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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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A Comprehensive Study of Sensor and Camera Fusion for Real-Time Parking Space Detection
Abstract: Due to the rapid growth in urban vehicle density, there have been major problems in the effective management of parking space, which has caused congestion, more traveling time, wastage of fuel, and environmental pollution. Conventional parking systems are very ineffective, as they are based on manual surveillance and cannot provide drivers with much real-time information. To overcome these challenges, the present paper explores the design, development, and operation of a …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
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A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Smart Wearable Health Pendant Using IoT and Machine Learning for Heart Rate Monitoring and Detecting Falls
Abstract: Cardiovascular illnesses and accidental falls frequently occur among individuals and at-risk populations. This is the reason we genuinely require a device that can monitor their well-being continuously. We are referring to a health pendant designed for seniors and groups at risk can wear. This health pendant leverages Internet of Things technology and machine learning to monitor heart rate and identify falls. Our health pendant system incorporates an ESP32 microcontroller, a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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ANALYSIS AND DETECTION OF FINGERPRINT PATTERNS ACROSS THREE GENERATIONS IN FAMILIES OF THE VIDARBHA REGION POPULATION
Abstract: Fingerprint patterns are unique and reliable for identification. This study focuses on a comparative analysis to determine the inheritance of fingerprint patterns across three generations in families of the Vidarbha region population. The sample collection process for this comparative analysis involved working with 100 families. The study aims to gain insights into the hereditary aspects of fingerprint characteristics among three generations. The research methodology involves the collection of fingerprint samples …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 2, 2026 Read article
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Deep Learning models for real time detection of crop diseases in the Maharashtra/Mumbai district
Abstract: This research project addresses the critical agricultural challenge of crop disease management in the Maharashtra region of India by leveraging modern deep learning techniques. The primary objective is to identify, implement, and compare the efficacy of various deep learning architectures—including Convolutional Neural Networks (CNNs), MobileNet, and EfficientNet—for the real-time classification of diseases in key crops such as cotton, soybean, and sugarcane. A custom dataset of agricultural images specific to Maharashtra's …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 36–48 Read article
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Multivariant Disease Detection from Different Plant Leaves and Classification
Abstract: Agricultural growth is significant in Indian GDP which is based on yield of crops, quality of the plants and procedure of the plants taken. To maintain good quality of plant, the plant diseases should be identified and then given proper suggestions to farmers for specific fertilizers and pesticides to be used. The use of specific fertilizers or pesticides makes plant more health with good quality so that farmers can get …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 27–35 Read article
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Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach
Abstract: In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications. This paper presents an efficient hybrid framework that merges two mathematically sound methods, namely, DTT and PDE defined as the Heat Equation, to robustly denoise a signal with minimal distortion. The model addresses one of the most challenging tasks in signal restoration, which maintains the fidelity of …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 9–14 Read article
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Bias Detection and Accuracy Enhancement in Voice-based Banking Authentication Using Deep Learning
Abstract: Biometric systems have become an integral part of how many people access banking services today, and voice verification systems can be a secure and easy-to-use source of banking authentication that does not require any physical contact with the bank or any other person. From the security perspective, these systems would normally provide an effective means of identifying an individual but frequently exhibit bias with respect to demographics such as the …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
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Automatic Gate Based on Facemask and Temperature Detection
Abstract: The coronavirus COVID-19 pandemic has been spreading over the world for months and is producing a serious health problem. According to the World Health Organization, wearing a face mask in all situations where people are congregated is a beneficial and safe strategy (WHO). India's large population would make it difficult to prevent the coronavirus from spreading. Face masks and sanitizers are the most effective methods of preventing transmission. When it …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 24–37 Read article
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Context Inference: Light-Weight Online Unsupervised Posture Detection by Smartphone Accelerometer
Abstract: This paper proposes a mild-weight online classification method to locate the user-centric postural movements, inclusive of sitting, standing, walking, and jogging, through smartphones. These moves are named user states considering that they're inferred after the evaluation of records acquired thru the accelerometer sensor built-in smartphones. To distinguish one-person country from some other, much research may be observed in the literature. But, this has a look at differs from others via …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 3, 2020 · pp. 12–20 Read article
