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784 articles for “model-based approach”
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Design of Secure Biometric-based Access Mechanism for Cloud Services
Abstract: In our data-driven society, the demand for remote information storage and computation services is increasing exponentially, as is the need for secure access to such information and services. during this project, we have a tendency to style a replacement biometric-based authentication protocol to produce secure access to an overseas (cloud) server. Within the planned approach, we have a tendency to think about biometric information of a user as a secret …
Published in Journal of Experimental & Applied Mechanics · Vol. 13, Issue 4, 2022 · pp. 28–34 Read article
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AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article
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An Efficient General Distributed Parameter Approach to the Line Transient Analysis using Interpolating Function
Abstract: This paper presents an efficient technique for the time-domain determination of the electromagnetic transients along general transmission lines. The lines can be uniform or nonuniform. The technique is also applicable to line models incorporating dependent sources, such as the distributed voltage-dependent current sources usually adopted for simulating the line corona. The suggested approach is based on the concept of the interpolating functions for the numerical solution of just two simultaneous …
Published in Trends in Electrical Engineering · Vol. 3, Issue 3, 2013 · pp. 1–21 Read article
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A Comparative Review of Parallel Computing Techniques for High-Performance Computing
Abstract: High-Performance Computing (HPC) has become an essential technology for solving computationally intensive problems in scientific computing, engineering, artificial intelligence, weather forecasting, computational biology, financial modelling, and large-scale data analytics. The increasing complexity and heterogeneity of modern HPC systems have created a strong requirement for efficient parallel computing techniques and portable programming models. Several programming approaches, including Message Passing Interface (MPI), Open Multi-Processing (OpenMP), Compute Unified Device Architecture (CUDA), OpenACC, SYCL, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 16–26 Read article
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Design of Secure Biometric-Based Access Mechanism for Cloud Services
Abstract: In our data-driven society, the demand for remote information storage and computation services is increasing exponentially, as is the need for secure access to such information and services. during this project, we have a tendency to style a replacement biometric-based authentication protocol to produce secure access to an overseas (cloud) server. Within the planned approach, we have a tendency to think about biometric information of a user as a secret …
Published in Journal of Experimental & Applied Mechanics · Vol. 13, Issue 1, 2022 · pp. 28–34 Read article
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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article
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Review of Simulation Techniques for Microscopic Mobility of Pedestrian Movement
Abstract: Simulation techniques are very useful for developing models or systems over time torepresent the real-world scenarios. The model represents the key characteristics orbehaviors/functions of the selected physical or abstract system or process. Simulationtechniques are useful when the real system cannot be engaged, because of inaccessibility,or dangerous or is unacceptable to engage or does not exist. Microscopic characteristicsof pedestrian traffic consider speeds, walking directions, distances between pedestrians,relative positions, passing behavior and …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 27–45 Read article
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A Machine Vision Approach for Geofence-based Adaptive Friction Modulation in Connected Semi-autonomous Vehicles
Abstract: Safeguarding vulnerable road user (VRU) safety necessitates fail-safes preventing collisions from semi-autonomous vehicles. Geofencing allows service-zones definition but introduces friction discouraging adoption. This paper details an onboard vision model detecting VRUs by helmet status, triggering reactionary neuro-modulations of vehicle maneuverability. The architecture encompasses a YOLOv3 detector determining pedestrian/bicyclist crossing intent through path extrapolations, calibrated using lidar-fusion correcting distance estimates. The subsequent velocity governor adapts acceleration profiles based on predicted exposure …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 22–29 Read article
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Ligand Based Drug Virtual Screening in Computer Aided Drug Design: A Review
Abstract: Computer-Aided Drug Design (CADD) has revolutionized the drug discovery process by providing efficient and cost-effective methods for identifying potential drug candidates. Within CADD, ligandbased virtual screening techniques play a pivotal role in the early stages of drug discovery. This review provides a comprehensive overview of ligand-based drug virtual screening, focusing on its principles, applications, challenges, and future directions. Fundamentals of ligand-based virtual screening, including pharmacophore-based methods, similarity searching, and machine …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Prediction of Air Quality Index (AQI)
