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526 articles for “modeling automation”
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Traffic Detection Algorithms Analysis using ML
Abstract: It is difficult to watch traffic on crowded roads. Traffic monitoring procedures are time-consuming, expensive, labor-intensive, and require human operators. The limited accessibility hindered the storing and processing of large-scale video streams. Nonetheless, it is now possible to employe video feeds from traffic monitoring systems for number plate recognition, object tracking, traffic behavior analysis, and surveillance. Static image recognition and vehicle identification in a traffic surveillance system are very useful …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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High-Velocity Impact Response of CFRP and Hybrid Composites: A Comprehensive Review on Ballistic Resistance and Damage Mechanisms
Abstract: This review consolidates recent advances in the study of high-velocity impact response of carbon fiber reinforced polymer and hybrid composites. Carbon fiber reinforced polymer composites are widely applied in aerospace, automotive, and defense due to their high strength-to-weight ratio, stiffness, and durability. However, their susceptibility to impact damage such as delamination, matrix cracking, and fiber breakage limits their performance under dynamic loading. To overcome these challenges, researchers have explored reinforcement …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 100–122 Read article
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Approximation Based Optimal Control Design Strategy for the Magnetic Levitation System
Abstract: Abstract: This paper presents the stabilization and trajectory tracking of magnetic levitation system using optimal control technique. The magnetic levitation (Maglev) system is exceedingly unstable and nonlinear system. The magnetic levitation has been a desirous area of exploration for utilization, especially in the scope of automotive where low losses due to friction and low energy consumption are an important idea. The (Maglev) system has become a large effective technology in …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 1, 2019 · pp. 8–14 Read article
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AI Activity to Enhance Productivity, Creativity, and Sustainable Development of AI in Healthcare
Abstract: The application of artificial intelligence (AI) in healthcare is revolutionizing the industry by fostering both productivity and creative approaches to patient care and medical research. This study explores how artificial intelligence (AI) is reshaping healthcare by streamlining workflows, improving diagnostic precision, and supporting personalized treatment plans. AI-powered technologies are reshaping the way medical professionals approach patient care, providing tools that not only automate routine administrative and clinical tasks but also …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 21–29 Read article
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Study of Load Frequency Control
Abstract: This paper is an attempt to study the control of active and reactive power in order to keep the system in the steady state. In addition, simple models of the essential components used in control system are analyzed. The objective of the control strategy is to generate and deliver power in an interconnected system as economically and reliably as possible while marinating the voltage and frequency within permissible limits. These …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 73–79 Read article
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Machine Learning Approaches Towards Resume Classification
Abstract: Finding the right person for an open position can be an unnerving task, especially when there are many applicants, and if the recruiter or the Human Resources department must sort and further categorize all those resumes then it will be a labor-intensive, time-consuming, and tiresome task. Additionally, human assessment of resumes may be biased and prone to mistakes. Manually screening the proper candidate's resume from the pool is not practicable; …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Flexural Response and Numerical simulation of Unidirectional Areca–Pineapple Leaf Fiber Hybrid Epoxy Composites
Abstract: The increasing demand for lightweight and environmentally sustainable materials has accelerated the development of natural fiber-reinforced polymer composites for engineering applications. In the present study, unidirectional areca and pineapple leaf fiber (PALF) reinforced hybrid epoxy composites were fabricated using a simple hand lay-up process. Before fabrication, the fibers were chemically treated to improve fiber–matrix adhesion and enhance the mechanical performance of the laminates. Four different stacking sequences (A8, A7P1, A6P2, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Neural Network Based Fractional Order PID Controller for Harmonic Mitigation of Induction Motor Drive System
Abstract: Torque produced in IM (induction Motor) is collected fundamental torque, however, due to core saturation, air gap irregularity, and winding distribution; stator and rotor slotting harmonics torque are produced. This reduces the quality of the power system, life span, and performance of the motor and the controller device. In this paper, a neural network, based fractional order proportional integral derivative (NNFOPID) controller is designed to compensate the harmonics of the …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 1, 2023 · pp. 23–41 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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The Overview of Software Testing: Types, Methods, and Levels
Abstract: Software development life cycle (SDLC) is a software development model consisting of different phases i.e., analysis, design, coding, testing, deployment, and maintenance. The analysis phase is the primary phase in which all the requirements are gathered and analysed which is further used for designing and coding. The next phase is testing. Software testing is a process of evaluating software so as to check whether it satisfies the requirements of the …
Published in Journal of Software Engineering Tools & Technology Trends Read article
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Fracture Analysis of Functionally Graded Material (FGM) Plates Using Extended Finite Element Method: A Review.
