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509 articles for “detection”
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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
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A LITERATURE REVIEW OF INTELLIGENCE INTRUSION DETECTION PREVENTION TECHNIQUES FOR UNKNOWN MALWARE FINDING
Abstract: Intrusion detection system (IDS) has played a vital role as a device to guard our networks from unknown malware attacks. However, since it still suffers from detecting an unknown attack, the ultimate challenge in intrusion detection field is how we can precisely identify such an attack. For identifying known malware various tools are available but that does not detect Unknown malware exactly. It will vary according to connectivity and using …
Published in International Journal of Digital Communication and Analog Signals · Vol. 1, Issue 2, 2015 · pp. 1–8 Read article
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Recent Developments in Microcantilever-based Biosensors for Detection of Pathogens and Toxins
Abstract: Microcantilever-based biosensors have emerged as a highly promising platform for the rapid, sensitive, and label-free detection of pathogens and toxins. This paper provides an in-depth review of recent advancements in microcantilever biosensor technology, encompassing developments in microcantilever array fabrication, surface functionalization, motion detection methods, and specialized software for sensor system operation and analysis. The focus lies on applications pertaining to the detection of viruses, bacteria, and biological toxins. Additionally, the …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 1, 2023 · pp. 26–32 Read article
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New nanomagnetic bead dot ELISA immunoassay and its application to the detection of Giardial amblia copro antigen
Abstract: The discovery of vegetative forms or cysts of Giardia lamblia in the faeces of infected individuals is the conventional foundation of diagnosis. It has recently been used rather than techniques that rely on subjective microscopy of stool specimens of Giardia cysts, which can facilitate the diagnosis of Giardia lamblia in faecal specimens, with the advent of more objective techniques such as antigen detection, which can facilitate the diagnosis of Giardia …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 7, Issue 2, 2021 · pp. 34–38 Read article
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Intelligent Gear Inspection: Defect Detection through Digital Image Processing Algorithms
Abstract: A significant contributor to poor reliability and a source of humiliation for businesses are gear problems. The majority of the inspection procedures used in these businesses are laborious and manually. More thorough and accurate inspection procedures are needed to improve accuracy in finding gear problems. The present work fills this gap by implementing a Gear Defect Recognizer that uses local thresholding in conjunction with computer vision methodology to spot potential …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 13–21 Read article
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Design and Prototype of an Autonomous Car using Image Processing
Abstract: The goal of the project is to construct a working model of an autonomous vehicle. The car will receive the essential information from the outside world through the use of an HD camera for image processing. The car can drive itself safely and intelligently to the specified location, reducing the possibility of human error. Numerous currently used methods, like object and lane identification, are combined to offer the car the …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 6–12 Read article
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A Review on FPGA-Based Automatic Crash Detection and Airbag Deployment System
Abstract: Every year there are many people die or become injured due to car crashes around the world- -these injuries can vary from slight to severe. Airbags prevent car accident related injury and death. In order for the airbag to operate successfully (i.e., airbag to deploy properly, at the right speed, for the right amount of time) there has to be a decrease in the time that it takes to deploy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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AI-Based Deepfake Voice Detection Model for Hindi Language
Abstract: Most current research on deepfake voice detection focuses heavily on English or Mandarin, creating a significant security gap for Hindi speakers. To address this, we developed a detection framework specifically tailored for the Hindi language using a lightweight approach: Mel-Frequency Cepstral Coefficient (MFCC) feature extraction paired with an XGBoost classifier. We trained the system on a large dataset comprising over 99,000 real voice samples and roughly 3,800 synthetic samples, each …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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DEVELOPING A DRIVER DROWSINESS DETECTION SYSTEM (DDDS)
Abstract: Driver drowsiness accounts for over 18% of all traffic accidents in India, making it a major contributing factor. This study proposes a real-time, edge-based Driver Drowsiness Detection System (DDDS) that detects early fatigue signs and alerts drivers prior to accidents. The system employs a multimodal, bimodule strategy. In order to track face traits such eye closure, blink rate, yawning, head position, and gaze direction, the first module uses computer vision. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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Hybrid Machine Learning Model for EfficientBotnet Attack Detection in IoT Environment
Abstract: The rapid advancement and widespread adoption of internet technologies have led to a surge in cyber-attacks, with botnet attacks emerging as particularly detrimental. Identifying botnet activities is increasingly challenging due to the diverse attack vectors and the evolving nature of malware. As the Internet of Things (IoT) continues to expand, network devices become more vulnerable to these sophisticated attacks, resulting in significant security breaches and financial losses. In order to …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 31–38 Read article
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Comparison Analysis of Lumpy Skin Disease Detection System Using X-Ray Images of Animals with the Help of Deep Learning
