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304 articles for “image pre-processing”
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Synthesis and Functional Group Analysis of Solution Processed Zinc Oxide Thin Film Grown on Polyethylene Terephthalate
Abstract: Flexible electronics field is growing every day. Existing technology is facing issues like brittleness, toxicity, inadequacy. Fabrication cost increases in processing of such materials. In this work, zinc oxide nanoparticles synthesized by solution processing technique were used to grow 120nm thick thin film (TF) on Polyethylene terephthalate (PET). This method reduces the processing cost and Zinc Oxide (ZnO) is cheaper and abundant in comparison to other semiconductors option. Material was …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 56–66 Read article
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Animal/Object Recognition and Monitoring
Abstract: This study focuses on teaching a computer to identify leopards in images through a process called Object Detection and Image Recognition. We created a special set of pictures (dataset) containing thousands of leopard images. Using a small camera module called ESP32 CAM, we trained the computer to recognize leopards by comparing the images it captures with the ones in the dataset. The results were obtained using a Convolutional Neural Network …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Pneumonia Detection Using Deep Learning–Convolutional Neural Network
Abstract: Pneumonia disease is associate in nursing infectious and deadly illness in metabolic process that is caused by microorganism, fungi, or a deadly disease that infects the human respiratory organ air sacs with the load choked with fluid or pus. Chest X-rays area unit the common methodology accustomed diagnose respiratory disorder and it wants a health worker to gauge the results of X-ray. The hard methodology of detection of the respiratory …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 9–16 Read article
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Depiction-inspired Recipe Generator Using Deep Learning
Abstract: Machine learning has become a crucial part of modern life, influencing various domains. Its applications range from enhancing data-driven business decisions to enabling autonomous vehicles. Advances in machine learning have brought about notable changes in how we interact with technology. In the culinary world, the idea of creating food recipes from images has gained increasing interest. This entails the development of innovative systems that seamlessly convert visual input, such as …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 47–55 Read article
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ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
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Development of Web-enabled Smart Hospital Management System: Patient Data Visualization and Real-time Decision Making
Abstract: As everyone is aware, fewer people had access to healthcare services, which prevented many people from receiving the care they needed. The idea that, by WHO criteria, there should be one physician for every 1,000 patients is nearly unbelievable. Yet, India’s current ratio is a staggering 1:1445. This disparity highlights a serious gap in healthcare resources that cannot be ignored. Authors remember speaking with a friend who works in a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 41–46 Read article
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Electronic Drones: Technology, Applications, and Future Directions
Abstract: Electronic drones, commonly referred to as Unmanned Aerial Vehicles (UAVs), have transitioned from exclusively military platforms to indispensable tools across commercial, scientific, industrial, and recreational domains. The rapid evolution of electronics, flight control systems, communication networks, onboard sensors, and artificial intelligence has reshaped drone capabilities, enabling high-precision remote sensing, autonomous navigation, swarm behavior, and integration into complex systems like the Internet of Drones (IoD). This paper examines the technological building …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 15–19 Read article
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ADVANCEMENTS AND CHALLENGES OF MODERN BREEDING OVER CONVENTIONAL BREEDING
Abstract: Plant breeding dates back thousands of years, when people first deliberately bred plants based on visually pleasing characteristics. The domestication of wild plants aided this process, resulting in the evolution of numerous breeding strategies over time. Conventional breeding, which is distinguished by selective breeding based on superior performance, used procedures such as pure-line selections, mass selection, backcross breeding, recurrent selection, and hybridization. While effective, classical breeding procedures were time-consuming and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–5 Read article
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Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach
Abstract: In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications. This paper presents an efficient hybrid framework that merges two mathematically sound methods, namely, DTT and PDE defined as the Heat Equation, to robustly denoise a signal with minimal distortion. The model addresses one of the most challenging tasks in signal restoration, which maintains the fidelity of …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 9–14 Read article
