Search
138 articles for “fusion”
-
Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article
-
Multimodal Generative AI for Vehicular Applications at Edge
Abstract: This paper explores how the rapid advancements in vehicular technology, including autonomous driving and intelligent transportation systems, have driven the need for real-time data processing and decision-making. Multimodal generative AI, when deployed at the edge, offers a powerful solution for vehicular applications by leveraging diverse data sources such as video, audio, sensor inputs, and environmental data. This paper explores the integration of multimodal generative AI with edge computing in vehicular …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 27–34 Read article
-
Maximizing Flow and Ensuring Leak Tightness Through Design and Development of a Unidirectional Check Valve
Abstract: The check valve market, valued at USD 6.5 billion in 2024, is expected to grow at a 4.1% CAGR. Challenges in valve seat materials, particularly SS304 and PTFE (Teflon), contribute to a 0.5% leak rate, which leads to helium gas loss, reduced efficiency, and higher operational costs. While various sealing techniques, including hard-on-soft methods, have been explored, few have been applied to poppet check valves. This study focuses on improving …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 10–18 Read article
-
Investigation of Process Specifications on Friction Stir Welded Aluminium 5083 and 6082 Alloys
Abstract: Aluminium 5083 alloys were mainly used for naval based applications because of better corrosion resistance feature. Similarly aluminium 6082 alloy being a structurally significant material found its applications in construction sector. Fusion welding of these two heterogeneous alloys is bit hard, since it evolves many defects. Present Investigation deals with two cases of distinct alloys through FSW process. Case 1 represents 31 experimental trails performed by 5 various tool pin …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 1–11 Read article
-
Experimental Investigation of Aluminum Alloy 8010 by Friction Stir Welding
Abstract: A solid state welding method called friction stir welding (FSW) is used to fuse metals and alloys that are challenging to fuse using traditional fusion welding. The effects of tool pin and shoulder diameter on joining the aluminum alloy Al 8010 were examined in this study. The basis material for combining single butt-welded joints is a plate with a thickness of 6 mm. The welding was carried out on the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 3, 2024 · pp. 14–19 Read article
-
Unveiling Patterns in Complexity: The Role of Simple Statistics and Fuzzy Mathematics in Data Analysis
Abstract: In this study, statistical methods must be integrated with fuzzy mathematics to solve complex data. Statistical methods offer clear, unbiased, and computationally feasible tools for analysing numerical data. whereas fuzzy mathematics excels in describing the vagueness and ambiguity of human feeling by way of linguistic variables, membership functions, and inference systems. Giving it an apparent advantage when modelling complex conditions. Hybrid frameworks offer fine-grained decision-making and resilient adaptability to real-world …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 01–10 Read article
-
A Review on Materials and Working Process Parameters of Selective Laser Sintering
Abstract: The potential for additive manufacturing technology to replace some of the current conventional manufacturing methods makes it one of the research and development fields that is expanding quickly. With additive manufacturing, three-dimensional physical models are produced layer by layer from computer-aided design (CAD) models. Fully dense metal things may be produced more rapidly and accurately with additive manufacturing. The Selective Laser Sintering (SLS) procedure uses powder bed fusion, in which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 522–529 Read article
-
COSMECEUTICAL: The Intersection Between Beauty and Science
Abstract: The intersection of beauty and science has given rise to the rapidly growing field of cosmeceuticals—products that blend cosmetic and pharmaceutical elements to improve both the appearance and health of the skin. As consumers increasingly seek advanced, evidence-based skincare solutions, the demand for cosmeceuticals has surged. These products typically contain bioactive ingredients that go beyond simple aesthetic enhancement, offering therapeutic benefits backed by scientific research. The article explores the evolving …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 1, 2025 · pp. 17–31 Read article
-
Cosmeceuticals – The Reality Beyond Expectation
Abstract: Cosmeceuticals, a fusion of cosmetics & pharmaceuticals, have revolutionized the personal care industry. Beyond just being aesthetically pleasing, many products have therapeutic effects that address skin issues and enhance general wellbeing. This review explores the historical background, classification, types, and benefits of cosmeceuticals. The global market demand for cosmeceuticals is rising, driven by the desire for youthful and healthy appearances. However, the industry faces challenges, including variable efficacy, safety concerns, …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 1, 2025 · pp. 44–54 Read article
-
AI-Based Software-Defined Satellite in Decision Making: A Study
Abstract: For decades, satellites have been a vital infrastructure, relaying communication signals, observing Earth's climate, and providing critical navigation data. However, the traditional model of satellite operation is often rigid and reactive, relying heavily on pre-programmed instructions and ground-based control. This limits their flexibility and responsiveness in a rapidly changing environment. Enter software-defined satellites (SDS), and now, the game-changer: artificial intelligence (AI). Imagine a satellite that can independently analyze its surroundings, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 63–72 Read article
