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509 articles for “detection”
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Lie Detector for Loyalty Test Using Biomedical Device
Abstract: This paper describes the real time working of a Simulink based blood pressure and body temperature monitoring system based on ATMEGA 328 (Arduino uno). The major monitoring system in use give the output on a liquid crystal display, even if it is a digital circuit, it is prone to noise and distortions. So, we are using a new technique to make this health monitoring system more accurate. We are adding …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 8, Issue 1, 2022 · pp. 8–13 Read article
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Automatic Vehicle Speed Reduction and Accident Detection System using RFID, GPS and GSM
Abstract: This research is focused on dealing one of the major problems with respect to Indian Road Safety i.e.,accidents caused due to over speeding vehicles and reckless driving near accident prone areas likehighways, hospitals, schools etc. Since the world is automating the industrial processes and practicesusing latest technologies, this project aims to further incorporate those practices in the domain ofroad safety. Through this project, we have integrated a micro controller along …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 7, Issue 1, 2021 · pp. 1–11 Read article
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Enhancing the Sensing Properties of Nanosensors for Detection of Gases
Abstract: In order to improve commercial gas sensors, many approaches have attempted to modify the sensing properties of metal oxide semiconductor gas sensors in order to achieve higher sensitivity and selectivity. Enhancements of the sensing properties of MOS sensor (Metal Oxide Gas Sensors) materials can be achieved by the development of sensors with nanoscale sizes and structures, such as nanoparticles, nanowires, nanorods etc.
Published in International Journal of Nanomaterials and Nanostructures · Vol. 1, Issue 2, 2015 · pp. 42–43 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Multi Label Sentiment Analysis of Covid Handling of Government through Tweets
Abstract: Determining someone's emotional state from a written text might be challenging, but it's crucial because textual expressions often transcend the use of emotion terminology. They emerge from the way concepts are seen and relate to one another inside the text. Text sentiment recognition is a critical skill for human-computer interaction. Text-based emotion recognition still requires further research, despite significant progress in speech and facial expression emotion detection. expressions and movements. …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 26–31 Read article
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Highway Condition Assessment System
Abstract: Roadside path holes convey a significant hazard to both pedestrians and drivers of motor vehicles. Road detection of damage is the responsibility of government agencies, which are made up of engineers and laborers. It is not practical to evaluate every section of the road efficiently by hand as it takes a long time and a large number of workers. The detection can be automated as a solution to this problem. …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 1, 2024 · pp. 21–30 Read article
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SMART SAFETY DRIVER DEVICE
Abstract: Road accidents caused by driver drowsiness, alcohol consumption, and vehicle fire hazards remain a major concern in transportation safety. This paper presents a Smart Safety Driver Device designed to enhance vehicle safety through real-time monitoring and automated alert mechanisms. The system integrates an eye blink sensor to detect driver fatigue, an alcohol sensor to identify alcohol presence, and a flame sensor for early fire detection. An Arduino- based controller continuously …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 45–53 Read article
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SMART SAFETY DRIVER DEVICE
Abstract: Road accidents caused by driver drowsiness, alcohol consumption, and vehicle fire hazardsremain a major concern in transportation safety. This paper presents a Smart Safety DriverDevice designed to enhance vehicle safety through real-time monitoring and automated alertmechanisms. The system integrates an eye blink sensor to detect driver fatigue, an alcoholsensor to identify alcohol presence, and a flame sensor for early fire detection. An Arduino-based controller continuously processes sensor data and activates …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 Read article
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From Traditional to Digital: An Analysis of Vending Machine System Evolution
Abstract: This paper proposes a smart vending machine system that makes use of Internet of Things (IoT), UnifiedPayments Interface (UPI), Radio-Frequency Identification (RFID), product level detection, andGPS/GPRS notification to provide a more efficient, secure, and easy vending experience for operatorsand customers. RFID is used for user authentication, and UPI facilitates payment transactions so thatusers can quickly make purchases without using cash or credit cards. Product level detection makessure that products are …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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“Role of Selecting Active Fire Protection Systems for Industrial Warehouses”
