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161 articles for “CAM model”
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An approach to adding knowledge constraints to a data-driven generative model for Carnatic rhythm sequence
Abstract: Computational models for generative music have been a recent trend in AI based technology developments. However, an entirely data-driven strategy often falls short of capturing the naturally occurring rhythmic grouping. Guedes et al. [1,2] had proposed dictionary based and stroke-grouping based approaches to generate novel sequences in the 8-beat cycle of Aditala. More recently an attempt of incorporating arithmetic partitioning, as conceived by performers, was made [3] to get rid …
Published in Trends in Electrical Engineering · Vol. 9, Issue 3, 2019 · pp. 11–17 Read article
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Design and Analysis of Nano-Vibratory Beam Gyroscope
Abstract: This paper presents the modeling and analytical simulation task of a nano cantilever beam gyroscope. Micro/nano gyroscope as an effective rate measurement sensor is of extreme importance in several modern equipments including aircrafts, satellites and even in small cameras. Several types of such gyroscopes are in use and various research simulations were performed over the last one decade. Compared to tuning fork and ring type, the beam type gyroscopes are …
Published in Trends in Machine design · Vol. 2, Issue 1, 2015 · pp. 1–7 Read article
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Cascade of Gait Recognition with Surveillance System in a Client-Server Environment
Abstract: ABSTRACTThis paper presents a system consisting of the application of gait recognition, a physiological biometric applied in a client-server environment. Now-a-days security plays a very important role in almost all fields and most of the public places like banks, airports, railway stations, etc., which require more security as the thieves and criminals are very intelligent whose objective is to create problems for human life and many untoward incidents. The gait …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 26–36 Read article
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Risk Analysis of Android Apps and Fake ID Flaw Solution Model
Abstract: In this era of modern technology where everyone rely on the latest technical specifications especially concerning with the latest mobiles and apps. Keeping this in mind the various software companies have launched their own operating system for mobile, and in the same field ‘Google’ also launched their own mobile operating system android which has its own technicality and specification which is competing with the other company’s operating system. After using …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 3, 2015 · pp. 46–58 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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FACE EMOTION RECOGNITION TO DETECT DEPRESSION
Abstract: In the current competitive world, one of the most familiar and grave mental illness we encounter in humans is Depression also called as major depression or major depressive disorder. It makes you feel depressed and disinterested all the time, which has a bad impact on your thoughts and behaviour. Thus affecting not only the victim but also people associated with them, such as family, friends and society. If not treated …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 1–14 Read article
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Advance Surveillance System Integrated with Weapon Detection and Accident Detection
Abstract: Security concerns have become paramount as there is rise in crime rates in crowded events and isolated areas. Abnormal event detection and monitoring system, utilizing computer vision, are crucial for tackling these challenges. In parallel, reducing mortality rates from accidents by ensuring timely emergency response in essential. This study presents the implementation of automatic weapon detection and accident detection. In weapon detection, YOLO v4, Convolutional Neural Networks (CNN), and Faster …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 1, 2025 · pp. 47–54 Read article
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Hybrid Intelligence in Cyber Security: A Study
Abstract: The digital landscape is a battlefield of escalating complexity, where the volume, velocity, and sophistication of cyber threats have exponentially outpaced human-centric defense models. Traditional rule-based security systems and siloed artificial intelligence (AI) solutions, while valuable, are increasingly brittle, overwhelmed by zero-day exploits, polymorphic malware, and coordinated, state-sponsored campaigns that operate in the shadows of big data. This paper posits that the paradigm of cybersecurity must fundamentally shift from one …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article
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Machine Learning Assisted Design and Analysis of Polymer Composite Materials for Sustainable Renewable Energy Systems
Abstract: Accurate prediction and optimization of polymer composite properties is of paramount importance in the design of these lightweight, durable, and sustainable materials within renewable energy technologies. This work will provide a holistic machine learning-assisted framework that unites materials informatics with domain-specific features and state-of-the-art ML methodologies in the prediction of the mechanical properties of polymer composites, such as tensile strength. This includes embedding several ensemble models, including Random Forest and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 391–402 Read article
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Optimization of Manufacturing Process of Booster Rocket to Reduce the Cost
Abstract: The spacecraft is launched into earth orbit or beyond with the help of boosters. After entering into earth orbit, the booster leaves the spacecraft and falls back into the earth after reaching a point called as booster engine cut-off (BECO). The spacecraft continues flight after leaving the booster with upper stage engines. Some of the boosters are recovered, reconstructed and reused. The boosters used for space shuttle are recovered and …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 7, Issue 1, 2018 · pp. 24–34 Read article
