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1987 articles for “Lap Splice Detection” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Histogram of Gradient (HOG) Method of Glaucoma Detection in Human Beings
Abstract: This study gives a brief information about the design and development of algorithms for the automatic detection of glaucoma using histogram of gradients methods with the classification being done using support vector machines.Keywords: Glaucoma, HOG, SVM, algorithms, gradient methodsCite this Article Fazlulla Khan, Ashok Kusagur. Histogram of Gradient (HOG) Method of Glaucoma Detection in Human Beings. Journal of Computer Technology & Applications. 2020; 11(1): 4–8p.
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 4–8 Read article
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Predicting Eye Blindness by Detecting Exudates in the Retina of Human Eye
Abstract: Diabetic retinopathy is a condition where a person suffering from diabetes starts to loosen his vision slowly as the severity of the disease increases gradually. We can diagnose this condition by the fundus image of the retina of the human eye; although it is very complicated for doctors to predict the conditions just by seeing the fundus images. By detecting diabetic retinopathy at the earliest, we can protect patients from …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 17–23 Read article
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IOT car with Face mask detector
Abstract: To monitor that people are following the basic safety principle in order to stay safe from the virus. To verify this, a face mask detection system for robot cars can be used. The Robot car will be controlled via app, and we can see live the feed in mobile app with Face mask detection. The primary of our project is to spread awareness of the COVID-19 virus. To monitor people …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 2, 2022 · pp. 30–34 Read article
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DDoS Attack Detection And Prevention
Abstract: Distributed Denial of Service (DDoS) attacks are huge scope helpful attacks propelled from an enormous number of traded off hosts called Zombies, is a significant danger to Internet administrations. Famous sites, for example, Yahoo, CNN, and Amazon, are among the notable casualties of DDoS attacks. Large number of companies transacting online are mainly facing the considerable loss as they are being targeted to DDoS attacks. DDoS attack works to shut …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 2, 2020 · pp. 7–14 Read article
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OCL Fault Injection-Based Detection & Prevention of LDAP Query Injection Vulnerabilities
Abstract: Security for web application is a prime concern today. Lightweight Directory Access Protocol (LDAP) is used in web applications for enforcing authentication. It may suffer from LDAP injection vulnerabilities and that leads to some security breaches such as login bypass and privilege escalation. This is because of poor implementation of LDAP applications. Here we propose a technique, OCL fault injection-based detection and prevention of LDAP injection vulnerabilities. Here the design …
Published in Journal Of Network security · Vol. 6, Issue 3, 2018 · pp. 5–8 Read article
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An Experimental Approach of Machine Learning Algorithms to Detect Botnet DDoS Attacks
Abstract: Botnets are one of the threats in a network to hamper the quality of the network by disrupting theresources of the network. These Botnets can be controlled remotely by Botmaster. The Machine Learning Algorithms play a major role to detect and control the Botnets that cause to DDoS attacks, malwares and phishing attacks that are vulnerable to network resources. The DDoS attacks are most dangerous malware events that disrupt whole …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 7–14 Read article
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DETECTION OF LUNG CANCER USING SOFT COMPUTING TECHNIQUES
Abstract: Cancer is a generic term that can affect any part of the body. Most cancers, 90%-95%, are because by environmental and lifestyle variables which cause genetic mutations. Inherited genetics account for 5% to 10% of the total. Early identification of lung cancer has improved patient survival and has been a vital study topic. It starts within the cells covering the bronchi and lung parts like bronchioles or alveoli. Due to …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 2, 2023 · pp. 1–12 Read article
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A Comparison of Rapid Card Test with Enzyme-Linked Immunosorbent Assay for the Detection of Hepatitis B Surface Antigen [HBsAg] in Tertiary Care Hospital
Abstract: Introduction: Hepatitis B virus (HBV) infection is one of the leading causes of death worldwide. The most important marker for HBV infection is HBsAg. In case of diagnosis of infectious disease, discordant results may have serious consequences among the patients as it causes unnecessary mental stress and tension. For proper diagnosis of infection as well as disease management and prevention, identification of appropriate test kit is necessary. Aims and Objective: …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 7, Issue 3, 2017 · pp. 27–31 Read article
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Detection of Hepatitis B Virus Coinfection among HIV Infected Patients in District Bharatpur, Rajasthan
Abstract: Aim: To screen for the coinfection of hepatitis B virus (HBV) in human immunodeficiency virus (HIV) infected patients. Methods: Hundred consecutive HIV infected patients were screened for HBV (HBsAg) using commercially available ELISA kit. Results: HBV coinfection was detected in 5/100 (5%) HIV infected patients. Male gender predominance was observed (80%), (four males and one female) and the median age was 37 years (95%CI ± 3.6) (range 20–55 years). Coinfection …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 8, Issue 2, 2018 · pp. 11–13 Read article
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Ventricular Arrhythmia Detection Techniques for ECG Signal: A Survey Approach
