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51 articles for “shape feature”
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Review on CBIR Image Based on Colour, Texture and Shape Features of Biomedical Image Applications
Abstract: This study seeks to understand how different image enhancing methods affect the sensitivity of contrast-based textural measures and morphological traits derived from high-resolution satellite data (three-band SPOT-5). The built-up/non-built-up detection framework is the backbone of every biomedical application. Using supervised learning while working with a low-resolution reference layer reduces uncertainty and boosts the reference layer's quality in a roundabout way. The image's histogram is recalculated based on contrast in order …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
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Content-based Image Retrieval: Recent Trends and Techniques
Abstract: Due to the affordability of digital devices and the accessibility of internet technologies, a vast number of multimedia databases have been established for various applications. These image databases increase the need for efficient picture retrieval search strategies that meet user requirements. When compared to other systems, the content-based image retrieval (CBIR) system is one of the most widely used systems for retrieving images from enormous databases. Much work has been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 01–32 Read article
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Effect of Radiation Dose, Dose Rate and Annealing Temperature on Edible Potato Starch by Spectroscopic Methods
Abstract: Potato starch (PS) is a favorite food choice in different forms. During its storage and applications the PS is exposed to different radiations. In the present study the authors attempt to compare radiation effects (gamma and Electron beam of same radiation dose) in PS by Electron spin resonance (ESR) and Fourier transform infrared (FTIR) methods. ESR spectra of gamma irradiated PS appeared to have resolved shapes than the electron beam …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 198–209 Read article
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Integrated Dam Automation: Real-Time Monitoring and Controlling Using IoT
Abstract: Dam automation is a critical area in water resource management, especially given the rising demand for sustainable and safe water control systems. An integrated approach to dam automation involves implementing advanced sensors and monitoring systems to improve structural safety, water quality, and resource management. This paper presents a comprehensive automation model that combines crack detection, convolutional neural networks (CNNs), water level monitoring, turbidity sensing, and rainfall data to ensure real-time …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 31–38 Read article
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Koch Slot DRA Antenna Array for Enhanced X-Band Applications
Abstract: This work introduces an innovative method aimed at improving the gain of Dielectric Resonator Antenna (DRA) arrays functioning within the X-band spectrum. The design features a Koch-shaped slot-coupled feeding structure, utilising the properties of a short-ended microstrip line to enhance radiation directionality. The results of the simulation show that compared to conventional rectangular and V-shaped slot designs, the suggested antenna array provides a notable gain enhancement. This performance boost demonstrates …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 8–20 Read article
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Exploring the Potential of Laser Ablation for Multi-functional Nanoparticle Production
Abstract: The extraordinary class of materials known as nanomaterials has come into being. A large variety of elements with minimum one dimension between 1 and 100 nm are included. Reasonably designed nanomaterials can have exceptionally large surface areas. Nanomaterials can be made to have exceptional mechanical, optical, electrical, magnetic, and catalytic properties that are very different from those of their bulk counterparts. To achieve the necessary features tuning, nanomaterials' size, shape, …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 36–41 Read article
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Formation and Fabrication of A 3D- Printed Polymer Propeller for Improved Propulsion and Minimal Acoustic Emission: A Comparative Study for Small Unmanned Vehicles
Abstract: The current research focuses on a comparative analysis of propeller designs to identify an option that enhances thrust efficiency while minimizing acoustic noise. The study evaluates three distinct types of propellers: the traditional three-blade propeller, the Sharrow propeller, and a novel aero propeller featuring an air foil-shaped cross-section. To facilitate a hands-on analysis, these propellers were produced using 3D printing technology, specifically employing ABS filament through a Fused Deposition Modelling …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 252–261 Read article
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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Aerodynamic Influences on Structures with Varied Plan Configurations
Abstract: The wind-induced effects on tall buildings demonstrate a level of unpredictability, attributed to the intricate influence of the building's plan shape on the distribution of wind loads. The oscillations experienced by tall structures, both longitudinally and laterally, are influenced by factors such as wind direction, building configuration, height, and structural characteristics. This investigation is centred around examining the impact of wind on tall buildings featuring diverse plan cross-sectional shapes. The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 377–388 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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Convolutional Neural Network Based Ripeness Detection of Fruits