Abstract: Lumpy Skin Disease (LSD), caused by the Capripoxvirus, is a highly contagious viral infection impacting cattle and other livestock, resulting in significant economic losses due to decreased productivity and mortality. Early detection is critical to mitigate its spread and reduce its impact on agriculture and dairy sectors. This study investigates the efficacy of deep learning methodologies for detecting LSD through X-ray images, offering a non-invasive diagnostic approach to identify internal …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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AI-Driven Hybrid Neural Network Architecture for Medical Image Segmentation: A Novel Approach for Early Disease Detection
Abstract: One of the key factors in detecting early diseases is medical image segmentation. Medical image segmentation can be very complex due to the differences in image quality, noise, and specific anatomical structures of individual patients. A novel approach for a hybrid neural network structure that combines the power of convolutional neural networks, and the transformer-based models is described here for improved accuracy and robustness of medical image segmentation. Unlike traditional …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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Advancing Early Detection of Menkes Disease Through Image Analysis and Biosensor Integration
Abstract: Menkes disease, a rare X-linked recessive disorder of copper metabolism, poses significant challenges in early diagnosis due to its nonspecific initial symptoms. This paper presents a comprehensive approach to enhance the early detection of Menkes disease by leveraging image processing techniques, pattern recognition algorithms, and innovative biosensor technologies. A novel framework is proposed that combines analysis of hair microscopy images, facial feature recognition, and copper-sensitive biosensors to create a multi-modal …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 24–34 Read article
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High-Performance Thin-Layer Chirography Detection of Ethambutol
Abstract: Ethambutol belongs to the class of organic compounds known as 1, 2 amino alcohols. Being a medication, it is primarily used to treat tuberculosis. Its route of administration is oral. It is readily absorbed by gastrointestinal tract and 50% excreted unchanged by urine. Capacity of protein binding is 20–30%. It is antitubercular agent i.e. inhibiting the synthesis of spermidine in myobacteria also inhibits the transfer of mycolic acids into cell …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 4, Issue 1, 2018 · pp. 31–33 Read article
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Image Enhancement and Lung Cancer Detection Using Anisotropic Diffusion Filter
Abstract: The leading cause of cancer-related deaths globally is lung cancer. According to the Global Cancer Statistics lung cancer is the leading cause of cancer-related fatalities with 1.8 million deaths and 2.1 million new cases. Early detection of a tiny tumor can stop cancer from spreading and greatly enhance prognosis and survival rates. Consequently, the creation of a sophisticated computer-aided diagnosis system (CADS) may be advantageous for the early therapy of …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 1, 2023 · pp. 21–29 Read article
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Brain Tumor Detection using Machine Learning Methods-KNN, SVM, DT, RF
Abstract: Brain tumor is a major contributor to illness and death worldwide, and timely diagnosis is essential for successful treatment and improved outcomes Recent research has looked into the possibility of machine learning algorithms for detecting and classifying brain tumours in medical pictures. In this study, four commonly used machine learning algorithms (K-Nearest Neighbours, Decision Trees, Support Vector Machines, and Random Forests) were evaluated for their effectiveness in brain tumor detection. …
Published in International Journal of Chemical Engineering and Processing · Vol. 9, Issue 2, 2023 · pp. 48–59 Read article
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Landslide Monitoring, Detection and Warning System by Wireless Sensor Network (WSN)
Abstract: Wireless sensor network (WSN) is one of the most hopeful field and has uncountable applications in the real-time systems. Execution of WSN in real-time system for landslide detection and warning system is discussed in the present paper. Sliding of rocks and soil is called landslide. It is triggered mostly because of heavy rainfall or melting of snow and can cause loss of lives and property. Using real-time monitoring the landslide …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 3, Issue 2, 2017 · pp. 24–28 Read article
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Detection of Stego from Motion Vector Patterns Using Steganalysis
Abstract: The ultimate goal of this paper is to detect a stego (encrypted message) in the compressed video using various steganalysis techniques. Although there are many steganalysis methods, in this paper we concern more about the detection accuracy so that no stego will be escaped. To capture all the deviations in the video we use the filters of higher orders. The temporal dependency of the motion vector planes is also considered …
Published in International Journal of Distributed Computing and Technology · Vol. 3, Issue 1, 2017 · pp. 9–13 Read article
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Underwater Image Enhancement and Edge Detection
Abstract: A hybrid image enhancement and edge detection algorithm for underwater images is proposed in this paper. The proposed enhancement algorithm augments the image quality and suppresses noise in underwater images. The novel edge detection process is centered on the pixel phase information present in images, thereby leading to edge pixels that are illumination invariant. Since, illumination influences a major portion of information in underwater images, subjective analysis of the proposed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 11–21 Read article
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Vehicle Number Plate Detection and Recognition System in Nigeria Using Deep Learning
Abstract: With over 200 million citizens, Nigeria is one of Africa’s largest and most populous nations. It is now essential to automate traffic management due to the rising number of vehicles in the nation. With the use of a deep learning technique known as the YOLO method, the study was able to construct an automatic vehicle license plate identification system that will recognize each of the vehicle license plates when many …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 32–45 Read article