Comparison of Language Models in Skills Extraction From Vacancies and Resumes by Lyubov Komarova, Vladimir Soloviev, Alexey Kolosov

“…The purpose of the work is to consider the capabilities of language models (LLM) and the specified method using vector representations in the tasks of extracting skills from texts of vacancies and resumes. …”
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Opinion mining using ensemble model for restaurant feedback analysis by Rohan S. Kamath, M. R. Kaushik, M. Ramakrishna

“…The main contribution of this work is the integration of models with optimized hyperparameters into an ensemble framework, which greatly improves model performance. …”
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Novel Investigation of Multivariable Conformable Calculus for Modeling Scientific Phenomena by Mohammed K. A. Kaabar, Francisco Martínez, Inmaculada Martínez, Zailan Siri, Silvestre Paredes

“…The conformable derivative (CoD) of a real-valued function (RVF) of several variables (SVs) and all related properties are investigated. An extension to vector-valued functions (VVFs) of several real variables (SRVs) is studied in this work. …”
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Neural models in diagnostics of the financial result of housing and utility enterprises by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

“…Most often, the input sample is determined by  the  input  data  vector.  The  components  of  this  vector  are  the various characteristics of the sample. …”
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APPLIED ASPECTS OF MODELING THE MULTI-CRITERIA CHOICE OF A UNIVERSITY by Anna Orlova

“…In the course of the work, factors that influenced the choice of university graduates with further modeling were revealed. …”
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Interrelationships Among Government Participation, Population and Growth of per Capita Income: Inquiry on Top Twenty Income-Holding Countries in the World by Ramesh Chandra Das

“…With the theoretical setup of the model and using empirical tools, such as cointegration, error correction and causality in a vector autoregression structure, this study reveals that eighteen countries maintain long-run relationships among per capita income growth, government participation, population and the interaction factors between government intervention and population, excepting Germany and Canada. …”
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Asymptotic Theory in Model Diagnostic for General Multivariate Spatial Regression by Wayan Somayasa, Gusti N. Adhi Wibawa, La Hamimu, La Ode Ngkoimani

“…We establish an asymptotic approach for checking the appropriateness of an assumed multivariate spatial regression model by considering the set-indexed partial sums process of the least squares residuals of the vector of observations. …”
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Research on Aerospace Text Classification Based on BERT-LSTM Model by AN Rui, CHEN Hailong, AI Siyu, CUI Xinying

“…Due to the problems of other existing models, such as the inability to extract the weights of the key parts of the text, the model classification is inaccurate, and it is difficult to adapt to the heavy work environment in the space text classification work. …”
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Ultraviolet completion of a two-loop neutrino mass model by K. S. Babu, Shaikh Saad

“…In this work, we present a UV completion of this model by embedding it into an SU(5) unified framework. …”
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Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

“…The prediction of casualties in earthquake disasters is a prerequisite for determining the quantity of emergency supplies needed and serves as the foundational work for the timely distribution of resources. In order to address challenges such as the large computational workload, tedious training process, and multiple influencing factors associated with predicting earthquake casualties, this study proposes a Support Vector Machine (SVM) model utilizing Principal Component Analysis (PCA) and Bayesian Optimization (BO). …”
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Modeling Vehicular Traffic Flow With Taillight Effect on Deteriorated Roads by Gabriel O. Fosu, Gideon K. Gogovi, Richard Owusu, Kwame A. Gyamfi

“…This study addresses a critical gap in traffic flow modeling by developing a macroscopic framework that simultaneously accounts for taillight signaling effects and deteriorated road conditions—a common but understudied scenario in developing regions. …”
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A data driven predictive viscosity model for the microemulsion phase by Akash Talapatra, Bahareh Nojabaei, Pooya Khodaparast

“…Support Vector Regression (SVR) outperformed other models with an R2 of 0.978 and 0.963 and mean absolute errors of 0.059 and 0.072 for training and test datasets, respectively. …”
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Models and methods of strategic business management during armed conflict by I. O. Bobyliev, N. М. Chupryna

“…The scientific novelty of the work lies in the comprehensive generalisation of approaches to strategic management during a period of military instability, and the practical value lies in the possibility of adapting the proposed models to the realities of Ukrainian business.…”
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Privacy Centric Offline Chatbot using Large Language Models by K. Anjali, K. Vipunsai, K. Ruchitha, M. Bhavani, Ch. China Subba Reddy

“…This proposed methodology equips locally managed Large Language Models (LLMs) using tools like Ollama and bge-m3 model for embedding. …”
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Automatic Selection of Machine Learning Models for Armed People Identification by Alonso Javier Amado-Garfias, Santiago Enrique Conant-Pablos, Jose Carlos Ortiz-Bayliss, Hugo Terashima-Marin

“…Thereby, we initially developed six-armed people detectors (APD) based on six machine learning models: Random Forest Classifier (RFC-APD), Multilayer Perceptron (MLP-APD), Support Vector Machine (SVM-APD), Logistic Regression (LR-APD), Naive Bayes (NB-APD), and Gradient Boosting Classifier (GBC-APD). …”
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Biomarkers of Suicidal Ideation in Depression: Insights From VMHC Analysis and Machine Learning by Wang X, Liu F, Hu X, Zhang Q, Guan X, Wu J, Long X, Lu Z

“…Brain regions with significant differences between the groups were identified. A support vector machine (SVM) model was applied to evaluate the utility of VMHC values in distinguishing SI patients from non-SI patients with MDD.Results: Patients with suicidal ideation exhibited significantly increased VMHC values in the superior frontal gyrus, putamen, inferior temporal gyrus, and cerebellum compared to those without suicidal ideation. …”
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Understanding and Addressing Variability Through Recalibration in a Brain–Computer Interface for Intelligent Vehicle Control Using Long-Term Implanted Human Neural Data: A C... by Yicong Xiao, Spencer Kellis, Christopher. F Reiche, Florian Solzbacher

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Models of Ties between In-Company Personnel Training and Organization Competitiveness by A. V. Onoprienko

“…It points out to the necessity to focus on in-company personnel training. The author worked out the integrated version of models of ties in the organization competitiveness mechanism. …”
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A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles by Reza Jafari, Pouria Sarhadi, Amin Paykani, Shady S. Refaat, Pedram Asef

“…This work proposes a model-free RL-based controller with curriculum learning to train the strategy, where the model learns simpler tasks first, progressively increasing difficulty to enhance stability and convergence. …”
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Integrating Physical Unclonable Functions with Machine Learning for the Authentication of Edge Devices in IoT Networks by Abdul Manan Sheikh, Md. Rafiqul Islam, Mohamed Hadi Habaebi, Suriza Ahmad Zabidi, Athaur Rahman Bin Najeeb, Adnan Kabbani

“…The robustness of the proposed APUF against machine learning (ML)-based modeling attacks is tested using supervised Support Vector Machines (SVMs), logistic regression (LR), and an ensemble of gradient boosting (GB) models. …”
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