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695 articles for “Automated Model”
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Optimization of Automatic Energy Management System Using Renewable Resources
Abstract: With the increasing demand for energy efficiency and sustainability, smart home energy management systems (SHEMS) have emerged as promising solutions to optimize residential energy consumption. This paper presents a comprehensive review of SHEMS technologies, focusing on their design, implementation, and impact. SHEMS integrates advanced sensors, real-time data analytics, and intelligent algorithms to monitor, control, and optimize energy usage within the home environment. By leveraging machine learning and predictive modelling techniques, …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Automatic Car Controller Based on Sign Board using Deep Learning and IOT
Abstract: The rapid growth of intelligent transportation systems has increased the demand for safer and more efficient driving solutions. Conventional vehicles often rely heavily on human intervention, which can lead to accidents due to negligence, fatigue, or poor visibility of traffic signs. This project proposes an automated car control system that utilizes deep learning and Internet of Things (IoT) technologies to recognize traffic signboards and respond accordingly. The primary objective is …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 16–24 Read article
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Weight Calculation of Forging Die Design for Gear Blank
Abstract: Forging is one of the most adopted manufacturing processes, in which raw material is plastically deformed in to desired shape and size of component. The majority of the crucial load bearing structure component as well as safety critical items are processed through forging process. This is mainly due to the strength and dimensional accuracy of component can be achieved in forging process. Faster production of complex shapes with the less …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 53–58 Read article
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Automobile Augmented Reality E-Catalogue
Abstract: The automobile augmented reality (AR) E-catalogue is an imaginative application that employs augmented reality innovation to supply an immersive and intelligent way for clients to browse cars and other vehicles online. The application permits clients to see and associated with virtual 3D models of cars in a real-world environment, giving them a much better understanding of the estimate, plan, and highlights of the vehicle. The vehicle AR E-catalogue empowers clients …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 23–27 Read article
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IoT-Based Smart Public Sanitation Monitoring System with Real-Time Air Quality Analysis
Abstract: Maintaining hygiene in public sanitation facilities remains a critical challenge in urban environments due to inefficient monitoring and delayed maintenance responses. This paper presents an IoT-enabled smart toilet monitoring system designed to assess and manage restroom cleanliness in real time using environmental sensing and automated decision-making. The proposed system integrates multiple gas sensors (MQ135, MQ8, MQ4) and temperature sensors with an Arduino Uno to continuously monitor air quality parameters such …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
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Transforming Human Resources Leveraging AI Across the Associate Lifecycle for Strategic Success
Abstract: AI is taking the lead in changing the game in human resources by mitigating challenges and optimizing processes throughout the entire associate lifecycle. From pre-hire, AI helps with interview bias, enhances hire projections, and supports talent acquisition with predictive analytics. Once onboarded, AI helps with compensation benchmarking, automates performance feedback with the mitigation of bias, and analyzes associate sentiment through NLP and LLMs. In the middle of the life cycle, …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 30–36 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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Convolutional Neural Network and Transfer Learning-based Approach for Brain Tumor Detection in Magnetic Resonance Imaging
Abstract: Brain tumors are among the most invasive illnesses that can affect both children and adults. Brain tumors develop very quickly, and if not treated at the proper time, they decrease the patient's chances of survival. It is crucial to find brain tumors at an early stage. To increase patients’ life expectancy, proper treatment planning and precise diagnostics are most important. The best way to detect brain tumors is via Magnetic …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 2, 2023 · pp. 23–30 Read article
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Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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A Multimodal AI-Based System for Real-Time Harassment and Violence Detection Using Surveillance Cameras
Abstract: Public safety in urban settings, as these areas are crowded and experience increasing incidents of harassment, verbal abuse, and physical violence. Traditional CCTV surveillance systems heavily rely on human operators who have to continuously monitor the video feeds, which is inefficient and prone to human error. AI-based harassment and violence detection systems automatically monitor public environments in real-time using video and audio analysis. The system is based on a multilayer …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 8–21 Read article
