Real-time lithology identification while drilling based on drilling parameters analysis with machine learning by Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Chunmiao Liang

“…Furthermore, an ensemble learning lithology identification model based on soft voting was constructed, integrating SVM, decision tree, KNN, and neural network classifiers. …”
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Organisation of physical education at the university based on students’ constitutional types and health groups by M. M. Kolokoltsev, S. S. Iermakov, N. V. Tretyakova

“…Methods of the statistical analysis with the application of StatSoft Statistica 6.1 and Microsoft Excel programmes were used to process the obtained results in the process of diagnostics. …”
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Feature Extraction and Attribute Recognition of Aerosol Particles from In Situ Light-Scattering Measurements Based on EMD-ICA Combined LSTM Model by Heng Zhao, Yanyan Zhang, Dengxin Hua, Jiamin Fang, Jie Zhang, Zewen Yang

“…The extracted scattering coefficient matrix is input into the LSTM for iterative training. Finally, the SoftMax layer’s probability classification method is applied to the identification of particle attributes. …”
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Peer-to-peer energy trading with energy trading consistency in interconnected multi-energy microgrids: A multi-agent deep reinforcement learning approach by Yang Cui, Yang Xu, Yijian Wang, Yuting Zhao, Han Zhu, Dingran Cheng

“…The complex decision-making problem with significantly large high-dimensional data is formulated as a partially observable Markov decision process and solved using the proposed multi-agent deep reinforcement learning approach combining the centralized training decentralized execution framework and soft actor-critic algorithm. Finally, the effectiveness of the proposed method was verified through a case simulation. …”
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Computed tomography in terms of thoracic outlet syndrome diagnosis by L. A. Titova, A. A. Gridsay, E. M. Tolstykh, S. I. Marks, N. V. Ischenko, M. V. Anisimov, A. Yu. Goncharova, I. A. Baranov, L. A. Haetskaya

“…Thoracic outlet syndrome (TOS) comprises a group of clinical syndromes caused by congenital or acquired compression of the brachial plexus or subclavian vessels during their passage through the superior thoracic aperture.Clinical manifestations vary by TOS type: neurogenic form (arm pain/paresthesia, hand muscle weakness, thenar atrophy), venous form (limb edema/cyanosis, visible collaterals, subclavian vein thrombosis), arterial form (arm ischemia, distal emboli, subclavian artery aneurysms).The modern diagnostic algorithm includes physical examination (Edson test, Wright test, hyperabduction test) and instrumental diagnostic methods. …”
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A novel and sturdy MPPT architecture for grid-tied EV charging stations using Ali Baba and forty thieves optimization by Debabrata Mazumdar, Hassan Abdurrahman Shuaibu, Chiranjit Sain, Taha Selim Ustun

“…The power output of the proposed approach is compared with the two well-known soft computing based MPPT approaches, i.e., Cuckoo Search Algorithm and Grey Wolf Optimization. …”
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Smart Prussian Blue Analog Decorated with Zinc Oxide Nanohybrid: Fluorescent Sensing and Sustainability of Sunset Yellow in Food and Environment by Hany A. Batakoushy, Amr K. A. Bass, Hassanien Gomaa, Sami El Deeb, Adel Ehab Ibrahim

“…Real sample analysis in the food industry, including samples from real food, soft drinks, and sun cream, was made possible by the detection of tiny amounts of SY. …”
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Optimized CNN-Bi-LSTM–Based BCI System for Imagined Speech Recognition Using FOA-DWT by Meenakshi Bisla, Radhey Shyam Anand

“…EEG signal is enhanced using firefly optimization algorithm (FOA)–based optimized soft thresholding of high-frequency detail components obtained by DWT decomposition. …”
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Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials by Mar Ariza-Sentís, Hilmy Baja, Sergio Vélez, Rick van Essen, João Valente

“…While most research concentrates on data processing algorithms, this study focused on the preceding step: collecting reliable data. …”
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Enhanced Superpixel-Guided ResNet Framework with Optimized Deep-Weighted Averaging-Based Feature Fusion for Lung Cancer Detection in Histopathological Images by Karthikeyan Shanmugam, Harikumar Rajaguru

