Improved Deep Support Vector Data Description Model Using Feature Patching for Industrial Anomaly Detection by Wei Huang, Yongjie Li, Zhaonan Xu, Xinwei Yao, Rongchun Wan

“…This approach effectively captures both macro-structural information and fine-grained local information from the extracted features, enhancing the model’s sensitivity to anomalies. …”
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Novel approach for Arabic fake news classification using embedding from large language features with CNN-LSTM ensemble model and explainable AI by Omar Ibrahim Aboulola, Muhammad Umer

“…Abstract The widespread fake news challenges the management of low-quality information, making effective detection strategies necessary. …”
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A Malware Classification Method Based on Knowledge Distillation and Feature Fusion by Xin Guan, Guodong Zhang

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A Framework for Breast Cancer Classification with Deep Features and Modified Grey Wolf Optimization by Fathimathul Rajeena P.P, Sara Tehsin

“…A 32-layer convolutional neural model inspired by YOLO, U-Net, and ResNet is intended to extract highly discriminative features for breast cancer classification. …”
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LSAP: A Learned Structure-Aware Pruning Point Cloud Classification Approach for Cyber Physical Social Intelligence by Xinhong Liu, Yangfan Li, Fengxiao Tang, Ming Zhao

“…Comprehensive experiments on the ModelNet40 dataset verify the effectiveness of our method. …”
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Causal Intervention-Based Multimodal Class-Incremental Learning Network for 3D Model Classification and Retrieval by Qiang Li, Qiu-Yang Ma, Ning Zhang, Wei-Zhi Nie

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An Intrusion Detection System over the IoT Data Streams Using eXplainable Artificial Intelligence (XAI) by Adel Alabbadi, Fuad Bajaber

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A tool for assessing alignment of biomedical data repositories with open, FAIR, citation and trustworthy principles. by Fiona Murphy, Michael Bar-Sinai, Maryann E Martone

“…The goal of this work was both to obtain a sense of how much the design of current biomedical data repositories align with these principles and to augment the dkNET listing with additional information that may be important to investigators trying to choose a repository, e.g., does the repository fully support data citation? …”
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A Study of Potential Applications of Student Emotion Recognition in Primary and Secondary Classrooms by Yimei Huang, Wei Deng, Taojie Xu

“…Secondly, in order to address the intricacies of the classroom setting and the specific requirements of the emotion recognition task, a multi-channel emotion recognition network (MultiEmoNet) has been developed. This network fuses skeletal, environmental, and facial information, and introduces a central loss function and an attention module AAM to enhance the feature extraction capability. …”
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Oil spill classification based on satellite image using deep learning techniques by Abubakar Salihu Abba, Noorfa Haszlinna Mustaffa, Siti Zaiton Mohd Hashim, Razana Alwee

“…However, with the advancement of deep learning techniques, the processes are now computerized for finding vital information using real-time satellite images. This paper applied three deep-learning algorithms for satellite image classification, including ResNet50, VGG19, and InceptionV4; They were trained and tested on an open-source satellite image dataset to analyze the algorithms' efficiency and performance and correlated the classification accuracy, precisions, recall, and f1-score. …”
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Accounting as a performance measurement tool: A case study of Restaurants in Musanze Town/Rwanda. by Elisee, Kaberuka

“…The findings revealed that net profit was most used for measuring the restaurants performance in Musanze Town. …”
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BRING YOUR OWN DEVICE POLICY AND WI-FI TECHNOLOGY FOR MILITARY EDUCATIONAL ORGANIZATION by Vitalii A. Savchenko

“…Nowadays wireless technologies are forbidden for many military organizations because of information restrictions so all aspects of new approach integrity with Net-Centric strategy, efficiency, reliability, security and cost are considered in the article. …”
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Hierarchical representations of relative numerical magnitudes in the human frontoparietal cortex by Teruaki Kido, Yuko Yotsumoto, Masamichi J. Hayashi

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Multi-scale ship detection algorithm in SAR images in complex scenes by He Shun, Wang Yuzhu, Yang Zhiwei

“…Firstly, a multi-scale object feature extraction network (MFE-Net) is used to extract feature information to improve the detection capability of multi-scale objects and reduce redundant calculations. …”
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PENGEMBANGAN SISTEM INFORMASI ADMINISTRASI PEMERIKSAAN PASIEN DI INSTALASI RADIOLOGI RSUD KAJEN DENGAN UNIFIED PROCESS by Yadanur Alim, Suhartono Suhartono, Priyo Sidik Sasongko

“…Kajen Regional Hospital of Pekalongan Regency has applied information technology to improve the quality of service to the patients. …”
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The annual feasibility and affordability of a healthy diet for families with children in Israel by income quintile and geographic area of residency by Naama Dgania-Yaroslaviz, Moran Blaychfeld Magnazi, Vered Kaufman-Shriqui

“…The cost of the recommended food items in the healthy diet for adults and children (by age group) was calculated using standard food portions and meal frequency and expressed as a percentage of the households net income. The proportion of households for which food expenditures exceeded 15% of the net income was calculated, followed by changes in food prices during 2018. …”
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Cost-effectiveness of oral versus injectable disease modifying therapies in relapsing multiple sclerosis: a systematic review analysis by Mehdi Rezaee, Ramin Ravangard, Seyyed Morteza Mojtabaeian, Abdosaleh Jafari

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Multimodal representations of transfer learning with snake optimization algorithm on bone marrow cell classification using biomedical histopathological images by Khaled Tarmissi, Jamal Alsamri, Mashael Maashi, Mashael M. Asiri, Abdulsamad Ebrahim Yahya, Abdulwhab Alkharashi, Monir Abdullah, Marwa Obayya

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Enhancing Crack Segmentation Network with Multiple Selective Fusion Mechanisms by Yang Chen, Tao Yang, Shuai Dong, Like Wang, Bida Pei, Yunlong Wang

“…Then, a multi-scale adaptive fusion module is developed to selective capture both global and local contextual information, mitigating the information loss. Finally, to tackle class imbalance, a multi-scale monitoring and selective output module is introduced to enhance the model’s focus on crack features and suppress the interference from background and irrelevant information. …”
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A cost-effective image-based model without constraint for weight estimation of poultries using deep learning by Zhi Qiao, Jianhui Liu, Fangxi Yang, Jinping Hao, Zhuocheng Hou, Hui Li, Feng Zhu

“…The proposed methodology integrates a novel lightweight classification model, DeformAttn-ShuffleNetV2, to automatically filter optimal standing posture images, thereby significantly improving the quality of the input data. …”
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