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Securing Toll Booth Data Using Blockchain
Abstract: Presently, blockchain has come up to be one of the most famous and assuring technologies in the smart transportation system. Smart vehicles communicate with each other through internet. Data sharing is important as it encourages more collaboration among the involved participants. So, in order to do secure data sharing in vehicular networks, we require a decentralized mechanism which is scalable and secured. Previously, the collection of road toll was done …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 2, 2022 · pp. 28–35 Read article
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Mathematical Modelling of an Unbalanced Rotor Subjected to Transverse Vibrations
Abstract: The static and dynamic balancing of a rotor plays a very important role in deciding the life-span of any turbo-machinery which is running at a very high speed. The major problems which face during the running of turbo machineries are unbalancing of the rotor. Rotor unbalance may be due to wrong selection of the manufacturing process, method of manufacturing, wear and tear of rotating component, thermal deformations, deposition of material …
Published in Trends in Machine design · Vol. 7, Issue 1, 2020 · pp. 9–16 Read article
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A Review on Novelty of Design and Development of Pneumatic Bicycle
Abstract: In the current day scenario, the trend in the automotive industry is shifting towards the development of light weight vehicles. Amid the cut throat competition, the competitors are majorly aiming at reducing the weight of vehicle. This in turn tends to help in the better handing of the vehicle and increases the efficiency of vehicle compared to the existing models. Moreover, in the modern day scenario it is of major …
Published in Journal of Aerospace Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 1–4 Read article
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Computer based Automated Detection of Diabetic Retinopathy Stages using Neural Network
Abstract: Diabetic Retinopathy (DR) is a condition where a person suffering from diabetes for more than 10 years and has problem in vision. Due to DR, blood vessels in retina gets damaged. Patient also suffers from a blurred vision, finds difficulty in seeing colors in some cases or even total loss of vision. Retinal surgeries can relieve the symptoms, but efficient way to tackle DR is controlling diabetes and managing early …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 2, 2020 · pp. 13–17 Read article
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Different Aspects and Processes in 3D Printing: An Overview
Abstract: 3D Printing or Additive manufacturing produces actual items from geometric representations by layering on materials one after the other. 3D printing is a rapidly developing technology. These days, 3D printing is employed all over the world. The application of 3D printing technology is expanding in the fields of agricultural, healthcare, automotive, locomotive, and aviation. It is utilized for mass modification and fabrication of various open-source designs. An object can be …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 1, 2024 · pp. 24–30 Read article
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Reaching Conditions for Discrete-time Sliding Mode Control: Analysis and Design
Abstract: Sliding mode control (SMC) is a robust control method widely used in engineering due to its ability to handle uncertainties and disturbances effectively. In discrete-time sliding mode control (DSMC), system trajectories are constrained to sliding surfaces in the state space, leading to improved performance and stability. This paper provides an overview of DSMC, focusing on its applications, advantages, and limitations. It discusses the use of DSMC in various engineering fields …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 7–14 Read article
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Classification Of Music Genre Using Machine Learning
Abstract: Machine Learning is a way that helps the systems to automatically learn from experience and improve the performance and predict the outcome more accurately without any requirement of being explicitly programmed. Music is one of the most significant and influential part of people’s life. Also, music is known as a universal language as it has the power to unite people from different places and cultures. This helps in the recognition …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 11–16 Read article
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Review an analysis of Fluid Flow and its Dynamics Study
Abstract: Fluid dynamics is the study of liquid and gas flow, usually on and near solid surfaces. For instance, airflow over an aeroplane wing or over the surface of an automobile can be studied using fluid dynamics. Additionally, it can be utilised in ship design to speed up how quickly they move through water.To understand fluid dynamics, scientists employ both mathematical models and simulations as well as experiments. In a confined …
Published in Recent Trends in Fluid Mechanics · Vol. 9, Issue 2, 2022 · pp. 50–53 Read article