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1888 articles for “model analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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ML Model Comparison for Sentiment Analysis Across Diverse Datasets
Abstract: Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences. This study compares the performance of seven different machine learning algorithms for sentiment classification, focusing on their effectiveness, accuracy, and complexity. The research is conducted on a pre-processed dataset with balanced text samples, utilizing feature extraction methods such as Term Frequency-Inverse Document Frequency (TF-IDF). The performance assessment criteria consist of accuracy, precision, recall, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 26–33 Read article
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Cardiovascular Modeling with Computational and Mathematical Methods
Abstract: The cardiovascular system, a complex network responsible for delivering life-sustaining oxygen and nutrients throughout the body, is a prime target for advanced understanding and improved therapies. Due to the inherent difficulties in directly observing internal physiological processes and the complexities of interactions within the system, computational and mathematical modeling have emerged as powerful tools in cardiovascular research. This article explores the significance of these methods in unveiling the heart's secrets …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 11–21 Read article
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A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection
Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Analysis of Nonlinear Dynamic Model of Ball Bearing with Effect of Internal Radial Clearance
Abstract: It is a critical process to determine the response of rolling element bearing vibration using dynamic behavior analysis. Rolling element bearing works on the principal of transmission of load from moving race to stationary race. Generally outer race is fixed and load transmission takes place from inner race to outer race. In rolling bearing analytical formulation, the contact between rolling element and raceways is considered as nonlinear springs and their …
Published in Trends in Mechanical Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 1–8 Read article
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A Comprehensive Review of Mathematical Modelling using Graphs
Abstract: This article provides a detailed insight into the applications and methods of mathematical modeling using graphs. Graph theory has proven to be a powerful tool for representing and analyzing complex systems in diverse fields such as computer science, social networks, transportation, biology, etc. This paper covers the importance of graph theory for solving real-world problems. Mathematical modeling using graph theory includes graphical representations, algorithms, and their applications in network analysis, …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 2, 2023 · pp. 28–34 Read article
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Magnetorheological Composite Dampers for Railway Wagon Suspension: Modelling Validation and Performance Analysis
Abstract: Railway wagons encounter continuous vibrations due to track irregularities, resulting in reduced ride comfort and higher dynamic loads. Conventional suspension systems based on springs, hydraulic dampers, or air suspensions provide only limited vibration mitigation. This work investigates the application of magnetorheological (MR) fluid-based dampers, where a polymeric carrier oil (silicone oil) reinforced with carbonyl iron particles serves as a smart composite suspension medium. The MR fluid is synthesized and characterized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 43–63 Read article
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Prototype Model Development and Design Analysis of A Solar Tricycle for Physically Challenged People in India
Abstract: Society is greatly concerned about the mobility of individuals with physical disabilities. The scarcity of energy resources and the issue of pollution are currently the primary concerns. These issues can be resolved by employing alternative energy sources such as solar power. This paper presents an overview of the existing solar tricycles designed for those with disabilities. It also improves a handicapped-friendly solar-powered tricycle. The goal is to reduce handicapped people's …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 1, 2023 · pp. 43–56 Read article
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Incorporating Mobility to Sensor Networks during Node Failure and Their Analysis for Radio Propagation Models
Abstract: AbstractWireless sensor networks are expected to find wide applicability and increasing deployment in the near future. It consists of spatially distributed autonomous sensors to monitor physical or environmental conditions and to cooperatively pass their data through the network to a main location. The more modern networks are bi-directional, also enabling control of sensor activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance, many …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 1, 2014 · pp. 29–35 Read article
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Comparing and Analysis of Various Automated Model for Number Plate Detection
Abstract: In this paper, we analyze the results by comparing different methods to identify the number plate and it is more suitable for detecting the number plate involved in accuracy and image processing than any other model. This paper presents the usage of pictures for physical changes. The page refers to the different advances required to extract content from any picture record and makes a different book document, including information removed …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 2, 2021 · pp. 20–24 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Modelling of Spot Weld Features Using Solid Works and Experimental Modal Analysis of Resistance Spot Welded Thin Sheets of Low Carbon Steel Panels
