Beyond the outbreak: a review of big data analytics in proactive infectious disease prevention for risk mitigation for COVID-19 by Nurun Nuha, Sakinah Ali Pitchay, Azni Haslizan Ab Halim, Murtadha Arif Bin Sahbudin, Ilfita Sahbudin

“…BDA supports infectious disease control by processing diverse healthcare data and leveraging technologies like IoT and social media to enhance diagnosis, clinical decision-making, and surveillance. …”
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Scalable and Efficient Multi-Class Brain Tumor Classification with a Compact Hybrid Deep Learning Model for Real-Time Applications by Sohaib R. Awad, Amar I. Daood, Akram A. Dawood

“… Medical diagnostics require brain tumor classification to operate in real-time so the task demands accurate results with efficient processing abilities. A new hybrid deep learning solution merges convolutional neural networks (CNNs) with support vector machines (SVMs) to improve classification results as this paper describes. …”
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Insights into the evolution and regulation of miRNAs from the view of their DNA replication temporal domains by Xudong Wu, Tingting Liu

“…We comprehensively examined the multiple molecular features including the secondary structural properties, the genomic sequences surrounding the pre-miRNA loci, the Dicer processing motifs, and CAGE tag-based promoters and miRNAs expression profiles. …”
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Bidimensional Increment Entropy for Texture Analysis: Theoretical Validation and Application to Colon Cancer Images by Muqaddas Abid, Muhammad Suzuri Hitam, Rozniza Ali, Hamed Azami, Anne Humeau-Heurtier

“…To further validate our results, we employ a support vector machine model, utilizing multiscale entropy values as feature inputs. …”
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Identification of potential shared core biomarkers in type 2 diabetes and sarcopenia by Ping Zhang, Yijun Du, Xing Zhong, Yue Wang, Tianrong Pan

“…Key modules in each condition highlighted 30 shared genes, which were enriched in biological processes and pathways related to metabolic and immune functions. …”
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Synthetic Data-Enhanced Classification of Prevalent Osteoporotic Fractures Using Dual-Energy X-Ray Absorptiometry-Based Geometric and Material Parameters by Luca Quagliato, Jiin Seo, Jiheun Hong, Taeyong Lee, Yoon-Sok Chung

“…To model the association of the bone’s current health status with prevalent FXs, three prediction algorithms—extreme gradient boosting (XGB), support vector machine, and multilayer perceptron—were trained using two-dimensional dual-energy X-ray absorptiometry (2D-DXA) analysis results and subsequently benchmarked. …”
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The Institution of Mediation in the Legislation of the Republic of Kazakhstan: Prospects for Regional Adaptation by N. S. Chimarov, S. Yu. Chimarov

“…Using the example of a legal system integrated into the single social and economic space of the EAEU, but nevertheless differing in content from Russian legislation, to determine a promising vector for the development of the region (and thus the domestic regulatory framework) in matters of mediation.Tasks. …”
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Construction exploration and application prospect of the large model in mining industry by Haijun WANG

“…Based on this, this paper sorts out the development status of generative large model technology, expounds the application status and effectiveness of large model technology in multiple fields, introduces the key technologies of industry large model such as data processing (cleaning, balancing, enhancement, etc.), text tokenization, pre-training and fine-tuning, prompt word optimization, vector embedding, alignment, retrieval enhancement generation and other large model technologies, and demonstrates that the industry large model inherits the advantages of the general large model of “general” and at the same time has the characteristics of “specialization”. …”
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Leveraging deep learning technology for enhancing printing press quality by Omotunde Alabi Muyiwa, B.H. Adejumo

“…Six-hundred images of newspaper were loaded in pyCharm programmed environment for data exploration, cleaning, pre-processing, augmentation, while MATPLOT library analysed visual characteristics of loaded random sample image-dataset. …”
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A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers by Mehtab Ur Rahman, Cem Direkoglu

“…Abstract Recent advances in artificial intelligence-based audio and speech processing have increasingly focused on the binary and multi-class classification of voice disorders. …”
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AI-Driven Identification of Grapevine Fungal Spores via Microscopic Imaging and Feature Optimization with Cuckoo Search Algorithm by Xin Shi, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…A support vector machine (SVM) classifier achieved 97.5% overall accuracy after preprocessing, a substantial improvement over the initial 81.25% without image preprocessing. …”
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Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

