ARMENIAN-AZERBAIJIAN CONFLICT: CHRONOLOGY OF EVENTS AND POLITICAL ASPECT by Vladyslav Koshelnyk

“…The issue of the long-term Armenian-Azerbaijani conflict within the framework of the Nagorno-Karabakh region has been studied. …”
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Pathway for Renewable Energy Application in Urban Green Space under the Low Carbon Perspective by Kailun WANG, Tonggang NIU, Lian LIU, Zhongjie WANG

“…Based on existing renewable energy classification systems, the research considers factors such as spatial openness, ecological foundation, and available areas of urban green spaces to examine five main types of renewable energy: solar, wind, biomass, hydropower, and geothermal energy. …”
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IG-FIQA: Improving Classifiability-Based Face Image Quality Assessment Through Intra-Class Variance Guidance by Minsoo Kim, Gi Pyo Nam, Haksub Kim, Haesol Park, Ig-Jae Kim

“…To address this issue, we present intra-class variance guidance for FIQA (IG-FIQA), a novel approach to guide FIQA training, introducing a weight parameter to alleviate the adverse impact of these classes. …”
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A Cross-Domain Identity Control Model for Electric Blockchain by Ke YANG, Dong WANG, Da LI, Xiaoyu QIAN, Jun LI

“…There would be serious cross-domain authentication issue when business terminals access different trust domain nodes in various scenarios. …”
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Multi-perspective Learning Based on Transformer for Stock Price Trend by Xiliang Li, Shuoru Chen, Xiaoyan Qiao, Mingli Zhang, Caiming Zhang, Feng Zhao

“…Abstract Stock constitutes a crucial element of the financial market, and accurately forecasting stock trends remains a significant and unresolved issue. Nonetheless, the stock’s considerable complexity renders accurate prediction of stock trends more challenging. …”
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The CLIP - GPT Image Captioning Model Integrated with Global Semantics by TAO Rui, REN Honge, CAO Haiyan

“…Cross-modal semantic consistency is the core issue of shared subspace embedding when bridging pre-training models in the fields of computer vision and natural language processing to construct image captioning models. …”
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EXPLORING MISCLASSIFICATION STATUS OF PLATFORM WORKERS IN MALAYSIA FOR ENHANCED EMPLOYMENT PROTECTIONS by Nazruzila Razniza Mohd Nadzri, Tuan Fatma Tuan Sulaiman, Abdul Mutalib Mohamed Azim, Nurulbahiah Awang, Mohd Shahril Nizam Md Radzi

“…In Malaysia, the classification of platform workers, as exemplified in Loh Guet Ching v Menteri Sumber Manusia & Anor case, remains a contentious issue. …”
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Improving ridership by predicting train occupancy levels by Muhammad Awais Shafique

“…This study explores the less frequently investigated relationship among occupancy levels at a particular station over several train runs, to predict the future occupancy level with a delay of one run (day). Tackling the issue as a classification problem rather than a regression problem, train occupancy data, station data, and weather data are merged to develop the final dataset. …”
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Deep Learning Framework for Oil Shale Pyrolysis State Recognition Using Bionic Electronic Nose by Yuping Yuan, Xiaohui Weng, Yuheng Qiao, Xiaohu Shi, Zhiyong Chang

“…It is designed to identify both the pyrolysis state classification and the oil shale maturity regression tasks. …”
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Field-free spin–orbit torque devices for logic and neural network applications by Chun-Yi Lin, Jui-Yu Hsieh, Po-Chuan Wang, Chia-Chin Tsai, Chi-Feng Pai

“…We further explore the application of a digital SOT magnetic random access memory (MRAM) design in addressing the issue of the low ON/OFF ratio of the conventional spin-transfer torque MRAM, highlighting its potential for neural network applications. …”
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Smartphone sensor-based depression detection in campus environments: a proof-of-concept study with small-sample behavioral analysis by Yichen Bai, Yueze Liu, Yang Zhang, Amr Tolba

“…IntroductionDepression is a rising global health issue, particularly among adolescents, with university students facing distinct mental health challenges.MethodsThis proof-of-concept study explores smartphone sensor-based depression detection in Chinese university campus settings using a small sample of 12 participants. …”
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Performance measurement in data envelopment analysis: a BCC-based approach by Azam Pourhabib Yekta, Mahnaz Maghbouli

“…Notably, the proposed model does not require any prior information on weights or the classification of units, reducing the complexity of the problem.Originality/Value: To highlight the strength of the proposed method, the model is implemented on two case studies and compared with the results obtained from standard BCC models and those of Ramon and colleagues. …”
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NMS-KSD: Efficient Knowledge Distillation for Dense Object Detection via Non-Maximum Suppression and Feature Storage by Suho Son, Byung Cheol Song

“…To solve this inefficiency in image classification, Fast Knowledge Distillation (FKD) was proposed, which stores the teacher model’s knowledge in advance and then uses it in the distillation process. …”
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The Predictive Role of Maladaptive Schemas in Chronic Pain of Adolescents by Saghar Salari, Maryam Shaygan, Giti Setoodeh, Parvin Ghaemmaghami

“…Background: Chronic pain is a prevalent issue among adolescents, negatively impacting various aspects of their lives.  …”
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Mechanical Fault Diagnosis Method of a Disconnector Based on Improved Dung Beetle Optimizer–Multivariate Variational Mode Decomposition and Convolutional Neural Network–Bidirection... by Chi Zhang, Hongzhong Ma, Wei Sun

“…Finally, this matrix was input to convolutional neural network–bidirectional long short-term memory for fault classification. The verification of the experimental data shows that the proposed algorithm can successfully diagnose different mechanical faults of the disconnector, and the accuracy rate was 96.67%. …”
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Enhancing SMOTE for imbalanced data with abnormal minority instances by Surani Matharaarachchi, Mike Domaratzki, Saman Muthukumarana

“…This manuscript addresses this critical issue by introducing four SMOTE extensions: Distance ExtSMOTE, Dirichlet ExtSMOTE, FCRP SMOTE, and BGMM SMOTE. …”
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A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data by Wenbo Xuan, Pengchao Chen, Rui Li, Fuxiang Wang, Kuan Fu, Zhitao Wen

“…Abstract In response to the issue of massive data volume generated by magnetic flux leakage (MFL) non-destructive testing in oil and gas pipelines, an intelligent data compression method based on a targeted one-dimensional fully convolutional autoencoder network is proposed. …”
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Development Of A Vision- based Anti-drone Identification Friend Or Foe Model To Recognize Birds And Drones Using Deep Learning by Yasmine Ghazlane, Maha Gmira, Hicham Medromi

“…Another contribution of this work is the study of the impact of depth on the classification performance, which is demonstrated through our experiments. …”
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YOLOv8-UCB: Visual Detection of Pouch Battery Using Improved YOLOv8 by Hao Hao, Xiang Yu

“…Finally, we replaced the loss function with Slide Loss to address the issue of sample classification imbalance. The experimental results indicate that the improved algorithm achieved significant increases in precision, recall, mAP@0.5 and mAP@0.5:0.95, with improvements of 11.7%, 8.2%, 8.9% and 6.5% respectively, over the baseline model. …”
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Epilepsy in Children with Cerebral Palsy by Kornelia Kaźmierkiewicz, Martyna Chojnacka, Weronika Spychalska, Emilia Piotrowicz

“…This article presents the epidemiology, pathophysiology, seizure classification, diagnosis, and treatment of epilepsy in patients with CP. …”
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