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1741 articles for “process model”
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Adaptive Trust-Aware Post-Quantum Secure Federated Learning with Dynamic Differential Privacy
Abstract: FL allows multiple users to train the machine learning model and ensure that they cannot share their raw data. Post-quantum secure aggregation and differential privacy for FL are introduced by the Beskar Framework; it assumes that all selected nodes will perform reliably. Due to hardware faults, network failures, or malicious intent, some of the assisting nodes may perform unreliably while we are developing it in the real-world. To assist the …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 · pp. 38–44 Read article
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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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Web Development Using Software Development Life Cycle (SDLC)
Abstract: One of the most powerful, essential, and significant issues in the computer industry is software project development. It is a stage in the software development life cycle (SDLC). The SDLC focuses on minimizing risk and failure while maximizing software product quality. Without a good step-by-step producing technique, the software development process is extremely difficult, hence the software development life cycle was created to make the process easy and systematic. This …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 3, 2022 · pp. 31–35 Read article
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A Multi-Layer Architecture for Intrusion Tolerant Web Services
Abstract: Web services as basic building blocks for next generation distributed systems, play a crucial role in these days enterprise application architectures. The flexibleness and openness of the net services computing model will expose company information and business processes to security risks. To support vital applications, the present net service models got to be extended to assure survivability. During this paper we have a tendency to gift a multi-layer design for …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 33–39 Read article
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Design and Fabrication of Wave-Powered Generator
Abstract: Abstract The present paper describes the concept of developing a wave-powered generator for converting wave energy of water to a constant direct current and storing the converted energy in small battery cells which are connected in series. The task in the present project work is to produce electricity in the most efficient manner by means of induction and to create a low weight model for the same. The fundamental basis …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 9, Issue 1, 2019 · pp. 1–5 Read article
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Optimal Floor Design of Production Workshop for Manufacturing Unit Using Genetic Algorithm for Efficient Performance
Abstract: Abstract: In today’s competitive market, producing industries need to satisfy additional numerous queries from the market, like widening the merchandise ranges, increasing quality and precise the delivery time. Manufacturing sector of production industries spends a huge amount of money and wealth on design and reallocation of available facilities. For an organization to have an effective and efficient manufacturing unit, it is important that optimal usage and design of facility layout …
Published in Journal of Instrumentation Technology & Innovations · Vol. 9, Issue 1, 2019 · pp. 19–28 Read article
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Study and analysis of the Double Data Rate SDRAM Controller for High-speed Interfacing with Processing Device
Abstract: A real-time embedded system must now manage many programs running concurrently. Increased Data Rate Because of its burst access, speed, and pipeline features, synchronous DRAM is a typical memory-building material. DDR transfers are performed using synchronous dynamic access memory. The memory controller must be set with a pipelined design for various applications and systems to perform effectively. The purpose of this study is to design a DRAM controller that will …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 8–13 Read article
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Effect of Burnishing on the Surface Quality and Hardness of ABS Plastic Samples Fabricated with Fused Deposition Modeling
Abstract: Quality of surface is one of the important factors to decide the performance of a manufactured product. Fused deposition modeling has been used to fabricate the stepped cylindrical samples for surface roughness evaluation. The axis of the stepped cylinder was oriented as horizontal to minimize the time of fabrication. Evidently the surface quality was not satisfactory due to the staircase effect. Using burnishing process, an attempt was made to improve …
Published in Journal of Production Research & Management · Vol. 5, Issue 1, 2015 · pp. 8–13 Read article
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Physics-Informed Machine Learning and Multiscale Modeling for Structure–Property Quantification of Polymer Composites
Abstract: The growing need for light-weight, high strength, and sustainable polymer composites has led to the development of smart methods that enable accurate structural-property quantification and material design. However, conventional methods have been predominantly data-based, thus ignoring physical constraints as well as multi-scale interactions involving fiber, matrix, interface, and process parameters, leading to lower accuracy and poor robustness and interpretability of the models. In this study, a Cat Swarm Optimization-Tuned Physics-Informed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Stock Market Prediction Using Machine Learning: Techniques, Challenges, and Future Directions
Abstract: The continuous advancement of machine learning (ML) technologies has significantly transformed the field of financial forecasting, particularly in the area of stock market prediction. The ability to accurately forecast stock price movements and market trends plays a crucial role in supporting informed investment strategies and effective risk management. This paper provides a comprehensive review of recent developments in the application of ML techniques for predicting stock market behavior. It classifies …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article
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Assessing and Ranking Health, Safety and Environmental Risks Through Analytical Network Process (ANP) Method in Cement Plant in 2020