“…Recent advances in machine learning (ML) have revolutionized the field of microplastic research by automating and enhancing detection processes. In particular, algorithms such as support vector machines, random forests, and convolutional neural networks have demonstrated considerable success in classifying microplastics based on chemical signatures and visual characteristics. …”
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Development of Fast Analytical Method for the Detection and Quantification of Honey Adulteration Using Vibrational Spectroscopy and Chemometrics Tools by Omar Elhamdaoui, Aimen El Orche, Amine Cheikh, Brahim Mojemmi, Rachid Nejjari, Mustapha Bouatia

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Elastic net with Bayesian Density Estimation model for feature selection for photovoltaic energy prediction by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…Considering comprehensive data preliminary processing, FS, and validation, ELNET-BDE outperforms existing methods. …”
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Analysis of mathematical describe the interaction cutter working body develops environment by V. N. Kuznetsova, N. A. Kiryushkinа

“…Various methods of calculating the parameters of the milling process, the scheme vectors of the forces acting on the tooth cutter with a head and a tail milling, one-dimensional model of the oscillating system for single-tooth cutter, which operates on the cutting force. …”
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Prediction of Selenium-Enriched Crop Zones in Xiaoyan Town Using Fuzzy Logic and Machine Learning Approaches by Jiacheng Li, Shuyun Xie, Wenbing Yang, Weihang Zhou, Emmanuel John M. Carranza, Weiji Wen, Hongtao Shi

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THE COMPUTER-AIDED CONTROLLING OF TECHNICAL AND TECHNOLOGICAL PLANTS IN THE WAVELET MEDIUM by Fedosenkov D.B., Tokarev S.V., Simikova A.A., Iskhakov R.R., Fedosenkov B.A.

“…The distribution is able to present in the most optimal form different singularities of multidosing processes and with its help to control their dynamics. …”
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The future of critical care: AI-powered mortality prediction for acute variceal gastrointestinal bleeding and acute non-variceal gastrointestinal bleeding patients by Zhou Liu, Guijun Jiang, Liang Zhang, Palpasa Shrestha, Yugang Hu, Yi Zhu, Guang Li, Yuanguo Xiong, Liying Zhan

“…Meanwhile, SHAP waterfall outputs the model prediction process with true positive and negative patients. …”
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Advancing West Nile virus monitoring through whole genome sequencing: Insights from a One Health genomic surveillance study in Romagna (Italy) by Martina Brandolini, Alessandra Mistral De Pascali, Irene Zaghi, Giorgio Dirani, Silvia Zannoli, Ludovica Ingletto, Antonio Lavazza, Davide Lelli, Michele Dottori, Mattia Calzolari, Massimiliano Guerra, Carlo Biagetti, Francesco Cristini, Paolo Bassi, Rino Biguzzi, Monica Cricca, Alessandra Scagliarini, Vittorio Sambri

“…Whole genome sequencing (WGS) analyses confirmed the circulation of WNV lineage 2 showing high nucleotide and amino acid identity of 99.82 % and 99.92 % respectively among viral sequences from human patients, vectors and birds. All the sequences clustered with other Italian strains in the Central and Southern European clade with robust bootstrap support and BLASTn identity exceeding 99.7 %. …”
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Characterization of FosA13, a novel fosfomycin glutathione transferase identified in a Morganella morganii isolate from poultry by Runzhi Zhang, Runzhi Zhang, Yan Yu, Yan Yu, Lulu Huang, Susu Chen, Ruxi Hu, Xiuxiu Wang, Dawei Huang, Chunhan Song, Junwan Lu, Qiyu Bao, Qiyu Bao, Qiyu Bao, Qiyu Bao, Yunliang Hu, Pengfei Jiang, Wei Pan

“…The FosA13 protein encoded by the novel resistance gene fosA13 was expressed with the vector pCold I, and its enzyme kinetics parameters were characterized. …”
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