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135 articles for “image detection”
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Hydrological Response of Land Use Land Cover Change on Stream Flow of Anger Watershed, Blue Nile Basin, Ethiopia
Abstract: ABSTRACT The soil and water assessment tool (SWAT) model was applied to simulate the streamflow from the Anger watershed (7,982 km2), located in Western Oromia Regional State, Ethiopia. ArcGIS was applied to layer staking, mosaicking, image classification, and accuracy assessment. The purpose of the study was to examine the applicability of the SWAT model and to detect the effect of past land-use land-cover change on streamflow of the watershed. The …
Published in International Journal of Water Resources Engineering · Vol. 6, Issue 2, 2020 · pp. 39–58 Read article
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SOBER “An Alcohol Detection and Car Engine Locking System”"
Abstract: Drinking Driving is a major issue of road accidents all over the world; 60 plus of the accidents are caused by it. The number of deaths due to crapulous driving is assumed to be larger than imagination. The model device aims to help the stoner from driving drunk and reduce the number of accidents and cases being due to drunk driving. . Alcohol impairs drivers’ cognitive and motor functions, reducing …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 14–19 Read article
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A Descriptive Study on Current Trends in the Diagnosis and Management of Diabetic Foot
Abstract: Diabetic foot is a major and frequently occurring complication of diabetes mellitus, significantly contributing to patient morbidity, increased hospital admissions, and a higher risk of lower limb amputations. Timely identification and proper management are crucial to halt disease progression and enhance patient outcomes. This descriptive study focuses on examining current practices and advancements in the diagnosis and management of diabetic foot within clinical settings. The study highlights modern methods used …
Published in International Journal of Medical Surgical Nursing · Vol. 9, Issue 1, 2026 · pp. 23–33 Read article
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Comparative study of the Magnetoelectric Properties in Core-Shell Nanocomposites as well as mixture of CoFe2O4:BaTiO3
Abstract: Nanostructures of multiferroic materials have been drawing increasing curiosity due to the boosted magnetoelectric coupling and potential for succeeding generation multifunctional devices. Composites of ferroelectric and magnetostrictive materials indicate more magnetoelectric coupling than single phase materials. Core-shell CoFe2O4:BaTiO3 nanocomposites (1:1 weight ratio) and a mixture of both of them have been produced by a combination of hydrothermal and sol gel techniques. X ray diffraction analysis endorses the presence of both …
Published in International Journal of Composite and Constituent Materials · Vol. 1, Issue 1, 2015 · pp. 1–6 Read article
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Nanotechnology Era: Comprehensive Study of Magnetic ZnxFe2–xO3 Nanoparticles for Enhanced Treatment of Cancer and Infectious Disease
Abstract: In the contemporary world, scientists, technologists, and medical professionals are able to transform the knowledge of nanotechnology to medical treatment. They have been struggling to eradicate or reduce the risk effects of epidemic disease from the world. Such epidemic disease is challenging due to their vast replication, regeneration, hereditary case, genetic variations, and passages through genetic matter. For this reason, this research is focused on the biomedical application of ZnxFe2–xO3 …
Published in International journal of Nanobiotechnology · Vol. 10, Issue 2, 2024 · pp. 33–48 Read article
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Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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Satellite Image Classification using Deep Learning
Abstract: Satellite imagery is essential for lots of applications along with catastrophe response, regulation enforcement, and monitoring an environment. These packages require the guide identity of objects and facilities in imagery. Because the geographical areas to be protected are large and the analysts needed to do the searches are scarce, automation is required. Yet traditional item detection and category algorithms are too inaccurate and unreliable to clear up the problem. Deep …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 29–36 Read article
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Identifying the Age Using Face Image Using DWT, LBP, SVM and k-NN
Abstract: ABSTRACTThe research related to identifying the age using face images has become progressively more important, due to the fact it has a multiplicity of potentially helpful applications. In this paper we survey the complete age synthesis or age estimation from face images techniques. Automatic facial age identifying is one of the main issues in pattern recognition which shows the age of human according to her/his facial expressions. Basically, age detection/estimation …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 26–37 Read article
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Sleep Sensing Detection and Accident Prevention Alerting System
Abstract: Feeling sleepy while driving but in these case road accident chances are created when driving alone on highway or operators who travel for an extended duration may have become dull, lethargic, or even fall asleep. Most driver anti-sleep tracking products these days currently are simply headphone that considers interrupted noises, which is both obnoxious and unreliable. Several surveys had already devoted to the development detection systems driver fatigue and extreme …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 2, 2021 · pp. 16–20 Read article
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Blind Assistance System Using Digital Image Processing
Abstract: This paper brings forth state-of-the-art blind assistance, and the system here provides a combination of an OpenCV-based DNN module based on YOLOv3’s algorithm; the system would support real-time object detection, with associated auditory notifications to enable visually impaired individuals to understand their autonomy couched with safety about improved fast recognition of objects allied with auditory responses. The live video captures from a webcam were done and further processed by the …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 13–19 Read article
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Predictive Farming Using Image Based Machine Learning
