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784 articles for “model-based approach”
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Vehicle Insurance Fraud Detection Using Supervised Neural Network Model
Abstract: Vehicle insurance fraud is a serious problem that causes huge financial losses to insurance companies. In recent years, developing fraud detection models using machine-learning techniques has been of great interest. This study proposes a novel approach for vehicle insurance fraud detection using Supervised Neural network model on the Kaggle Vehicle Insurance Fraud Detection dataset. The initial step in this study involves performing data pre-processing and feature extraction on the dataset, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 32–39 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Productivity Measurement of Academic Institutes: An AHP Approach
Abstract: AbstractIn the long run, an organization will only perform excellently when it succeeds in balancing all the needs of its stakeholders. Long-term success requires customer satisfaction and loyalty, which in turn is based on fulfilling the needs of the organization through an appropriate performance measurement model. Therefore, there is an ardent need to evaluate the performance of the management institutes in a state like Orissa, where burgeon of technical/management institutes …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 34–37 Read article
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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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Application-based Effective Curriculum Design and Development for Employability
Abstract: Employability is becoming a major objective of education today. Every institution is striving to make their students employable. This paper mainly focuses on the theme of outcome-based education’s “effective curriculum design and development” and its present significance. We propose to have a fine blend of Fundamentals and factors in the curriculum design. Considering these factors of the novel approach, a model employability curriculum has been proposed and compared. A case …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 3, 2024 · pp. 11–17 Read article
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Microalgae Based Wastewater Treatment: A Sustainable Approach
Abstract: The global water crisis and strict environmental policies demand advanced wastewater treatment techniques that combine pollution control with resource recovery. Microalgae-based wastewater treatment has emerged as a sustainable biotechnological solution that aligns with circular economy principles by simultaneously eliminating contaminants and producing valuable biomass that can be converted into useful products. This review paper provides an in- depth assessment of the application of microalgae in treating municipal, industrial, and agricultural …
Published in International Journal of Sustainability · Vol. 3, Issue 2, 2026 · pp. 1–15 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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In Silico Stability Analysis and Phosphorylation Induced Structural Simulation of Alpha-synuclein in Parkinson’s disease
Abstract: Alpha-synuclein (α-syn) is the major component of pathologic inclusions that characterizes neurodegenerative disorders such as Parkinson’s disease (PD), dementia with Lewy body disease, and multiple system atrophy. Mutations and phosphorylation of α-syn causes familial PD. Phosphorylation of α-syn at TYR125 and SER129 plays an important role in PD and enhances its partial digestion by calpains leading to its aggregation; however, the exact mechanism is unknown. The present study uses in …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 1, 2015 · pp. 15–21 Read article
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Predictive Modeling of Polymer Composites for Medical Implants Using Artificial Intelligence Techniques
Abstract: The use of polymers in biomaterials was now key to designing the next generation of medical implants, which need to be strong and also compatible with living tissue. Tests for biocompatibility, such as those done in the laboratory and by doing experiments on animals, require much time and many resources, so the need for computer-based approaches becomes clear. An artificial intelligence approach was provided in this study to determine how …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 665–692 Read article
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Intelligent Power Quality Enhancement Strategies for PV-Integrated Smart Distribution Networks: A State-of-the-Art Review
Abstract: The rapid integration of photovoltaic (PV) systems into modern power distribution networks has introduced significant challenges related to power quality. Issues such as voltage fluctuations, harmonic distortion, flicker, and reactive power imbalance arise due to the intermittent and nonlinear nature of solar energy generation. This paper presents a concise literature review of various power quality enhancement techniques employed in PV-integrated networks. Key approaches include the use of active power filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 30–53 Read article
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Design of Beam using Artificial Neural Network based Approach
Abstract: Recent developments in artificial neural network (ANN) have opened up new possibilities in the field of structural engineering. This paper demonstrates the applicability of ANN for the design of beams subjected to moment and shear. An attempt has been made to capture the mapping between the design variables using ANN. There is no direct method for design of beams. A feed forward network and back propagation training algorithm has been …
