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509 articles for “detection”
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Detection of Brain Tumor Using K-means Clustering Algorithm
Abstract: A brain tumor is a dangerous medical illness that, if not treated promptly, can be fatal. Therefore, it becomes essential to find the tumor early on in order to organize therapy as soon as possible. A brain tumor is the result of the growth of abnormal cells in the brain. Brain tumors come in many different forms. The majority of brain tumors are malignant (cancerous); however, some are benign (noncancerous). …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 1–9 Read article
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Detection of Hate Speech on Social Media Using Machine Learning
Abstract: As we know, social media platforms are the fastest method of communication because information is transmitted and received virtually instantaneously. Social media platforms' development radically altered how people communicate in our world, and one effect of these changes is a rise in inappropriate behaviors, like the use of derogatory language online. It might be challenging to express harsh or disrespectful ideas to someone right in the face. People believe it …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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Real Time Face Mask Detection with Deep Learning
Abstract: The pandemic because of COVID-19 needs no introduction. An all-too-important and successful weapon against it has been the utilization of face masks. A special technique is presented in this paper for detecting automatically whether someone is wearing a mask or not, contingent on the machine learning technique. The findings can be utilized by authorities to warn or fine people for not wearing mask, especially at public places. This work relies …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 8–14 Read article
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Performance Analysis of SVM and CNN Networks for Defect Detection in Solar Panel
Abstract: Use of solar panel in generating electricity is increasing globally day by day to meet the increase in demand of power. Many developments have been made in order to achieve higher efficiency of the system. But efficiency of the system may still decrease due to harsh environmental conditions or poor handling of the. These factors highly contribute in the performance degradation of the system. For detection of these irregularities, human …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 15–24 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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Detecting COVID_19 in X-ray images using artificial neural network
Abstract: In this paper, we propose a method for detecting COVID-19, which is most important for now days in lowering mortality rates. COVID-19 had a rapid impact on our daily lives, businesses, and global trade and transportation. Chest CT scans and CT x-rays reveal particular radiographic abnormalities in people with COVID-19 by means of faster and more efficient representation of the patient's lung that enables for the detection of viral phenomena. …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 32–38 Read article
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Missile Tracking and Detection Using SAR and MIMO Radar Signal Processing
Abstract: This paper presents a missile tracking and detection using SAR and MIMO Radar signal processing. SAR is a technique for computing high-resolution radar returns that exceed the traditional resolution limits imposed by the physical size, or aperture, of an antenna. By using Kaiser Window, the trade off exists between the main lobe width and the side lobe amplitude. Kalman filter is used to minimizing the maximum error between the frequency …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 1, Issue 1, 2016 · pp. 39–47 Read article
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Object Detecting Line Follower Robot
Abstract: Line following robot is a robot car that can follow a path. The path can be visible like a white line on the black surface (or vice-verse). As a result of this line following property it has many applications in future and now itself. Lines following robot with pick and arrangement abilities are ordinarily utilized as a part of assembling plants. These proceed onward a predetermined way to pick the …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 2, Issue 2, 2016 · pp. 20–24 Read article
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Smart Train Accident Detection and Prevention System Using IoT
Abstract: In our proposal, a dual-purpose derailment and train carriage detachment detecting system is introduced. In the modern era, it is crucial to design a suitable system with the aid of technology that can assist us in managing significant issues like rail accidents. To extract and method the information from the sensors in our project, we use Node-MCU. Regarding the situation in India, a sizeable portion of the population uses trains …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 9, Issue 1, 2023 · pp. 29–46 Read article
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Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers
Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article
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Approaches to Transmission Line Fault Detection Utilizing GPS: An Overview
Abstract: Transmission line protection is essential since 80–86% of power system issues are related to transmission lines. This study suggests a way to classify and identify different types of short circuit faults on transmission lines. There are several operating and fault conditions on high-voltage line transmission, such as L-L fault, single phase to earth fault, and double line fault. Proteus Professional 8 software simulates three fault scenarios: triple line fault, triple …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 1, 2024 · pp. 33–42 Read article
