Mechanical Characterization and Chemical Identification of Clear Binders for Road Surface Courses by Andrea Grilli, Maurizio Bocci, Amedeo Virgili, Carla Conti

“…However, the selection and classification of clear binders are often based only on color and standard requirements referred to traditional bitumen that do not describe consistently the binder behavior. …”
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Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review by Jyotismita Chaki, S. Thillai Ganesh, S.K Cidham, S. Ananda Theertan

“…Also, three current research issues in the field of DM detection and diagnosis and self-management and personalization are listed. …”
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Entry point of machine learning in axial spondyloarthritis by Tiantian Sun, Qing Yu, Yuening Chen, Hongxiao Liu, Xinning Qu

“…Furthermore, the high heterogeneity of axSpA, its complex pathogenesis and the lack of specific drugs means that traditional classification standards and treatment guidelines struggle to meet the demands of personalised treatment. …”
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Enhanced Intrusion Detection Using Conditional-Tabular-Generative-Adversarial-Network-Augmented Data and a Convolutional Neural Network: A Robust Approach to Addressing Imbalanced... by Shridhar Allagi, Toralkar Pawan, Wai Yie Leong

“…Intrusion prevention and classification are common in the research field of cyber security. …”
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U-SCAD: An Unsupervised Method of System Call-Driven Anomaly Detection for Containerized Edge Clouds by Jiawei Ye, Ming Yan, Shenglin Wu, Jingxuan Tan, Jie Wu

“…While existing system call-based anomaly-detection methods partially address these issues, they suffer from high false positive rates and excessive computational overhead. …”
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Opportunities of digital health technologies for rheumatology: from clinics to quality and research by Michael Schirmer, Lukas Kampik, Johannes D. Pallua

“…The use of quality standards as proposed in international recommendations for diagnostic issues and classification criteria, management recommendations, monitoring, and training issues can be supported by digital technologies. …”
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Digital Twins for Smarter Iranian Cities: A Future Studies Perspective by Nader Zali, Ali Soltani, Peyman Najafi, Salima Ebadi Qajari, Mehrdad Mehrju

“…Using a futures studies approach, the study employs the Delphi method, MICMAC (Matrix Impact Cross-Reference Multiplication Applied to a Classification) technique, and SISMW (Strategic Uncertainties and Strengths Weaknesses Opportunities and Threats Matrix) methodologies to analyse these factors. …”
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Care guide for patients with class II malocclusion with actively growing permanent dentition by Félix Adjei Tannor, Olga Lidia Véliz Concepción, Waldo Pérez Garcia, Armando San Miguel Pentòn

“…The experts established the invariable elements for their classification. Finally, a care guide was designed for patients with class II malocclusion with actively growing permanent dentition, rated by specialists as excellent.…”
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Multi-physiological signal fusion for objective emotion recognition in educational human–computer interaction by Wanmeng Wu, Enling Zuo, Weiya Zhang, Xiangjie Meng

“…IntroductionAn increasing prevalence of psychological stress and emotional issues among higher education teachers necessitates innovative approaches to promote their wellbeing. …”
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Fractional Artificial Protozoa Optimization Enabled Deep Learning for Intrusion Detection and Mitigation in Cyber-Physical Systems by Shaik Abdul Rahim, Arun Manoharan

“…Therefore, a framework for intrusion detection and mitigation in CPS is developed to overcome the above issues using Fractional Artificial Protozoa Optimization enabled Spiking VGG-16 (FAPO Spiking VGG-16). …”
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A Bibliometric Analysis of Research on Human Settlements Improvement Based on CNKI and Web of Science by Chenxi Li, Jinfeng Miao, Xuan Zhai, Qiao Liu

“…The results show the following: (1) the research literature on human settlement environment improvement has undergone three stages of slow growth, steady growth, and explosive growth; (2) many countries and institutions have published research on the improvement of human settlement environment, forming a close cooperative relationship; (3) three research hotspots have been formed: the concept and classification of the human settlement environment, the improvement path of the human settlement environment, and the evaluation method of the human settlement environment; and (4) waste management and green space are the frontier issues in the field of human settlement environment improvement. …”
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Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning by I Nyoman Mahayasa Adiputra, Paweena Wanchai, Pei-Chun Lin

“…Background Imbalanced and overlapped data in customer churn prediction significantly impact classification results. Various sampling and hybrid sampling methods have demonstrated effectiveness in addressing these issues. …”
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The Genus <i>Clonostachys</i> (<i>Bionectria</i>) as a Potential Tool Against Agricultural Pest and Other Biotechnological Applications: A Review by Manuela Reyes-Estebanez, Pedro Mendoza-de Gives

“…There are still challenges and limitations, such as the continuous surveillance of the safety of <i>Clonostachys</i> species on plants, the establishment of commercial applications, formulation viability, and variability due to field conditions. These issues will have to be addressed. This review provides an overview of <i>Clonostachys</i> ecology, morphology, classification, and biotechnological applications, emphasizing its significance in various fields.…”
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Blockchain arbitration: roadmap to recognition and enforcement of arbitral award by Danrivanto Budhijanto, Prita Amalia, Naufal Ahmad Shiddiq

“…Its awards meet typical criteria: they arise from an agreement to arbitrate, are issued by a neutral decision-maker in a quasi-judicial role intended to deliver final, binding resolution. …”
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A Multivariable Index for Grading Exercise Gas Exchange Severity in Patients with Pulmonary Arterial Hypertension and Heart Failure by Chul-Ho Kim, Steve Anderson, Dean MacCarter, Bruce Johnson

“…However, use of gas exchange measures in day-to-day clinical practice is limited by several issues, including the large number of variables available and difficulty in data interpretation. …”
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Real-Time Image Processing Applications in Automatic BGA Inspection System by Chiung-Hsing Chen, Cheng-Chang Chiu, Shao-En Kao, Hsiang Li

“…This article primarily addresses issues in semiconductor manufacturing processes and improves the product yield rate in current production lines. …”
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Chinese Medical Named Entity Recognition Based on Context-Dependent Perception and Novel Memory Units by Yufeng Kang, Yang Yan, Wenbo Huang

“…The current methods have certain limitations in dealing with contextual dependencies and entity memory and fail to fully consider the contextual relevance and interactivity between entities. To address these issues, this paper proposes a Chinese medical named entity recognition model that combines contextual dependency perception and a new memory unit. …”
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The Development of a Lightweight DE-YOLO Model for Detecting Impurities and Broken Rice Grains by Zhenwei Liang, Xingyue Xu, Deyong Yang, Yanbin Liu

“…This model achieves correct recognition, classification, and detection of rice target crops with similar colors in complex environments. …”
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Methodology for Using Multi-Temporal Landsat Images to Monitor Urban Growth of Kirkuk Governorate by Tabark Y. Gehad, Nejat Q. Omer, Nada S. Abdulmajeed

“…The Kirkuk Governorate has experienced significant urban growth in recent years, causing various environmental, economic, and social issues. the study aims to monitor the growth of Kirkuk Governorate from 1990-2020 using multi-spectral Landsat images to better understand urban development. …”
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Navigating the Challenges and Opportunities of Tiny Deep Learning and Tiny Machine Learning in Lung Cancer Identification by Yasir Salam Abdulghafoor, Auns Qusai Al-Neami, Ahmed Faeq Hussein

“…More than 70 state-of-the-art articles (from 2019 to 2024) were extensively explored to highlight the different machine learning and deep learning (DL) techniques of different models used for the detection, classification, and prediction of cancerous lung tumors. …”
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