An intelligent recognition method of deep shale gas reservoir laminaset based on laminaset clustering and R-L-M algorithm by Yu Zeng, Fuqiang Lai, Haijie Zhang, Yi Jiang, Junwei Pu, Tongtong Luo, Xiaoxia Zhao

“…In addition, with core scale electrical images, the electrical imaging logging response characteristics of different types of laminaset were identified. Based on electrical imaging logging images, a laminaset clustering algorithm was designed to segment the laminaset and then Levenberg-Marquardt (L-M) algorithm was improved by introducing a random forest to obtain the R-L-M algorithm, which was used to extract key parameters of laminaset such as attitude, type, density, and thickness. …”
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Estimation of foveal avascular zone area from a B-scan OCT image using machine learning algorithms. by Taku Toyama, Ichiro Maruko, Han Peng Zhou, Miki Ikeda, Taiji Hasegawa, Tomohiro Iida, Makoto Aihara, Takashi Ueta

“…<h4>Purpose</h4>The objective of this study is to estimate the area of the Foveal Avascular Zone (FAZ) from B-scan OCT images using machine learning algorithms.<h4>Methods</h4>We developed machine learning models to predict the FAZ area from OCT B-scan images of eyes without retinal vascular diseases. …”
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Prevalence and diagnostic accuracy of different diagnostic tests for Chagas disease in an indigenous community of the Paraguayan Chaco. by Sofia Ardiles-Ruesjas, Vidalia Lesmo, Valeria González-Romero, Zully Cubilla, Lilian Chena, Claudia Huber, María José Rivas, Patricia Saldaña, Adrián Carrascosa, Susana Méndez, Sergi Sanz, Sören L Becker, Julio Alonso-Padilla, Irene Losada

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Comparative Analysis between Active Contour and Otsu Thresholding Segmentation Algorithms in Segmenting Brain Tumor Magnetic Resonance Imaging by Sarah Husham, Aida Mustapha, Salama A. Mostafa, Mohammed K. Al-Obaidi, Mazin Mohammed, Alyaa Idrees Abdulmaged, S. Thomas George

“…The results revealed that the Active Contour algorithm has higher segmentation accuracy when tested across the three different similarity coefficients. …”
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Identification of matrix stiffness-related molecular subtypes in HCC via integrating multi-omics analysis and machine learning algorithms by Hanqi Li, Jiayi Zhang, Yu Shi, Huanhuan Wang, Ruida Yang, Shaobo Wu, Yue Li, Xue Yang, Qingguang Liu, Liankang Sun

“…A matrix stiffness-related signature comprising 57 genes was constructed by evaluating 101 machine learning algorithm combinations. …”
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ANTIBIOTIC SENSITIVITY ISOLATION EVALUATION OF MAJOR MICROORGANISMS IN PERIODONTAL TISSUE PATHOLOGY by S.B. Kostenko

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Comprehensive Evaluation of Techniques for Intelligent Chatter Detection in Micro-Milling Processes by Guilherme Serpa Sestito, Wesley Angelino De Souza, Alessandro Roger Rodrigues, Maira Martins Da Silva

“…This work proposed using feature selection to evaluate the impact of several statistical features on the performance of ML classifiers for chatter detection during micro-milling operations, compare them to the performance of the Convolutional Neural Network algorithm, and discuss the employability of the techniques on the STM32F446RE microcontroller. …”
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Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms by Raka Thoriq Araaf, Arkar Minn, Tofael Ahamed

“…All labeled images were used to train the YOLOv5 and YOLOv8 algorithms through the convolutional neural network (CNN). …”
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A New Type Iterative Ridge Estimator: Applications and Performance Evaluations by Aydın Karakoca

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Airway management algorithm during circular tracheal resection in adult patients with cicatricial stenosis (a single-center study) by A. V. Kozhanova, Т. N. Khlan, О. V. Strunin, А. А. Pechetov, К. V. Lukich, A. S. Ibragimov, Yu. G. Starkov

“…The objective was to present the experience of airway management algorithm in patients with different localization of stenosis during circular tracheal resection.Materials and methods. …”
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Mesenteric panniculitis in rheumatologist practice by O. N. Egorova, A. V. Datsina

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A comparative analysis of emotion recognition from EEG signals using temporal features and hyperparameter-tuned machine learning techniques by Rabita Hasan, Sheikh Md. Rabiul Islam

“…Furthermore, cross-subject evaluation on the SEED dataset reinforced the approach’s robustness, where XGBoost achieved 86 % accuracy using HFD and 84 % using DE. …”
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Schools food waste audit as the criteria for evaluating the quality of school meals by Anna V. Stol

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Mission-oriented capability evaluation for combat network based on operation loops by Yang Wang, Junyong Tao, Xiaoke Zhang, Guanghan Bai, Yunan Zhang

“…With continuous growth in scale, topology complexity, mission phases, and mission diversity, challenges have been placed for efficient capability evaluation of modern combat systems. Aiming at the problems of insufficient mission consideration and single evaluation dimension in the existing evaluation approaches, this study proposes a mission-oriented capability evaluation method for combat systems based on operation loop. …”
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INSTRUMENTAL AND BIOPHYSICAL METHOD OF EVALUATION TEST OF SEEDS OF GREEN VEGETABLE CULTURES by F. B. Musayev, V. A. Kharchenko, M. S. Antoshkina

“…The modern tool methods of evaluation test allow to glance in internal structure of seeds and to scoop more information. …”
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Evaluation of Worker Fatigue During Exoskeleton-Assisted Tasks with Varying Intensities by Daehwi Jo, Gu Young Cho, Kyung-In Kang, Hyunsoo Kim

“…Worker fatigue is a significant concern in construction environments, particularly for high-intensity repetitive tasks that contribute to physical strain and increase the risk of accidents. This study evaluates the impact of exoskeleton-assisted work on fatigue reduction across different construction tasks and intensity levels. …”
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Protection Algorithm Based on Two-Dimensional Spatial Current Trajectory Image and Deep Learning for Transmission Lines Connecting Photovoltaic Stations by Panrun Jin, Jianling Liao, Wenqin Song, Xushan Zhao, Yankui Zhang

“…A data-enhanced convolutional neural network (A-CNN) based on cross-overlapping data sets is used to identify trajectory features and locate faults. After performance evaluation, the protection algorithm has the advantages of adapting to new energy access, resisting transition resistance, and robustness to current transformer (CT) saturation, and outliers.…”
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Operation Evaluation of Phased Antenna Arrays in Case of Phase Shifter Malfunction by M. R. Bibarsov, A. F. Kryachko, A. V. Pshenichnikov

“…Development of an algorithm for assessing the impact of a complete PS shutdown on WSPAA characteristics, as well as operation evaluation of WSPAAs in the event of PS malfunction with different outcomes.Materials and methods. …”
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Evaluation of Pore-Type Carbonate Reservoir Connectivity Based on Electrical Imaging by SUN Jianmeng, CHENG Yaodong, HE Juan, LIU Zhang, CHEN Peiyuan

“…There is a strong correlation between the connectivity of carbonate reservoirs and the characteristics of pore, and the connectivity is an important factor affecting the permeability of reservoirs. Therefore, the evaluation of the connectivity of pore-type carbonate reservoirs is the key issue in the evaluation of carbonate reservoirs. …”
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Performance Testing and Analysis of a New GNSS Spoofing Detection Method in Different Spoofing Scenarios by Li Junzhi, Wu Haitao, Gao Jinfeng, Liu Fang, Zhang Yu, Li Gangqiang, He Yu

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