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Monitoring Urban Sprawl and Land-Use Change Detection with GIS and Remote Sensing Techniques in Latifabad Town Hyderabad, Pakistan
Abstract: Constant rapid urbanization is associated with the reduction of natural resources and the expansion of irregular and uncontrolled expansion, rapidly increased population, and increasing immigrants towards urban areas. In this paper, land-use change is considered the main component in monitoring urban growth. In the context of land-use change, the study analyzes the gap of sustain infrastructure; led towards the conversion of residential areas into commercial areas and subdivisions of various …
Published in International Journal of Town Planning and Management · Vol. 7, Issue 2, 2021 · pp. 41–51 Read article
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Fluorescence Detection Measurement of Quinine Sulphate Concentration
Abstract: For investigative study and analytical scientific applications, fluorescence spectroscopy analysis is a fantastic instrument. In additional to mineralogy, fluorescent labelling, sensors, and forensics applications, it is often utilised in biological, chemical, pharmaceutical, and medicinal applications. Additionally, it is employed for environmental monitoring, laser-induced chlorophyll fluorescence for agricultural yield evaluations, and the detection of proteins, organic substances, oils, and dyes. Quinine sulphate at a concentration of 10-5 M in 1 M …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 8, Issue 1, 2022 · pp. 25–29 Read article
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Improved Approaches of Image Forgery Detection using SURF and 4-level DWT
Abstract: ABSTRACT Today, there are various types of image tampering techniques, and copy-move forgery is one of them in which a piece of the picture is copied and pasted on another part of a picture. The study reviewed the several methods proposed to achieve this goal. This method generally uses both the feature point-based and the block-based algorithm. We use DWT (discrete wavelet transforms) for the decomposition of an image into …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 1–8 Read article
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Deep Learning to Detect Pneumonia from Chest X-Ray Image
Abstract: Pneumonia is an acute pulmonary infection that is caused by viruses or by bacteria and it causes inflammation in the lungs. In 2019, a total of 2.5 million people died because of pneumonia, out of which, one third were younger than the age of 5. This infection was diagnosed by taking a chest Xray. The prediction of diseases is mainly based on human knowledge. In this, the probability of human …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 8–14 Read article
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Deep Learning in Medical Image Classification and Object Detection: A Survey
Abstract: Deep learning methods have demonstrated superior performance in the area of computer vision, speech recognition, natural language processing, healthcare, and many more. Convolutional neural networks (CNNs) are a class of deep learning methods that have the ability to learn from raw data available as images, audio, or text. CNNs have become a powerful tool for variety of pattern recognition tasks due to the availability of abundant data and GPU-based training. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 1–15 Read article
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Fake News Detection Based on 3-HAN Architecture Using Deep Learning Techniques
Abstract: Fake news spreading is a common scenario we see nowadays in this modern era of social media and smart phones. According to the New York Times, fake news is described as “a made-up story with the intention of misleading, frequently with financial gain as the motive.” The problem is complex, given its varied interpretations across the globe. Hence, an effective system is needed to detect whether the given news is …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 21–31 Read article
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Detection of Phishing Sites Using Machine Learning
Abstract: The content of phishing websites and online-based material provides a variety of indicators. One of the criminal attacks that are successful in the online world is phishing sites that direct users to a phishing website that looks and acts like a legitimate website in order to steal the victim's personal and sensitive information. The Extreme Learning Machine-based version that was suggested was excellent at spotting phishing websites. Internet page types …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 33–39 Read article
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Algorithms Used for D-STATCOM to Achieve Compensation Current Detection
Abstract: Now a day’s power electronic based equipments are used in industrial and domestic purpose. Passive filter has been used traditionally for mitigating the distortion due to harmonic current in industrial power systems. But they have many drawbacks such as resonance problem, dependency of their performance on the system impedance etc. To overcome of such problem active power filters is introduced. It has no such drawbacks like passive filter. They inject …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 2, 2017 · pp. 7–19 Read article
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Sign Language Alphabet Detection System
Abstract: Currently, gesture recognition for hands and sign language detection for human-computer interaction isthe main emphasis of computer vision and machine learning. The creation of systems that can identifygestures and use them to transmit data or control devices is one of the main goals. Specifically, handgestures entail dynamic hand movements that require explanations in both the spatial and temporaldomains, whereas hand postures reflect the static structure of the hand. The goal …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 29–35 Read article