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695 articles for “Automated Model”
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ON THE DEVELOPMENT OF REAL TIME PARCEL TRACKING AND MONITORING SYSTEM
Abstract: ON THE DEVELOPMENT OF REAL TIME PARCEL TRACKING AND MONITORING SYSTEMThe ability to track packages in real time is essential for manufacturers and customers alike. Tracking abilities for customer products and goods began as a way to provide accurate and timely information regarding the expected time of delivery. This study focused on the computing model for real-time parcel tracking and monitoring. It was designed to solve the problem in the …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 2, 2018 · pp. 60–83 Read article
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Process Capability Optimization of Thermoplastic Polyurethane (TPU) Printed Parts in Fused Deposition Modeling Process
Abstract: Fused Deposition Modelling (FDM) 3D printing process requires precise printed dimensions with a special assessment of process parameters using Taguchi optimization methodology. The proposed research aims to determine the optimal parametric setting to maximize the process capability index of diametral deviation and roundness of product in 3D printing process of TPU (thermoplastic polyurethane). The input factors for printing TPU in this research include the extrusion temperature, cooling fan speed, infill …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1846–1864 Read article
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AI-Driven Dairy Ledger: Enhancing Efficiency with Machine Learning
Abstract: The dairy business nevertheless has ongoing difficulties with financial management, record-keeping, and operational effectiveness, which frequently lead to resource mismanagement, human mistakes, and revenue losses. These problems are most noticeable on small- to medium-sized farms where manual labor is the primary method. This study introduces an AI-driven Dairy Ledger, a complete machine learning-powered system designed to automate and optimize key dairy functions, such as tracking cow feed orders, managing milk …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 36–46 Read article
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Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges
Abstract: The incorporation of artificial intelligence (AI) into robotics has transformed the industry by greatly improving robots' capacity to carry out complex and autonomous functions in a wide range of sectors. This paper explores the evolution, applications, and challenges associated with AI-driven robotics. It examines key AI methodologies employed in robotics, including machine learning, natural language processing (NLP), computer vision, and planning/control algorithms, which enable robots to perceive, learn, and interact …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 31–43 Read article
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License Plate Detection using CNN
Abstract: Tag recognition is a picture preparing innovation used to distinguish vehicles by their tags. This advancement is used in various security and traffic applications. Deep learning employs complex mechanisms to extract features from samples This paper proposes a system trained using the MobileNetV2 convolutional neural network (CNN) model to detect the characters and digits from vehicle license plates. Our approach is highly influenced by the recent advancements made in the …
Published in Journal Of Network security · Vol. 9, Issue 2, 2021 · pp. 21–27 Read article
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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GSM Based OTP Security Locker Using Arduino
Abstract: This work presents a microcontroller-driven secure locker system that leverages GSM-based communication for dynamic user authentication. Unlike conventional locking mechanisms that depend on static credentials or physical keys, the proposed system utilizes a time-sensitive one-time password (OTP) transmitted to a pre- authorized mobile number. The authentication workflow is managed using an Arduino-based embedded platform integrated with a SIM A7670C GSM module. The system coordinates OTP generation, transmission, and validation in …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 8–15 Read article
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Digital Advertising System with GPS location geofence using IoT
Abstract: Now a days to improve any business, it needs to be marketing the business with different types. This work describes a one of the unique marketing strategy process where impact of digital technology. In this study, businesses can really benefit from Digital advertising such as search content marketing, content automation, e-commerce advertising, display advertising. This is cost effective and having a great commercial impact and many advantages on the business. …
Published in Current Trends in Signal Processing · Vol. 11, Issue 2, 2021 · pp. 28–33 Read article
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Computer Vision Controlled Robotic ARM
Abstract: By combining sophisticated robotics and visual awareness, computer vision operated robotic arms have revolutionized technology. These devices are having a profound effect on a number of industries, from manufacturing processes to healthcare. Computer vision controlled robotic arms are altering the game with their ability to see, comprehend, and interact with their surroundings. In this study we have tried to develop and implement software and hardwares to improve the freedom of …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 3, 2023 · pp. 1–6 Read article
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Handwritten English Alphabet Recognition Using Convolutional Neural Network
Abstract: This research paper presents an approach for English alphabet recognition using machine learning. The proposed system utilizes a convolutional neural network (CNN) to identify individual characters within an input image. The dataset used in this research consists of a large collection of handwritten alphabet images, sourced from Kaggle's A-Z Handwritten Alphabets dataset in CSV (comma-separated values) format, which were preprocessed and augmented to improve the model's accuracy. We trained and …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 17–25 Read article
