A scoping review and bibliometric analysis (ScoRBA) of machine learning in genetic data analysis: unveiling the transformative potential by Zakaria et al.

“…The important domains identified are Cancer Genomics, Bioinformatics, Precision Medicine, Disease Biomarkers, and Genetic Algorithms. These domains benefit from ML's data-driven insights, which have the potential to revolutionize healthcare and biomedical research. …”

A hierarchical vision-based localization of rotor unmanned aerial vehicles for autonomous landing by Haiwen Yuan, Changshi Xiao, Supu Xiu, Wenqiang Zhan, Zhenyi Ye, Fan Zhang, Chunhui Zhou, Yuanqiao Wen, Qiliang Li

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Assessing the association between ADHD and brain maturation in late childhood and emotion regulation in early adolescence by Kristóf Ágrez, Pál Vakli, Béla Weiss, Zoltán Vidnyánszky, Nóra Bunford

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Assessing the Accuracy and Consistency of Cropland Datasets and Their Influencing Factors on the Tibetan Plateau by Fuyao Zhang, Xue Wang, Liangjie Xin, Xiubin Li

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Electroencephalographic monitoring in detection and prediction of delayed cerebral ischemia due to non-traumatic subarachnoid hemorrhage by I. V. Okuneva, M. V. Sinkin, A. I. Evdokimov, A. V. Prirodov

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Unsupervised Learning for Heart Disease Prediction: Clustering-Based Approach by Jetty Janani., Sk Sajida Sultana., Polepalle Ranga Bhavitha., Parusu Vishwitha.

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SEARCH FOR CLINICAL PREDICTORS OF PULMONARY HYPERTENSION IN PATIENTS WITH SYSTEMIC SCLEROSIS by N. A. Klyaus, M. A. Simakova, A. L. Maslyansky, O. M. Moiseeva

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A Systematic Review of the Applications of Electronic Nose and Electronic Tongue in Food Quality Assessment and Safety by Ramkumar Vanaraj, Bincy I.P, Gopiraman Mayakrishnan, Ick Soo Kim, Seong-Cheol Kim

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Preliminary Results in the Investigation of In Vivo Iliac and Coronary Flow Collision, Vortex Formation, and Disorganized Flow Degeneration: Insights from Invasive Cardiology Based... by Thach Nguyen, Hieu D. Nguyen, Hoang V. K. Dinh, Tien H. T. Dinh, Khiem Ngo, Hieu H. Truong, Hien Q. Nguyen, Vu Tri Loc, Thien Le, Nhi Vo, Trung Q. T. Le, Tam Tran, Chau Dang, Vy Le, Dat Q. Ha, Hadrian Tran, Mihas Kodenchery, Marco Zuin, Gianluca Rigatelli, Miguel Antunes, Quynh T. N. Nguyen, Aravinda Nanjundappa, C. Michael Gibson

“…<b>Background</b>: In the research of coronary artery disease, the precise initial injury that starts the atherosclerotic cascade remains unidentified. …”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. …”
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A cosine similarity-based method for improving the accuracy of GIS discharge spectrum recognition by CHEN Xiaoxin, ZHOU Tonghao, LIU Jiangming, DAI Pengfei, LIU Yanqi, LI Wendong, ZHANG Guanjun

“…The study of effective feature extraction and optimization algorithms is crucial for improving the accuracy of partial discharge （PD） detection in gas-insulated switchgear （GIS）. …”
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Computational Thinking in Elementary School Students: A Bibliometric Review by Swasti Maharani, Irna Tri Yuniahastuti, Ihtiari Prastyaningrum, Vera Dewi Susanti, Hendrisa Rizqie Romandoni

“…The development of CT skills, which include logical thinking, systematic problem-solving, decomposition, pattern recognition, abstraction, and algorithmic design, is essential to prepare students for navigating a technology-driven future. …”
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Hip-spine syndrome: Diagnostic difficulties by A. A. Kargaltsev, M. A. Makarov, S. A. Makarov, A. M. Lila

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Interpretation of myocardial perfusion SPECT with attenuation correction. Part 2 by A. A. Ansheles, V. В. Sergienko

“…The diffuse irregularity of perfusion radiopharmaceutical tracer accumulation in the application of the current reconstruction algorithms stood out in a separate pattern as a sign of microcirculatory disturbances. …”
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Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach by Wagh Swapnil, Sharma Ruchi

“…Early diagnosis and efficient categorization of plant diseases are of utmost importance to support agricultural production and profitability. Besides, this research aims to investigate the feasibility that employs data mining framework together with optimization algorithms as approaches towards plant diseases identification and categorization systems. …”
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A review of recent artificial intelligence for traditional medicine by Chengbin Hou, Yanzhuo Gao, Xinyu Lin, Jinchao Wu, Ning Li, Hairong Lv, William Cheng-Chung Chu

“…Specifically, we investigate how Machine Learning, Deep Learning, and Large Language Models are applied to TM, covering applications such as diagnosis (before, during, after) and research (drug research, structured knowledge, data analysis). …”
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Comparison of Matrix Decomposition in Null Space-Based LDA Method by Carissa Devina Usman, Farikhin, Titi Udjiani

“…Problems with small sample sizes and high dimensionality are common in pattern recognition. Almost all machine learning algorithms degrade in high-dimensional data, so that singularities in the scatter matrices, the main problem of the Linear Discriminant Analysis (LDA) technique, might result. …”
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Intelligent Technologies and Robotic Machines for Garden Crops Cultivation by I. G. Smirnov, D. O. Khort, A. I. Kutyrev

“…It is noted that there is a need for developing special actuators, grippers and new control algorithms for harvesting horticulture products. (Research purpose) The research aimed to develop an intelligent control system for horticulture industrial technologies and robotic techniques for yield monitoring and fruit harvesting. …”
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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review by Kapongo D. Lumamba, Gordon Wells, Delon Naicker, Threnesan Naidoo, Adrie J. C. Steyn, Mandlenkosi Gwetu

“…We categorised the computer vision platform into four technologies: image processing, object/pattern recognition, computer graphics, and deep learning. …”
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Experimental Test Procedure of the Spatial Distribution of Environmental Parameters and Products of Combustion in a Residential Area and Adjacent Spaces by A. A. Antoshyn, S. A. Volkau

“…This article is dedicated to the issue of efficiency increase of fire detection equipment in living accommodation and adjacent spaces. This research is intended to develop the testing methodology for spatial pattern of combustion products, including toxic gases with asphyxiant and irritant effects, in both height and area of rooms in a standard apartment building, as well as correlation identification between controlled by fire alarm parameters of environment in living rooms and dangerous fire factors.Proposed methodology includes the concentration measurement of the basic gaseous combustion products (asphyxiant and irritant), generated in the process of materials burning in living accommodation. …”
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