Abstract: Resistance Spot Welding of thin (RSW) low carbon steel sheets are widely used in automotive, aero-space sectors, furniture, medical equipments, packaging and electronics industries. Although, RSW is well established for low thickness sheets and static design guidelines are well defined, the dynamic analysis of spot welded panels has not been studied in detail. In this paper, solid modeling is done using Solid Works incorporating all the spot weld geometrical features …
Published in Trends in Machine design · Vol. 10, Issue 3, 2023 · pp. 29–39 Read article
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Social Media Analysis Using Big Data
Abstract: Social media has become an essential aspect of everyday life across different age groups, serving functions ranging from sharing personal updates to staying informed about social developments. Our objective is to harness big data to extract meaningful insights from the immense and ever-expanding volume of data generated on social media platforms. We will collect and analyze data from various social media sources, including text, images, and user interactions, using cutting-edge …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 35–46 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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Modal Analysis of RC Masonry Infill Model and Prototype Frames with Openings
Abstract: Modal evaluation is the technique of figuring out the inherent dynamic traits of the shape in phrases of herbal frequencies and mode shapes and the usage of them to create a mathematical version for its dynamic behavior. The dynamics of a structure is defined by frequency and position. Modal evaluation offers the records regarding to exceptional modes of vibration, exceptional form that may be taken up via way of means …
Published in Journal of Structural Engineering and Management · pp. 13–21 Read article
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Modal Analysis of RC Masonry Infill Model and Prototype Frames with Openings
Abstract: Modal evaluation is the technique of figuring out the inherent dynamic traits of the shape in phrases of herbal frequencies and mode shapes and the usage of them to create a mathematical version for its dynamic behavior. The dynamics of a structure is defined by frequency and position. Modal evaluation offers the records regarding to exceptional modes of vibration, exceptional form that may be taken up via way of means …
Published in Journal of Structural Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 13–21 Read article
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Implementation and Analysis of Internet Protocol TV Content Distribution Network Traffic Modeling in NS2
Abstract: Traffic analysis and modeling is an important approach to study network applications. In the past decade, numerous types of Internet and multimedia application traffic have been extensively studied and the result of this research shows that such traffic has the feature of self-similarity. Contrasted and these customary applications, IPTV has an alternate construction modeling and client practices. Thus, the attributes of IPTV movement vary from those of conventional applications and, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 3, 2015 · pp. 6–12 Read article
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Mathematical Models for COVID-19 Pandemic: A Comparative Analysis
Abstract: The COVID-19 pandemic has really underlined the importance of mathematical modeling in understanding disease-spread dynamics and especially informing public health interventions. The paper aims to provide a comprehensive comparative analysis of various mathematical models used for COVID-19 studies, with a focus on assumptions underlying those models, strengths, and also the limitations in their applications as well as special focus is given to compartmental models, agent-based models, machine learning-enhanced models, and …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 42–53 Read article
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Automatic characteristic analysis method of multi-degrees-of-freedom planetary gear train based on graph theory
Abstract: The purpose of this paper is to develop a computer-aided analysis method of the planetary gear train (PGT) based on graph theory. In this paper, a novel graph model is developed to represent the structure of the PGTs. Then, according to the gear shift strategy, the characteristic analysis models are deduced for each operating mode. The structure of the graph model is efficiently described through several variations of the incidence …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 2, 2026 Read article
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Development of Novel Polymeric Articulating Papers for Enhanced Occlusal Contact Assessment in Dentistry
Abstract: Traditional articulating papers, a mainstay in occlusal analysis, often exhibit limitations in consistency and difficulty with quantitative data analysis. This study explores the development of novel articulating papers utilizing advanced polymeric materials. These novel papers aim to address the shortcomings of traditional options by potentially improving: (1) sensitivity and resolution for capturing occlusal contacts, (2) consistency and reproducibility of contact readings, and (3) durability and reusability. The successful development of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1004–1011 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article