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Aerodynamic Analysis of Formula 1 Race Car: A Case Study
Abstract: If you look at all the factors in Formula 1 that can be influenced with engineering, more than 70 percent is aerodynamics. Computational Fluid Dynamics plays an increasing role in the design process for the automotive industry, in particular for the prediction of aerodynamic characteristics. This Study is concerned with simulation of aerodynamic flow around the front part of a formula 1 racing car. The numerical simulation includes geometrical modelling, …
Published in Recent Trends in Fluid Mechanics · Vol. 2, Issue 3, 2015 · pp. 1–9 Read article
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A Study on Chatter Marks in Crankshaft Pin Grinding Process Using Taguchi Technique
Abstract: Crankshaft pin grinding is a vital machining process in automotive industry. It is a finishing operation to the crankshaft of the engine, which if neglected could lead to a significant cost to the manufacturer of warranty claims. The study aims at identifying significant process parameters that are influencing the chatter marks and also setting the process parameters of the machine to get a good quality product. Chatter marks are the …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 1, 2018 · pp. 1–5 Read article
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Integrated Plasma Gasification Technologies for Enhanced Energy Conversion and Environmental Sustainability: A Short Review
Abstract: Plasma Gasification emerged as a constructive tool for waste management and cleaner energy production. The versatility of the process makes it a promising solution of the global energy crises. In this paper, a brief coverup is done of integrated plasma models. Plasma technology is an emerging solution for recycling a wide range of waste making it a highly sustainable, efficient, and environment-friendly process. The integration of Plasma Gasification with complementary …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 67–75 Read article
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Automated Vessel Segmentation of Retinal Vessels using Hybrid Region Information
Abstract: AbstractRecent researches state that the categorization of retinal vessels into artery/vein (A/V) is a critical phase for automating the detection of vascular adjustments and for the calculation of function symptoms related to numerous systemic illnesses which includes diabetes, high blood pressure, and different cardiovascular situations. This paper affords an automatic method for A/V class, primarily based on the evaluation of a graph extracted from the retinal vasculature. The proposed method …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 28–36 Read article
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Optimizing Heart Disease Prediction: Comparative Analysis of Machine Learning Algorithm for Early Detection
Abstract: The expanding realm of data analysis holds considerable importance in healthcare, particularly in the medical sector where forecasting heart disease is considered a complex endeavor. Early prediction of serious health conditions can be the determining factor between survival and fatality, with heart disease being one such critical health issue. Over the past decade, the main reason for death has been heart disease. Heart disorders come in many different forms, and …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
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Comparison and Analysis of Facial Emotion Detection Using Various Deep Learning Neural Networks
Abstract: Facial emotion recognition employs Convolutional Neural Networks (CNNs), Residual Networks (ResNet), Long Short-Term Memory (LSTM) networks, and Deep Neural Networks (DNNs) to automatically identify various emotions, including disgust, anger, fear, happiness, sadness, surprise, and neutrality. This study utilizes transfer learning along with data preprocessing techniques such as rotation, flipping, brightness adjustment, and enhancement methods. Traditional machine learning models achieve an accuracy range of 45 to 50%. In contrast, our proposed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 37–42 Read article
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Thermal Management of Different Composites Materials Using a Convergent and Straight Vortex Tube
Abstract: The present study focuses on an in-depth and meticulous exploration into the intricate realm of thermal management in three distinct yet widely utilized composite materials—namely, Liquid Crystal Polymer (LCP) Composites, Glass Fiber Reinforced Polymers (GFRPs), and Aramid Fiber Composites (Kevlar). This investigation employs an innovative counter-flow vortex tube system, meticulously analyzing and comparing the thermal efficiency of these materials under different intake configurations. Specifically, two distinct geometrical intake designs—a straight …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 252–266 Read article
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Heater Automation Using LabVIEW
Abstract: Water heating system is an age-old tradition being commonly used from domestic sectors to production sectors; it is a need-based requirement to develop a time and effective water heating system for use in day-to-day life. Concerning lime lighting the deficiencies in general water heating systems and improved versions of sensor-operated systems, this model has been designed. The scope of the work is specifically concerning common household water heating systems operated …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 28–38 Read article
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Post-Treatment Methods in Additive Manufacturing: A Review of Mechanical, Thermal, Chemical, and Hybrid Approaches
Abstract: Additive manufacturing, particularly Fused Deposition Modeling (FDM), has become a cornerstone of rapid prototyping and functional part production due to its accessibility and material versatility. However, the inherent layer-by-layer nature of FDM introduces surface roughness, reduced mechanical strength, and anisotropic behavior, which limit its industrial applications. This literature review investigates the impact of chemical post-processing treatments such as solvent vapor smoothing, immersion, and hybrid chemical-thermal methods on the surface quality …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 3, 2025 · pp. 25–34 Read article