Abstract: In today's competitive world, decision-making and management are based on risk assessment.Accordingly, the present study deals with assessing and managing the risks of Health, Safetyand Environment (HSE) aspects in cement factory through combining three widely usedmethods including FMEA, William and Fine, and EFMEA to determine and estimate the levelof risk, and to control and mitigate this risk using analytical network process (ANP) method.In this research, three ANP models were used …
Published in Journal of Industrial Safety Engineering · Vol. 7, Issue 3, 2020 · pp. 23–35 Read article
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Classification of Pattern using Spline Function and Statistical Data Mining: Review Paper
Abstract: ABSTRACTMany people are affected by lung diseases. Respiratory diseases are curable in early detection. Spirometry is valuable for diagnosing specific lung disorders as well as detecting lung disease at an early stage. Spirometry is most widely used pulmonary function test that is essential to measure the volume of air exhaled from the fully inflated lung as a function of time. The output of spirometry is inthe form of graphs i.e., …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 37–42 Read article
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Simulation and Experimental Studies on the Effect of Injection Moulding Parameters on Tensile Properties of ABS Thermoplastic Specimen
Abstract: AbstractThe injection moulding process is the most widely used method of manufacturing Engineering thermoplastics. Thermoplastic blends and composites are suitably replacing metals and ceramics in most circumstances. This trend is mainly due to the versatility and compatibility of the injection moulding process. However, the injection moulding conditions has a significant impact on the aesthetic and functional characteristics of the final product as the flow induces substantial variation in the properties …
Published in Journal of Polymer & Composites · Vol. 3, Issue 2, 2015 · pp. 1–10 Read article
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Improved Global Region based Chan-Vese Model
Abstract: Chan-Vese model is one of the fundamental active contour models for image segmentation. In this paper, the authors propose an improved global region based Chan-Vese model which provides solution to some limitations of basic Chan-Vese model. The proposed model avoids re-initialization requirement to increase speed of algorithm by reaction-diffusion method. The stopping criterion to stop segmentation process is also added in the model. To make model automatic, initialization free feature …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 2, 2014 · pp. 15–21 Read article
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Selection of Bio-implant Materials using Entropy and Analytic Hierarchy Process
Abstract: Biomaterials are artificial or natural materials that replace the diseased or damaged organic systems to improve the durability and quality of human life and provide a pain-free life for patients with a range of motions adequate for daily activities. These materials must be mechanically strong and must be amicable to human body. To ensure mechanical behaviour properties such as tensile strength, yield strength, fatigue strength and wear resistance must be …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 4, Issue 3, 2017 · pp. 15–21 Read article
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AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article
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Modeling of Temperature Data of Coal Samples by Event-Time Continuum Analysis
Abstract: Time-event based analysis of temperature data modeling for coal samples by thermal camera and type-k thermocouple in algebraic approach are presented in this paper. Obtaining of different value for an identical factor, temperature (T), from coal and analysis of their acquiring mechanism in the light of mathematical morphism (→) are required to be defined with respect to time yet. Without proper interconnective function between two individual data modeling techniques of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 6, Issue 1, 2016 · pp. 16–35 Read article
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Autonomous Agentic AI for Adaptive Cure Optimization and Defect Prevention in Thermoset Polymer Composite Manufacturing
Abstract: Thermoset polymer composites occupy a central position in modern structural manufacturing, from aircraft fuselages to wind-turbine blades. Despite progress in resin chemistry and fiber architecture, the “cure process” that transforms compliant preforms into load-bearing structures remains difficult to manage. Manufacturers encounter ‘voids’, “interlaminar delaminations”, and “spring-back distortion” when curing complex or thick-section parts. The cause is not ignorance of the relevant physics, but rather that ‘temperature’, ‘chemistry’, ‘rheology’, and ‘mechanics’ …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 301–320 Read article
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Ameliorating Surface Roughness and Tensile Strength of ASA Fabricated Parts by Analyzing Significant FDM Printing Parameters Using Response Surface Methodology
Abstract: The constantly growing demand for acrylonitrile styrene acrylate (ASA) polymer in the automotive market to its use for fabricating different components such as dashboards, the interior, lights, and electrical components challenges manufacturers to continuously optimize its mechanical properties to meet consumer demand. Despite the widespread availability of three-dimensional (3D) printing techniques, research on the most efficient and cost-effective methods of producing ASA-printed components is still indispensable. Therefore, the purpose of …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 1–12 Read article
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Artificial Intelligence Based Plant Disease Detection
Abstract: This paper analyses the advanced Neural Network (NN) techniques for hyperspectral data processing, with a particular focus on detecting plant disease. To initiate, we will discuss the NN mechanism, types, models, and classifiers that are used to process the hyperspectral data using different algorithms. Following that, this project discusses the current state of imaging and non-imaging hyperspectral data for early screening and diagnosis of Disease. The NN-hyperspectral hybridization method has …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 11–24 Read article