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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Hepatotoxicity Evaluation of Levornidazole and Its Three Main Impurities: Based on Structure–Toxicity Classification Prediction Combined with Zebrafish Toxicity Assessment by Ting Liu, Song Yuan, Luyong Zhang, Dousheng Zhang

“…Computational models based on support vector machines (SVM) and artificial neural networks (ANN) predicted that levornidazole, ornidazole, and impurity II exhibited hepatotoxic effects. …”
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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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Identification of ulcerative colitis diagnostic markers from differentially expressed genes shared with Hirschsprung disease by Wei Zuo, Zhengguang Wang

“…We identified 49 common DEGs, linked to biological processes such as “positive regulation of T cell-mediated immunity.” …”
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Machine learning-driven predictive modeling of mechanical properties in diverse steels by Movaffaq Kateb, Sahar Safarian

“…Moreover, other alternative approaches, such as support vector machines, extreme gradient boosting machines, and artificial neural networks, were also evaluated to ensure that the predictions made by the RF model are as accurate as possible. …”
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Economic crime as a threat to the economic security of the state: conceptual and content provisions and properties by A.P.

“…The awareness of the object-subject field of the definition of economic crime made it possible to propose that economic crimes should be understood as threats to the economic security of the state, which consist in the implementation of illegal economic activity (economic processes, relations, operations) or the violation of requirements for legal economic activity to satisfy the selfish interests of a person or groups of people.…”
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New source of cellulase production using a metagenomic technique by Safaa M. Ali, Nadia A. Soliman

“…The cellulase enzymes with high effectiveness under conditions agreeable to the industrial processes necessities are one of the keys for the successful development of chemical and drug synthesis. …”
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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

“…Special attention is paid to lyrical experiences. The romantic vector determines the genre priorities. Genres: alternative universe, drama, angst follow immediately after romance, which takes first place on Ficbook. …”
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Modeling and application of implicit feedback in personalized recommender systems by Hui Li, Shuai Wu, Ronghui Wang, Wenbin Hu, Haining Li

“…The specific implementation includes constructing a negative sample set and applying matrix decomposition techniques to map user and item IDs to a low-dimensional embedding vector space. In addition, the model processes these embedding vectors using a multi-head attention mechanism to transform them into query vectors, key vectors, and value vectors, and further computes the attention scores and the corresponding weighted sums. …”
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A comprehensive study of ALPs from B-decays by Deepanshu Bisht, Sabyasachi Chakraborty, Atanu Samanta

“…Abstract We present a comprehensive study of axion-like particles (ALPs) through flavor changing neutral current processes, such as B → Ka followed by a → hadronic, γγ, μ + μ − channels. …”
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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 Global Dataset Mapping the AI Innovation from Academic Research to Industrial Patents by Haixing Gong, Hui Zou, Xingzhou Liang, Shiyuan Meng, Pinlong Cai, Xingcheng Xu, Jingjing Qu

“…Additionally, DeepCosineAI.csv: By applying semantic vector proximity analysis, this file contains 3,511,929 most relevant paper-patent pairs, each described by 3 metadata fields, to facilitate the identification of potential knowledge flows. …”
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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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