Abstract: Functionally Graded Materials (FGMs), have drawn a lot of interest in various engineering applications due to their superior mechanical properties and ability to withstand extreme conditions. Fracture analysis in FGMs focuses on understanding how cracks initiate and propagate within these complex materials. The stress distribution becomes irregular due to spatial property variations which produces different crack paths than what occurs in homogeneous materials. The examination of FGM plates under fracture …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 9–15 Read article
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Sign Talk for Blind and Deaf Translating Hand Gestures into Audible and Textual Communication
Abstract: Sign language serves as a vital communication method for individuals who are deaf or have hearing impairments. It relies on hand gestures, facial cues, and body language to convey messages and express meaning. However, many people who do not know sign language find it hard to communicate with sign language users. The latest progress in artificial intelligence and computing has enabled the creation of systems that can automatically recognize sign …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 20–26 Read article
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EXPERIMENTAL INVESTIGATION OF WELDING PROCESS PARAMETERS ON MECHANICAL PROPERTIES FOR TIG WELDED AUSTENITIC STAINLESS STELL 304 JOINTS
Abstract: Minimally invasive surgeries are the most elusive, yet highly demanded subset of surgeries which requires precise knowledge of the pertinent patient. Compared to conventional surgeries, minimally invasive surgeries are characterized by less pain, low risk of infection, lesser scarring, etc. In the status quo, doctors use intuition through experience to determine the parameters for surgery such as the force required to cut, size of cut, depth of cut, etc. With …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 2, 2018 · pp. 6–9 Read article
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Comparison of Stiffness of Skin - Simulations vs Experimental
Abstract: Minimally invasive surgeries are the most elusive, yet highly demanded subset of surgeries which requires precise knowledge of the pertinent patient. Compared to conventional surgeries, minimally invasive surgeries are characterized by less pain, low risk of infection, lesser scarring, etc. In the status quo, doctors use intuition through experience to determine the parameters for surgery such as the force required to cut, size of cut, depth of cut, etc. With …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 1–7 Read article
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Partial View-Based Object Recognition using Leave-one-out Approach with Classification and Regression Trees
Abstract: Object recognition from image is an intriguing task in computer vision. It is simple for human being but complex for machine because of complex background, lightening, different viewing angle, size etc. So, a typically automatic and robust system is required to recognize object. In this paper, a content-based object recognition system using only one view of the object: top view, front view, back view, side view, and also using combination …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 3, 2018 · pp. 9–16 Read article
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Predicting Eye Blindness by Detecting Exudates in the Retina of Human Eye
Abstract: Diabetic retinopathy is a condition where a person suffering from diabetes starts to loosen his vision slowly as the severity of the disease increases gradually. We can diagnose this condition by the fundus image of the retina of the human eye; although it is very complicated for doctors to predict the conditions just by seeing the fundus images. By detecting diabetic retinopathy at the earliest, we can protect patients from …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 17–23 Read article
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Genetic Algorithm Based Optimal Volt/Var Control of Distribution Systems with Distributed Generation
Abstract: In this paper, new voltage regulation algorithms have been proposed for Distribution System (DS) equippedwith Distributed Generation (DG). Due to the ever increasing power demand, the power system sector isfacing too many challenges to fulfill that demand and also to supply power with proper acceptable quality.Distributed generation is one of the most efficient solutions to meet the increasing demand. When integratedwith the grid, it has its own technical as well …
Published in Journal of Power Electronics and Power Systems · Vol. 1, Issue 1-2-3, 2011 · pp. 28–46 Read article
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LTE-WI-FI Aggregation in SDN Using Direct Concurrent Bandwidth Aggregation Model
Abstract: In recent years, networks are loaded with heavy traffics due to increased online demands with diverse levels of QoSs (quality of services) required by customers resulting in complex challenges for network service operators. Significant increases in mobile data traffics using WiFi technologies use a concept called WiFi offloading which render only fifty percent of the traffic. These help in reducing network loads of cellular networks with optimal choices. Therefore, the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 18–24 Read article