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901 articles for “processing techniques”
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Machine Learning Based Early Cataract Detection: A Predictive Modeling Approach
Abstract: Cataracts, characterized by dense cloudy areas in the eye’s lens, afflict more than 50% of elderly individuals, leading to impaired vision and potential blindness. Detecting cataracts at an early stage is crucial to facilitate simpler treatments, as neglecting the condition may necessitate complex eye surgery. To address this issue, we are creating a predictive system that identifies cataract disease by analyzing user-provided eye features. To achieve this, we leverage OpenCV, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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An Adaptive Approach for Real-Time Embedded System Design, Analysis and Optimization
Abstract: Real-time embedded systems are critical components in various domains, such as automotive, aerospace, healthcare, and industrial automation. The design, analysis, and optimization of these systems are vital to ensure their reliable and efficient operation. In this paper, we propose an adaptive approach for real-time embedded systems that aims to address the challenges faced during the development process while maintaining high-quality results. Our approach leverages adaptive techniques to dynamically adjust the …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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Study and Thermal Analysis of a Rectangular Duct with Z-shaped Baffle Using Ansys
Abstract: This project aims to enhance heat transfer in a rectangular duct by utilizing Z-shaped baffles. It involves creating a 3D CAD model using SolidWorks and validating it in ANSYS Fluent 2019 R2. The study focuses on analyzing the effect of baffle arrangement, height, and angle on heat transfer rate. Comparative analysis is conducted between rectangular ducts with a 60° angle and heights of 4 mm, 6 mm, and 8 mm. …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 2, 2023 · pp. 14–30 Read article
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Deep-globe Challenge for Road Extraction Using Convolution Neural Network
Abstract: High-resolution lackey pictures contain a riches of information. They're too intense to decipher. For various operations, it's vital to snappily and straightforwardly distinguish streets from fawning pictures. The thought is to create a bracket demonstration to prize street systems from today’s pictures. The technique of the proposed strategy is grounded on the pre-processing of the disciple information to enhance the picture quality, which in turn comes about in superior comes …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Au@Sio2@PVP-DCMD Membranes: A Breakthrough in Heavy Metal Removal and Antibacterial Defense
Abstract: This study investigates the development and characterization of multifunctional gold-doped silica (Au@SiO₂) membranes for water distillation and antibacterial applications. The manufacturing process integrated gold nanoparticles into silica matrices using sol-gel techniques. Structural analysis was conducted using SEM (showing uniform pore distribution with an average pore size of 40-50 nm), FTIR (confirming Si-O-Si and Si-Au-Si bonding peaks at 525 cm⁻¹ and 1310 cm⁻¹ respectively), EDX (revealing gold nanoparticle content of 1.5 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 13–27 Read article
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Comparative Analysis of 3D Printed Nylon and PETG Specimens for Mechanical Properties.
Abstract: Fused deposition modeling (FDM) is one of the most used additive manufacturing techniques for polymer components. The polymer materials generally used in FDM process are polylactic acid (PLA), acrylonitrile butadiene styrene (ABS), polyethylene terephthalate glycol (PETG), Nylon, etc. The mechanical properties of parts fabricated by FDM depend on material and process parameters. Several researchers have tried to investigate the influence of process parameters on mechanical properties for some of the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 7–14 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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The Influence of Data Analytics on Sports Performance
Abstract: Data analytics has drastically changed how we evaluate, improve, and maintain athletic performance. Coaches used to use subjective observations as well as only limited numbers of statistics to consider player performance; however, tracking technology is now advancing at a fast pace. There are now very large amounts of real-time data available on athletes in regards to speed, movement patterns, fatigue, efficiency, etc. This enables all teams to more accurately make …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 15–21 Read article
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Automatic Flame Detection and Tracking
Abstract: Recent advancements in independent robotics, embedded systems, and intelligent perception have appreciably improved the capability of firefighting robots designed for early fire detection, flame localization, and suppression. A broad range of studies explores vision-based and sensor-fusion techniques designed for reliable flame discovery in complex environments. Image-processing approaches—including adaptive edge-detection, infrared/thermal imaging, color-space analysis, and profound learning—are extensively implement to enhance real-time fire gratitude, even in the presence of smoke or …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 6–12 Read article
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Post-Treatment Methods in Additive Manufacturing: A Review of Mechanical, Thermal, Chemical, and Hybrid Approaches
Abstract: Additive manufacturing, particularly Fused Deposition Modeling (FDM), has become a cornerstone of rapid prototyping and functional part production due to its accessibility and material versatility. However, the inherent layer-by-layer nature of FDM introduces surface roughness, reduced mechanical strength, and anisotropic behavior, which limit its industrial applications. This literature review investigates the impact of chemical post-processing treatments such as solvent vapor smoothing, immersion, and hybrid chemical-thermal methods on the surface quality …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 3, 2025 · pp. 25–34 Read article