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Trauma of Survival and the Politics of Memory in Emile Habiby's The Secret Life of Saeed: The Pessoptimist
Abstract: Emile Habiby’s the Secret Life of Saeed: The Pessoptimist (1974) presents one of the most innovative and politically complex literary responses to the Palestinian Nakba and its enduring consequences. Through a distinctive fusion of satire, irony, absurdity, political allegory, and fragmented narration, Habiby departs from conventional representations of trauma and resistance. Rather than portraying Palestinian survival as a heroic or triumphant process of recovery, the novel presents survival as an …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 34–47 Read article
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Road Maintenance by Pothole Detection and Filling Robot
Abstract: Road infrastructure plays a vital role in ensuring safe and efficient transportation; however, potholes remain a major challenge due to their impact on road safety, vehicle maintenance costs, and traffic flow. Traditional pothole inspection and repair methods rely heavily on manual labor, making the process time-consuming, costly, and potentially hazardous for workers. To address these limitations, this paper presents a Pothole Detection and Filling Robot, an intelligent robotic system designed …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 39–46 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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From Battlefield to Biodiversity: The Evolution of Drones in Modern Conservation Efforts in Wildlife
Abstract: The rapid advancement of drone technology, encompassing unmanned aerial vehicles (UAVs), unmanned aircraft systems (UAS), and remotely piloted aircraft (RPAs), has significantly impacted various fields, particularly environmental management and wildlife conservation. Originally designed for military use, drones have now become essential tools in ecological research, offering a cost-effective and minimally invasive way to monitor and protect ecosystems. These sophisticated "eco-drones" have revolutionized data collection, especially in hard-to-reach and previously inaccessible …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 8–12 Read article
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AI-Based Outfit Rating and Suggestion System
Abstract: The increasing demand for personalised fashion advice in the digital era has highlighted the need for intelligent, automated styling solutions. The AI-Based Outfit Rating and Suggestion System is a web- based platform that assists users in evaluating and improving their clothing choices through intelligent image analysis. Unlike conventional fashion applications that merely identify garment categories or suggest purchases, this system performs a holistic assessment of complete outfits by analysing colour …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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A Study on The Impact of Artificial Intelligence in Pharmaceuticals
Abstract: The main goal of artificial intelligence (AI) is to create intelligent modeling, which facilitates knowledge imagination, problem-solving, and decision-making. AI is becoming more and more significant in several pharmacy domains, including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Various types of artificial neural networks (ANNs), including deep neural networks (DNNs) and recurrent neural networks (RNNs), are utilized in the development of drug delivery formulations and in drug …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 24–32 Read article
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E-Dustbin
Abstract: A major problem with our present society is the soild waste management, as it disturbs both the human health and affects the environment. Monitoring of those wastes is one of the major problem of the present. The traditional method of solving this issue is by making use of huge trash cans in public places and ulitizing the role of human scavengers, which is time consuming in nature. This paper proposes …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 3, 2017 · pp. 1–7 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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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Using Artificial Intelligence for The Design of Polymeric Drug Delivery Systems
Abstract: AI is cost effective and time efficient process. Artificial intelligence is a method which uses high speed calculation, the improvement regarding algorithm along with collection about biological and chemical features in pharmaceutical exploration and development .Present day because continuous progress towards machine learning (ML),Artificial intelligence an effective statistics analysing technology might have been broadly utilized in drug design .In pharmaceutical exploration and research employ of AI in target identification, compound …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1018–1027 Read article
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Power of Optical Sensors in Remote Sensing: A Study
Abstract: Imagine having eyes that could pierce the veil of the visible, discerning the subtle whispers of light beyond the spectrum our everyday vision allows. This isn't a superpower from science fiction, but the very essence of optical sensors in remote sensing – our planet's watchful, silent sentinels, meticulously translating the electromagnetic symphony into actionable insights. Optical sensors, operating within the visible, near-infrared, and short-wave infrared portions of the electromagnetic spectrum, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 29–36 Read article