Abstract: Agriculture sector is considered as central pillar of Indian economics contributing approximately18% of total GDP employing almost 78% of rural population. Export of agro- based commodities hasincreased by 7-folds in past 1.5 decade. Therefore, it is necessary to uplift quality of agro-commoditiesproductions. Improving crop quality and quantity by sowing appropriate crop according to soil typeand weather condition become an hour’s need today. There are variety of soil series available in …
Published in International Journal of Agrochemistry · Vol. 7, Issue 1, 2021 · pp. 24–32 Read article
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A Comprehensive Review of ARDS: From Pathogenesis to Innovative Treatment Modalities
Abstract: Acute Respiratory Distress Syndrome (ARDS) is a serious medical condition marked by significant low oxygen levels in the blood, bilateral lung infiltrates, and extensive lung inflammation. It is often caused by a range of direct or indirect injuries to the lungs. Despite considerable advances in understanding the pathophysiology of ARDS, its complex and multifactorial nature continues to challenge clinicians in both diagnosis and management. This review provides a comprehensive analysis …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
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Redundant Keypoint Elimination Using Redundancy Index on Basic SIFT Algorithm
Abstract: ABSTRACT Matching features across different images is a common problem in computer vision. For the images of different scales and rotations, there is the need of scale-invariant feature transform (SIFT). SIFT identifies the distinctive keypoints that are invariant to location, scale, rotation, robust to affine transformations (changes in scale, rotation, shear, and position) and changes in illumination, which are usable for object recognition. SIFT algorithm includes two main stages: feature …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 22–31 Read article
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Depression, Stress and Anxiety Prediction
Abstract: In the fast-moving up-to-date realm, intellectual well-being issues like anxiety, depression and stress have enhanced very coarse between common people. The system has entrenched information to label the sentences and make a decision itself as reaction to answer a question. The table contains chatterbot or chatbot information. It exists of four buttons as offset Time, Date, Questionnaires and Image Processing. Image preparing is used to monitor the exciting rank of …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 13–19 Read article
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Advancing Maize Leaf Disease Detection: A Machine Learning Approach
Abstract: Every day, countless grains and fruits are cultivated around the world. To keep up with the growing population’s needs, farmers are constantly adopting new and advanced techniques. Furthermore, the development and application of new technologies enable the quick and simple detection of plant diseases. Identifying plant diseases at an early stage is crucial to minimizing their effects on crop productivity and quality. Traditional diagnostic methods often rely on expert knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 17–25 Read article
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Arduino Based Smart Automatic Ration Distribution System Using Fingerprint Sensor
Abstract: Today’s ration distribution system faces several challenges and plenty of problems like non legal importing and corruption of products happens in the ration distribution centers in India. These controversies embrace irregular activity of the products, wrong entries within the manual stock register. Alternative times the particular product provided by the government for the distribution does not reach the common people. In our project, we have got replaced the manual work …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 7–13 Read article
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Facial Recognition in Education: Revolutionizing Attendance Tracking for Enhanced Efficiency and Security
Abstract: The goal of this project is to develop a facial recognition-based attendance system for educational institutions to improve and modernize the current system and make it more effective and efficient than it was in the past. The distinctive features of the human face allow for individual identification. Since there is little chance of a face deviating or being duplicated, it is utilized to trace identification. The article also covers the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Blood Cell Subtype Classification Using Deep Learning
Abstract: A vital component of human bodies is blood. Despite making up only 1% of the human body, blood cells have a greater impact on disease and infection detection. These blood cell subtype classifications also aid in ensuring that patients receive the quickest-acting medical treatment and recover swiftly. To get the findings, many machine learning techniques are used, including the Feature Extraction methods (K* classifier and Decision table) and the Image …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 37–45 Read article
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Breast Tumor Classification Using Machine Learning Algorithm
Abstract: Breast cancer is characterized by genetic mutations, periodic pain, changes in the length, color (redness) and texture of the breast skin. The categories of most types of breast cancer led the pathologist to a systematic and objective prognostic analysis. In general, the most common category is binary (benign/malignant). Today, Learning Gadget (ML) strategies are widely used in breast cancer classification problems. Offers extreme accuracy and powerful diagnostic technology. It kills …
Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 1, 2022 · pp. 35–40 Read article
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Detection of PARD Attack Using Key Based Biometric Authentication System Based on Fingerprint Impression
Abstract: Biometric authentication plays a major role in security as these are by nature unique for every human. But the security is compromised when the pattern matching system is not accurate. Authentication system like fingerprint recognition is most commonly used biometric authentication system. In this paper, survey is done on fingerprint recognition techniques. And different approaches are studied in terms of accuracy and performance. As fingerprint may also contain noise; so, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 25–34 Read article