FDC-TA-DSN Ship Classification Model and Dataset Construction Based on Complex-Valued SAR by Gui Gao, Yucong He, Jinghao Zhao, Sijie Li, Meixiang Wang, Gang Yang, Xi Zhang

“…Finally, the two kinds of information are formed into fusion features for learning to improve the classification accuracy. To support this investigation, a complex-valued SAR dataset ComplexSAR_Ship is constructed for the first time by using the two high-resolution modes of UFS and FSI of the Gaofen-3 satellite. …”
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Automated Classification of Exchange Information Requirements for Construction Projects Using Word2Vec and SVM by Ewelina Mitera-Kiełbasa, Krzysztof Zima

“…This paper focuses on automating the classification of EIR paragraphs according to the ISO 19650 standard’s categories, aiming to improve information management in construction projects. …”
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Construction and validation of a deep learning-based diagnostic model for segmentation and classification of diabetic foot by Guang-Xin Zhou, Yu-Kun Tao, Jin-Zheng Hou, Hui-Juan Zhu, Li Xiao, Na Zhao, Xiao-Wen Wang, Bao-Lin Du, Da Zhang

“…Three instance segmentation models (Mask2former, Deeplabv3plus, and Swin-Transformer) were constructed to identify DFU, and the segmentation and classification results of the three models were compared.ResultsAmong the three models, Mask2former exhibited the best recognition performance, with a mean Intersection over Union of 65%, surpassing Deeplabv3’s 62% and Swin-Transformer’s 52%. …”
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Schizoaffective disorder: the past and the future of hybrid construction by E. V. Snedkov, A. E. Veraksa, P. Y. Muchnik

“…The article argues for the discrepancy between the artificial construction of «schizoaffective disorder» (SAD) and the principles of nosological diagnostics. …”
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Performance improvement of extreme multi-label classification using K-way tree construction with parallel clustering algorithm by Purvi Prajapati, Amit Thakkar

“…eXtreme Multi-Label Classification (XMLC) is the particular case of Multi-Label Classification, which deals with an extremely high number of labels. …”
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Construction of Countably Infinite Programs That Evade Malware/Non-Malware Classification for Any Given Formal System by Vasiliki Liagkou, Panagiotis E. Nastou, Paul Spirakis, Yannis C. Stamatiou

“…In this paper, we complement Cohen’s approach by providing a simple generalization of his definition of a computer virus so as to model any type of malware behaviour and showing that the malware/non-malware classification problem is, again, undecidable. Most importantly, beyond Cohen’s work, our work provides a generic theoretical framework for studying anti-malware applications and identifying, at an early stage, before their deployment, several of their inherent vulnerabilities which may lead to the construction of zero-day exploits and malware strains with stealth properties. …”
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Constructing a Classification Model for Cervical Cancer Tumor Tissue and Normal Tissue Based on CT Radiomics by Jinghong Pei BD, Jing Yu BD, Ping Ge BD, Liman Bao BD, Haowen Pang MS, Huaiwen Zhang MS

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Mutual-Energy Inner Product Optimization Method for Constructing Feature Coordinates and Image Classification in Machine Learning by Yuanxiu Wang

“…As a key task in machine learning, data classification is essential to find a suitable coordinate system to represent the data features of different classes of samples. …”
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Constructing an artificial intelligence-assisted system for the assessment of gastroesophageal valve function based on the hill classification (with video) by Jian Chen, Ganhong Wang, Kaijian Xia, Zhenni Wang, Luojie Liu, Xiaodan Xu

“…Finally, the model achieved real-time automatic Hill classification at over 50fps on multiple platforms. Conclusion By employing deep learning to construct the EfficientNet-Hill AI model, automated Hill classification of GEFV morphology was achieved, aiding endoscopists in improving diagnostic efficiency and accuracy in endoscopic grading, and facilitating the integration of Hill classification into routine endoscopic reports and GERD assessments.…”
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Construction and application of a drought classification model for tea plantations based on multi-source remote sensing by Yang Xu, Yilin Mao, He Li, Xiaojiang Li, Litao Sun, Kai Fan, Zhipeng Li, Shuting Gong, Zhaotang Ding, Yu Wang

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Classification and application of deep learning in construction engineering and management – A systematic literature review and future innovations by Qingze Li, Yang Yang, Gang Yao, Fujia Wei, Rui Li, Mingtao Zhu, Huiwen Hou

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Le fonds Jean Lattes : une archive photographique en construction by Angelina Meslem, Wilfrid Eon, Clémentine Vialar

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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

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Development of statistical classifications to study the content and structure of the primary real estate market by D. V. Dianov, P. A. Smelov

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Construction features of scoring models based on DEDUCTOR analytical platform by Lagerev D.G., Bondareva I.V.

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Molecular classification and construction of the risk signature for diffuse large B-cell lymphoma based on vitamin B6 metabolism by Wen Wei, Dao Xin, Huawei Weng, Le Yu, Lingxi Jiang, Yuxin Man

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Optimizing IoT Intrusion Detection—A Graph Neural Network Approach with Attribute-Based Graph Construction by Tien Ngo, Jiao Yin, Yong-Feng Ge, Hua Wang

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INVESTIGATION OF DIGGING MACHINES FOR CONSTRUCTION BY THE “DIAPHRAGM WALL” METHOD by A. S. Kadyrov, B. K. Kurmasheva, Zh. Zh. Zhunusbekova, A. Zh. Karsakova

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AI-Based Performance Classification of Multi-Level System-of-Systems via Hypergraph Modeling by Jun Jiang, Abdeslem Smahi, Yiwen Chen, Othman Lakhal, Rochdi Merzouki

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Tourism Sentiment Chain Representation Model and Construction from Tourist Reviews by Bosen Li, Rui Li, Junhao Wang, Aihong Song

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