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419 articles for “model selection”
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Simulation of Electrostatic Microactuator with Two-Sided Electrodes
Abstract: Microcantilevers are the basic MEMS structures, which can be used as both sensors and actuators. The objective of this work is to study the concept of two-way deflection of the cantilever due to applied voltage and the ground. The proposed work is carried out by using Comsol/Multiphysics software which is based on the finite element method (FEM). The proposed work is modeled and simulated by selecting electromechanics as the physics …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 1, 2015 · pp. 10–15 Read article
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Optimization of Process Parameters for ABS, Nylon, Polypropylene Material in Injection Molding Using Taguchi Method
Abstract: The process of plastic injection molding (IMP) itself is a multifarious of time, temperature and pressure variables with a profusion of manufacturing defects that can occur without upright fusion of processing parameters and design components. Ascertaining the reform foremost process parameter settings commentative dominates productivity, quality, and costs of production in the plastic injection molding industry. Most plastic injection molding industries are using trial-and-error method/approximation method, based on experience of …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 1–9 Read article
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Time-Cost-Quality Analysis for Construction of A Small House
Abstract: The clients of the industry focus mainly on time and cost of the project, they seldom focus on quality. For them if a project is completed within time and least cost overruns then the project is success and if not then its failures. A project manager should educate the client about the project site problems keeping in mind client’s demand and expectations. He should maintain the equilibrium for getting the …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 1–8 Read article
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Flood Frequency Analysis of Big Akaki River, Awash Basin, Ethiopia
Abstract: Flood is one of the most dangerous naturally occurring catastrophic hazards now days displacing and killing people and destroying properties. During high flow, the Big Akaki River flooded the vicinity of the area and causes loss of cultivated land and life. Flood water inundates the floodplain areas and cause vast damages to life and property. The main objective of this paper is to analyze the inundation area along the Big …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 35–48 Read article
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Application of Grey Wolf Optimizer (GWO) strategy for Malware Analysis
Abstract: The ever-evolving landscape of cybersecurity necessitates continuous advancements in malware analysis techniques. This study explores the deployment of the Grey Wolf Optimizer (GWO) algorithm as a novel bio-inspired optimization mechanism to address the challenges posed by modern malware threats. The primary objective is to enhance various facets of malware analysis, including feature selection, parameter optimization, and the overall efficacy of malware detection models. The study begins by introducing the GWO …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 43–53 Read article
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Exploring the Development of AI Models Using Open-Source Tools to Predict Patient Outcomes and Optimize Treatment Plans
Abstract: Integrating artificial intelligence (AI) into healthcare offers a transformative opportunity to enhance patient care and clinical decision-making. Through the use of predictive analytics, AI can significantly enhance the accuracy of outcome predictions and assist in developing personalized treatment plans that cater to each patient’s specific needs. This paper delves into the development of AI models using open-source tools, which are increasingly favored for their accessibility, collaborative nature, and capacity for …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 37–49 Read article
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Advanced Design and Prototyping with Fabrication, Architecture, And Material Design Techniques For 3D Printing Hybrid Polymer Composites
Abstract: Hybrid polymer composites are big steps forward in the field of 3D printing. They combine different materials to improve their engineering qualities, usefulness, and use potential. This essay looks at the advanced design and testing methods needed to use 3D printing to make and create mixed polymer materials. First, we look at material design methods, with a focus on choosing plastics and support materials that help the composite have the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 22–36 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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Optimum Mixture Proportioning of Sawdust Ash Blended Sand-Stone Dust Blocks Using Scheffe’s Regression Theory
Abstract: This study carried out an experimental investigation on the compressive strength of sawdust ash blended sand-stone dust block of size 450 x 225 x 150 mm using Scheffe’s (5, 2) regression theory. The compressive strength of sawdust ash blended sand-stone dust blocks obtained based on fifteen trial mix ratios were used to develop the mathematical model while the results of the compressive strength values obtained based on the additional fifteen …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 2, 2023 · pp. 33–40 Read article
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A True Experimental Study to Assess the Effectiveness of Cognitive Behavioral Therapy on Low Self-Esteem Among B.Sc. 1St Year Students in Pt. Jwala Prasad Upadhyay Govt. College Patna, Korea (C.G.)
