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1948 articles for “C-V” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Crack Propagation Analysis in Metallic Alloys: A Comparative Study of Traditional and Advanced Materials
Abstract: A vital component of materials science and engineering, crack propagation analysis is essential to determining the structural integrity and dependability of materials. Designing safe and long-lasting structures for a variety of sectors required an understanding of how cracks begin, spread, and interact with a material's microstructure. To guarantee the performance, safety, and dependability of materials in a variety of applications, crack propagation analysis is essential. It offers insightful information about …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 33–41 Read article
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A Comprehensive Survey on Detection of Video Transitions
Abstract: Video shot boundary detection (SBD) is a fundamental task in the field of video processing and analysis. It plays a critical role in various video applications such as content-based video retrieval, video indexing, editing, summarization, and browsing. Identifying shot boundaries helps segment a continuous video stream into distinct shots, each representing a meaningful visual unit. This segmentation is essential for organizing and interpreting video data efficiently. This study provides an …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 17–26 Read article
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Isolation and Characterization of Glucuronide Compound from Luffa Tuberosa (Roxb.) for Potential Applications in Polymer Chemistry
Abstract: This study explores the isolation process of glucuronide compounds from Luffa tuberosa (Roxb.) using an efficient and cost-effective method. The extracted compound, Gypsogenin-3β-O-β-D-Methyl glucuronide, is characterized using spectroscopic techniques such as IR, NMR, and Mass Spectrometry. The polymeric nature of glucuronide-based compounds and their potential applications in polymer and composite materials are discussed. The findings highlight the suitability of glucuronide derivatives in biomedical, pharmaceutical, and polymeric drug delivery systems. Additionally, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 566–572 Read article
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NOVA: The Virtual Desktop Assistant
Abstract: This research work details the design, development, and implementation of a voice-controlled desktop assistant aimed at streamlining everyday tasks and boosting user productivity. The assistant seamlessly integrates with various desktop applications and core operating system functions to automate routine operations, deliver relevant contextual information, and provide personalized suggestions based on observed user behavior and preferences. A standout feature of the system is its ability to monitor user activity levels and …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 19–25 Read article
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A Detailed Review on Intelligent and Robust Control Strategies for Autonomous Underwater Vehicles with Emphasis on Navigation, Path Tracking, and Stability Enhancement
Abstract: Autonomous Underwater Vehicles (AUVs) have gained significant attention due to their applications in ocean exploration, underwater surveillance, environmental monitoring, and offshore industries. The control of AUVs presents various challenges due to the highly dynamic and uncertain underwater environment, nonlinear hydrodynamics, and external disturbances. This review paper explores various control strategies employed for AUVs, including classical control methods such as Proportional-Integral-Derivative (PID) controllers, modern techniques like Model Predictive Control (MPC), and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 28–52 Read article
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Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations
Abstract: Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 18–25 Read article
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Characterization of Mechanical and Viscoelastic Properties of Ceramic Nanoparticle-Reinforced Polymer Composites
Abstract: This study examines the mechanical and viscoelastic properties of polymer composites reinforced with ceramic nanoparticles, specifically focusing on enhancing the performance of the material through the incorporation of alumina nanoparticles. The composites were produced by embedding alumina nanoparticles into an epoxy matrix, and their properties were assessed using tensile, flexural, and dynamic mechanical analyses (DMA). The tensile tests showed a remarkable 40% increase in tensile strength and a 35% enhancement …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 71–82 Read article
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Geometrical, Numerical and Materialistic Parameters used for Studying and Reducing Tube-Side Flow Inconsistency in Tube and Shell Heat Exchangers: An Overview
Abstract: A Shell and Tube Heat Exchanger (STHE) exchanges heat between two fluids flowing at different temperatures. More than 60% of the market is occupied by STHE’s out of all the different kinds of heat exchangers. Maldistribution is the uneven fluid flow distribution in the tubes of the STHE. The aim of this study is to provide a detailed review on the various methods used by researchers for reducing the maldistribution …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 603–621 Read article
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Patterns and Variations in Complementary Feeding Practices Among Mothers of Children Aged 6–24 Months Attending Immunization Clinics in Mandi Gobindgarh, Punjab, India
Abstract: Introduction: Complementary feeding introduces solid or semisolid foods to an infant’s diet while breastfeeding. In India, feeding infants and young children is determined by their socioeconomic status, cultural practices, and healthcare access. The study assesses the feeding practices of mothers with children aged 6–24 months who come for immunization at Mandi Gobindgarh, Punjab. Methods: A cross-sectional study was conducted with 350 mothers selected through systematic random sampling. A structured questionnaire …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 3, 2025 · pp. 43–53 Read article
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Survey Paper on Multilingual Live Call Translation Using Deep Learning
Abstract: This research work surveys cutting-edge language translation technologies, including multi-lingual, real-time translation, voice recognition, speech-to-text conversion, and transcription in the hearing process. The study explores the complex mechanisms behind voice call language translation, focusing on sophisticated machine learning models integrated with cloud-based or local applications to facilitate seamless communication across language barriers. Furthermore, conducting research in live communication analyzes the complexity of text and voice techniques to deliver translated content …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 13–21 Read article
