Multi-Class Road Marker Detection on Rainy Days Using Deep Learning Approach by Muhammad Syazwan Bin Mohd Yusof, Hadhrami Ab Ghani

“…In regions like Southeast Asia, characterized by high rainfall, the challenge of detecting lane markers is exacerbated by blurred markings and road surface issues such as potholes. This research addresses the problem of multi-class lane marker detection under rainy conditions, essential for ADASs to maintain safe and compliant vehicle operations. …”
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WIRELESS OPTICAL COMMUNICATION TECHNOLOGIES IN 5G AND 6G NETWORK INFRASTRUCTURE: PROBLEMS AND SOLUTIONS by Javid J. Aghashov, Tabriz J. Aghashov

“…The issues raised in this work are explored and summarized. …”
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Review of Conductive Reciprocating Liquid Metal Magnetohydrodynamic Generators by Lingzhi Zhao, Aiwu Peng

“…On this basis, technical key points and issues in the current research of CRLMMHD generators are elaborated. …”
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A novel blockchain technology-based supply chain coordination considering classified after-sales services of electronic products by Xiaoqing Huang, Rui Chen, Yanhong Wan, Haiping Ren

“…Based on this, blockchain technology is introduced into the supply chain model to further analyze the decision-making and coordination issues of the supply chain in its application scenarios. …”
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Optimizer Evaluation for Maize Leaf Disease Using Transfer Learning with MobileNetV3-Small by Dhea Fesa Athallah, Thomas Budiman, Anton Zulkarnain Sianipar

“…This study aims to address these issues by evaluating the performance of different optimizers in classifying maize leaf disease using transfer learning with the MobileNetV3-Small architecture. …”
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AI-enabled OSA screening using EEG data analysis and English listening comprehension insights by Zhihong Gu, Yanbing Fan

“…Traditional approaches in OSA screening often rely on polysomnography, which, despite its high accuracy, suffers from limited accessibility, cost, and patient comfort issues. Furthermore, these methods rarely incorporate insights from cognitive and auditory processing frameworks that could deepen diagnostic precision.MethodsTo address these gaps, we propose an AI-enabled screening methodology that utilizes EEG signals in conjunction with insights from English listening comprehension models. …”
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LDC-GAT: A Lyapunov-Stable Graph Attention Network with Dynamic Filtering and Constraint-Aware Optimization by Liping Chen, Hongji Zhu, Shuguang Han

“…Experiments on six benchmark datasets show that LDC-GAT outperforms GAT by 10.54% in classification accuracy, which demonstrates strong robustness on heterophilic graphs.…”
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An Intelligent Diagnosis and Fault Detection Model Based on Fuzzy Logic for Photovoltaic Panels by Marah Bacha, Amel Terki, Rabiaa Houili

“…Upon examination of the simulation outcomes, it becomes evident that the threshold method fails to identify all faults, necessitating the adoption of a more effective classification technique. Moreover, the Fuzzy Logic (FL) method has proven to be the most suitable approach for diagnosing PV module issues. …”
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The ambulatory practice of the conservative therapy of knee joint osteoarthrosis by O. A. Kaplunov, K. O. Kaplunov, E. Yu. Nekrasov

“…The study discusses issues of the validity and efficacy of the proposed scheme of conservative treatment of clinically significant stages of osteoarthritis of the knee joint (II-III degree classification Kellgren – Lawrence), including a combined administration of drugs from different pharmacological groups: non-steroidal anti-inflammatory drug aceclofenac, a derivative of hyaluronic acid and cartilage chondroitin sulfate. …”
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Profitability Indicators: Critical Analysis and Applicability in Modern Conditions by S. A. Bondarenko, S. V. Pupentsova

“…The research applied the methods of analysis, comparison, synthesis, classification, collection and generalization, logic, graphical and tabular display of information. …”
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A Community-Based Cross-Sectional Study of Indoor Air Pollution and Its Mental Health Implications Among Rural Households by Sreedhara Aditya Sarma, Pradeep TS

