AUTOMATION OF LAW ENFORCEMENT: PROBLEMS AND SOLUTIONS USING MACHINE LEARNING AND MACHINE-READABLE LAW by PEREVOZKIN Andrey Andreevich

“…The purpose of the study is to analyse the theoretical possibility of automating the law enforcement process through the use of modern information technologies and new approaches to the formation of law. …”
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Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation by Ningning Qin, Chao Wang, Changxu Shan, Le Yang

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Therapeutic effects of cyclophosphamide, dsDNA preparations and combinations thereof against Krebs-2 ascites cancer cells and various cancer transplants by E. A. Potter, E. V. Dolgova, A. M. Minkevich, Ya. R. Efremov, O. S. Taranov, V. V. Omigov, V. P. Nikolin, N. A. Popova, A. S. Proskurina, E. I. Vereschagin, A. V. Kozel, V. A. Rogachev, D. B. Petrov, A. A. Ostanin, E. R. Chernykh, N. A. Kolchanov, S. S. Bogachev

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Models, systems, networks in economics, engineering, nature and society by A.A. Sapogov

“…As part of the work, multi-vector quality characteristics were established that reflect the state of the process of accepting a service request for processing, presenting them in the form of vectors of values with criterion indicators. …”

Ukraine-EU: economic integration strategy by Vitalina Babenko, Yana Biletska, Hanna Pelyak

“…The state and the prospects of the Ukraine’s economic integration into the EU were analyzed and the process of the Ukrainian foreign policy evolution in the European direction was studied. …”
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Implementation and Evaluation of Machine Learning Algorithms in Ball Bearing Fault Detection by Stepanić Pavle, Dučić Nedeljko, Vidaković Jelena, Baralić Jelena, Popović Marko

“…For each recorded vibration signal, a feature extraction was performed by digital processing in the time domain. The following ML algorithms were used to develop the classifier: K-nearest neighbor (KNN) and support vector machine (SVM) as well as improved versions of the aforementioned algorithms. …”
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Machine learning‐guided plasticity model in refractory high‐entropy alloys by Shang Zhao, Jinshan Li, Weijie Liao, Ruihao Yuan

“…Through feature selection techniques, a critical subset of features is identified, enabling a support vector classification model to achieve 96% prediction accuracy. …”
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Boundary-Value Problems for Weakly Nonlinear Delay Differential Systems by A. Boichuk, J. Diblík, D. Khusainov, M. Růžičková

“…The use of a delayed matrix exponential and a method of pseudoinverse by Moore-Penrose matrices led to an explicit and analytical form of sufficient conditions for the existence of solutions in a given space and, moreover, to the construction of an iterative process for finding the solutions of such problems in a general case when the number of boundary conditions (defined by a linear vector functional l) does not coincide with the number of unknowns in the differential system with a single delay.…”
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Real-time chiral dynamics at finite temperature from quantum simulation by Kazuki Ikeda, Zhong-Bo Kang, Dmitri E. Kharzeev, Wenyang Qian, Fanyi Zhao

“…By introducing a chiral chemical potential μ 5 through a quench process, we drive the system out of equilibrium and analyze the induced vector currents and their evolution over time. …”
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Identification and validation of TUBB, CLTA, and FBXL5 as potential diagnostic markers of postmenopausal osteoporosis by Yue Tan, Yujing Wang, Qin Zhu, Yan Xue, Xuhao Ji, Zhenkun Li, Jiawen Shen, Chengming Sun, Shiqi Ren, Chenlin Zhang, Jianfeng Chen

“…Additionally, we intersected the clusters to identify differentially expressed genes (DEGs) and analyzed potential diagnostic markers for PMOP using support vector machine recursive feature elimination (SVM-RFE), LASSO, and random forest (RF) algorithms, which were subsequently validated in the GSE56116 dataset. …”
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Exhaled volatile organic compounds as novel biomarkers for early detection of COPD, asthma, and PRISm: a cross-sectional study by Jiaxin Tian, Qiurui Zhang, Minhua Peng, Leixin Guo, Qianqian Zhao, Wei Lin, Sitong Chen, Xuefei Liu, Simin Xie, Wenxin Wu, Yijie Li, Junqi Wang, Jin Cao, Ping Wang, Min Zhou

