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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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Vehicle Pollution Detection Using Iot
Abstract: Pollution plays a big role in how quickly our planet is changing. rapid population growth, rapid urbanisation, quick industrialisation, and a sharp rise in the number of cars on the road.The balance of the natural ecosystem has been upset by road construction and other human activity. Seasonal changes and the deterioration of the climate are brought on by the accumulation of greenhouse gases in the atmosphere. Global warming, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 3, 2022 · pp. 27–34 Read article
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A Review of Smart Sensor-based Approaches for LPG Gas Leak Detection and Prevention
Abstract: In recent years, home fires have claimed a growing number of lives and pieces of property. Since it is very flammable, liquefied petroleum gas (LPG) can burn even some distance away from the spill. Poor-quality rubber tubes or instances in which the regulator is not turned off are to blame for most fire incidents. Due to the regulator's malfunction, the hob is currently receiving gas from the regulator. Gas leaks …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 1, 2023 · pp. 14–19 Read article
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Stress Detection System Using Internet of Things
Abstract: A change in electrical potential is caused by the confluence of hundreds of brain neurons, which is reflected by a brainwave. When a neuron has accumulated enough energy, it receives messages from nearby neurons and begins a cyclic discharge process. People also emit brainwaves on a regular basis for this reason. According to researchers at Michigan University's Laboratory of Brain Recognition and Behavior, long-term multitasking reduces productivity, and filtering out …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 2, 2021 · pp. 16–21 Read article
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The Emergence of REM Detection Algorithm
Abstract: The objective is to use these EEG features for developing a simple algorithm capable ofdetecting REM stage epochs. Both these objectives ultimately aid the development of a sleepstaging algorithm that could be used as part of a truly wearable sleep system. Spectral edgefrequency (SEF) is the frequency below which a certain fraction of the signal powerKeywords: EEG, EEG channel, REM, Spectral edge frequency, SEFd, signal
Published in Trends in Electrical Engineering · Vol. 10, Issue 1, 2020 · pp. 43–49 Read article
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Inter-satellite Optical Wireless Communication (IsOWC) System Design: A Study
Abstract: AbstractLaser communication links in space are attractive alternatives to present day microwave links. Space communication as employed in satellite to satellite link is traditionally performed using microwaves. High capacity inter-satellite communication crosslinks will permit more efficient and more reliable operation of future satellite systems. The mass, power consumption and size of optical transceiver module will be smaller than that of a microwave transceiver. On the other hand, inter-satellite communication is …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 1, 2018 · pp. 20–24 Read article
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Advanced Eye State Analysis for Bus Driver Fatigue Detection
Abstract: By using this method, we want to increase road safety by reducing the number of accidents caused by drowsy driving. The automatic identification of driving weariness is handled by this technology, which is based on optical data and artificial intelligence. We locate, track, and look at the driver's face and eyes to measure PERCLOS (% of eye closure) with Soft Max for the neural transfer function. Driver fatigue is one …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 1, 2023 · pp. 33–37 Read article
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Water Level Detection and Auto-cutoff
Abstract: The focus of this study is to explore Internet of Things and implement it to overcome a daily and reallife challenge. Additionally, we will talk about potential barriers to development. Throughout the study, we would cover the concept of Internet of Things, dealing with the definitions given in the past. We would also talk about the basic communication models of IoT (Internet of Technology) Devices. Moreover, we would consider a …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 1, 2023 · pp. 33–40 Read article
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A Survey on Deep Learning based Detection of Abnormal Human Behaviour using Computer Vision Human Activity Recognition System
Abstract: Abnormal Human activity recognition (Abnormal HAR) systems are very popular among researchers nowadays, they attempt to identify and analyze human activities using acquired information from sensors. Several papers have already been published in the abnormal HAR topics, the technologies in this field have multidisciplinary nature. They need constant updates. Our literature survey divided the approaches into three categories, the first one is about wearable sensor-based approach, the second one is …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 32–41 Read article
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Virtuality Keyboard by AI
Abstract: As everyone knows, computer vision is used to process images in machine learning. Today, for this wonderful task, we are using OpenCV and the cv-zone library in Python. Everyone is familiar with OpenCV, and the cv-zone is essentially a library for hand detection, pose detection, face detection, and other related tasks. By this, we created a keyboard named as “Virtuality Keyboard”. It is just another example of today's computer trend …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 24–36 Read article
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Automated Fake News Detection System
Abstract: The classification of fake news on social media platforms has drawn a lot of attention recently because it is so simple to put false stuff there. In addition, they prefer social media to traditional television as their news source of choice. These patterns have increased academics' understanding of fake news and inspired an increase in interest in its identification. The primary goal of this work was to classify incorrect information …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 70–78 Read article
