The Difference in MODIS Aerosol Retrieval Accuracy over Chinese Forested Regions by Masroor Ahmed, Yongjing Ma, Lingbin Kong, Yulong Tan, Jinyuan Xin

“…The proposed results highlight critical limitations of current aerosol retrieval algorithms in forest and mountainous landscapes, necessitating methodological refinements to improve satellite-based derived AOD accuracy in ecological sensitive areas.…”
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Perbandingan Klasifikasi Antara KNN dan Naive Bayes pada Penentuan Status Gunung Berapi dengan K-Fold Cross Validation by Firman Tempola, Miftah Muhammad, Amal Khairan

“…Abstract This research will compare two classification algorithms that are K-Nearest Neighbors and Naive Bayes Classifier on data of volcanic status activity in Indonesia. …”
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An approach to forecasting damage due to unfavorable circumstances associated with indistinguishability of source data by V. F. Zolotukhin, A. V. Matershev, L. A. Podkolzina

“…The results obtained are focused on the construction of analytical algorithms for establishing indistinguishability under the monitoring, modeling, forecasting state-related processes and complex dynamic multiparameter objects.…”
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Association between different insulin resistance surrogates and erectile dysfunction in non-diabetic men: a large population-based study by Shenghao Wu, Weiting Xia

“…When segmenting effects were detected, recursive algorithms were used to determine potential inflection points. …”
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Study on Discrete Null-Field Equation Methods for Bounded Simply Connected Domains: Better Locations of Source Nodes by Li-Ping Zhang, Zi-Cai Li, Hung-Tsai Huang, Ming-Gong Lee, Alexander L. Kazakov

“…The development of algorithms based on the NFE lags far behind that of the traditional boundary element method (BEM). …”
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Predictive modeling of gestational weight gain: a machine learning multiclass classification study by Audêncio Victor, Hellen Geremias dos Santos, Gabriel Ferreira Santos Silva, Fabiano Barcellos Filho, Alexandre de Fátima Cobre, Liania A. Luzia, Patrícia H.C. Rondó, Alexandre Dias Porto Chiavegatto Filho

“…Five machine learning algorithms (Random Forest, LightGBM, AdaBoost, CatBoost, and XGBoost) were employed for model development. …”
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Retrieval of Vegetation Indices and Vegetation Fraction in Highly Compact Urban Areas: A 3D Radiative Transfer Approach by Wenya Xue, Liping Feng, Jinxin Yang, Yong Xu, Hung Chak Ho, Renbo Luo, Massimo Menenti, Man Sing Wong

“…The effects of the urban material heterogeneity and 3D structure on the NDVI, and the performance of three NDVI-based fractional vegetation cover (FVC) inversion algorithms, are evaluated. The results show that the effects of the building material heterogeneity on the NDVI are negligible under sunlit conditions but not negligible under shaded conditions. …”
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Improvement of pinch technology for the possibility of integration of non-stationary thermal processes, taken into account of their localization by D. S. Agapov, A. P. Kartoshkin, A. A. Kalutik, A. V. Kondrashov

“…When  solving  the  problem,  the  principle  of determining heat exchange connections was analyzed, other algorithms for their selection were proposed,  and  new  optimization  criteria  were  synthesized.  …”
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Analysis of informativeness of features of classification of dangerous weather events based on radar observation results by O. V. Vasiliev, E. S. Boyarenko, A. N. Savelyev, N. V. Gorbachev

“…The classification criterion based on the maximum probability functional was chosen to determine the structure of classification algorithms and decision rules. At the same time under the acceptable confidence is accepted the value of the probability of correct classification not lower than 0.8. …”
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Digital remote monitoring of people with multiple sclerosis by Michelangelo Dini, Michelangelo Dini, Giancarlo Comi, Letizia Leocani, Letizia Leocani, Letizia Leocani

“…We focus on tools and techniques applied to data from wearable sensors, smartphones, and other connected devices, as well as AI-based methods for the analysis of big data.ResultsWearable sensors and machine learning algorithms show significant promise in monitoring motor symptoms, such as fall risk and gait disturbances. …”
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An Efficient Process for the Management of the Deterioration and Conservation of Architectural Heritage: The HBIM Project of the Duomo of Molfetta (Italy) by Enrique Nieto-Julián, Silvana Bruno, Juan Moyano

