Research on Fault Diagnosis Method for Rotating Machinery Based on Edge Computing by Mo Chen, Chao Ge, Qirui Yang, Zhe Wei

“…This research constructs an edge node that integrates signal acquisition, data preprocessing, feature extraction, and fault diagnosis classification to accurately and in real-time identify the fault status of equipment. …”
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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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The Research of the Evolution and Dialectical Development of the Balance Sheet`s Structure and Contents in Russia by LIDIYA I. Kulikova, LEISAN R. Adgamova

“…The article deals with a wide range of issues: changes of balance sheet`s contents with the development of economics, the order of arranging the items, balance sheet`s items evaluation, the balance sheet`s classification depending on the purpose of its preparation, necessity of forming the indicators of a balance sheet for public presentation. …”
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Modern Capacities, Methods, and Means of Forensic Construction Investigations by A. Yu. Butyrin, E. B. Stativa

“…The article considers the issues of applying specific research methods in forensic construction examinations. …”
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Human, almost human: how many human species are there? by Thierry Hoquet

“…On the metaphysical aspect, we start with the work of Linnaeus and Buffon to explore the issues that arise when we assume that the word "human" designates not a species but a genus, and that this genus includes more than one species. …”
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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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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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The relationship between ethics and Fiqh from the perspective of Allameh Javadi Amoli; Criticism and Study of the Theory of Ethics-Based Fiqh by Morteza Zamiri, Mostafa Zamiri, Hamidreza Aali

“…Discovering the relationship between the sciences of ethics and jurisprudence creates the basis for the correct classification of the two and the exploitation of each. …”
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Regulation of local self-government bodies powers in health care by O. V. Batryn

“…The article is devoted to the issues of legal regulation of the powers of local self-government bodies in health care. …”
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Methodical Approach to Developing a Risk Management System of Risks for the Development of the Russian Stock Market by E. N. Alifanova, T. V. Maniakhin

“…During the study, mainly methods of analysis and synthesis, classification, induction and deduction were used. Based on the results of the study, the authorized government bodies were recommended to implement a unified methodological approach to risk management for all involved parties for the development of the national stock market, taking into account the different goals of different participants. …”
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Explicit and Implicit Knowledge in Large-Scale Linguistic Data and Digital Footprints from Social Networks by Maria Pilgun

“…Explicit knowledge analysis is more predictable and suitable for tasks requiring quantitative assessments or classification of explicit data, while implicit knowledge analysis complements it by enabling a deeper understanding of subtle emotional and contextual nuances, particularly relevant for public opinion research, social well-being assessment, and predictive analytics. …”
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ENSEMBLE RESAMPLING SUPPORT VECTOR MACHINE, MULTINOMIAL REGRESSION TO MULTICLASS IMBALANCED DATA by Laila Qadrini, Hikmah Hikmah, Elviani Tande, Ignasius Presda, Aulia Atika Maghfirah, Nilawati Nilawati, Handayani Handayani

“…Imbalanced data is a commonly encountered issue in classification analysis. This issue gives rise to prediction errors in the classification process, which in turn affects the sensitivity, particularly in the minority class. …”
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An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

“…This method helps to reduce the feature dimensionality and overfitting issues. In order to improve the optimization algorithm’s searching ability, an X-shaped transfer function is used. …”
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MSTD: A Multi-Scale Transformer-Based Method to Diagnose Benign and Malignant Lung Nodules by Xiaoyu Zhao, Jiao Li, Man Qi, Xuxin Chen, Wei Chen, Yongqun Li, Qi Liu, Jiajia Tang, Zhihai Han, Chunyang Zhang

“…Unlike conventional vision transformers, our MSTF can simultaneously extract attention-based features from the spatial dimensions at different scales to enhance the accuracy of classification of lung nodules. We conducted extensive ablation experiments on multi-scale structures and transformer-based methods of fusion to explore the impact of features obtained at different scales on the accuracy of classification of lung nodules. …”
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Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network–Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey by Pichsinee Choomung, Yupeng He, Masaaki Matsunaga, Kenji Sakuma, Taro Kishi, Yuanying Li, Shinichi Tanihara, Nakao Iwata, Atsuhiko Ota

“…These approaches are likely to underestimate the true prevalence owing to stigma, poor insight, or lack of access to health care among respondents. To address these issues, we previously developed an artificial neural network (ANN)–based schizophrenia classification model (SZ classifier) using data from a large-scale Japanese web-based survey to enhance the comprehensiveness of schizophrenia case identification in the general population. …”
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Eyes on nature: Embedded vision cameras for terrestrial biodiversity monitoring by Kevin F. A. Darras, Marcel Balle, Wenxiu Xu, Yang Yan, Vincent G. Zakka, Manuel Toledo‐Hernández, Dong Sheng, Wei Lin, Boyu Zhang, Zhenzhong Lan, Li Fupeng, Thomas C. Wanger

“…Our camera uses interchangeable lenses to resolve barely visible and remote targets, as well as customisable algorithms for blob detection, region‐of‐interest classification and object detection to automatically identify them. …”
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Understanding how gene-disease relationships can impact clinical utility: adaptations and challenges in hereditary cancer testing by Jennifer Herrera-Mullar, Carolyn Horton, Amybeth Weaver, Meghan Towne, Jennifer M. Huang, Grace E. VanNoy, Steven M. Harrison, Bess Wayburn

“…There is insufficient data showing how gene-disease validity (GDV) scores of HCP genes affect variant classification and how GDV scores change over time. Though these issues determine the results of HCP-MGPT, their impact on short- and long-term clinical utility has not been explored in-depth. …”
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Hybrid Big Bang-Big crunch with cuckoo search for feature selection in credit card fraud detection by Mohd Shukri Ab Yajid, Nilesh Bhosle, Gadug Sudhamsu, Ali Khatibi, Sahil Sharma, Rubal Jeet, R. Sivaranjani, A. Bhowmik, A. Johnson Santhosh

“…To address the aforementioned issues, the current work has presented a novel hybrid Big Bang-Big crunch with cuckoo search (HB3C2S) method for feature selection prior to performing the classification process. …”
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Survey of Navigational Perception Sensors’ Security in Autonomous Vehicles by Abhijeet Solanki, Wesam Al Amiri, Marim Mahmoud, Blaine Swieder, Syed Rafay Hasan, Terry N. Guo

“…We also introduce a detailed classification of sensor vulnerabilities, categorize the attacks that exploit these vulnerabilities, and critically assess existing countermeasures and defense mechanisms. …”
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PF-PSS: a double-layer parallel embedded feature selection method for cancer gene expression data by Yu-Wei Song, Jie-Sheng Wang, Yu-Liang Qi, Yu-Cai Wang, Shi Li, Hao-Ming Song, Yi-Peng Shang-Guan

“…In the vast majority of cases, the proposed method demonstrates excellent performance in terms of classification accuracy and feature quantity selection. …”
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