“…Volatile organic compounds (VOCs) in breath can reflect the pathophysiological processes of disease, thereby having the potential to serve as a promising approach for diagnosing respiratory diseases. …”
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Bioinformatic identification of signature miRNAs associated with fetoplacental vascular dysfunction in gestational diabetes mellitus by Yulan Lu, Chunhong Liu, Xiaoxia Pang, Xinghong Chen, Chunfang Wang, Huatuo Huang

“…This study aims to identify signature miRNA genes involved in this process using bioinformatics analysis via multiple algorithms. …”
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The functions of DNA methyltransferases during the feeding and development of Haemaphysalis longicornis are potentially associated with lysosome pathways by Zhijun Yu, Tingwei Pei, Xinyue Shi, Chuks F. Nwanade, Ziyan Bing, Ziwen Gao, Jianglei Meng, Lu Li, Jingze Liu

“…RNA-seq revealed that the differentially expressed genes were mainly enriched in the biological processes of peptide biosynthesis and the cell components of ribosomes. …”
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From Barthel–Randers–Kropina Geometries to the Accelerating Universe: A Brief Review of Recent Advances in Finslerian Cosmology by Amine Bouali, Himanshu Chaudhary, Lehel Csillag, Rattanasak Hama, Tiberiu Harko, Sorin V. Sabau, Shahab Shahidi

“…Finsler geometry generalizes Riemannian geometry by allowing the metric tensor to depend not only on position but also on an additional internal degree of freedom, typically represented by a vector field at each point of the spacetime manifold. …”
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Automated image-based condition assessment of the built environment: A state-of-the-art investigation of damage characteristics and detection requirements by Leila Farahzadi, Ibrahim Odeh, Mahdi Kioumarsi, Behrouz Shafei

“…For the automated detection, localization, and measurement of damage, various convolutional neural network, support vector machine, and classification-based methods were examined, including their advantages and limitations. …”
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THE IMPACT OF ARTIFICIAL INTELLIGENCE IN MEDICAL BIOSTATISTICAL STUDIES: ARE THE STATISTICIANS NO LONGER NECESSARY? A LITERATURE REVIEW by Cristina-Gena Dascălu, Norin Forna, Andrei Georgescu, Claudiu Topoliceanu

“…AI techniques, such as deep learning, support vector machines, decision trees or clustering, expands upon traditional biostatistics to enable systematic processing of complex and high-dimensional unstructured biomedical datasets. …”
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Polarization Imaging Descattering Based on Dark Channel Prior Background Light Estimation by Jiarui Zhang, Yaxin Cai, Ming Fang

“…By integrating polarization imaging with the dark channel prior (DCP) and fully utilizing the polarization information from the Stokes vector and the DCP, the interference of the target information in calculating the background information can be effectively eliminated. …”
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Plastic Litter as Pollutant in the Aquatic Environment: A mini-review by Rifka Rimbi Anggraini, Yenny Risjani, Uun Yanuhar

“…Nowadays, the negative impact of plastic litter occurs on an ongoing basis through the food chain process which until now has not been well studied. …”
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Machine learning as a tool for diagnostic and prognostic research in coronary artery disease by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

“…Machine learning (ML) are the central tool of artificial intelligence, the use of which makes it possible to automate the processing and analysis of large data, reveal hidden or non-obvious patterns and learn a new knowledge. …”
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A Hybrid Deep Learning Paradigm for Robust Feature Extraction and Classification for Cataracts by Akshay Bhuvaneswari Ramakrishnan, Mukunth Madavan, R. Manikandan, Amir H. Gandomi

“…ABSTRACT The study suggests using a hybrid convolutional neural networks‐support vector machines architecture to extract reliable characteristics from medical images and classify them as an ensemble using four different models. …”
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