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Intrusion Detection System Using Honeyword
Abstract: We proposed a most accurate and best method for improving the security of hashed passwords by providing of additional “honeywords” (false passwords) associated with each user’s account. An adversary who wants to steals a file of hashed passwords and inverts the hash function cannot tell if he has found the password or a honeyword. An auxiliary server (the “Honeychecker”) can distinguish the user password from honeywords for the login routine, …
Published in Journal Of Network security · Vol. 8, Issue 2, 2020 · pp. 24–32 Read article
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DoS Attacks and Detection Schemes in Wireless Mesh Networks
Abstract: The attacks of DoS are a group of collaborative attacks made by attackers to threat internet security. A compromised system was used by the attacker has been used prohibit the user to access the resources. The attacker uses compromised systems to prevent users from having access to the server resources. In this survey, we will find defense mechanisms against DoS attacks that may have importance through the internet. The appliances …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 11–19 Read article
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Emerging Paradigms: Leveraging Artificial Intelligence and Machine Learning for Enhanced Wireless Network Security
Abstract: Wireless networks have now become an indispensable component of our contemporary communication infrastructure, offering both connectivity and convenience. Nonetheless, the increasing complexity and constantly evolving nature of wireless networks present substantial security challenges. This work investigates the utilization of artificial intelligence (AI) and machine learning (ML) techniques to tackle these security issues in wireless networks. We delve into the principles and practices of applying AI and ML algorithms to enhance …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 18–25 Read article
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A Comparative Study to Assess the Knowledge Regarding Food Adulteration, its Detection and to Create Awareness among Homemakers Regarding Food Safety Standards in Selected Rural and Urban Community of Drug District, Chhattisgarh
Abstract: Health is wealth; happiness lies in the health of man. Good health helps to develop charm, grace and happy mind. Florence Nightingale recognizes the radically changed outcomes by addressing clean water, nourishing food, light and fresh air. Good nutritive food plays very vital role in maintaining proper health and also helps in prevention and cure of diseases. All body functions like metabolic, hormonal, mental, physical or chemical cannot be performed …
Published in Journal of Nursing Science & Practice · Vol. 9, Issue 1, 2019 · pp. 50–70 Read article
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Neuroendocrine Tumor – A Rare Detection in The Mandible
Abstract: ABSTRACT: Neuroendocrine tumors of the oral cavity and jaws are an extremely rare finding. Most have been non-functional in nature. Lung is the second most common location and causes secondary metastasis in the oral cavity. However, they are slow growing and have no severe clinical effects as pain or paresthesia and mimic benign lesions. This article presents a case of high-grade neuroendocrine tumor of the mandible which in turn metastasized …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 11, Issue 3, 2022 · pp. 11–14 Read article
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Diagnostic Algorithm of Multidetector Computed Tomography (MDCT) for Healthy Lungs to Detect Variations of Morphologic Index
Abstract: Introduction: Diagnostic algorithm of Multidetector Computed Tomography (MDCT) was established to make qualitative diagnosis with four types of shadows-increased Lung Attenuation, Decreased Lung Attenuation, Linear Pattern, Nodular Pattern and the nodular pattern is also used for qualitative assessment by being further classified as round, lobulated, polygonal, tentacular, spiculated, ragged and irregular pattern. Method: To establish the new diagnostic algorithm using MDCT result indicators, we selected morphologic indices to used CAD …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 1, 2022 · pp. 30–33 Read article
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Machine Learning Approach to Detect and Analyze Attention-Deficit/Hyperactivity Disorder
Abstract: Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterized by difficulties with attention, impulse control, behavioral regulation, and daily functioning that persist across childhood and adulthood. Clinical diagnosis is predominantly based on behavioral assessments and expert interpretation, which may result in subjectivity and delayed clinical decisions. To reduce reliance on subjective evaluation, this study introduces an automated ADHD identification framework that integrates resting-state functional Magnetic Resonance Imaging (rs-fMRI) with advanced machine …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 22–26 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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Intelligent Water Distribution Management using IoT
Abstract: Water plays a vital role in agriculture, making its efficient management essential for sustainable crop production. However, undetected leaks in irrigation systems can result in significant water loss, irregular watering of fields, soil degradation, and reduced crop yield. Conventional methods like manual inspection are not only labor-intensive but also ineffective in identifying leaks promptly – emphasizing the need for a smarter and automated approach to water monitoring. To address this …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 18–27 Read article
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YOLOv8 in Focus: A Review of its Application in Driver Monitoring Systems
Abstract: This research presents a novel Driver Monitoring System (DMS) that utilises Convolutional Neural Networks (CNNs) to achieve remarkable results. Specifically, the YOLOv8 (You Only Look Once version 8) detection technique is used. The main goal is to increase road safety by using cutting-edge computer vision techniques to analyse driver behaviour in real-time. The YOLOv8 detection method, a cutting-edge CNN model renowned for its precision and effectiveness in object recognition, is …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 35–40 Read article