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784 articles for “model-based approach”
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Performance Analysis of AES Encryption Using LFSR-Based Key Expansion in VLSI
Abstract: Secure data transmission has become increasingly important with the rapid growth of digital communication and embedded systems. Protecting sensitive information from unauthorized access requires reliable cryptographic solutions. Among the available techniques, the Advanced Encryption Standard (AES) is widely recognized for its strong security and efficient implementation in both hardware and software environments. In this work, the design and performance evaluation of an AES-based crypto processor with LFSR-driven key expansion is …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 23–31 Read article
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Survey on Parts of Speech Tagging for Gujarati
Abstract: The study describes the survey on Part of Speech tagging using different approaches for various Indian languages. Indian languages have rich morphological effect, so it may create many problems while tagging the sentences. Researchers have done work on POS tagging for various languages like Hindi, Marathi, Panjabi, English etc. With over 60 million users worldwide, Gujarati is an Indian language that currently has numerous initiatives in place for the development …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 3, 2022 · pp. 7–17 Read article
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Computational Approaches to Understanding Cellular Signaling Pathways
Abstract: Cellular signaling pathways are fundamental in regulating vital processes, such as cell growth, differentiation, and apoptosis. The intricate and interconnected nature of these signaling networks requires sophisticated methods for their analysis. Computational approaches, including mathematical modeling, network analysis, and machine learning, have revolutionized the way researchers analyze and simulate cellular signaling. This article provides a comprehensive overview of computational strategies employed to model signaling pathways, with a focus on integrating …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article
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Recent Advances in Polymer-Based Thermal Management Technologies for Hybrid PV/T Solar Desalination Systems: A Critical Review
Abstract: Hybrid photovoltaic-thermal (PV/T) desalination systems are being developed as a new approach that not only generates clean water but also harnesses solar energy. While tremendous progress has been made in terms of design, the thermal management of PV/T desalination systems still poses several problems, such as heat generation, temperature non-uniformity, and inadequate thermal energy storage, all of which adversely affect the efficiency of electricity generation and clean water production. In …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 921–931 Read article
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Predictive model of wind turbine rotor-blade deflection
Abstract: A simulation process has been developed to predict wind turbine rotor-blade deflection caused by gravity effects. The model is based on the rotor-blade segmentation in finite elements, each one considered as an independent structure. The simulation has been extended to n-elements to make a more precise approach to the real performance. The range of deformation has been determined for a wind turbine rotor-blade analysing the effects of forces that creates …
Published in Journal of Offshore Structure and Technology · Vol. 8, Issue 2, 2021 · pp. 49–63 Read article
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Fraud Detection in Government Procurement Using Machine Learning
Abstract: Fraud represents a significant challenge in the realm of procurement, with estimates indicating that between 12 and 30% of global procurement budgets are lost to fraudulent activities (OECD, 2023). The pervasive nature of procurement fraud, which may encompass a range of deceptive practices such as bid rigging, invoice fraud, and procurement kickbacks, not only undermines the integrity of financial operations but also results in substantial losses for organizations. These losses …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 19–34 Read article
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NanoBioAI: Utilizing Python to Investigate Magnetocaloric Effects in Magnetotactic Bacteria and Optimized Conditions for Thermotherapy
Abstract: The study presented in the research work represents a multidisciplinary approach, integrating biology, nanotechnology, and artificial intelligence. It specifically highlights the use of python computational power to investigate magnetocaloric effect (MCE) in magnetotactic bacteria (MTB), a phenomenon yet to be fully understood, characterized by reversible heating and cooling effects induced by magnetic fields. MTB are unique in that they contain embedded magnetic nanoparticles ranging from 10–100 nm in diameters. These …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 122–131 Read article
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Fast-Charging Techniques for Electric Vehicle Batteries
Abstract: EVs (Electric Vehicles) are becoming the popular mode of green transport, boosted by their efficiency, lower emission and technological vibrancy. But slow battery charging still poses one of the primary stumbling blocks to EV deployment. Conventional charging methods that take hours necessitate inconvenience and range- anxiety. To tackle this, scientists and companies are in a race to develop fast-changing technologies that can charge batteries within minutes without compromising safety. These …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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An Approach of Likelihood Ratio Score Fusion for Appearance and Shape based Face Recognition
Abstract: AbstractThis paper deals with an approach of likelihood ratio based score fusion technique where appearance and shape based facial features have been used to enhance the efficiency of existing face recognition system. Active Shape Model (ASM) has been used to extract the appearance and shape based facial features. Two different types of features have been used in this work in such a way that when the appearance based feature contains …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 3, 2013 · pp. 1–8 Read article