Abstract: The accurate and efficient assessment of fruit ripeness plays a crucial role in ensuring the quality of fruits and optimizing supply chain management. This paper presents a novel approach for the automated detection of apple and banana ripeness using Convolutional Neural Networks (CNNs). The suggested method supports the capability of CNNs to learn hierarchical features from images, variations in color and shape associated with different ripeness stages. The online dataset …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 30–36 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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A Study of Open-source Cloud Computing Platforms
Abstract: Cloud computing has modernized the way organizations manage, store, and process data, offering scalable and cost-effective solutions. Open-source cloud computing platforms have emerged as a key enabler in this transformation, providing flexibility, transparency, and community-driven innovation. This study discusses the most prominent open-source cloud platforms, including OpenStack, CloudStack, and Kubernetes, highlighting their architecture, features, and use cases. The study deals with their comparative strengths, limitations, and adoption challenges in various …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Micro-atolls of the Gulf of Kachchh: Environmental Interactions and Adaptations of the Corals-an Anecdote
Abstract: The corals and coral reefs exhibit remarkable shapes and size in the marine realm. Any extant morphometric feature of any creature is a reflection of its interaction with the ambient environment and gradual evolutionary processes. The present study has for the first time revealed the occurrence of the panoply which is outcome of the evolutionary fitness mechanism, acquired by the coral colonies in the study area–Gulf of Kachchh, Arabian Sea. …
Published in Research & Reviews : Journal of Ecology Read article
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Exploring the Traditional and Modern Uses of Calotropis gigantea: A Review
Abstract: Calotropis gigantea, often known as C. gigantea or Sweta Arka, is indigenous to Bangladesh, India, and Thailand in South and Southeast Asia. It has therapeutic purposes. This plant features clusters of white or lavender waxy blossoms, an oval-shaped, light green leaf, and a milky stem. The beneficial properties of C. gigantea, which is commonly used in traditional medicine, especially in India, have been validated by recent scientific findings. Among their …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 1, 2025 · pp. 33–41 Read article
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Production Methods, Mechanical Characteristics, and Industrial Uses for Metal Matrix Composites
Abstract: Advanced light-weight components known as composites from metal matrix are made of an element the alloy matrix with a second phase incorporated and dispersed throughout to improve certain properties. The composite's property varies according to the remaining phase's size, shape, and quantity. Because of its unique combination of ceramic and metallic features, it has better mechanical and physical qualities. These materials belong to a new breed of engineered materials that …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–5 Read article
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Nanoelectronics Based on Carbon Nanotubes
Abstract: Nanoelectronics, the study and application of electronic components and systems at the nanometer scale, plays a pivotal role in advancing modern technology toward faster, smaller, and more energy-efficient devices. Among the various nanomaterials explored for these applications, carbon nanotubes (CNTs) have emerged as one of the most promising candidates due to their exceptional electrical conductivity, mechanical strength, and thermal stability. This project report presents an in-depth exploration of the role …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 40–53 Read article
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AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
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Enhancing Chatter Resistance in Deep Hole Boring Through Modified Tool Design: A Study on Impact of Length-To-Diameter (L/D) Ratio
Abstract: Deep hole boring is a specialized machining process crucial for creating precise bores with high length-to-diameter (L/D) ratios, particularly vital in aerospace, automotive, and oil and gas industries. The L/D ratio is pivotal for stability and performance. Chatter, a detrimental vibration phenomenon, is a significant concern in deep hole boring, influenced by the L/D ratio. Higher L/D ratios increase chatter, leading to poor surface finish and reduced tool life. Longer …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 2, 2024 · pp. 24–33 Read article
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Advances in Biodegradable Polymer-based Drug Delivery Systems
Abstract: An intriguing new approach to manage medication release that may assist with issues like making the therapeutic impact last longer, reducing the danger of side effects, and persuading patients to follow through with their treatment programs is biodegradable polymer-based drug delivery systems (DDS). By developing systems that can break down within the body, biodegradable polymers have revolutionised the way medications are administered. They so have less negative effects and do …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 326–338 Read article