Abstract: Electrocardiogram (ECG) represents the electrical activity of the heart and is used to measure the rate and regularity of heartbeats. In this paper we propose a method for an Independent Component Analysis (ICA) based detection and classification of the ventricular arrhythmia. The malignant ventricular arrhythmia database from www.physionet.org/physiobank/database/vfdb has been utilized for evaluating the algorithm over MATLAB interface. This scheme assimilates ICA and probabilistic neural network for classifying critical arrhythmia …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 1, 2015 · pp. 25–30 Read article
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Gallbladder Papillary Carcinoma, The Difficulty of Early Detection: A Case Report
Abstract: Gallbladder carcinoma is the sixth most common malignant tumour of the gastrointestinal tract and the most frequent malignant neoplasm of the biliary tract. Papillary carcinomas are uncommon neoplasm’s, representing nearly 5–12% of all malignant gallbladder tumours. Evidence accumulated in the last 20 years indicates that papillary carcinomas of the gallbladder are associated with a better prognosis than conventional nonpapillary carcinomas.We report our experience with gallbladder papillary carcinoma incidentally diagnosed during …
Published in Research and Reviews : Journal of Surgery · Vol. 6, Issue 3, 2017 · pp. 12–16 Read article
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Measurement of Indoor Radon Concentration in a Residential House of Surrey (BC) Canada using LR-115 type II Plastic Detector
Abstract: Indoor radon concentration activity measurement has been considered as a useful parameter in evaluation of health hazards due to radon. The major health hazard is lung cancer attributable to radon in Canada which causes 16% of total lung cancer deaths. The purpose of this study is to determine indoor radon concentration (Bq/m3) and effective annual dose (mSv/yr) in a residential building. Plastic detector LR-115 Type II has been used for …
Published in Research and Reviews: A Journal of Toxicology · Vol. 12, Issue 2, 2022 · pp. 21–29 Read article
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Real-Time Crack Detection in Polymer Composites Using Embedded IoT Sensor Networks
Abstract: This study developed an embedded Internet of Things sensor network for real-time crack detection, localization, and severity assessment in glass–fiber-reinforced polymer composites. Four polyvinylidene fluoride sensors were embedded near the laminate mid-plane and connected to synchronized wireless acquisition nodes. Controlled low-velocity impacts generated graded damage states. Ultrasonic C-scan and optical microscopy provided independent labels. A compact multi-channel convolutional model processed normalized waveforms, spectral entropy, signal energy, and arrival-time differences at …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 866–899 Read article
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Polypyrrole-Based Conductive Polymer-Gated Single Electron Transistor with Deep Neural Network Assistance for Biomedical Energy Harvesting and Charge Detection
Abstract: The increasing demand for intelligent biomedical monitoring systems has accelerated research into ultra-low-power sensing technologies capable of operating with high sensitivity and minimal energy consumption. Conductive polymers have attracted considerable attention for biomedical and nanoelectronic applications due to their tunable electrical properties, biocompatibility, and environmental stability. Among them, Polypyrrole (PPy) is a promising functional polymer that can enhance charge transport and electrostatic coupling in nanoscale devices. In this work, a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Thermo-Structural Machine Learning Framework for Malicious Sample Detection and Validation in Polymer Composite Materials
Abstract: The increased use of polymer composites in aerospace, automotive, biomedical and industrial applications has increased the urgency of developing dependable methods to detect malicious samples with counterfeited resins, unauthorized additives, recycled components, hidden flaws, or purposefully degraded physical properties. Most current machine learning techniques have focused either on isolated spectral analysis or detecting flaws in materials; as such, they are unable to perform joint verification of both chemical authenticity and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Reproducible Low-cost Adaptive Cruise Control Platform with Lidar–Ultrasonic Sensor Fusion and Timer-conflict-free Servo-Scanned Blind-spot Detection on Arduino UNO
Abstract: Road traffic deaths caused by driver distraction and inadequate surroundings remain a big problem for preventable deaths. This paper talks about designing and testing an affordable, easy-to-copy Adaptive Cruise Control (ACC) system. It uses LiDAR-ultrasonic sensors to figure out how far things are in front of the car, and a servo-actuated, dynamically scanned blind spot detector. All of this runs on a single Arduino Uno. To measure front distance, they …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 58–70 Read article
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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Recent Advances in Nanotechnology-Assisted Liquid Crystal Biosensors for Sensitive and Naked-Eye Detection of Antibiotics
Abstract: The widespread use of antibiotics in healthcare, veterinary medicine, agriculture, and aquaculture has resulted in increasing levels of antibiotic residues in food products and environmental samples, posing significant risks to human health and contributing to antimicrobial resistance. Conventional analytical methods, including high-performance liquid chromatography (HPLC), liquid chromatography–mass spectrometry (LC–MS), enzyme-linked immunosorbent assay (ELISA), and electrochemical techniques, offer excellent sensitivity but require sophisticated instrumentation, skilled personnel, and extensive sample preparation. In …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 Read article
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Radon Estimation in Some Lakes and Fraser River Water of British Columbia, Canada using LR-115 Type II Alpha Track Detector
Abstract: Radon activity levels were measured in the five Lakes and Fraser River water samples collected from different locations of British Columbia in Canada. The purpose of this study was to compare Radon activity levels in all six sources of water. Water was collected in air tight bottles and stored for two weeks before investigation. LR-115 Type II nuclear track detectors of 1.2 cm2 were used for recording radon alpha tracks. …
Published in Research and Reviews: A Journal of Toxicology Read article