Transgenic plants as a model for studying еpigenetic regulation of gene expression by T. V. Marenkova, E. V. Deineko

“…The study of this phenomenon revealed dependence of the frequency of gene silencing on the number of integrated copies in the plant genome, the properties of the transgene sequence itself (the presence of duplications, vector sequences, and others), chromosomal position. …”
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Target Tactical Intention Recognition in Multiaircraft Cooperative Air Combat by Meng Guanglei, Zhao Runnan, Wang Biao, Zhou Mingzhe, Wang Yu, Liang Xiao

“…Specifically, we employ support vector machine (SVM) to forecast the attack intention based on 19 low correlation features. …”
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Gene expression in soft-shell clam (Mya arenaria) transmissible cancer reveals survival mechanisms during host infection and seawater transfer. by Samuel F M Hart, Fiona E S Garrett, Jesse S Kerr, Michael J Metzger

“…We observed upregulation of genes involved with genotoxic stress response, ribosome biogenesis and RNA processing, and downregulation of genes involved in tumor suppression, cell adhesion, and immune response. …”
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Representations of Resilience in the Conceptual Field of Psychology by I.S. Bulanova, A.M. Dvoinin, V.K. Dvoinina

“…The article suggests the grounds for systematization of ideas about resilience, which make it possible to capture integrative processes and development trends in them. For this purpose, the method of deductive systematization was used, as well as conceptual analysis. …”
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Filament Type Recognition for Additive Manufacturing Using a Spectroscopy Sensor and Machine Learning by Gorkem Anil Al, Uriel Martinez-Hernandez

“…This study presents a novel approach for filament recognition in fused filament fabrication (FFF) processes using a multi-spectral spectroscopy sensor module combined with machine learning techniques. …”
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Flexible Visible Spectral Sensing for Chilling Injuries in Mango Storage by Longgang Ma, Zhengzhong Wan, Zhencan Yang, Xunjun Chen, Ruihua Zhang, Maoyuan Yin, Xinqing Xiao

“…After Z-Score standardization processing, the prediction accuracy of the SVM (Support Vector Machine) model reached 95.5%. …”
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A hybrid approach to financial big data analysis using extended ensemble learning and optimized spark streaming by Muhammad Babar

“…The financial sector faces mounting challenges in processing vast volumes of high-velocity data to support intelligent, real-time decision-making. …”
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An Effective and Fast Model for Characterization of Cardiac Arrhythmia and Congestive Heart Failure by Salim Lahmiri, Stelios Bekiros

“…The latter achieved highest accuracy under ten-fold cross-validation in comparison to Naïve Bayes (NB) and nonlinear support vector machine (SVM). The kNN yielded 97% accuracy, 99% sensitivity, 90% specificity and 0.63 s processing time when classifying ARR against NS, and it yielded 99% accuracy, 99.7% sensitivity, and 99.2% specificity, and 0.27 seconds processing time when classifying HCF against NS. …”
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Organizing the laboratory testing procedures in ischemic stroke patients by Olga V. Lyang, Yulia V. Novozhenova, Irina A. Zhirova

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Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…Therefore, in order to improve the accuracy and stability of quantitative analysis, different methods are used to pre-process the data. For different pre-processing methods, the R2 values of four elements in six types of rock samples are mostly greater than 0.90, as shown in Table 2. …”
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Intelligent System for Reducing Waste and Enhancing Efficiency in Copper Production Using Machine Learning by Bagdaulet Kenzhaliyev, Timur Imankulov, Aksultan Mukhanbet, Sergey Kvyatkovskiy, Maral Dyussebekova, Nurdaulet Tasmurzayev

“…Five ML algorithms were evaluated, with Gradient Boosting and Support Vector Regression demonstrating superior performance in capturing complex, non-linear relationships. …”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

“…In recent days, Internet of Medical Things (IoMT) and Deep Learning (DL) techniques are broadly used in medical data processing in decision-making. A lung tumour, one of the most dangerous medical diseases, requires early diagnosis with a higher precision rate. …”
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Investigating the Triple Code Model in numerical cognition using stereotactic electroencephalography. by Alexander P Rockhill, Hao Tan, Christian G Lopez Ramos, Caleb Nerison, Beck Shafie, Maryam N Shahin, Adeline Fecker, Mostafa Ismail, Daniel R Cleary, Kelly L Collins, Ahmed M Raslan

“…According to the "Triple Code Model" in numerical cognition, distinct neural substrates encode the processing of visual, auditory, and non-symbolic numerical representations. …”
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An Efficient and Fast Model Reduced Kernel KNN for Human Activity Recognition by Zongying Liu, Shaoxi Li, Jiangling Hao, Jingfeng Hu, Mingyang Pan

“…Many classic machine learning algorithms, such as artificial neural network, feed forward neural network, K-nearest neighbors, and support vector machine, achieve good performance for detecting human activity. …”
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Real-time fMRI pattern decoding and neurofeedback using FRIEND: an FSL-integrated BCI toolbox. by João R Sato, Rodrigo Basilio, Fernando F Paiva, Griselda J Garrido, Ivanei E Bramati, Patricia Bado, Fernanda Tovar-Moll, Roland Zahn, Jorge Moll

“…FRIEND is open-source and free for non-commercial use. Processing tutorials and extensive documentation are available.…”
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Application research and effectiveness evaluation mechanism of hybrid intelligent algorithm integrating cognitive computing and deep learning for dynamically adjusting employee per... by Zhenlin Luo, Kebin Lu

“…Simultaneously, hybrid intelligent algorithms outperform support vector machines (SVM) in terms of response speed, with a 61.9% reduction in response time compared to SVM, highlighting their advantages in processing large-scale datasets. …”
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A diagnostic system for detecting COVID-19 patients depending on lexicon semantic and Biterm Topic Model-Based Feature Selection on WhatsApp Messages Classification by Raghad Hatem, Noor Hussein Eliwe

“…The system processes WhatsApp messages through multiple stages: initial data collection, Word2Vec embedding, lexicon semantic enhancement, vector-space model creation, Biterm Topic Model-based feature selection, and finally, Naive Bayes classification. …”
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PolyReg: Autoregressive Building Outline Regularization via Masked Attention Sequence Generation by Longfei Cui, Chao Li, Xin Chen, Xiao Wang, Haizhong Qian

“…Automatically extracting regularized building outline polygon vectors is crucial for improving vector mapping efficiency and geographic information system applications, but existing deep learning methods struggle to simultaneously achieve accurate detection, high pixel-level coverage, and geometric regularity. …”
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Optimized Identity Authentication via Channel State Information for Two-Factor User Verification in Information Systems by Chuangeng Tian, Fanjia Li, Xiaomeng Liu, Juanjuan Li

“…For classification, a kernel support vector machine (SVM) model is trained using a randomized hyperparameter search algorithm. …”
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Development and correctness analysis of the mathematical model of transport and suspension sedimentation depending on bottom relief variation by A. I. Sukhinov, V. V. Sidoryakina

“…The model considers the following processes: advective transfer caused by the aquatic medium motion, micro-turbulent diffusion, and gravity sedimentation of suspended particles, as well as the bottom geometry variation caused by the particle settling or bottom sediment rising. …”
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