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15 articles for “automatic identification”
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Intelligence Video Surveillance Using Deep Learning
Abstract: Intelligent video surveillance powered by deep learning represents a transformative paradigm in security and surveillance. This new approach uses the power of complex neural networks to revolutionize the analysis and management of video data. Through the seamless incorporation of deep learning technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN) into observation systems, automated identification, tracking, and classification of objects can be accomplished, alleviating storage constraints on the …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 9–20 Read article
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Advanced Encryption Framework for Secure Cloud Storage
Abstract: It is crucial to protect data in the current setting where the cloud has become a common home for storing information. This project provides a novel solution for generic file sharing and protection where data is stored in the AWS S3 system with the aid of cryptographic algorithms. In the development of the proposed system, AES and RSA modes of security are used to enhance security in the file uploading, …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 1–11 Read article
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Identifying Fake News Using Big Data
Abstract: In today's world, where digital information spreads swiftly, the rise of fake news poses a threat to society. This research paper presents a method to address this issue by employing data analytics. To address the issues of misinformation, public manipulation, and threats to democracy we propose a framework. Our strategy incorporates advanced methodologies, including natural language processing, machine learning, and network analysis. Using these techniques, we examine various data sources …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 7–14 Read article
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Facial Expressions Detection Using Machine Learning
Abstract: Facial expressions are necessary in human communication and understanding emotions. First and foremost, identifying emotions is a critical factor for many businesses to comprehend how their customers are responding to the things they have introduced. It can also be utilized to find out if the amenities provided to their staff are meeting their needs. Additionally, it has a plethora of other applications, such as utilizing a camera to identify someone's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 11–16 Read article
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Improved Programming Model Using AI: Shifting from Imperative Coding to Declarative Intent
Abstract: The contemporary software development lifecycle is burdened by significant cognitive friction, characterized by high demands for syntax recall, boilerplate management, and painstaking manual debugging. This paper proposes and examines a novel programming model built upon deeply embedded artificial intelligence, moving beyond simple code completion tools to establish a truly intent-based, declarative development environment. The proposed model leverages specialized large language models and domain-specific generative agents (Cognitive Programming Assistants, or CPAs) …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 1–9 Read article
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Fire-Fighting Robot Autonomous and Manual Control via Bluetooth
Abstract: Abstract— With the appearance of technology, humans square measure replaced with robots in dangerous things. we tend to aim to style automaton capable of sleuthing and suppressing fires. by creating and deploying a manual and automated firefighting robot that can use water to identify and put out fires. In this study, we demonstrate both a manually operated and an autonomous robot that can go approach a fire and use water …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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Hybrid ABS & CF-ABS FDM Printing Tensile Components: A Comprehensive Review and a Novel Taguchi–FEA Based Methodology Framework for Mechanical Optimization
Abstract: Abstract An experimental–numerical strategy and a critical literature survey were addressed to tackle the tensile response of hybrid Acrylonitrile Butadiene Styrene (ABS) and Carbon Fiber–reinforced ABS (CF-ABS) parts manufactured by Fused Deposition Modeling (FDM). The study employed a systematic literature synthesis to identify material challenges, reinforcement compromises and important process parameters that impact anisotropy as well as interlayer bonding. Dual-material tensile samples based on an Automatic Material System (AMS) printer …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 1–27 Read article
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Hybrid ABS & CF-ABS FDM Printing Tensile Components: A Comprehensive Review and a Novel Taguchi–FEA Based Methodology Framework for Mechanical Optimization
Abstract: Abstract An experimental–numerical strategy and a critical literature survey were addressed to tackle the tensile response of hybrid Acrylonitrile Butadiene Styrene (ABS) and Carbon Fiber–reinforced ABS (CF-ABS) parts manufactured by Fused Deposition Modeling (FDM). The study employed a systematic literature synthesis to identify material challenges, reinforcement compromises and important process parameters that impact anisotropy as well as interlayer bonding. Dual-material tensile samples based on an Automatic Material System (AMS) printer …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 1–5 Read article
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A Role of Machine Learning for Students' Academic Success Prediction
Abstract: This research paper aims to identify early predictions of students’ academic success with the help of different indicators. One of the crucial parts of the study is identifying additional indicators that play an essential role in defining students' academic success. Early prediction of success will be helpful for various stakeholders such as students, parents, educators/teachers, institutions, universities, and the government. Machine Learning is a part of Artificial Intelligence (AI) and …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 1, 2024 · pp. 1–6 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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Innovative Robotic Solutions for Safe Landmine Detection and Neutralization
Abstract: Given the proliferation of weaponry in today's globe, national security is critical. It is crucial to consider the security of both army personnel and residents of places that are likely to experience conflict because of this. In essence, a landmine is an explosive weapon that the enemy has concealed underground. Anytime a person or a car passes over it, it explodes. The pressure created by people or cars on the …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 8–12 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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IoT Based Automatic Fault Detection in Low Transmission Line
Abstract: Electric hazards associated to transmission lines are a big worry when negotiating India's complexelectrical distribution network. According to estimates from the National Crime Records Bureau, aboutone lakh individuals have perished from electrocution in only the last ten years. The average yearlydeath toll increased from approximately 11,000 to 12,500 between 2021 and 2025. According to CEI Electrical. Accident Statistics, it has reached 13,855 by 2023. Transmission line mishaps, especially inthe LT …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 · pp. 8–13 Read article
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Intelligent IoT-Based Parking System for Smart City Applications
Abstract: Abstract Modern urban life is increasingly disrupted by one of its most overlooked problems: inefficient and outdated parking systems. From long vehicle queues to wasted time and fuel, the lack of automation in parking management continues to create unnecessary stress for both drivers and facility operators. The absence of intelligent monitoring often results in poor space utilization and chaotic movement within parking areas. This research aims to solve that problem …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 2, 2025 · pp. 18–24 Read article