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Unveiling Sustainable Solutions: The Quest for Green Construction Practices
Abstract: The construction industry in India has been experiencing significant growth, contributing a substantial portion to the country's GDP. It encompasses residential, commercial, industrial, and infrastructure projects. The construction industry abroad varies greatly depending on the region and country. Developed countries like the United States, European nations, and Japan have mature construction sectors, focusing on infrastructure maintenance, renovations, and sustainable building practices. Emerging economies in Asia, Africa, and Latin America are …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 2, 2023 · pp. 33–50 Read article
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Sign Language to Speech Translation and Emergency Alert System for Dumb persons using Ml and IOT
Abstract: This project proposes a novel approach for gesture recognition using key point extraction and neural networks. Our proposed system leverages key point extraction techniques to capture fine-grained spatial information from input gestures. These key points are then fed into a neural network model, allowing for automatic feature learning and robust gesture classification. The goal of this project is to integrate OpenCV's computer vision capabilities to build a flexible and effective …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 17–21 Read article
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Adaptive Machine Learning Framework for Navigation Control of Autonomous Drones
Abstract: The rise of autonomous drones has expanded UAV applications across sectors like surveillance, delivery, agriculture, and rescue operations. However, traditional navigation systems face limitations in adapting to dynamic environments. This study proposes an AI-driven adaptive navigation framework that leverages real-time sensor data, reinforcement learning, and adaptive control strategies to enhance drone autonomy, scalability, and security. The system processes mission inputs, environmental data (from LiDAR, cameras, GPS, and weather sensors), and …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 1–7 Read article
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Hand Gesture Recognition
Abstract: The goal of this research is to detect and recognize hand motions. Photographs of hand gestures are captured using a camera and compared to images in the database; all images are divided in testing and training data set and converted into train. Record and test. record. This. records file trained in TensorFlow Mobile Net pre trained model. Loading of this model using karas gives us the best match of video …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 7–15 Read article
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Statistical Modeling for Climate Matching between Some Saudi Cities and Some Cities in the United States of America
Abstract: In a research project entitled "Structural Pavement Design for Saudi Arabian Roads", the researchers aimed to suggesting a complete structural pavement design system for the highway network of The Kingdom of Saudi Arabia (KSA). This main objective took into consideration changes of the materials along with prevailing environmental and traffic loading in various regions of KSA. The importance of this research project came from the fact that structural design techniques …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 3, 2019 · pp. 32–40 Read article
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Assessing the Influence of Loading Mode and Stabilization on the Deformation of Gypseous soil
Abstract: Gypseous subgrade soil usually exhibit acceptable strength when compacted with optimum moisture requirement and tested in dry condition. However, it loses its strength when came in touch with water. Such behaviour possesses a risk of failure when such soil is implemented in the construction of roadway embankment. In the present investigation, Gypseous soil was implemented in the construction of eight embankment models. The first model was the soil tested in …
Published in Journal of Geotechnical Engineering · Vol. 10, Issue 2, 2023 · pp. 34–40 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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Atomizers in spray dryers: a review
Abstract: Atomization is the most important step in spray drying that defines the properties of liquid droplets after spraying, resulting in various forms of the dry product - from fine powders to granules. It basically refers to the disintegration of the liquid into droplets in the presence of a drying gas circulating in the medium, increasing its surface area until the droplet becomes unstable and disintegrates. The choice of the atomizer's …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 8, Issue 1, 2021 · pp. 1–15 Read article
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Prediction of Mobile Phone Price Using Machine Learning Classifiers
Abstract: One cannot imagine one's life without mobile phones; in today's digital era, mobile phones have become a necessity for everyone to fulfil their various demands like messaging, communication, entertainment, productivity, research, shopping and many more. In a thriving market of mobile phones where new smartphones are launched every year with new advanced features and various designs, determining the expense of a mobile can be a trouble-some tasks for consumers. In …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 101–108 Read article
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Real Time Automobile - Caused Air Pollution Monitoring System
Abstract: The system proposed in this paper aims to be a novel approach for real-time detection and quantification of vehicular emissions, integrated into smart city infrastructures. The structured workflow enhances accuracy and efficiency. The license plate is captured by OCR, while the ground clearance is simultaneously measured, allowing the thermal camera to dynamically adjust its position to align with the tailpipe level. The emission data is collected and transmitted to a …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 49–55 Read article