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Infrared Radiation: A Non-Invasive Approach to Cholesterol Measurement
Abstract: Cholesterol levels and Diabetes have become prevalent worldwide. People who are physically disabled or unresponsive need to have their glucose and cholesterol levels constantly checked because it is hard to get accurate readings through invasive procedures or blood samples. Based on the proposed model, Hyperglycemia and Cholesterol amounts might be found without touching or taking blood specimens. The Arduino UNO and basic infrared sensors are used to make this happen. …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 28–34 Read article
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Application-Driven Rule-Based Framework for Lubrication Failure Modes in Industrial Systems
Abstract: Modern lubricants increasingly rely on polymer-based composites, integrating synthetic base oils, polymer thickeners and solid additives like MoS₂ and PTFE for high-performance applications. These formulations not only enhance thermal and mechanical stability but also enable low-friction operation across diverse industrial conditions. Lubrication-related failures represent a critical cause of unplanned downtime and reduced reliability in industrial machinery. This paper presents an application-driven, rule-based framework designed to assess and mitigate lubrication failure …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 522–531 Read article
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An Augmented Design Approach of PID Controller using FPGA
Abstract: Proportional Integral Derivative (PID) controller is the most preferable controller in industries that does not require precise analytical model of the system to be controlled. Implementation of PID controllers has gone through several stages of evolution from the early mechanical and pneumatic designs to the microprocessor based systems. Recently “Field Programmable Gate Array” has become an alternative solution for the realization of Digital PID controllers. To overcome the hardware complexity …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 4, Issue 1, 2016 · pp. 1–6 Read article
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A Robust Face Recognition Model based on Convolutional Neural Networks
Abstract: From the past several years, face recognition is one of the challenging issues in computer vision, due to three main technical problems in it. 1) Expression problem: in which same person shows more than one expression. 2) Illumination problem: in which face images of the person are strongly corrupted by lightning and 3) poses problem: in which large portion of the face becomes invisible due to occlusion. To this end …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 1–11 Read article
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FoodieHUB: Food Recipe Suggestion Using AI-ML On Web
Abstract: Finding a delicious recipe to cook with limited ingredients at home can be a challenging task. Many individuals struggle to prepare meals using only the ingredients they have on hand, creating uncertainty and limiting options. This project aims to develop a recipe recommendation system that utilizes machine learning algorithms to suggest recipes based on available ingredients, dietary preferences, cuisine types, cooking time, and user ratings. The project utilizes a Gradient …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Optimizing Green Fodder Availability: Strategic Roadmaps for Sustainable Dairy Development in the Tropics
Abstract: The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming.The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming. Green fodder serves as a vital source of nutrition for dairy cows, directly influencing milk yield, animal health, and overall farm profitability. However, challenges such as limited …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 11–30 Read article
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A Review on Two-Wheeled Self-Balancing Robot Using Spartan-3E FPGA for Sensor Fusion and Real-Time Motor Control
Abstract: Two-wheeled self-balancing robots (TWSBR) are a popular application of embedded control and robotics because they operate on the inverted pendulum concept, which is naturally unstable. The main objective of such robots is to continuously maintain balance by estimating the tilt angle and applying corrective motor action in real time. In most practical systems, low-cost inertial sensors such as accelerometers and gyroscopes are used for tilt measurement. However, accelerometer readings are …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 17–27 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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Identifying Fraudulent Data and Fake Account Profiles Analysis in Examination for Providing Security in Online Dating Site
Abstract: In this research, we are focused on a new yet mysterious method of using malicious apps. You want to be software for socialization. Their main goal is to allow users to buy premium / VIP packages and Start talking to (probably false) other app accounts. False dating apps are called such systems. A comprehensive analysis to explain the whole scam dating apps ecosystem. In specific, we suggested a three-stage approach …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 1, 2020 · pp. 12–17 Read article
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Deep Learning Based Plant Disease Detection
Abstract: Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis. Using a public dataset of images of diseased and healthy plant leaves collected under controlled …
Published in Journal Of Network security · Vol. 8, Issue 2, 2020 · pp. 33–42 Read article
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Convolutional Neural Network Based Ripeness Detection of Fruits
Abstract: The accurate and efficient assessment of fruit ripeness plays a crucial role in ensuring the quality of fruits and optimizing supply chain management. This paper presents a novel approach for the automated detection of apple and banana ripeness using Convolutional Neural Networks (CNNs). The suggested method supports the capability of CNNs to learn hierarchical features from images, variations in color and shape associated with different ripeness stages. The online dataset …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 30–36 Read article