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526 articles for “modeling automation”
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1258–1284 Read article
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Wind Forecasting Using Various Neural Networks in Machine Learning
Abstract: Wind Power Forecasting, as the name applies is a process in which data of past is used to tell what kind of output can be expected from a wind turbine in the foreseeable future. Machine learning, can be said to be a derivation of artificial intelligence that makes it possible for the system to learn automatically and improve upon itself from faults, without needing to tell the system to do …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 2, 2021 · pp. 32–43 Read article
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Design Thinking: An Innovative Approach for Engineering Design and Technological Development
Abstract: The advancement in building construction industry such as building automation and building intelligence is becoming the new system requirements that have made the invention of IoT and embedded systems design and development more complex. Every organization is concerned about innovation because it is crucial to the expansion of both the organization and society as a whole. Innovation is anticipated to be an open-minded, design-based process, product, or organizational design. Both …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 3, 2022 · pp. 19–27 Read article
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Smart Contract: A New Buzz Word for Reliable Decentralized Network
Abstract: Blockchain technology has emerged as a foundational distributed-ledger architecture enabling decentralized, transparent, and tamper-resistant data management across diverse digital ecosystems. This paper presents an integrated review of blockchain fundamentals, consensus mechanisms, smart contract design, and real-world applications beyond cryptocurrencies. It discusses the evolution of smart contracts as automated, self-executing programs that remove intermediaries and ensure deterministic execution, while highlighting critical security vulnerabilities such as reentrancy, arithmetic overflows, and improper access …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 · pp. 35–41 Read article
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Application of Full Factorial Design for Optimizing Variables of Hydraulic Plunger Spring
Abstract: Compression Helical Spring has various applications in automobile. Spring stores the energy of deformation due to applied load and remains its original position, shape or size after the load is removed. Springs are further classified as leaf springs, springs. The design parameters of spring manufacturing consists of spring rate, pitch, free length, wire diameter, flat/round ends, circular ends, number of turns etc. Various researchers have conduct observations on springs with …
Published in Trends in Machine design · Vol. 7, Issue 1, 2020 · pp. 17–22 Read article
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Strategic Integration of Machine Learning in Polymer Composite Development: A Framework for R&D Portfolio Management and Technological Adoption
Abstract: The progress of advanced polymer composites is slow, costly and unpredictable due to traditional methods of trial-and-error research. As materials informatics and data-driven modeling speed up the process of discovering technology, there exists a huge disconnect between computational predictions on one hand and strategic decision-making on the other in research and development (R&D). To solve this issue, this paper presents the Agile Materials-Intelligence (AMI) Framework, a systematic combined methodology that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1272–2286 Read article
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The Integration of Machine Learning in VLSI IC Design
Abstract: It represents the first use of AI in the domain of integrating circuits, which has been impacted by it. The conventional VLSI design process that is now in use is replaced by this technology. The laborious manual concepts created by people have been replaced with automated design innovations. This development would trigger a profound change in the fields of AI education and hardware computation. With the introduction of contemporary chips, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Mechanical Performance Assessment of Hybrid FRP Laminates with Carbon Fiber Core Using Experimental and Numerical Approaches
Abstract: The high strength-to-weight ratio, corrosion resistance and design flexibility of Fiber-reinforced polymer (FRP) composites have attracted considerable attention in aerospace, automotive and structural applications. This work presents an experimental and finite element study on the tensile and flexural behavior of epoxy-based hybrid FRP laminates. Five laminate configurations were manufactured, including a unidirectional carbon fiber laminate and four hybrid laminates, Kevlar–Carbon–Kevlar (K/C/K), Glass–Carbon–Glass (G/C/G), Kevlar–Carbon–Glass (K/C/G), and Glass–Carbon–Kevlar (G/C/K). For all …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Design, Analysis and Fabrication of Composite Leaf Spring
Abstract: AbstractNowadays composite materials are one of the materials which are greatly attracting researchers. Reducing weight and increasing or maintaining the strength of materials is getting to be highly important research issue in this modern world. In this paper, design, fabrication and analysis of composite leaf spring have been presented. The objective is to design a composite leaf spring with reduced length and weight as compared to steel leaf spring. The …
Published in Journal of Polymer & Composites · Vol. 2, Issue 3, 2023 · pp. 4–14 Read article
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Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 Read article