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Extraction and Compound Analysis of Bauhinia acuminata: Soxhlet Method and Identification
Abstract: In the present study, the extraction and compound analysis of Bauhinia acuminata using the Soxhlet method, coupled with identification techniques, were conducted. Bauhinia acuminata L., a member of the Leguminosae (Fabaceae) family in the Caesalpinioideae subfamily, is a shrub usually reaching a height of around 3 m. It is native to tropical Southeast Asia and commonly found in the tropical regions of India and China. Primarily grown for ornamental purposes, …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 · pp. 18–23 Read article
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Drilling Parameters Optimization in LM6/B4C/Fly ash Hybrid Composites by Taguchi Technique
Abstract: Aluminium matrix composites (AMCs) are challenging to machine due to its abrasive characteristics. Because of the broad adoption of MMCs, it is vital to create sufficient equipment to facilitate efficient manufacturing. The current study utilizes signal-to-noise ratio (S/N) analysis to determine the ideal machining parameters for drilling AMC’s. The goal with this study is to investigate the effect of feed rate (FR), drill type (D), speed (SS), reinforcing material R …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 890–897 Read article
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Super Ni 718 Machinability Investigation on Electrical Discharge Machining Using Hybrid Al 7(075+178) Electrode Under Abrasive Assisted Dielectric
Abstract: As aluminum alloy is the lightest metal and has the best mechanical qualities among metal, it has proven to be a perfect choice for strututal industry, particularly in the aerospace sector.7xxx alloys from the Al alloy family are widely used in aviation constructions due to their outstanding processing, welding efficiency, great specific strength & stiffness, and high toughness. The two aluminum alloys that are most frequently used in airplane structures …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–17 Read article
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Valorization of shrimp processing waste by green methodology and its application in Chitosan-PEG composite film
Abstract: Shrimp processing waste is mostly unidentified marine by product, presents considerable environmental pollution which also offers a rich but not fully exploited sources of biopolymers. The current work presents a sustainable method to convert shrimp processing waste into chitosan a biopolymer by green methodology. Isolation of chitin to chitosan from shrimp processing waste was carried through four green methodology steps i. Demineralization using citric acid ii. Deproteinization using papain iii. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Advancement in Biodegradable Equipment for Flexible and Sustainable Electronics
Abstract: Biodegradable electronics are a quickly developing area focused on reducing the environmental impact of traditional electronic waste by using materials that can break down naturally after use. These devices use eco-friendly polymers, nanocomposites, and bio-based materials that maintain electrical function temporarily before safely decomposing. Recent developments show the potential of plant-based polymers, conductive biodegradable composites, and transient materials that support flexible and wearable applications without causing long-term harm to the …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 32–37 Read article
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Evaluation of Critical MMAW Welding Defects Using Computer Simulation in Industrial Manufacturing Systems
Abstract: Manufacturing is one of the key sectors of any countries GDP and welding is one of the prime manufacturing processes of the manufacturing sector. Welding has several notable advantages over mechanical joining techniques, including higher structural integrity, design flexibility, and cost and weight lowers. Welded products/structures are subjected to serious issues of residual stresses and distortions. The performance and sturdiness of the welded structures are severely impacted by weld remaining …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 18–26 Read article
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Revolutionizing Wireless Communication: AI & ; ML in the Era of 6G
Abstract: With rapid technological advancement, sophisticated techniques are significantly enhancing the performance of wireless networks. In parallel, the growth of artificial intelligence (AI) has empowered systems to perform intelligent decision-making, automate processes, analyze data, generate insights, and predict future outcomes. AI systems are now capable of learning and adapting to dynamic environments. Particularly, machine learning and deep learning techniques have achieved remarkable success across a wide range of applications in recent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 29–36 Read article
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Lead Time Reduction in Pipe Manufacturing: An Application of Value Stream Maps and 5S
Abstract: The pipe manufacturing industry has a considerable effect on the economic growth of a country. In this competitive scenario, manufacturing industries receive immense pressure for providing high-quality products at affordable cost, and on-time delivery. This paper aims to reduce lead times in a small-scale pipe industry plant by the application of the Value Stream Mapping (VSM) technique. The products of the plant are Resin Polyvinyl Chloride (RPVC) pipes, RPVC suction …
Published in Journal of Polymer & Composites Read article
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Inlay Work in Interiors: From Tradition to Innovation, Materiality to Mastery
Abstract: Inlay work, an ancient decorative technique, continues to captivate and inspire within the realm of interior design. This research paper delves into the multifaceted world of inlay work, tracing its rich history, exploring its contemporary applications, and speculating on its future in interior design. The historical evolution of inlay work serves as the foundation for this exploration. From its origins in ancient civilizations such as Egypt and Mesopotamia to its …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 1, 2024 · pp. 01–12 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article