Abstract: Selecting the right Active Fire Protection (AFP) systems for industrial warehouses is crucial for protecting employees, assets, and the surrounding community from the devastating effects of fires. AFP systems are designed to detect and suppress fires or provide a means of egress during an emergency. They encompass systems inclusive of fire sprinklers, fire alarms, and the smoke control systems. Detection systems play a critical role in active fire protection by …
Published in International Journal of Housing and Human Settlement Planning · Vol. 9, Issue 1, 2023 · pp. 17–25 Read article
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Nanomechanics in Medicine
Abstract: Nanomechanics, an emerging field at the intersection of nanotechnology and mechanics, holds great promise for revolutionizing medicine. This article explores the significant role of nanomechanics in various aspects of healthcare, including diagnostics, drug delivery, tissue engineering, and cancer detection.One of the key applications of nanomechanics in medicine is in the development of nanomechanical sensors for disease detection. These sensors can detect biomarkers associated with diseases such as cancer at very …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 2, 2023 · pp. 22–26 Read article
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A Review on Touchless Calling Bell
Abstract: On the principle of proximity or motion detection using an ultrasonic sensor or infrared (IR) sensor. In the modern world, automation and cleanliness are essential for guaranteeing ease and safety in our day-to-day activities. The Touchless Calling Bell is a modern and innovative device designed to eliminate the need for physical contact while operating a doorbell. Traditional doorbells require users to press a switch manually, which may lead to the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this research, a hybrid deep learning strategy is introduced, where Generative Adversarial Networks (GANs) are used …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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Deep Learning for Smarter Farming: Innovations in Plant Disease Identification
Abstract: Agriculture is the backbone of global food security, yet plant diseases significantly impact crop yields and farmers' livelihoods. Traditional disease detection methods are often time-consuming and require expert intervention, making them less feasible for large-scale farming. Recent advancements in deep learning have revolutionized plant disease identification by offering automated, accurate, and efficient solutions. This article explores innovative deep learning techniques, including convolutional neural networks (CNNs) and transformer-based models, that enhance …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 27–32 Read article
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Face Recognition and Identification Using Computer Vision
Abstract: ABSTRACT In practice, identification of criminal in India is done through thumbprint identification. However, this type of identification has many constraints. Our face recognition poses to be able to detect face and recognize face automatically. Nowadays, face recognition systems use biometric for many security applications. This technique uses an image-based approach toward artificial intelligence by removing redundant data from face images through image compression using computer vision that compares a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 6–10 Read article
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For Analyzing Fraud in Credit Cards, Fuzzy Particle Swarm Optimization (FPSO) with Enhanced Support Vector Machine (ESVM) Classifier
Abstract: Credit cards are extremely significant in today’s economy. However, as the number of Credit Card clients grew, so did the number of Credit Card fraud instances. To fight the upward thrust in credit score card fraud, a number of techniques were recommended. In previous study, a unique fraud detection system was presented that uses similar cardholders’ behavioural patterns to construct a recent behavioural profile of a cardholder in order to …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 1–12 Read article
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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A Study to assess the Knowledge regarding Breast Self-Examination among Adolescents’ Girls of Govt. Girls Hr. Secondary School, Bairagarh, Bhopal
Abstract: Introduction: Breast cancer is a significant health issue globally, with 1.3 million women diagnosed annually. In India, an estimated 80,000 new cases are diagnosed each year, with 1 in 22 women likely to develop breast cancer. Early detection through breast self-examination (BSE), mammography, and clinical breast exams is crucial. However, awareness is low, especially in rural areas. BSE is a valuable screening tool, allowing women to detect changes and abnormalities. …
Published in International journal of Nursing Science Practice and Research · Vol. 11, Issue 2, 2025 · pp. 1–12 Read article
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Advanced Security System for Residential Complexes
Abstract: A sophisticated apartment safety system aimed at preventing unauthorized access and enhancing security within residential complexes. The system employs facial recognition technology to identify residents and regular visitors while capturing the pictures and data of unknown individuals upon entry. These individuals are provided with an RFID tag, enabling continuous tracking of their movement within the premises until they reach their intended destination so that we can monitor the person and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article