Published in Recent Trends in Civil Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 1–6 Read article
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Research Frame work of Missing Data Analysis using Mathematical Models
Abstract: AbstractThis article deals with providing an overall framework of missing data analysis using mathematical models. Mathematical models serves at large for missing data imputation. Several algorithms in machine learning techniques like Mean, Median, Standard Deviation, Regression and Naïve Bayesian classifier use Mathematical models for analysis. The performance of above mathematical models has been compared by using correlation statistics analysis gives the imputed values are positively related or negatively related or …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 7, Issue 3, 2020 · pp. 36–44 Read article
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AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
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Stacked Generalization-Based Deep Learning Approach for Pneumonia Detection
Abstract: The proposed work focuses on a stacked generalization-based approach for diagnosing pneumonia from chest X-ray images. It utilizes regularization, early stopping, and data augmentation to deal with overfitting. It uses safe level SMOTE to deal with class imbalance and attention-based feature fusion to adaptively weigh features based on their importance. It uses two publicly available datasets (RSNA and Kermany) with ground truth provided by expert radiologists. The proposed work used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 20–31 Read article
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Pneumonia Detection and Classification Using Deep Learning
Abstract: Pneumonia, an infectious lung disease primarily caused by bacteria, often exacerbated by environmental factors, leads to the accumulation of pus in the lung’s alveoli. Accurate diagnosis through chest X-rays, ultrasounds, or lung biopsies is crucial to avoid misdiagnosis and ensure proper treatment, crucial for patients’ quality of life. Diagnostic capacities have been greatly improved by deep learning advances, especially with convolutional neural networks (CNNs). This research presents a robust CNN-based …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 9–19 Read article
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Control Strategy for Wind Turbine Operation under Wind Variations
Abstract: Wind energy is found to be viable energy source out of all nonconventional energy resources. Wind turbine, a major component of wind energy conversion system, is used to capture the kinetic energy associated with the wind for driving the generator. Output of wind turbines varies in accordance with the wind variations. Therefore, in order to control the power output wind turbine employed needs some control during such variations. As observed …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 7, Issue 2, 2016 · pp. 45–55 Read article
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Selection of Cluster Head in Wireless Sensor Network towards Extending Network Life Time
Abstract: Reduced energy consumption and extended lifetime are basic requirements of Wireless Sensor Network (WSN) with distributed nature and dynamic topological changes. The motes are arranged in clusters and only one mote is chosen as cluster head to synchronize and data routing. The proposed work introduces an innovative approach of choosing cluster head in artificially intelligent wireless sensor network. In the proposed work, the residual energy consumption plays the major role …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 1–10 Read article
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IoT Enabled Production Scheduling
Abstract: In the world of high competition between various firms; it is important that firms plan their production in advance. This will help them maximize the use of available resource and facilities. Production scheduling discusses the process of assigning an order to machines considering the total time available, required time, type of order and to arrange these orders in such way that machine idle time is minimized. By legitimate planning, firms …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 16–23 Read article
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State Predominant Concept of PSS Design
Abstract: This paper presents the design of Power System Stabilizer (PSS) based on state predominant concept. An approach based on state predominant PSS with LQR for low frequency oscillation damping, Pole Placement and fuzzy control has been presented. The concept has been tested for both SMIF and multi machine system. The mathematical model of multimachine has been derived and the system has been simulated for various operating point changes, the results …
Published in Trends in Electrical Engineering · Vol. 2, Issue 1-2-3, 2012 · pp. 45–56 Read article
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Navigating the Dual Edge: A Comprehensive Technical Survey of Security, Privacy, and Countermeasures in the Era of Artificial Intelligence
Abstract: Artificial intelligence (AI) is seamlessly woven into vital sectors, such as self-driving cars, high-speed trading systems, and defense strategies; it has triggered a counterintuitive development in advanced cyberattacks. This survey paper attempts to perform an in-depth technical analysis of the “AI attack surface.” There are threats across three main vectors. Data integrity attacks focus specifically on examining “clean-label” poisoning and backdoor injection. Model confidentiality breaches discuss the mathematics behind model …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article