“…Conclusion: The present study adds to the small but growing evidence indicating that exposure to indoor air pollution can be associated with mental health issues like Anxiety and Depression. …”
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Analysis of different forms of modern Salafism: focusing on the concept of Monotheism of Sovereignty by Jamal Gavili kilaneh, reza khorasani

“…Following Salaf Saleh is the motto of many Sunni Islamic groups in the present era. Emphasizing the issues of polytheism and its examples, monotheism and how to achieve it, as well as fighting heresies in Islamic society are considered to be the most important goals of these Salafist groups. …”
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DDFAV: Remote Sensing Large Vision Language Models Dataset and Evaluation Benchmark by Haodong Li, Xiaofeng Zhang, Haicheng Qu

“…Finally, we develop a closed binary classification polling evaluation method, RSPOPE, specifically designed to evaluate hallucinations in remote sensing LVLMs or MLLMs visual question-answering tasks. …”
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Influence of Climate Change in Implementation of Village Land Use Plans in Dodoma, Tanzania by Frida Fredrick Francis, Yasin Hassan Senkondo

“…Results show that the developed land use plans were not informed by indigenous knowledge, land capability classification and climate threats facing the village. …”
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Main directions of economic reintegration process of Sevastopol and Crimea into the Russian Federation by N. V. Alesina, B. A. Bukach, E. A. Posnaya

“…Until now, regulation of some issues of integration into the economic, financial, and legal system of the Russian Federation has been carried out. …”
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Assessment of oral health status and treatment needs among visually impaired children in Vadodara city: An observational study by Charmi Shah, Seema Bargale, Bhavna Dave, Anshula N Deshpande, K. S. Poonacha, Pratik B Kariya

“…Neglecting oral health can lead to a myriad of issues such as dental caries, gum disease, traumatic dental injuries (TDI), and even systemic health problems. …”
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Effects of acute and chronic exercise on working memory in healthy adults. An experimental investigation by Eva Borrega-Alonso, F. Javier Otamendi

“…IntroductionWorking memory is critical for optimal development of academic and occupational functions, and its deterioration is associated with mental health issues. Exercise-based interventions have emerged as a prominent strategy to enhance cognitive functions and improve mental health. …”
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Financiarisation et classes sociales : introduction au dossier by Benjamin Lemoine, Quentin Ravelli

“…We analyze the dynamics of construction – the work of social classification and « taxonomic surgery » – but also the social games of consolidation and destabilization of these groups. …”
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Research on multi-user identity recognition based on Wi-Fi sensing by Zhongcheng WEI, Wei CHEN, Yanhu DONG, Bin LIAN, Wei WANG, Jijun ZHAO

“…With the advancement of wireless sensing technology, research on Wi-Fi-based identity recognition has garnered significant attention in fields such as human-computer interaction and home security.While identity recognition based on Wi-Fi signals has achieved initial success, it is currently primarily suitable for scenarios involving individual user behavior.Identity recognition for multiple users in concurrent behavior scenarios still faces a series of challenges, including issues related to mutual interference between users and poor model robustness.Therefore, a Wiblack system for recognizing multiple user identities in a concurrent distribution behavior scenario was proposed.The core idea was to train a multi-branch deep neural network (Wiblack-Net) to extract unique features for each individual user.Firstly, the common features among multiple users were extracted using the backbone network.Then, a binary classifier was assigned to each user to determine the presence of the target user within a given group, thereby achieving identity recognition for multiple users based on concurrent behavior.In addition, experiments comparing Wiblack with several independent binary classification models and a single multiclassification model were conducted to analyze operational efficiency.System performance experimental results demonstrate that when simultaneously identifying the identities of three users, Wibalck achieves an average accuracy of 92.97%, an average precision of 93.71%, an average recall of 93.24%, and an average F1 score of 92.43%.…”
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Professor A. M. Seagal is one of the first Russian cardiologists and arrhythmologists by L. M. Makarov

“…In addition to numerous works on various issues of therapy and cardiology, he is the author of apparently the first Russian monograph on arrhythmology, "Rhythms of Cardiac Activity and Their Disorders," entirely devoted to cardiac arrhythmias and which went through two editions in Soviet times (1935 and 1958). …”
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