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Detection of Stator and Rotor Winding Faults in Induction Motor using Park’s Vector Approach
Abstract: The Induction Motors in every rotating machine’s heart and it’s a very important component in amuch. Almost 90 percent of the Induction Motor use in industry as a prime mover. So Induction Motoris necessary to Condition Monitoring for Economic Running Cost. Condition Based Monitoring ofInduction Motor has become an important and difficult task for Engineers and Researchers mainly inIndustrial applications. Several Condition Monitoring Methods (Technique) including Motor CurrentSignature Analysis Monitoring, …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 1, 2021 · pp. 6–17 Read article
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Machine Learning Techniques Utilised for Autism Spectrum Disorder Detection
Abstract: A neurological developmental illness called autism spectrum disorder impacts a person’s ability to connect, communicate, and learn. Autism spectrum disorder influences individuals in distinct ways, as do the severity and its manifestations. Often, this illness is diagnosed in individuals between the ages of 1 and 5 years, and the symptoms include unique behaviours, interests, and potential social difficulties. In order tTo lessen the rise in instances of autism, it must …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 32–37 Read article
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Design of Multifunction Stethoscope with Auto Gastrointestinal Wriggle Detector
Abstract: As the acoustic stethoscopes can't compete with the magnified sound quality so the digital stethoscopes provides even better identification of conditions. The objective of this work is to design a digital stethoscope with multifunction modes, which provides sound analysis for different body signals acquired from heart, lungs and abdomen. Using this system a doctor can not only analyze the sounds but also identify the gastrointestinal wriggling occurrence in the human …
Published in Journal of Electronic Design Technology · Vol. 4, Issue 2, 2013 · pp. 7–12 Read article
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Active Fire Protection for a Hospital Building by Fire Suppression and Fire Detection Alarm Systems
Abstract: Fire protection systems are often disregarded, underutilized, and misunderstood despite their critical role in safeguarding lives and property. Although the requirements for these systems have been clearly defined and the widespread benefits of their installation in all types of structures are well recognized, some individuals, including the general public, show little to no interest in fire protection. This lack of interest can be attributed to a lack of awareness regarding …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 1, 2023 · pp. 19–26 Read article
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Squat Angle Detection Instrument for Powerlifting Sport
Abstract: Squat exercise in powerlifting is prominent for building lower limb muscles of the body which issupported on the feet and the knee is bent so that the buttocks rest on the heel. Powerlifting Squatrequires the lifter to squat down until “the top surface of the legs at the hip joint is lower than the topof the knees”. In powerlifting, the qualifying weight for a squat must be 90 kg or …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 1, 2023 · pp. 40–51 Read article
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Robotic Systems for Coal Mine Exploration and Associated Hazard Detection: A Review
Abstract: This review paper presents an overview of the technological work done in the field of robotic systems implementation in underground coal mine rescue activity. Coal mining professionals are exposed to numerous lethal hazards in a coal mine which primarily include roof collapse, gas explosion, CO and CO2 gas poisoning, low O2 content, high temperature, suffocation due to smoke and coal dust, inundation, subsidence etc. Robotic systems find imperative applications in …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 1, 2016 · pp. 25–48 Read article
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Machine Learning Techniques for Early Detection of Heart Disease
Abstract: Cases of heart disease are increasing rapidly, thus it's important and concerning to be aware of any potential ailment beforehand. This diagnosis is a difficult task that must be completed fast and precisely. The primary goal of this study is to determine which patient, based on different medical features, has a higher chance of having heart disease. We created a heart disease prediction algorithm based on the patient's medical history …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 16–21 Read article
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ASSESSING RISKS OF FIRE ITS CONSEQUENCE MODELLING AND DETECTION SYSTEMS FOR OFFSHORE INDUSTRIES
Abstract: Offshore industries are well recognized all over the world for its complex conditions, geometry, robustness, and rigidness. A small mistake can immediately escalate to catastrophe, of all the accidents reported till date fire is the most frequently reported one. Major accidents like the Deepwater Horizon, piper alpha has taught entire crude industry a lesson on how important it is to prevent fire occurrence. therefore, it is necessary to study fire …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 11–16 Read article
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Analysis of Cognitive Radio Spectrum Sensing Algorithms Using Various Noise Channels
Abstract: As we know that now a day’s there is a huge advancement in wireless communication and its applications, efficient use of spectrum has been a great issue for researchers. Due to such issue, development in cognitive radio (the intelligent network) has been in demand which will analyze the spectrum to increase its efficiency by utilizing it properly. This paper focuses on sensing the spectrum in order to find out the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 2, 2015 · pp. 11–16 Read article