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1390 articles for “application development”
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Visual Recognition with Convolutional Neural Networks for Object Detection
Abstract: Various research and development have taken place over the years on computer vision which is a branch of AI. AI disciplines like a vision system is applied in various fields like self-driving cars, face detection by social media apps and law enforcement software’s google lens and so on. The proposed system deals with design and implementation of an efficient way of training a GPU using python libraries to process and …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 07–13 Read article
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AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
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Parametric Investigations of Melt Flow Index for Nylon6-Mica Composite Based Hybrid FDM Filament
Abstract: The development of new hybrid filaments with improved mechanical and thermal properties has been driven by the increasing need for high-performance materials in additive manufacturing. This study explores the parametric investigations of the Melt Flow Index (MFI) for Nylon6-Mica composite-based hybrid Fused Deposition Modeling (FDM) filament. The investigation uses the Taguchi technique to examine how different extrusion temperatures, loads and the percentage of Mica filler affect the MFI, a critical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 165–173 Read article
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Automated Crop Disease Detection Using Convolutional Neural Networks
Abstract: Crop diseases contribute to major losses in agricultural production worldwide generating enormous economic costs. This study investigates the possibility of Convolutional Neural Networks (CNN) imaging techniques to auto-detect diseases associated with plants through image processing. A model was developed and trained on a publicly available plant disease dataset containing labeled images of several diseases. The CNN could classify various plant diseases with accuracy of 95%, precision of 92%, and recall …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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Synergistic Effect of Green Nanofillers on Basalt–Kenaf Reinforced Sustainable Polymer Composites
Abstract: This study examines the synergistic impact of green nanofillers on the mechanical and structural properties of basalt–kenaf fiber reinforced polyester composites, with the objective of developing sustainable, high-performance polymer materials. The composites were produced with different fiber ratios: B1 (70% basalt, 30% kenaf), B2 (60% basalt, 40% kenaf), and B3 (50% basalt, 50% kenaf), and were reinforced with 1 wt.% green-synthesized nano-TiO2, obtained using an eco-friendly sol–gel technique with plant …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1248–1262 Read article
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Quantum-Fuzzy Tensor Operators and Uncertainty-Band Bifurcation for Symmetry-Preserving State Discrimination
Abstract: A tensor-operator framework is developed for fuzzy conjunction, fuzzy disjunction, and symmetry-preserving state discrimination in multi-qubit quantum systems. In this formulation, fuzzy membership and non-membership degrees are represented through expectations of effect operators acting on density matrices, providing a natural bridge between fuzzy logic and quantum measurement theory. Conjunction and disjunction operations are extended to the quantum domain via tensorised channels, constructed using projective measurements and unitary transformations, enabling logical …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 08–15 Read article
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ESP32 CAM-based Surveillance Car with Tilt, Pan, and Zoom Capabilities: A Review
Abstract: This project focuses on developing a mobile surveillance robot using a Wi-Fi-enabled module controlled via a smartphone, designed for discreet observation and remote monitoring. The spy robot system includes essential hardware such as a camera, motor drivers, batteries, and wheels for movement. The main component is the AI Thinker ESP32-CAM module, featuring an ESP32-S processor and OV2640 camera, capable of capturing and streaming video at 640x480 resolution. The camera offers …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 31–37 Read article
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Sole mate-Electronic Shoes to Assist Visually Challenged
Abstract: Making daily living easier has always been a goal of technological development. Everyone in today's fast-paced world uses technology to their advantage, except for some regions. Society. One of them is visually impaired and must contend with many difficulties on a regular basis. One of their biggest issues is getting around, such as crossing roads, taking trains, or going to public places, all of which frequently require human help. Occasionally, …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
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Chemical Modifications of Polymer for Improved Anti-Microbial Action
Abstract: Infections caused by pathogenic microorganisms are a significant concern. Polymers, large molecules formed by chemically connecting monomers, have acquired significant interest due to their intrinsic properties. Polymers function as a matrix for the components that contain antibacterial agents. Developing polymers with antibacterial activity is a crucial research area that aims to alleviate the problem of microbe contamination. The antibacterial polymers typically exhibit prolonged effectiveness. Modification of polymers enhances their anti-microbial …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1919–1931 Read article
