IoT enabled health monitoring system using rider optimization algorithm and joint process estimation by J. Prabin Jose, G. Jaffino, Mohammed Al Awadh, Koppula Srinivas Rao, Yan Yafang, Krishna Moorthy Sivalingam

“…In order to ensure consistency, the sensed features are subjected to a standardization process, ensuring they are scaled uniformly. In this work joint process estimator rider optimization algorithm (JPEROA) for Deep stack auto-encoder is proposed to perform the classification task. …”
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Development of Automated Image Processing for High-Throughput Screening of Potential Anti-Chikungunya Virus Compounds by Pathaphon Wiriwithya, Siwaporn Boonyasuppayakorn, Pattadon Sawetpiyakul, Duangpron Peypala, Gridsada Phanomchoeng

“…This study presents the development and validation of an automated image processing algorithm designed to improve the accuracy and speed of high-throughput screening for potential anti-chikungunya virus compounds. …”
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Optimization of Injection-Molding Process Parameters for Weight Control: Converting Optimization Problem to Classification Problem by Peng Zhao, Zhengyang Dong, Jianfeng Zhang, Yi Zhang, Mingyi Cao, Zhou Zhu, Hongwei Zhou, Jianzhong Fu

“…The determination of process parameters for obtaining an accurate weight is therefore essential. …”
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Characteristics of the epidemic process of Lyme borreliosis in the Sverdlovsk district over a 20-year period by N. M. Kolyasnikova, L. G. Chistyakova, A. V. Ponomareva, A. E. Platonov, V. V. Romanenko, T. A. Chekanova, A. V. Titkov, A. A. Ishmukhametov, V. G. Akimkin

“…To characterize the epidemic process of LB in the territory of the Sverdlovsk district over a 20-year period (2002–2021).Materials and methods. …”
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CONCEPT OF THE PUBLIC GOODS REPRODUCTION IN ECONOMICS by M. Kichurchak

“…The essence of the concept public goods reproduction has found out and the most important theory-gnoseological vectors of this process research have formed. The author has analyzed the system of theoretical views on the economic entity of reproduction. …”
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Person identification using novel local triangular binary pattern-based texture descriptor by Arti Tekade, T. Vijayan, B. Karthik, Anurag Mahajan

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Retroviral integration process in the human genome: is it really non-random? A new statistical approach. by Alessandro Ambrosi, Claudia Cattoglio, Clelia Di Serio

“…Retroviral vectors are widely used in gene therapy to introduce therapeutic genes into patients' cells, since, once delivered to the nucleus, the genes of interest are stably inserted (integrated) into the target cell genome. …”
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Rupture Process of the Mw7.0 December 5, 2024 Offshore Cape Mendocino Earthquake by F. F. Pollitz, K. A. Guns, C. E. Yoon

“…In order to clarify the rupture process, we assemble three‐component seismograms from regional seismic stations, horizontal coseismic displacement vectors derived from Global Navigation Satellite System (GNSS) time series, and a Sentinel‐1 ascending interferogram. …”
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Medical Image Hybrid Watermark Algorithm Based on Frequency Domain Processing and Inception v3 by Yu Fan, Jingbing Li, Uzair Aslam Bhatti, Saqib Ali Nawaz, Yenwei Chen

“…Specifically, the algorithm first extracts feature vectors from medical images using discrete wavelet transform and discrete cosine transform, enhancing the robustness of the image watermark. …”
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The role of the aging process and related factor EMP1 in promoting progression of resectable pancreatic cancer by Junfeng Zhang, Jianyou Gu, Tao Zhang, Renpei Xia, Jianbo Li, Mingda Tan, Yongjun Yang, Jifeng Xiang, Bin Xie, Rong Tang, Wangge Li, Xianxing Wang, Shixiang Guo, Huaizhi Wang

“…We established a prognostic model pertinent to the aging process that could be applied in postoperative PC patients. …”
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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…The statistical characteristics of process data time series in the production process typically vary over time due to changes in production conditions, unknown external interference, load fluctuations, and other factors. …”
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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach by Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…The hybrid schema of this work treats the deficiencies of the previous approaches, such as incorporating CNN-based effective feature extraction, Transformer networks for developing attention mechanisms, and finally the fine decision boundary of the support vector machine. Further, we refine this process via unsupervised clustering for the purpose of enhancing the visualisation of such a procedure. …”
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Improved SVM for Fault Diagnosis of Main Converter of Locomotive by 钟燕科

“…Making use of wavelet analysis to process the output voltage, the fault feature had been extracted and the feature vector had been constructed. …”
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Identifying experts in the field of visual arts using oculomotor signals by Marcin Kolodziej, Andrzej Majkowski, Piotr Francuz, Remigiusz J. Rak, Paweł Augustynowicz

“…We used k-nearest neighbors (k-NN) and support vector machine (SVM) classifiers for classification process. …”
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Predicting Startup Success Using Machine Learning Approach by Icha Wahyu Kusuma Ningrum, Farid Ridho, Arie Wahyu Wijayanto

“…We carried out the classification using four methods: Random Forest, Support Vector Machines (SVM), Gradient Boosting, and K-Nearest Neighbor (KNN). …”
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Non-Vertical Well Trajectory Design Based on Multi-Objective Optimization by Xiaowei Li, Yu Li, Yang Wu, Zhaokai Hou, Haipeng Gu

“…The optimization and control of the wellbore trajectory is one of the important technologies to improve drilling efficiency, reduce drilling cost, and ensure drilling safety in the process of modern oil and gas exploration and development. …”
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Classification of Brain Tumors by Using a Hybrid CNN-SVM Model by Talitha Safa Nabila, Abu Salam

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The Application of Machine Learning Algorithms for Text Mining based on Sentiment Analysis Approach by Reza Samizade, Elnaz Mahmoudi Saeid Abad

“…Prior to implementing the algorithms, pre-processing activities such as tokenizing, removing stop words, and n-germs process were applied on the texts. …”
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THE OPTIMIZATION METHOD OF FUZZY AUTOMATIC CLASSIFICATION IN THE PROBLEM OF COMBINING THE ASSESSMENTS OF TRAJECTOR MEASUREMENTS IN THE RADAR SYSTEM by A. V. Khizhniak

“…The main reason for this is the difficulty in determining the values of the correlation matrices of errors in estimating the parameters of the state vector of air targets. The task becomes more complicated as the number of intermediate processing points increases when it is brought to the final consumer. …”
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Advancing Taxonomy with Machine Learning: A Hybrid Ensemble for Species and Genus Classification by Loris Nanni, Matteo De Gobbi, Roger De Almeida Matos Junior, Daniel Fusaro

“…Traditionally, classifying species has required taxonomic experts to carefully examine unique physical characteristics, a time-intensive and complex process. Machine learning offers a promising alternative by utilizing computational power to detect subtle distinctions more quickly and accurately. …”
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