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AUTOMOTIVE VALVE-TRAIN COMPONENTS DURABILITY ANALYSIS USING FINITE ELEMENT METHOD APPROACH: A REVIEW
Abstract: An internal combustion (IC) engine valves is poppet valves used to control the flow of air /fuel mixture in the engine and escape of exhaust combustible gases from the engine using intake and exhaust valves respectively. Inside an engine the combustion process majorly depends on timing of Air/Fuel mixture induction and release of gases. Both Intake and Exhaust valve also form a seal between the working space inside the cylinder …
Published in Trends in Machine design · Vol. 5, Issue 1, 2018 · pp. 54–66 Read article
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Optimization of Process Parameters for AISI 304 Using Micro-EDM Drilling Process Through Response Surface Method
Abstract: The increasing demand for micro-parts in high-tech products, such as micro-electromechanical systems (MEMS) applications and micro-electronic devices, has driven significant advancements in micromachining technologies. Among the various micromachining processes, the fabrication of accurate microholes and pins is critical for the performance and reliability of miniature components. Micro-hole drilling plays a vital role by enabling the production of deep holes with excellent straightness, roundness, and surface quality. It is widely used …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 37–47 Read article
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Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article
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Advancements in Metal-Plastic Hybrid Structures: Experimental Analysis and Design Optimization of 3D-Printed Honeycomb Frameworks
Abstract: The exploration of metal-plastic hybrid structures has gained significant attention due to their potential for lightweight, high-strength applications across industries such as aerospace, automotive, and construction. This study investigates the experimental and design enhancements of a metal-plastic hybrid structure utilizing a honeycomb architecture produced through 3D printing. By integrating metals with plastic polymers in a honeycomb configuration, this hybrid approach aims to combine the high strength and stiffness of metals …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 36–43 Read article
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Challenges in the Field of Soft Robotics.
Abstract: One of the interesting topics in robotics research of recent years has been Soft Robotics. Theuse of unconventional materials in robotic systems is an idea that is revolutionizing roboticsand automation. Robotic systems are being designed so that they can mimic biologicalsystems. The detailed study of interactions between a physical system and the environment iscrucial in developing this technology. Novel robotic components are being designed using softmaterials but the complexity of …
Published in Trends in Electrical Engineering · Vol. 10, Issue 3, 2020 · pp. 46–52 Read article
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Retrieval Augmented Generation for Question Answering in Financial Documents
Abstract: In recent years, the integration of Question Answering (QA) with the Retrieval Augmented Generation (RAG) system has transformed to interact with numerous documents. It uses Natural Language Processing (NLP) techniques to improve accuracy and relevant responses derived from huge documents. RAG integrates the advantages of the retrieval and generation process, which allows systems to generate natural responses and extract context from multiple sources. The main reason to use RAG is …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 62–68 Read article
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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 19–28 Read article
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BLOCKCHAIN-BASED DIGITAL ASSETS MANAGEMENT (CASE OF DECENTRALIZED AUTONOMOUS ORGANIZATIONS)
Abstract: The advent of Web 3.0 and the rise of decentralized applications (DApps) are reshaping the very fabric of the Internet. Gone are the days of centralized control, as Web 3.0 empowers users with greater privacy, security, and ownership over their data. Web 3.0 represents a paradigm shift from Web 2.0, which primarily relied on centralized platforms and intermediaries. The Blockchain technology is really important for the Web 3.0. It makes …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 Read article
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AI-Powered Chatbot with Sentiment Analysis, Summarization, and Q&A for Business Automation
Abstract: Artificial Intelligence (AI) chatbots have become increasingly significant in recent years due to their ability to automate a wide range of business operations, improve user interaction, and create more efficient customer support experiences. The development of such systems goes beyond simple rule-based responses and now integrates advanced natural language processing (NLP) techniques to deliver contextually relevant and human-like interactions. This study introduces a chatbot framework that incorporates three major components: …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 01–05 Read article
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A Comprehensive Survey on IoT-Enabled and Hand Gesture Controlled Robotic Arm Using Blynk IoT and OpenCV
Abstract: This venture presents an IoT-enabled and hand gesture-managed robot arm that operates in three distinct modes: automated control, IoT-based control via the Blynk app, and gesture-based control using OpenCV. The gadget integrates a NodeMCU microcontroller for wireless verbal exchange and management, with MQTT protocol enabling real-time messaging among the devices. In automated mode, the robotic arm plays predefined tasks autonomously. In IoT mode, users can remotely manage the arm using …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 35–40 Read article