Prospective Validation and Usability Evaluation of a Mobile Diagnostic App for Obstructive Sleep Apnea by Pedro Amorim, Daniela Ferreira-Santos, Marta Drummond, Pedro Pereira Rodrigues

“…Current guidelines recommend the development of clinical prediction algorithms in screening prior to PSG. A recent intuitive and user-friendly tool (OSABayes), based on a Bayesian network model using six clinical variables, has been proposed to quantify the probability of OSA. …”
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Evaluating the performances of SVR and XGBoost for short-range forecasting of heatwaves across different temperature zones of India by Srikanth Bhoopathi, Nitish Kumar, Somesh, Manali Pal

“…Two Machine Learning (ML) algorithms eXtreme Gradient Boosting (XGBoost) and Support Vector Regression (SVR) are employed to achieve this goal. …”
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Modeling forest canopy structure and developing a stand health index using satellite remote sensing by Pulakesh Das, Parinaz Rahimzadeh-Bajgiran, William Livingston, Cameron D. McIntire, Aaron Bergdahl

“…The plot-level data were used to develop regression models for LAI and LCR estimation using microwave (Sentinel-1) and optical (Sentinel-2) remote sensing data and applying the Random Forest (RF) and Support Vector Machine (SVM) machine learning algorithms. The RF model showed higher prediction accuracy than the SVM model at the site level. …”
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Improving Soil Heavy Metal Lead Inversion Through Combined Band Selection Methods: A Case Study in Gejiu City, China by Ping He, Xianfeng Cheng, Xingping Wen, Yi Cao, Yu Chen

“…To construct a preliminary Pb content prediction model, the initial selection of spectral bands utilized methods including CARS (Competitive Adaptive Reweighted Sampling), GA (Genetic Algorithm), MI (mutual information), SPA (Successive Projections Algorithm), and WOA (Whale Optimization Algorithm). …”
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Toward sustainable machining of hardened SKD11: Machine learning-based evaluation and optimization of surface roughness, tool wear, and CO2 emissions by Van-Canh Nguyen, Dung Hoang Tien, Van-Hung Pham, Thinh-Viet Nguyen, Thuy-Duong Nguyen

“…Results indicated that the second-order model demonstrated superior predictive accuracy for Ra (R² = 0.997) and CE (R² = 0.994), whereas the Vb prediction model failed to achieve sufficient reliability. …”
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Ethical Aspects of the Influence of Neural Networks on the Lives of Students in the Context of a Sociological Approach (using the Example of Students of the IT Department of ETU) by A. S. Kurapova, S. V. Kurapov, A. D. Derzhavina, N. V. Shatilo

“…Its possibilities in the educational process based on the ethical principles of a human-oriented approach are discussed (A.V. …”
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Method of evaluation of the extent of skeletal forms of malocclusion by I. N. Zhmyrko, N. S. Drobysheva

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Analytical Synthesis of Regulators for Nonlinear Systems with a Terminal State Method on Examples of Motion Control of a Wheeled Robot and a Vessel by E. A. Shushlyapin, A. E. Bezuglaya

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Carrying out entrance control of “Informatics” students’ knowledge with use of specialized computer system by L. V. Larina

“…The results of approbation of system, which have shown efficiency of its use in educational process, are given including those on the stage of entrance control. …”
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Machine learning on multi‐spectral imagery to estimate nutrient yield of mixed‐species cover crops by Tulsi P. Kharel, Heather L. Tyler, Partson Mubvumba, Yanbo Huang, Ammar B. Bhandari, Reginald S. Fletcher, Saseendran Anapalli, Deepak R. Joshi, Alemu Mengistu, Girma Birru, Kabindra Adhikari, Madhav Dhakal, Mahesh L. Maskey, Krishna N. Reddy, David E. Clay

“…The chlorophyll absorption ratio index and the normalized difference vegetation index closely followed the biomass nutrients N, P, and K combined yield (Bio_NPK) trend. Machine learning algorithms random forest (RF) and partial least square (PLS) regression were better for biomass (R2 = 0.74 with RF) and N% (R2 = 0.72 with PLS) prediction compared to the Bio_NPK prediction. …”
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Interpretable XGBoost model identifies idiopathic central precocious puberty in girls using four clinical and imaging features by Lu Tian, Yan Zeng, Helin Zheng, Jinhua Cai

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Neuro-fuzzy controller based adaptive control for enhancing the frequency response of two-area power system by M.S. Elborlsy, Samir A. Hamad, Fayez F.M. El-Sousy, R.M. Mostafa, H.E. Keshta, Mohamed A. Ghalib

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Logical-semantic knowledge model for the knowledge base of a lecturer by Serhii Dotsenko, Olga Banit, Dmytro Nor, Olga Morozova

“…The current focus of implementing information technologies in educational activities is on organizing educational processes in a distance format. …”
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Analysis of Factors Influencing the Mental Health Status of Personnel Stationed at High- and Low-Altitude Bases by Li HF, Chen J, Ge YF, Liu SJ, Zhou LJ, Dong GG

“…Measures such as enhancing income and welfare benefits as appropriate, improving education levels by advancing educational opportunities, and providing more mental health education and training may effectively reduce psychological stress and contribute to building a resilient and psychologically healthy military force.Keywords: altitude, comparative analysis, mental health, personnel, symptom checklist-90, SCL-90…”
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Application of Intelligent Archives Management Based on Data Mining in Hospital Archives Management by Juan Li

“…The information excavated must be real and not universally known, and it can be the discovery of a specific problem. Data mining algorithms mainly include the neural network method, decision tree method, genetic algorithm, rough set method, fuzzy set method, association rule method, and so on. …”
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A window into the mind-brain-body interplay: Development of diagnostic, prognostic biomarkers, and rehabilitation strategies in functional motor disorders. by Marialuisa Gandolfi, Angela Sandri, Sara Mariotto, Stefano Tamburin, Anna Paolicelli, Mirta Fiorio, Giulia Pedrotti, Paolo Barone, Maria Teresa Pellecchia, Roberto Erro, Sofia Cuoco, Immacolata Carotenuto, Claudia Vinciguerra, Annibale Botto, Lucia Zenere, Elisa Canu, Elisa Sibilla, Massimo Filippi, Elisabetta Sarasso, Federica Agosta, Michele Tinazzi, Group Collaborators Consortium

“…Finally, the algorithm's prognostic value will be explored post-rehabilitation in one subgroup of patients with FMD.…”
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Characterizing leaf-deposited particles: Single-particle mass spectral analysis and comparison with naturally fallen particles by Dele Chen, Hua-Yun Xiao, Ningxiao Sun, Jingli Yan, Shan Yin

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Dynamic asymmetric assignment problem in open multi-agent systems by M. P. Revotjuk, N. V. Khajynova, A. P. Kuznetsov, L. Y. Shilin

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Observer of changes in the forest of the shortest paths on dynamic graphs of transport networks by N. V. Khajynova, M. P. Revotjuk, L. Y. Shilin

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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

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