Abstract: Self-esteem is vital for an individual’s well-being and quality of life. Struggling with low self-esteem can lead to negative behaviors and unfavorable outcomes. Cognitive behavioral therapy (CBT), a well-established psychological approach, effectively addresses mental health issues like low self-esteem. By focusing on unhelpful thought patterns and behaviors, CBT supports individuals in fostering a more positive self-image and enhancing emotional health. This study aimed to evaluate the effectiveness of CBT in …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 1, 2025 · pp. 21–24 Read article
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Analysis of a Communication Link Performance Across Various Rayleigh Channels in Tropical Climates
Abstract: Tropical regions are characterized by intense and persistent rainfall throughout most of the year, and this environmental condition significantly influences wireless communication performance. The continuous presence of heavy precipitation weakens, scatters, and disrupts radio frequency signals, causing noticeable attenuation during transmission from the source to the destination. As a result, reliable communication becomes challenging, particularly for modern high-speed systems such as 5G networks. To address this limitation and enhance communication …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 06–12 Read article
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Polymer Nanocomposites and Functional Materials for Lithium-Ion Battery Supercapacitor Hybrid Energy Storage Systems: Materials, Interfaces, and Performance Perspectives
Abstract: The growing need for high-performance energy storage solutions in electric vehicles, renewable energy applications, portable electronics, and other sectors has accelerated research and development efforts in Lithium-Ion Battery–Supercapacitor Hybrid Energy Storage Systems (HESS). By combining the high energy density of lithium-ion batteries with the high power density and fast charge/discharge characteristics of supercapacitors, HESS offers a promising approach to meeting diverse energy storage requirements. Nevertheless, several critical challenges remain that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 96–113 Read article
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Visualizing And Forecasting Stocks Using Single Page Application
Abstract: In the fields of finance and economics, stock price forecasting is a vital and crucial subject. The stock market is not governed by any significant rules that may be used to anticipate or estimate the price of a stock. In an effort to forecast the price in the stock market, several techniques are employed, including technical analysis, fundamental analysis, time series analysis, statistical analysis, etc. However, none of these techniques …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 2, 2022 · pp. 23–28 Read article
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A Review of Business Process Re-engineering with Focus on Critical Success and Failure Factors
Abstract: This paper presents a literature review of business process re-engineering (BPR). Although there are a number of BPR articles in the literature, there is still lack of literature review in this field that focuses on the success and failure factors behind implementing BPR. The drive of this review is to gain a basic as well as greater understanding of the critical success and failure factors in implementing BPR. In doing …
Published in Journal of Production Research & Management · Vol. 7, Issue 2, 2017 · pp. 1–7 Read article
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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Impact of Topical Pure Honey Application on Radiation-induced Oral Mucositis in Patients Receiving Radiation Therapy
Abstract: This quasi-experimental study assessed the effects of pure honey on radiation-induced oral mucositis in patients with head and neck cancer undergoing radiation therapy in Kottayam. The primary objectives were to evaluate the severity of oral mucositis in both experimental and control groups, determine the effectiveness of honey in alleviating symptoms, and examine the relationship between mucositis severity and selected demographic variables. Utilizing Bertalanffy’s General System Model as a conceptual framework, …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 14–18 Read article
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Data Structure Driven Probabilistic Deadlock Resolution in Multiprocessor Systems
Abstract: Deadlock resolution in multiprocessor systems is fundamentally a graph-theoretic and probabilistic decision problem. Existing victim selection heuristics, such as youngest, oldest, and lowest priority, apply static rules that overlook the dynamic runtime state of processes, leading to unnecessary computational loss. This paper reframes the inference-guided preemption (IGP) algorithm as a data-structure-centric solution, highlighting how resource allocation graphs, wait-for graphs, adjacency lists, min-heaps, and hash-based evidence stores interact to enable efficient …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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Multiple Disease Prediction Using Machine Learning Algorithms
Abstract: The incorporation of machine learning algorithms into healthcare has transformed disease prediction and diagnosis. This research introduces a method for predicting various diseases using machine learning techniques. A comprehensive dataset, consisting of patient records, medical histories, and key disease-related features, was utilized to build predictive models. Data preprocessing methods, including feature selection and normalization, were implemented to clean and prepare the dataset. Several machine learning algorithms, such as Decision Trees, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 34–38 Read article
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A Comprehensive Study on Improving Contact Lens Performance Through Various Approaches
Abstract: Contact lenses improve vision quality by correcting refractive errors and thus provide a convenient alternative to traditional eyeglasses. Apart from vision enhancement, they have multiple applications in cosmetics, drug delivery, and therapeutic use. The performance of these lenses depends on various factors such as material, design, fitting, and interaction between the lens and the eye. The selection of appropriate materials is crucial for maintaining optimal eye health. Properties like oxygen …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 211–222 Read article
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AI-Driven Multi-Objective Optimization of Conductive Polymer Composites for High-Performance Flexible Electronics
Abstract: The development of conductive polymer composites (CPCs) is critical for advancing flexible and wearable electronic technologies. However, the conventional trial-and-error approach to material formulation is time-consuming and often inefficient due to the high-dimensional nature of the design space. This study introduces a novel AI-driven framework that integrates machine learning (ML) with multi-objective optimization to accelerate the discovery of high-performance CPCs. A dataset of 1,000 experimentally reported formulations was compiled, capturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 734–745 Read article