GUARANTEES EQUIVALENT TO THE RIGHT TO A FAIR TRIAL IN THE MATTER OF CHALLENGES TO THE WITHDRAWAL OF SECURITY CERTIFICATES ISSUED BY THE OFFICE OF THE NATIONAL REGISTER OF STATE S... by Monica Cristina COSTEA

“…In the European countries, the situation regarding conditional access to classified documents from the point of view of lawyers and parties against whom such documents are issued is similar, in that it is recognised that the principle of adversarial proceedings and the rights of the defence must be limited because of the need to protect national security. …”
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EDG-Net: Edge-Enhanced Dynamic Graph Convolutional Network for Remote Sensing Scene Classification of Mining-Disturbed Land by Xianju Li, Pan Kong, Weitao Chen, Wenxi He, Jian Feng, Jiangyuan Wang

“…Subsequently, a novel model of edge-enhanced dynamic graph convolutional network (GCN) (EDG-Net) was proposed to learn the discriminative features for classification of mining land with irregular edges, different sizes, a relatively small proportion, and sparse spatial distribution. (1) Edge-enhanced multiscale attention module: it is designed to capture key multiscale features and edge details using parallel dilated convolutions with attention fusion and edge enhancement, which facilitates the identification of objects with irregular edges and different sizes. (2) Downsampling fusion module: it integrates the features obtained through spatially split learning and max-pooling to overcome the information loss issue of small objects. (3) Patch-based dynamic GCN: the input images were split into several patches as nodes, and a graph was constructed and dynamically updated by connecting the nearest neighbors. …”
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A new alignment-free method: K-mer Subsequence Natural Vector (K-mer SNV) for classification of fungi by Lily He, Mochao Huang, Gulinisha Yiming, Yi Zhu, Ruowei Liu, Jinghan Chen, Stephen S. T. Yau

“…Abstract As eukaryotic organisms, fungi play a pivotal role within ecosystems and exert profound influences on agriculture, the pharmaceutical industry, and human health. The classification of fungi in databases has emerged as a crucial and complex issue in the field of biology. …”
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Application of Hybrid Attention Mechanisms in Lithological Classification with Multisource Data: A Case Study from the Altay Orogenic Belt by Dong Li, Jinlin Wang, Kefa Zhou, Jiantao Bi, Qing Zhang, Wei Wang, Guangjun Qu, Chao Li, Heshun Qiu, Tao Liao, Chong Zhao, Yingpeng Lu

“…This resulted in a 7.99% improvement in classification accuracy compared with that of traditional models, significantly increasing the precision of lithological classification. (2) The combination of channel attention followed by spatial attention achieved the highest overall accuracy, 98.06%.…”
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Advanced music classification using a combination of capsule neural network by upgraded ideal gas molecular movement algorithm by Peiyan Chen, Jichi Zhang, Arsam Mashhadi

“…Abstract Music genres classification has long been a challenging task in the field of Music Information Retrieval (MIR) due to the intricate and diverse nature of musical content. …”
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Dual Strategy Based Improved Swarm Intelligence and Stacked LSTM With Residual Connection for Land Use Land Cover Classification by Vinaykumar Vajjanakurike Nagaraju, Ananda Babu Jayachandra, Andrzej Stateczny, Swathi Holalu Yogesh, Raviprakash Madenur Lingaraju, Balaji Prabhu Baluvaneralu Veeranna

“…The LULC classification is a difficult task because of the high dimensional feature space, which affects the classification accuracy. …”
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Smart Insole-Based Plantar Pressure Analysis for Healthy and Diabetic Feet Classification: Statistical vs. Machine Learning Approaches by Dipak Kumar Agrawal, Watcharin Jongpinit, Soodkhet Pojprapai, Wipawee Usaha, Pattra Wattanapan, Pornthep Tangkanjanavelukul, Timporn Vitoonpong

“…Diabetes is a significant global health issue impacting millions. Approximately 26 million diabetics experience foot ulcers, with 20% ending up with amputations, resulting in high morbidity, mortality, and costs. …”
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A Multi-Task Learning Framework with Enhanced Cross-Level Semantic Consistency for Multi-Level Land Cover Classification by Shilin Tao, Haoyu Fu, Ruiqi Yang, Leiguang Wang

“…We addressed this issue with a deep multi-task learning (MTL) framework, named MTL-SCH, which enables collaborative classification across multiple semantic levels. …”
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Risk Classification of Food Incidents Using a Risk Evaluation Matrix for Use in Artificial Intelligence-Supported Risk Identification by Sina Röhrs, Sascha Rohn, Yvonne Pfeifer