Abstract: AbstractGrowing economy of a country has its pros and cons. Swift development of industries on an extensive scale has led to immense growth in air pollution. It happens to be elementary root of maladies and early deaths around the world. The UN responsible agency for international public health has estimated that outside atmosphere consisting of air pollution takes about three million people’s lives every year. Therefore, contamination amount in air …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 2, 2020 · pp. 28–34 Read article
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Parametric Quantile Regression using Quantile-based Asymmetric Family of the Distributions
Abstract: Quantile regression is used for finding the effects of covariates on different quantiles of the response variable. The contribution of this article is to develop a theory of quantile regression using the Quantile-based asymmetric (QBA) family (similar to GAMLSS for mean regression) and then apply the proposed approach for analyzing COVID-19 data. More precisely, we estimate regression quantiles and investigate the asymptotic estimators under a generalized linear modeling framework, but …
Published in Research & Reviews : Journal of Statistics · Vol. 11, Issue 3, 2022 · pp. 54–66 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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An Approach for Similarity Matching and Comparison in Content Based Image Retrieval System
Abstract: Today, in the age of images and digitization relevant retrieval is quite a topic of research. With every new day thousands of pictures are getting added into the database making it a high dimensional data set. Therefore, from a high dimensional dataset to get a set of relevant images is quite a cumbersome task. In this paper, experiment has been performed on the trademark images. Trademark is a very important …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 57–63 Read article
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Strategic Solutions: How Mathematics Reshapes Industrial Landscapes
Abstract: One of the earliest and most fundamental fields of the physical sciences is mathematics. It has a significant impact on industrial enterprises' bottom lines and enhances their performance in the current data-driven market. One subfield of applied mathematics is industrial mathematics. It concentrates on issues that arise in the industry and seeks answers that are pertinent to the sector. The use of mathematical models and techniques to diverse industry difficulties …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 1, 2024 · pp. 16–23 Read article
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Advancements in Agricultural Forecasting: A Review of Machine Learning Based Crop Yield Prediction
Abstract: Agricultural productivity plays a critical role in global food security, and accurate crop yield prediction is essential for optimizing resource allocation and decision-making in farming. The rapid advancements in Machine Learning (ML) and Deep Learning(DL)have transformed agricultural forecasting, enabling data-driven approaches for crop prediction. This review paper provides a comprehensive analysis of various ML and DL techniques applied in crop yield forecast, highlighting the ineffectiveness, challenges, and future directions. The …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 32–38 Read article
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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Mathematical Modelling of Semiconductor Device Physics: An Analytical Approach
Abstract: Semiconductor device physics forms the foundation of modern electronic and optoelectronic technologies. Mathematical modelling provides a rigorous framework for understanding, predicting, and optimizing the behavior of semiconductor devices by linking physical principles with device-level performance. This work presents an analytical approach to the mathematical modelling of semiconductor devices, emphasizing the derivation and interpretation of governing equations that describe charge transport and electrostatic behavior. The model is based on fundamental physical …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 36–42 Read article
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A Study to Evaluate the Impact of Nurse-led Intervention on Competency Level Regarding Care of Patients on Mechanical Ventilators Among ICU Nurses Working in Selected ICUs at Pt. Bd Sharma PGIMS Rohtak
Abstract: Introduction: The nurse caring for mechanically ventilated patients must be skilled and possess a deep understanding, along with specialized knowledge, of mechanical ventilators (MV). This study is intended to evaluate the impact of nurse-led intervention on competency levels regarding the care of patients on MV among ICU nurses. Objective: To assess the pre- and post-test knowledge, practices, and attitudes of ICU nurses, evaluate the effectiveness of nurse-led interventions on the …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 59–94 Read article
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
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Interference Effect between Prismatic Buildings Subjected to Microburst Wind
Abstract: Severe thunderstorms are important weather phenomena which impact on various facets of national activity like civil and defense operation, particularly aviation, space vehicle launching and agriculture in addition to its damage potential to life and properties. One of the most important events in the thunderstorms is the “Downburst”. Downbursts occur when a column of descending air reaches the ground and bursts out violently. This downward motion abruptly changes direction and …
Published in Journal of Industrial Safety Engineering · Vol. 1, Issue 1, 2014 · pp. 23–31 Read article