-
Self-Driving Cars and Computer Vision: Enhancing Computer Vision for Autonomous Vehicle Navigation
Abstract: Autonomous vehicles, commonly known as self-driving cars, are transforming the transportation sector by aiming to enhance road safety, ease traffic congestion, and boost overall efficiency. Central to the operation of these vehicles is computer vision, which enables them to perceive and understand their environment. This paper examines how computer vision contributes to the navigation of autonomous vehicles and highlights its continuous developments. Specifically, it examines key challenges such as real-time …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 1–10 Read article
-
AI and IoT in Sustainable Agriculture: A Review
Abstract: Artificial Intelligence (AI) and Internet of Things (IoT) integration have transformed the world of sustainable agriculture, presenting new ways of resource optimization, increasing crop yields, and making environmental sustainability more accessible. The current literature review analyzes the applications of AI and IoT in three significant agricultural systems: aquaponics, hydroponics, and poultry farming. By critically analyzing recent studies, this paper emphasizes how deep learning- enabled computer vision techniques allow for the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 32–45 Read article
-
Thermally Regulated Polymer-PCM Composites for Efficient Solar Energy Harvesting and Storage
Abstract: This study investigates the development of high-performance; shape-stabilized polymer composites infused with phase change materials (PCMs) for thermal energy storage in solar energy applications. Polyethylene glycol (PEG-6000) was employed as the core PCM due to its high latent heat and suitable melting point, while high-density polyethylene (HDPE) served as the supporting polymer matrix to provide structural stability. One of the primary limitations of PEG-based PCMs is their inherently low thermal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 153–163 Read article
-
Enabling Intelligent Interoperability: Advancing Sensor Networks Through the Semantic Sensor Web (SSW)
Abstract: The Semantic Sensor Web (SSW) is an evolution of the traditional Sensor Web, integrating semantic web technologies to enhance the discovery, interpretation, and integration of heterogeneous sensor data. By embedding semantic annotations into sensor observations and metadata, SSW enables automated reasoning, improved interoperability, and more sophisticated querying capabilities across diverse sensor networks. This approach addresses key challenges in handling large-scale, distributed, and dynamic sensor data, particularly in domains such as …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 21–37 Read article
-
The Integration of Artificial Intelligence in Sikh Shrines: Enhancing Tradition and Accessibility
Abstract: The purpose of the present study is to expound on the significance of the integration of artificial intelligence in Sikh shrines could enhance tradition and accessibility. Artificial Intelligence (AI) has significantly influenced various facets of human life, including religious and spiritual traditions. As one of the youngest religions, Sikhism paves the way for wider research in Sikh structures, including Sikh Shrines. Sikh Shrines also known as Gurudwaras are an essential …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 Read article
-
Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article
-
Computer, Animation and Aesthetic Expressions
Abstract: The integration of computers, animation, and aesthetic expressions has revolutionized creative industries, enabling the development of highly immersive and visually engaging content. This interdisciplinary field combines computer science, digital animation techniques, and the principles of visual aesthetics to craft experiences that resonate with audiences on both intellectual and emotional levels. Through advanced algorithms, artificial intelligence, and innovative rendering techniques, modern animation blends technical precision with artistic design to create dynamic …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 01–06 Read article
-
Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
-
Pharmacogenomics: Unlocking the Genetic Basis of Drug Response for Precision Medicine
Abstract: Pharmacogenomics, a fusion of pharmacology and genomics, explores how genetic variations influence individual responses to medications. This field is revolutionizing modern medicine by moving away from a one-size-fits-all approach toward personalized treatment strategies. By identifying specific genetic markers, pharmacogenomics aims to enhance drug efficacy, minimize adverse drug reactions, and improve overall patient outcomes. Key methodologies in this discipline include candidate gene analysis, genome-wide association studies, and haplotype analysis, all of …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 52–59 Read article
-
Stacked Generalization-Based Deep Learning Approach for Pneumonia Detection
Abstract: The proposed work focuses on a stacked generalization-based approach for diagnosing pneumonia from chest X-ray images. It utilizes regularization, early stopping, and data augmentation to deal with overfitting. It uses safe level SMOTE to deal with class imbalance and attention-based feature fusion to adaptively weigh features based on their importance. It uses two publicly available datasets (RSNA and Kermany) with ground truth provided by expert radiologists. The proposed work used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 20–31 Read article