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A Semisupervised Classification Method for Riverbed Benthic Sediments Using Integrated Superpixel Segmentation and Confident Learning Sample Enhancement by Yaxue Wang, Yuewen Sun, Xiaodong Cui, Tianyu Yun, Xianhai Bu, Fanlin Yang

“…Comparison results show that the proposed method achieves a classification accuracy of 85.3%, an improvement of 2.9% to 9.9% compared to traditional classification methods, offering a new approach for large-scale benthic environment detection in river basins.…”
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Classification of Anxiety Levels of IGD Patients at RSU Royal Prima Medan Using Support Vector Machine (SVM) Algorithm by Kharisma Gunanta Ginting, Nugroho Prasetyo, Al Vino Gunawan, Magdalena Sihombing, Adli Abdillah Nababan

“…This study aims to develop a patient anxiety level classification model in the ED using the Support Vector Machine (SVM) algorithm with the application of the Synthetic Minority Oversampling Technique (SMOTE) to address the class imbalance issue. …”
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Random forest algorithm identifies miRNA signatures for breast cancer detection and classification from patient urine samples by Jochen Maurer, Matthias Rübner, Chao-Chung Kuo, Birgit Klein, Julia Franzen, Julia Wittenborn, Tomas Kupec, Laila Najjari, Peter Fasching, Elmar Stickeler

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Fault Classification in Power Transformers via Dissolved Gas Analysis and Machine Learning Algorithms: A Systematic Literature Review by Vuyani M. N. Dladla, Bonginkosi A. Thango

“…The survey also reveals the countries at the forefront of transformer fault diagnosis and a classification based on DGA using machine learning algorithms. …”
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Machine learning based classification of catastrophic health expenditures: a cross-sectional study of Korean low-income households by Seok Min Ji, Jeewuan Kim, Kyu Min Kim

“…Abstract Background Despite the National Health Insurance (NHI) system implemented in South Korea, concerns persist regarding access to health coverage for low-income households. To address this issue, this study aims to use machine learning-based data mining techniques to classify whether such households will face catastrophic health expenditures (CHEs). …”
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S²RCFormer: Spatial-Spectral Residual Cross-Attention Transformer for Multimodal Remote Sensing Data Classification by Yifei Xu, Lingming Cao, Jialu Li, Wenlong Li, Yaochen Li, Yingjie Zong, Aichen Wang, Yuan Rao, Shuiguang Deng

“…With the advancement of remote sensing technology, more and more modalities are becoming available for land cover classification tasks, helping to address the issue of insufficiency and incompleteness caused by modeling on single-source remote sensing images. …”
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Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model by S. M. Mahim, Md. Shahin Ali, Md. Olid Hasan, Abdullah Al Nomaan Nafi, Arefin Sadat, Shakib Al Hasan, Bryar Shareef, Md. Manjurul Ahsan, Md. Khairul Islam, Md. Sipon Miah, Ming-Bo Niu

“…The proposed model overcomes the class imbalance issue in the MRI image dataset and achieves superior accuracy and performance compared to existing methods. …”
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Enhancing downwelling diffuse attenuation coefficient retrieval at 490 nm through a Neural network and water classification system by Tianle Yao, Tianjie Zhan, Jilin Men, Lan Zhang, Liqiao Tian

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A Convolutional Mixer-Based Deep Learning Network for Alzheimer’s Disease Classification from Structural Magnetic Resonance Imaging by M. Krithika Alias Anbu Devi, K. Suganthi

“…A hybrid sampling approach combining SMOTE (synthetic minority oversampling technique) with the ENN (edited nearest neighbors) effectively handles the complications of class imbalance issue inherent in the datasets. An explainable activation space occlusion sensitivity map (ASOP) pixel attribution method is employed to highlight the critical regions of input images that influence the classification decisions across different stages of AD. …”
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Enhanced Fetal Arrhythmia Classification by Non-Invasive ECG Using Cross Domain Feature and Spatial Differences Windows Information by Gede Angga Pradipta, Putu Desiana Wulaning Ayu, Made Liandana, Dandy Pramana Hostiadi

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PAIN AS AN INTERDISCIPLINARY PROBLEM by N. A. Shostak, N. G. Pravdyuk

“…This article addresses issues of classification, and objective assessment of the pain, clinical variants of pain are described, modern methods of pain therapy are presented.…”
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