Machine learning-based real-time prediction of duodenal stump leakage from gastrectomy in gastric cancer patients by Jae Hun Chung, Jae Hun Chung, Jae Hun Chung, Yushin Kim, Dongjun Lee, Dongwon Lim, Dongwon Lim, Dongwon Lim, Sun-Hwi Hwang, Sun-Hwi Hwang, Sun-Hwi Hwang, Si-Hak Lee, Si-Hak Lee, Si-Hak Lee, Woohwan Jung

“…The confidence scores of the model indicated that the DSL predictions became more reliable over time.ConclusionThe study concluded that ML models, notably the XGB algorithm, can effectively predict DSL in real-time using comprehensive clinical data, enhancing the clinical decision-making process for GC patients.…”
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TECTONOPHYSICAL INTERPRETATION OF EARTHQUAKE FOCAL MECHANISMS OF THE ZAGROS SYSTEM by O. B. Gintov, E. Ya. Kolesnikova, A. V. Murovskaya, Y. M. Volfman

“…Submeridional subhorizontal compression is explained by the northward movement of the Arabian plate, and SW-NE compression is explained by divergent processes within the limits of the Red Sea rift. The time pattern of the seismogenic processes from 1979 to 2001 shows that submeridional compression and SW-NE compression are associated with different deep mechanisms. …”
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A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM by Peihao Yang, Jiarui Chen, Hairong Zhang, Sheng Li

“…Additionally, a new method based on the denoising autoencoder (DAE) and support vector machine (SVM) is proposed. Firstly, the ESP production data were processed and fault-related features were screened using the random forest (RF) algorithm. …”
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A multi-player game equilibrium problem based on stochastic variational inequalities by Cunlin Li, Wenyu Zhang, Baojun Yang, Hooi Min Yee

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Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…The proposed algorithms are more efficient than state-of-the-art algorithms even though the suspected image is post-processed.…”
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Stroke Prediction Based on Machine Learning by Zhang Yuhan

“…Machine learning technology can analyze patients’ historical health data and biometrics to identify high-risk individuals in a timely manner, thereby effectively predicting stroke.This paper evaluates the predictive performance Random Forest and Support Vector Machine (SVM). Data preprocessing encompasses managing missing data, processing categorical variables, and tackling issues related to class imbalance. …”
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Context-dependent similarity searching for small molecular fragments by Atsushi Yoshimori, Jürgen Bajorath

“…As an alternative, we have adapted the concept of context-depending word pair similarity from natural language processing to evaluate similarity relationships between substituents (R-groups) taking latent characteristics into account. …”
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Performance Analysis of Gray-Coded DP-16QAM MIMO-FSO Systems With Coherent Detection and DSP Techniques by Zinegnaw Libisework Gelaw, Pushparaghavan Annamalai, Hailu Dessalegn Ayalew

“…The performance of a gray-coded dual polarization-16 quadrature amplitude modulation (DP-16 QAM)–based multiple input multiple output (MIMO)-FSO link using coherent detection and digital signal processing (DSP) is investigated. The MIMO link is used to mitigate geometric loss, atmospheric attenuation, and atmospheric turbulence. …”
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Photonics-Based Broadband RF Spectrum Measurement With Sliced Coherent Detection and Spectrum Stitching Technique by Guangyu Gao, Lihua Lei

“…A novel photonics-based channelization approach is proposed for broadband radio frequency (RF) spectrum measurement with a single optical frequency comb, sliced coherent detection (SCD), and improved fast fourier transform-based digital signal processing. Through SCD, channel estimation and spectrum stitching, a broadband and complex RF spectrum can be detected and reconstructed with vector information in a high fidelity. …”
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A New Feature Extraction Technique Based on 1D Local Binary Pattern for Gear Fault Detection by Zrar Kh. Abdul, Abdulbasit Al-Talabani, Ayub O. Abdulrahman

“…Vibration signals of a rotating machine with normal, break, and crack gears are processed for feature extraction. The extracted features from the original signals are utilized as inputs to a classifier based on k-Nearest Neighbour (k-NN) and Support Vector Machine (SVM) for three classes (normal, break, or crack). …”
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Distinguishing Characteristic of the Industrial Development of the South of Russia (Kuban and Stavropol) at the Turn of the 1920-1930s by D. A. Salfetnikov

“…Special attention is paid to the issues of interaction in this period of collectivized agriculture with industry, primarily with its two branches - food and processing. The problems of reconstruction of relevant enterprises and the construction of new plants and factories are touched upon. …”
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All-optical memory based on surface plasmons and Kerr-type nonlinear cavity by Dariush Jafari, Mohammad Danaie

“…These advantages position the proposed design as an ideal candidate for high-performance optical computing systems and on-chip memory applications, addressing key challenges in photonic data processing.…”
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An Ensemble-Based Approach for Detecting Clickbait in Indonesian Online Media by Sandy Kurniawan, Adhe Setya Pramayoga, Yeva Fadhilah Ashari

“…The dataset consists of labeled clickbait and non-clickbait headlines in Bahasa Indonesia, which were processed and represented using TF-IDF vectorization. …”
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Music Therapy Methods Based on SVM and MLP by Hongmin Zou

“…In this paper, a convolutional neural network (CNN) based data processing model for fetal heart rate curves is proposed to improve the accuracy of fetal status assessment. …”
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Implementing Consolidation Strategies in Institutional Discourse: Modeling Concept of COOPERATION by E. V. Dziuba, A. G. Kuzyakin

“…Through the application of the Voyant Tools program for automated data processing (corpus analysis), the frequency of these terms is determined, allowing for the ranking of lexemes and highlighting the dominant unit of cooperation. …”
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Sentiment Analysis of Indonesian Responses to the Conflict in Palestine Using KNN and SVM Methods by Rizky Fauzi, Erik Iman Heri Ujianto

“…The KNN+SVM method is applied to classify the sentiment of the processed tweet data. The results showed that of the 2960 data analyzed, 33.8% were labeled positive, 38.9% were labeled negative, and 27.4% were labeled neutral with 82% accuracy, 83% precision, 82% recall, and 82% F1-Score. …”
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Efficient Context-Preserving Encoding and Decoding of Compositional Structures Using Sparse Binary Representations by Roman Malits, Avi Mendelson

“…While it is unknown how the brain encodes and decodes information in a way that enables both rapid responses and complex processing, there is evidence that the neocortex employs sparse distributed representations for this task. …”
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Detecting the Presence of Named Entities in Bengali: Corpus and Experiments by Farzana Rashid, Fahmida Hamid

“…Named Entity Recognition (NER) belongs to the field of Information Extraction (IE) and Natural Language Processing (NLP). NER aims to find and categorize named entities present in the textual data into recognizable classes. …”
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Diabetic Retinopathy Detection Using DL-Based Feature Extraction and a Hybrid Attention-Based Stacking Ensemble by Sanjana Rajeshwar, Shreya Thaplyal, Anbarasi M., Siva Shanmugam G.

“…Image processing extracts critical features from retinal images, acting as early warning signs for DR. …”
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Manufacturing of CD19 Specific CAR T-Cells and Evaluation of their Functional Activity in Vitro by AV Petukhov, VA Markova, DV Motorin, AK Titov, NS Belozerova, PM Gershovich, AV Karabel’skii, RA Ivanov, EK Zaikova, EYu Smirnov, PA Butylin, AYu Zaritskey

“…Human T-lymphocytes were transduced by the lentiviral vector containing anti-CD19-CAR, RIAD, and GFP genes. …”
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