Ship Target SAR Dataset Generation Based on Ray Tracing Including Multiple Scattering by Junjie Li, Ke Wu, Liuyan Wei, Chuanxiang Cheng, Gaohao Zhu

“…Finally, the raw echo signal of the ship target is processed by RD imaging algorithm, then the corresponding SAR simulated image is obtained. …”
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Comparison of Two Machine Learning Models for Predicting Volumetric Errors From On-The-Fly R-Test Type Device Data and Virtual End Point Constraints by Min Zeng, J. R. R. Mayer, Miao Feng, Elie Bitar-Nehme, Xuan Truong Duong

“…Initial processing of data using the SAMBA (scale and master ball artefact) method eliminates setup errors and provides estimates of inter- and intra-axis errors as well as volumetric errors vectors. …”
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Machine Learning Ship Classifiers for Signals from Passive Sonars by Allyson A. da Silva, Lisandro Lovisolo, Tadeu N. Ferreira

“…The dataset encompassed 12 distinct ship classes and was processed in two ways—full-resolution and downsampled inputs—to assess the impacts of preprocessing on the model accuracy and computational efficiency. …”
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A New Semisupervised-Entropy Framework of Hyperspectral Image Classification Based on Random Forest by Mengmeng Sun, Chunyang Wang, Shuangting Wang, Zongze Zhao, Xiao Li

“…The framework is composed of five parts: (1) random samples selection with (2) probabilistic output initial random forest classification processing based on the number of votes; (3) semisupervised classification, which is an improvement of the supervision classification of random forest based on the weighted entropy algorithm; (4) precision evaluation; and (5) a comparison with the traditional minimum distance classification and the support vector machine (SVM) classification. …”
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Enhancing DDoS Attacks Mitigation Using Machine Learning and Blockchain-Based Mobile Edge Computing in IoT by Mahmoud Chaira, Abdelkader Belhenniche, Roman Chertovskih

“…Our solution leverages the decentralized and tamper-resistant nature of Blockchain technology to enable secure and efficient data collection and processing at the network edge. We evaluate multiple machine learning models, including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), Transformer architectures, and LightGBM, using the CICDDoS2019 dataset. …”
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Dual-channel knowledge attention for traditional Chinese medicine syndrome differentiation by Boting Liu, Hengqiu Huang, Xiaoman Liu, Juntao Zhao, Jiean Mo

“…Abstract With the rapid advancement of Natural Language Processing (NLP) technologies, the application of NLP to enable intelligent syndrome differentiation in Traditional Chinese Medicine (TCM) has become a popular research focus. …”
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Physical activity in the legislative production of the Federal Executive Power (1990 to 2023) by Adson Pereira Silva, Temístocles Damasceno Silva, Saú da Silva Souza, Sérgio Donha Yarid

“…For the data collection, organization, and processing, the current study analyzed bills which mentioned the terms PA and body practices based on laws several presidents that ruled the Federative Republic of Brazil. …”
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A low-cost solution for unmanned aerial vehicle navigation in a global positioning system–denied environment by Shahrukh Ashraf, Priyanka Aggarwal, Praveen Damacharla, Hong Wang, Ahmad Y Javaid, Vijay Devabhaktuni

“…However, advancements in onboard processing have enabled inertial navigation algorithms to perform well during short global positioning system outages. …”
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A Comparative Analysis of Hyper-Parameter Optimization Methods for Predicting Heart Failure Outcomes by Qisthi Alhazmi Hidayaturrohman, Eisuke Hanada

“…Bayesian Search had the best computational efficiency, consistently requiring less processing time than the Grid and Random Search methods. …”
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Machine learning-driven predictive modeling of mechanical properties in diverse steels by Movaffaq Kateb, Sahar Safarian

“…The methodology can also be readily extended to investigate processing-property relationships in other systems, offering a versatile approach for advancing materials science through data-driven techniques.…”
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Artificial intelligence in predicting pathogenic microorganisms’ antimicrobial resistance: challenges, progress, and prospects by Yan Li, Xiaoyan Cui, Xiaoyan Yang, Guangqia Liu, Juan Zhang

“…These advanced computational methods are capable of processing and analyzing large-scale biomedical data, thereby uncovering complex patterns and mechanisms behind the development of resistance. …”
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Implementation of Machine Learning in Flat Die Extrusion of Polymers by Nickolas D. Polychronopoulos, Ioannis Sarris, John Vlachopoulos

“…The dataset encompassed variations in die geometry by varying the gap under a restrictor, polymer rheological and thermophysical properties, and processing conditions, including throughput rate and temperatures. …”
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With romantic gifts to the contemporary popular literature: On the issue of the phenomenon of fan fiction and its genre-poetic aspects by Alekseeva, Ulyana Sergeevna

“… An analysis of media data from the Russian platform https://ficbook.net/ shows that the degree of connection between fanfics and the canon and the nature of secondary processing varies widely: from direct stylistic imitation to variations and remakes to original texts. …”
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HEARING CORRECTION METHOD BASED ON PSYCHOACOUSTICALLY MOTIVATED FREQUENCY TRANSPOSITION IN A SPEECH SIGNAL by M. I. Porhun, M. I. Vashkevich

“…The purpose of the work was to develop a speech signal processing method for the hearing pathologies correction based on psychoacoustically motivated transposition of high-frequency components of the signal spectrum to the low-frequency region with subsequent frequency-dependent amplification. …”
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Graph-based fault diagnosis for rotating machinery: Adaptive segmentation and structural feature integration by Moirangthem Tiken Singh

“…Combining graph-theoretic analysis with statistical signal processing eliminates the need for resource-intensive models, making it ideal for industrial fault diagnosis and predictive maintenance applications.…”
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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

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Sentiment Analysis of Public Satisfaction with the 'INFO BMKG' Application using Naive Bayes, SVM, and KNN by Natasya Aditiya, Pratomo Setiaji, Supriyono Supriyono

“…This research employs three classification algorithms—Naive Bayes, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN)—to categorize user reviews into positive, neutral, or negative sentiments. …”
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Exploiting Contextual Word Embedding of Authorship and Title of Articles for Discovering Citation Intent Classification by Muhammad Roman, Abdul Shahid, Muhammad Irfan Uddin, Qiaozhi Hua, Shazia Maqsood

“…Text information can contribute well if new natural language processing techniques are applied to capture the context of text data. …”
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High-definition mapping of retroviral integration sites defines the fate of allogeneic T cells after donor lymphocyte infusion. by Claudia Cattoglio, Giulietta Maruggi, Cynthia Bartholomae, Nirav Malani, Danilo Pellin, Fabienne Cocchiarella, Zulma Magnani, Fabio Ciceri, Alessandro Ambrosi, Christof von Kalle, Frederic D Bushman, Chiara Bonini, Manfred Schmidt, Fulvio Mavilio, Alessandra Recchia

“…The infusion of donor lymphocytes transduced with a retroviral vector expressing the HSV-TK suicide gene in patients undergoing hematopoietic stem cell transplantation for leukemia/lymphoma promotes immune reconstitution and prevents infections and graft-versus-host disease. …”
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A Survey on Data Mining for Data-Driven Industrial Assets Maintenance by Eduardo Coronel, Benjamín Barán, Pedro Gardel

“…It examines 534 references from 1995 to 2023, along with three additional articles from 2024 on natural language processing and large language models in industrial maintenance. …”
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