“…<b>Methods:</b> The study begins with image preprocessing using an adaptive fuzzy filter, followed by segmentation with a modified simple linear iterative clustering (SLIC) algorithm. The segmented images are input into deep learning architectures, specifically ResNet-50 (RN-50), ResNet-101 (RN-101), and ResNet-152 (RN-152), for feature extraction. …”
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Estimating Complex Signals With a Fuzzy-Enhanced Kalman Filter: A Note on &#x201C;the Output Regulation and the Kalman Filter as the Signal Generator&#x201D; by Jesus Alberto Meda-Campana, Juan Carlos Garcia-Hernandez, Rodolfo Daniel Velazquez-Sanchez, Luis Alberto Paramo-Carranza, Tonatiuh Hernandez-Cortes, Ricardo Tapia-Herrera

“…Furthermore, the result shows that incorporating simple fuzzy logic concepts may substantially enhance the performance of some established algorithms.…”
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Meat analogues: The relationship between mechanical anisotropy, macrostructure, and microstructure by Miek Schlangen, Iris van der Doef, Atze Jan van der Goot, Mathias P. Clausen, Thomas E. Kodger

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Machine learning-based prediction of postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy by Qianchang Wang, Zhe Wang, Fangfeng Liu, Zhengjian Wang, Qingqiang Ni, Hong Chang

“…Multivariate analysis identified soft pancreatic texture as an independent predictor (OR = 4.99, 95% CI: 1.93–12.86). …”
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Comparison of dose calculation approaches and clinical dose–response in image-guided head&neck brachytherapy of the oral cavity by Sabrina Schaller, Vratislav Strnad, Claudia Schweizer, Dorota Lubgan, Ricarda Merten, Rainer Fietkau, Christoph Bert, Andre Karius

“…Purpose: Model-based dose calculation algorithms (MBDCAs) are increasingly applied in brachytherapy, but their considerations in dose–response analyses is still lacking. …”
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MODERN APPROACHES TO CLINICAL AND LABORATORY DIAGNOSTICS OF RHEUMATOID ARTHRITIS EARLY ONSET by D. G. Rekalov, S. Y. Dotsenko, A. V. Kylinich

“…The data on the sensitivity and specificity of the diagnostic classification and clinical criteria of eRA and an algorithm for the identification of the disease were presented. …”
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Comparative Analysis of Computed Tomography and Laparoscopy Data in Preoperative Staging of Gastric Cancer by N. K. Silanteva, T. A. Аgababyan, A. A. Kholeva, V. Yu. Skoropad, Z. N. Shavladze, S. A. Ivanov, L. P. Zhavoronkov

“…The combined use of CT and DL is a current algorithm for examining patients with gastric cancer. …”
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Plasma cell tumors of the head and neck. Analysis of diagnostic difficulties based on literature and own data by F. Sh. Kamolova, L. Yu. Grivtsova, S. M. Samborskiy, V. B. Larionova, Yu. E. Ryabukhina, P. A. Zeynalova, A. M. Mudunov

“…Extramedullary plasmacytoma (EP) of soft tissues, which in most cases affects the organs of the head and neck region, is a relatively rare malignant tumor. …”
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Non-Destructive Early Detection of Drosophila Suzukii Infestation in Sweet Cherries (c.v. <i>Sweet Heart</i>) Based on Innovative Management of Spectrophotometric Multilinear Corre... by Giuseppe Altieri, Mahdi Rashvand Avaei, Attilio Matera, Francesco Genovese, Vincenzo Verrastro, Naouel Admane, Orkhan Mammadov, Sabina Laveglia, Giovanni Carlo Di Renzo

“…The identified procedure of management of regression algorithms allowed the selection of a very performant and robust model using the partial least squares regression algorithm: its false negative rate and false positive rate, after 500 Monte Carlo runs, were 0.004% +/− 0.003 and 0.02% +/− 0.01, respectively, and, in addition, the 50% of samples were used for the external cross-validation set.…”
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Research on the optimization of optimal blasting parameters and fragmentation control based on coal seam geological conditions by Zhouquan Liao, Xiaohua Ding, Mingzhi Liang, Jiangfeng Li, Zhongao Yang, Xin Liu, Bin Li, Yan Zhang

“…Using the LS-DYNA software’s fluid–solid coupling algorithm, the effects of charge structure, explosive type, intermediate medium, and hole spacing parameters on blasting results are analyzed. …”
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Optimizing DD-SIMCA modeling for accurate classification of rice varieties via raman spectroscopy by Somaye Vali Zade, Hamed Sahebi, Adel Mirza Alizadeh, Behrooz Jannat, Hossein Rastegar, Solmaz Abedinzadeh, Fataneh Hashempour-Baltork, Amin Mousavi Khaneghah

“…The rice samples were then separated into training and validation sets using the Kennard-Stone (70–30) algorithm. The smoothing and differential pretreatment algorithms were applied to prepare the spectra for analysis. …”
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