“…The methodological process is mainly aided by the precise semantic segmentation of global point clouds, a semi-automatic process assisted by classification algorithms implemented in the Cyclone 3DR post-processing software, which has allowed the classification of the unstructured information provided by the remote sensing equipment when identifying the architectural-structural systems of a building with high historical values. …”
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Diffractogram data processing module for electronic journal. Finding diffraction maximum by Roman D. Gerasimov, Arseny D. Starikov

“…Analysis and evaluation of already developed solutions, as well as existing literature; testing of existing algorithms for data analysis, finding diffraction maxima on the diffractogram. …”
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THE FEATURES OF QUALITATIVE AND QUANTITATIVE RECONSTRUCTION OF BUCCAL EPITHILIUM CELLULAR COMPOSITION IN A NICOTINE INTOXICATION by N.V. Gasiuk, T.N. Moshel, I.Yu. Popovich

“…Study of pathogenic mechanisms of inflammatory and precancerous processes in specified anatomical localization and serve as the theoretical basis for optimization of patient’s examination algorithms and determining the criteria of pathological processes emergence in healthy individuals were made. …”
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Machine Learning–Based Analysis of Lifestyle Risk Factors for Atherosclerotic Cardiovascular Disease: Retrospective Case-Control Study by Hye-Jin Kim, Heeji Choi, Hyo-Jung Ahn, Seung-Ho Shin, Chulho Kim, Sang-Hwa Lee, Jong-Hee Sohn, Jae-Jun Lee

“…MethodsUsing data from the Korea National Health and Nutrition Examination Survey, 5 ML algorithms were used for the prediction of high ASCVD risk: logistic regression (LR), support vector machine, random forest, extreme gradient boosting, and light gradient boosting models. …”
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Statistics on the Industry Structure of the Russian Economy and its Optimization Model by O. V. Morozov, M. A. Vasiliev

“…The theoretical foundations, the procedure and algorithms for studying the structure of multicomponent (discrete) systems are presented. …”
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Deep learning approach with ConvNeXt-SE-attn model for in vitro oral squamous cell carcinoma and chemotherapy analysis by Abhay Nath, Om Roy, Priyanka Silveri, Sanskruti Patel

“…Our method applies residual connections with Squeeze-and-Excitation blocks along with hybrid attention systems and enhanced activation functions and optimization algorithms to boost gradient movement throughout feature extraction. …”
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New Challenging Systemic Therapies for Juvenile Scleroderma: A Comprehensive Review by Chiara Sassetti, Claudia Borrelli, Martha Mazuy, Cristina Guerriero, Donato Rigante, Susanna Esposito

“…Large, multicenter, long-term trials are urgently needed to establish safety, efficacy, and optimal treatment algorithms that are tailored to the pediatric population.…”
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A machine learning model for predicting acute respiratory distress syndrome risk in patients with sepsis using circulating immune cell parameters: a retrospective study by Kaihuan Zhou, Lian Qin, Yin Chen, Hanming Gao, Yicong Ling, Qianqian Qin, Chenglin Mou, Tao Qin, Junyu Lu

“…Principal component analysis (PCA) was used for dimensionality reduction and to comprehensively evaluate the models’ predictive capabilities, we used several ML algorithms, including decision trees, k-nearest neighbors (KNN), logistic regression, naive Bayes, random forests, neural networks, XGBoost, and support vector machines (SVM) to predict ARDS risk. …”
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Study of cytostatic and cytotoxic characteristics of modified peptide CDK4/6 inhibitors – functional analogs of p16INK4a (90-97) by V. K. Bozhenko, T. M. Kulinich, E. A. Kudinova, A. V. Ivanov, A. M. Shishkin, V. A. Solodkiy

“…Application of numerical algorithms for optimization of peptide sequences and molecular dynamics allowed to obtain modified peptide sequences that are functional analogs of the sequence of natural inhibitor of cyclin-dependent kinase 4/6 p16INK4a.The study objective is to establish biological characteristics of peptide sequences of CDK 4/6 inhibitors obtained using mathematical modeling.Materials and methods. …”
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Bioinformatics screening and clinical validation of CircRNA and related miRNA in male osteoporosis by Jiayi Li, Sijia Guo, Qingyun Sun, Ning An, Jisheng Lin, Qi Fei

“…Then, three genes, including SETD2, ATM and XPO1, were identified as hub genes with four algorithms. Ultimately, the ceRNA network, involving 4 circRNAs, 40 miRNAs, and 592 mRNAs, was obtained. …”
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