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Screening of Newer Phytoconstituents on Novel Enzymes for their Biological Activity
Abstract: Background: Hyperlipidemia and gout are prevalent metabolic disorders significantly impacting global health. The xanthine oxidase and HMG-CoA reductase pathways play pivotal roles in the pathophysiology of these conditions. This study explores the potential of natural phytoconstituents—daidzein, resveratrol, and genistein—as dual inhibitors for these enzymatic targets, offering insights into innovative therapeutic strategies. Aim: To evaluate the potential of natural phytoconstituents—daidzein, resveratrol, and genistein—as dual inhibitors of xanthine oxidase and HMG-CoA reductase …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 81–86 Read article
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Alternating Inertia-Based Virtual Synchronous Machine Control for Improved Frequency Regulation of Energy Storage Systems
Abstract: The rapid integration of renewable energy sources (RESs), particularly solar photovoltaic and wind energy systems, has significantly increased the penetration of power electronic converter-based distributed generators (DGs) in modern power systems. While these technologies provide substantial environmental, economic, and sustainability benefits, their widespread deployment has introduced new operational challenges. One of the major concerns is the reduction of system inertia and damping due to the replacement of conventional synchronous generators …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 Read article
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ChatGPT Based Voice Assistant for Blind People
Abstract: The proposed system for converting speech input into text format to facilitate interaction with ChatGPT is a sophisticated integration of hardware and cloud-based services. Utilizing state-of-the-art technologies, it facilitates seamless communication between users and the AI model. At the outset, the microphone serves as the input device, capturing audio signals from the user's speech. These signals are then amplified to ensure clarity and fidelity before being transmitted to the ESP32 …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 23–31 Read article
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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Contribution Of Indian Historical Technology To Development The AI
Abstract: The Indus Valley Civilization (3300–1300 BCE) was among the first in the world to develop advanced metallurgy. They created bronze tools, copper vessels, and intricate metal ornaments. A testament to ancient Indian metallurgy, this rust-resistant iron pillar, built during the Gupta Empire, still stands without significant corrosion, demonstrating an advanced understanding of material science. The study examines key texts and technologies, including Panini’s Ashtadhyayi (a formal system of grammar resembling …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 Read article
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Design of Scrap Collection and Reward Machine Using Verilog HDL
Abstract: The growing amount of waste produced in urban environments has led to a demand for effective and automated recycling solutions. In this paper, a scrap collection and reward machine is designed and implemented using the Verilog Hardware Description Language (HDL). The proposed system is developed to provide a reliable and automated approach for managing recyclable materials while motivating users through a reward-based mechanism. The design includes scrap input interfaces, a …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 37–45 Read article
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Optimizing Parameters for Dry Sliding Wear Control in Stir-Cast AA7050/SiC Composites
Abstract: Using a pin-on-disc tribometer, this study examined the dry sliding wear behavior of AA7050/SiC composites. The production of this metal matrix composite was achieved through the stir-casting process, which involved an initial step of melting the AA7050 alloy, followed by the careful introduction of silicon carbide (SiC) particles, stirring to achieve uniform dispersion, and finally, casting the molten mixture. Wear rate (WR) was determined by three operational parameters: SiC reinforcement …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1624–1635 Read article
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Techniques of Atomic Structure Orbit Potential of The Frequency Characteristics of Silicon Element
Abstract: This study explores the technological applications and material integration of semiconductor materials, with a focus on their electronic properties and practical implementations. The investigation primarily addresses four key objectives: analyzing the electronic band structure and density of states (DOS) of semiconductor materials, evaluating the band alignment in heterojunctions, and integrating these materials into practical technological applications. Using a simplified tight-binding model, we compute and plot the electronic band structure of …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 3, 2024 · pp. 16–32 Read article
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Raspberry Pi-Based Real-Time Object Recognition for Smart Item Recovery
Abstract: In today’s fast-paced world, individuals often lose valuable time searching for misplaced items such as keys, phones, and remote controls—an estimated 2.5 days per year. This paper introduces a cost-effective, computer vision-based system that helps users efficiently locate everyday objects. The system utilizes a 1080p camera and the YOLO (You Only Look Once) object detection algorithm to enable accurate, real-time object recognition. Designed for practical usability, it stores detected object …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 28–36 Read article
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Lesser-Known Metabolites Influencing Ovarian Function, Follicular Development, and Embryo Viability in Dairy Cows
Abstract: The intricate processes of ovarian function, follicular development, and embryo viability in dairy cows are tightly regulated by a complex network of metabolites. While conventional biomarkers, such as steroid hormones, amino acids, and glucose metabolites, have been extensively studied, a growing body of evidence suggests that lesser-known metabolites play pivotal roles in bovine reproductive physiology. Dairy cattle fertility is critical for maintaining optimal milk production and herd sustainability, necessitating deeper …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 18–29 Read article