a notable improvement over methods devoid of dictionary feature integration. …”
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A method for English paragraph grammar correction based on differential fusion of syntactic features. by Weiling Liu, Caijun Zhao, Yongyi Li, Chenglong Cai, Hong Liu, Ruilin Qiu, Ruoci Su, Bingbing Li

“…Then carry out difference fusion analysis, measure the syntactic differences of adjacent sentences by cosine similarity, identify the significant differences caused by grammatical errors according to the preset threshold, lock the position and type of errors, and input the original sentence vector into the Seq2Seq model based on Transformer. …”
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Design of AUV controller based on improved PPO algorithm by Desheng XU, Chunhui XU

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Temporal Analysis Based Driver Drowsiness Detection System Using Deep Learning Approaches by Furkan Kumral, Ayhan Küçükmanisa

“…In this work, within the scope of Advanced Driver Assistance Systems (ADAS), deep learning based driver drowsiness detection system is proposed. …”
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The Impact of Mnemonic Strategies and Inquiry-Based Learning on Memory Retention and Creativity in Biology Education by Nurul Azizah, Aditya Marianti, Wiwi Isnaeni, Endah Peniati

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Improving Fiqh Learning Outcomes Through a Mind Mapping-Based Flipped Classroom by Pristian Hadi Putra, Uun Fauzanah Fitri, Adi Putra, Endah Silawati

“…This confirms that the flipped classroom model based on mind mapping significantly and positively influences the improvement of Fiqh learning outcomes among Grade VIII students at MTsN 6 Kerinci.…”
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Printed document layout analysis and optical character recognition system based on deep learning by Dong-Lin Li, Shih-Kai Lee, Yin-Ting Liu

“…Abstract This paper proposes a layout analysis and text recognition system for printed documents based on deep learning. Initially, scanned documents or image files are processed using a layout analysis algorithm based on YOLOv4 and YOLOv8 deep learning to identify the positions of titles, text paragraphs, tables, and images within the document. …”
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Rolling Bearing Fault Diagnosis Based on Stacked Autoencoder Network with Dynamic Learning Rate by Hong Pan, Wei Tang, Jin-Jun Xu, Maxime Binama

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A deep learning‐based approach for software vulnerability detection using code metrics by Fazli Subhan, Xiaoxue Wu, Lili Bo, Xiaobing Sun, Muhammad Rahman

“…Compared to other deep learning‐based vulnerability detection models, the authors’ proposed model produced a lower false‐positive rate, a lower miss rate, and improved accuracy.…”
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Research on fine-grained classification of rare metal granite lithology based on deep learning by ZHAO Hengqian, WANG Pan, LIU Zhiguo, MIAO Qunfeng, LI Zhibin, TANG Guanglong, QI Yunfei, XIE Yu, WANG Mengmeng

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QUR'AN-BASED MATHEMATICS LEARNING DESIGN ON THE SET MATERIAL FOR JUNIOR HIGH SCHOOL STUDENTS by Rahmy Zulmaulida, Dwi Syifa Kusumawati, Mahdalena Mahdalena

“…This study aims to develop a valid and effective Al-Qur'an-based mathematics learning design to be used as a choice of teaching materials for educators. …”
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Adaptive Transformer-Based Deep Learning Framework for Continuous Sign Language Recognition and Translation by Yahia Said, Sahbi Boubaker, Saleh M. Altowaijri, Ahmed A. Alsheikhy, Mohamed Atri

“…In this paper, we propose an Adaptive Transformer (ADTR)-based deep learning framework that enhances SL video processing for robust and efficient SLT. …”
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Deep learning-based detection of bacterial swarm motion using a single image by Yuzhu Li, Hao Li, Weijie Chen, Keelan O’Riordan, Neha Mani, Yuxuan Qi, Tairan Liu, Sridhar Mani, Aydogan Ozcan

“…To address these limitations, we developed a deep learning-based swarming classifier that rapidly and autonomously predicts swarming probability using a single blurry image. …”
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Trajectory Tracking Control Based on Visual Localization and Adaptive Radial Basis Function Sliding Mode Control by Hung-Yih Tsai, Shih-Min Liao, Chang-Hong Liu

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Enhancing multi-temporal drought forecasting accuracy for Iran: Integrating an innovative hidden pattern identifier, recursive feature elimination, and explainable ensemble learnin... by Mahnoosh Moghaddasi, Mansour Moradi, Mehdi Mohammadi Ghaleni, Mehdi Jamei

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A Systematic Literature Review of Current Machine Learning Approaches for Detecting GNSS Spoofing Attacks by Susan Bertram, Luca Eisentraut, Ricardo Buettner

“…Most detection methods are based on supervised learning methods or neural networks and have mainly been tested through simulations. …”
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An intelligent simplification method for river networks with an unsupervised variational autoencoder by Di Wang, Haizhong Qian, Xiao Wang, Limin Xie, Yue Chen, Linghui Kong

“…Finally, the Decoder decoded the samples, mapped the latent variables back to the dimensions and distributions of the original data, and reconstructed the data as close as possible to the inputs and the river network based on the target scale. The experimental results showed that compared with the classical Douglas-Peucker, Wang-Müller, and Visvalingam-Whyatt algorithms, this method was superior in terms of preserving the overall structure, position, shape, and local morphology of the simplified river network.…”
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An Optimal Two-Step Approach for Defense Against Poisoning Attacks in Federated Learning by Yasir Ali, Kyung Hyun Han, Abdul Majeed, Joon S. Lim, Seong Oun Hwang

“…Through extensive experimentation on three real-world benchmark datasets, we demonstrate that TDF-PAD outperforms state-of-the-art defense methods by achieving a 0% false positive rate on these benchmark datasets, showing it is generally applicable to any dataset.…”
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Analysis Use Motivation Study Student in Islamic Religious Education Learning Using the PAKEM Method in Senior High Schools by Abu Warasy Batula, Achmad Faqihuddin, Haris Munandar, Zakaria

“…Relationship is the aspect with the highest score, indicating students' perceptions of the practical value of PAI in their lives, followed by satisfaction, reflecting the success of the method in creating a positive and satisfying learning experience. …”
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