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Sustainable Development of Carbon–Sisal Reinforced Polyester Composites through Green Nanotechnology
Abstract: This study presents the sustainable development of carbon–sisal fiber reinforced polyester composites enhanced through green nanotechnology for improved mechanical performance and environmental compatibility. The hybrid composites were fabricated using varying fiber ratios - C1 (70% carbon, 30% sisal), C2 (60% carbon, 40% sisal), and C3 (50% carbon, 50% sisal) - with an optimized addition of 1 wt.% nano-silica (SiO2) synthesized via a green sol–gel route. The tensile, flexural, and impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1179–1194 Read article
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Blind Image Quality Assessment using NSS Approach in the DCT Domain
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment. This algorithm does computation for the parameters which user expect at output. The certain extracted features approach depends on a simple Bayesian inference model to dipict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The resultant parameters of the model are …
Published in Recent Trends in Electronics Communication Systems Read article
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Mechanical and Sustainable Enhancement of Epoxy Composites using Tamarind Seed Powder
Abstract: The investigation examines how tamarind seed powder affects epoxy-based materials for the development of waste-based useful products. The research examines the mechanical behavior of epoxy resin composites which contain tamarind seed powder in increasing percentages spanning from 10% to 40%. The team utilized the hand layup method to produce the composites which then fulfilled the ASTM guidelines for specimen fabrication for mechanical tests. The study examined fundamental mechanical parameters by …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 797–806 Read article
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Assessing the Performance of DL Methods in Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a computer vision task that involves the automatic identification and classification of hand-written digits. The objective is to develop models capable of accurately recognizing and distinguishing digits handwritten by humans. With the development of machine learning and deep learning techniques, this field has advanced remarkably. The convolutional neural network (CNN) is the most often used technique for this purpose. By utilizing CNN, the model can learn …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 25–32 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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Eco-friendly Azadirachta Indica Ash and Miscanthus Fiber Brick for Carbon Neutrality Environment
Abstract: Naturally grown fiber are not utilized properly they are neglected as wastes. These resources are thrown away due to insufficient research being conducted to discover viable uses for naturally existing fibres. These byproducts have a wide variety of applications in the manufacturing sector, notably in the construction sector. The prospective applications of miscanthus fibre, which may be found growing wild in uncultivated places, are investigated in this research. The production …
Published in Journal of Polymer & Composites Read article
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Analysis aspects of pressure tank: A review
Abstract: This review paper presents a detailed analysis of pressure vessels, focusing on finite element analysis (FEA) to evaluate structural integrity. Pressure vessels are widely used in industries such as chemical processing, power plants, and oil refineries, where they are subjected to extreme temperature and pressure conditions. Ensuring their safe and efficient operation requires a thorough understanding of stress distribution, deformation characteristics, and failure mechanisms. This study reviews existing research on …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 49–55 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
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Development and Analysis of Novel Silver Ion-Conducting Glass-Polymer Electrolytes
Abstract: The development of efficient and stable solid electrolytes is crucial for advancing energy storage technologies such as solid-state batteries and electrochemical devices. In this study, a novel series of silver ion-conducting glass–polymer electrolytes (GPEs) based on the composition (1–x) PEO: x[0.75AgI:0.25(Ag₂O:WO₃)] with x ranging up to 50 wt.% was synthesized and thoroughly analyzed. Unlike conventional techniques such as solution casting or sol–gel methods, these GPEs were fabricated using an innovative …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 600–605 Read article
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Valorization of Fruit and Vegetable Wastes for CA Production: A Comprehensive Review with Emphasis on Aspergillus niger Bioprocessing and Future Prospects
Abstract: Citric Acid (CA) is a multifunctional organic acid with diverse industrial applications, recently gaining prominence in polymer and composite science as a green crosslinker, compatibilizer, and functional additive. Conventionally produced through submerged fermentation of refined sugars by Aspergillus niger, industrial CA production faces sustainability challenges due to reliance on food-grade substrates. This review highlights emerging strategies for CA biosynthesis from vegetable and fruit processing residues—including cucumber peels, broccoli stalks, spinach …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 807–822 Read article