Enhancing Speech Recognition Using Improved Particle Swarm Optimization Based Hidden Markov Model by Lokesh Selvaraj, Balakrishnan Ganesan

“…Following that, to accomplish the training process, the extracted characteristics are given to genetic algorithm based codebook generation in vector quantization. …”
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Digital Service Model of Red Educational Resources from the Perspective of Excellent Traditional Culture by Dan Liu

“…Determine the influencing factors of red education resources in the integration process, integrate the remote scheduling principle of teaching information into the feature vector extraction of red education resources, extract the number of main factors of the feature vector, decompose the feature vector of red education resources, take the wavelet entropy of red education resources as the fusion weight, and integrate the obtained coefficients through wavelet transformation. …”
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Effects of Fabrication Parameters on the Properties of Parts Manufactured with Selective Laser Sintering: Application on Cement-Filled PA12 by Abdelrasoul M. Gadelmoula, Saleh A. Aldahash

“…Also, the end-of-vector (EOV) effect on the edge geometry of manufactured parts is studied. …”
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ABOUT ANALYTICAL METHOD FOR SOLVING THE CAUCHY PROBLEM OF TWO QUASILINEAR HYPERBOLIC EQUATIONS SYSTEM by A. A. Gorinov

“…Thus, the solution of the initial-boundary value problem for the system under consideration can be obtained analytically by shifting the initial curve along the trajectories of the given vector field. As an example, the Buckley-Leverett system of equations describing the process of nonlinear one-dimensional two-phase filtration in a porous medium is considered. …”
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Developing an Integrative Data Intelligence Model for Construction Cost Estimation by Zainab Hasan Ali, Abbas M. Burhan, Murizah Kassim, Zainab Al-Khafaji

“…Construction cost estimation is one of the essential processes in construction management. Project cost is a complex engineering problem due to various factors affecting the construction industry. …”
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IN SILICO AND IN VITRO ACTIVITY OF FRIEDELIN N-DERIVATIVES AGAINST PROMASTIGOTE FORMS OF Leishmania amazonensis by Mauro Lúcio Gonçalves de Oliveira, Lucienir Pains Duarte, Grácia Divina de Fátima, Silvia Ribeiro de Souza, Misléia Rodrigues de Aguiar Gomes, Sidney Augusto Vieira-Filho, Vera Lucia de Almeida, Júlio César Dias Lopes

“…We developed the Active-IT software to build these models using support-vector machine (SVM) and Naïve Bayes machine learning tools, high-quality datasets, and 3D compound structures. …”
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Identification of ulcerative colitis diagnostic markers from differentially expressed genes shared with Hirschsprung disease by Wei Zuo, Zhengguang Wang

“…Feature genes for distinguishing UC were identified using support vector machine-recursive feature elimination, LASSO regression, and random forest techniques. …”
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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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GraphEPN: A Deep Learning Framework for B-Cell Epitope Prediction Leveraging Graph Neural Networks by Feng Wang, Xiangwei Dai, Liyan Shen, Shan Chang

“…This study presents GraphEPN, a novel B-cell epitope prediction framework combining a vector quantized variational autoencoder (VQ-VAE) with a graph transformer. …”
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Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks by Giovanni Trappolini, Antonio Purificato, Federico Siciliano, Luigi D'Addona, Anna Maria Spagnolo, Domenico Dato, Fabrizio Silvestri

“…This paper introduces <monospace>QAED</monospace> (Quantized Auto Encoder Detector), a novel deep learning approach for anomaly detection in 5G networks with three key innovations: 1) a vector quantization mechanism that effectively captures discrete network states, 2) a kernel density estimation preprocessing step that enables detection of both outliers and distribution shifts, and 3) an integrated architecture that processes multivariate time series data in a unified framework. …”
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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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Multi-Signal Induction Motor Broken Rotor Bar Detection Based on Merged Convolutional Neural Network by Tianyi Wang, Shiguang Wen, Shaotong Sheng, Huimin Ma

“…The method preprocesses motor currents by Hilbert-Huang Transform (HHT) and Park’s Vector Modulus (PVM) and then uses a merged convolutional neural network (CNN) for classification. …”
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THE UTILITARIAN PRAGMATISM OF THE CONCEPTS OF KIDNEY DISEASE IMPROVING GLOBAL OUTCOMES AND CHRONIC KIDNEY DISEASE ON THE SIDELINES OF THE PARADIGMS OF BIOLOGY AND PHYSIOLOGY by Владимир Валентинович Разумов

“…The facts of expression of the same genes revealed by her, as in normal nephrogenesis, as in nephrosclerosis, determine the vector of searches for antifibrogenic interventions and confirm the applicability to the phenomena of pathology of the statement of one of the founders of the synthetic theory of evolution Th. …”
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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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Explainable Supervised Learning Models for Aviation Predictions in Australia by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

“…A comparative evaluation of four machine learning algorithms is conducted for a three-class classification task:—Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), and a deep neural network (DNN) comprising five hidden layers. …”
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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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The problem of ethnic ties between the Altai and West Siberian regions in the Middle Ages (based on ethnonymy, folklore and traditional culture) by Zaituna A. Tychinskikh

“…According to the author, the processes of interaction between Siberian Tatars and Altaians had a multi-vector character at different historical stages. …”
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Sociocultural recursion in the context of actor-network interaction with generative artificial intelligence by V. A. Shelginskaya

“…Despite the active development of this research vector in terms of generative synthesis effects and risks, there is no detailed conceptualisation of transition processes between the current and predicted states. …”
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Clinical Decision Support for Patient Cases with Asymptomatic Carotid Artery Stenosis Using AI Models and Electronic Medical Records by Mackenzie Madison, Xiao Luo, Jackson Silvey, Robert Brenner, Kartik Gannamaneni, Alan P. Sawchuk

“…By analyzing the EMRs, the Support Vector Machine achieved the highest sensitivity at 0.626 for predicting which of these patients would go on to develop a stroke or TIA. …”
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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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