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44 articles for “gauge”
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Botnet Beacon: Unveiling Covert Networks with Advanced AI Detection Strategies
Abstract: Securing information technology systems is paramount in today's interconnected world, where the reliability and security of networks and applications are of utmost importance. In this context, the development of a Botnet Detection System (BDS) that harnesses the power of AI classification algorithms becomes a critical endeavor. The primary objective of this work is to construct a comprehensive framework for a BDS that can efficiently gather network data and subject it …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 26–32 Read article
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Automatic Water Irrigation System
Abstract: India's economy has long been rooted in agriculture, with the majority of its population relying on it for their livelihood. However, challenges such as erratic rainfall in dry regions pose significant obstacles to effective irrigation. To address this, there is a growing need for automated irrigation systems that can remotely manage water distribution for optimal crop yield and farmer safety. The increasing costs of energy and dwindling water supplies underscore …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 21–25 Read article
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Maintain Attendance Using Image Processing Technique
Abstract: Attendance tracking stands as a pivotal pillar in organizational management, bearing significant implications for operational efficiency, resource allocation, and fostering accountability. Traditional methodologies for attendance maintenance frequently exhibit deficiencies in terms of precision, security, and scalability, thus necessitating the exploration of avant-garde solutions. This research endeavors to introduce a pioneering approach to attendance upkeep, harnessing the prowess of image processing techniques synergized with artificial intelligence (AI) algorithms to surmount prevailing …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 29–34 Read article
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AI-News 4.0: Most Suitable LLM for UPSC Aspirants
Abstract: In recent years, the domain of interactive artificial intelligence (AI) has experienced a significant surge with large language models (LLMs) at the forefront of this evolution. AI systems, including those based on the GPT-3.5 framework, have been engineered to address various tasks such as responding to intricate inquiries, participating in conversations, and executing sophisticated natural language processing (NLP) operations. A prominent LLM, known for its adaptability, prompts an essential inquiry: …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 47–53 Read article
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The Relevance of Green University Concept on Students’ Enrollment Decision for Higher Education: The Role of Circular and Green Polymer Science
Abstract: Students today increasingly evaluate the commitment of higher education institutions to sustainability and environmental stewardship when making enrollment decisions. As prospective students research colleges and universities, they meticulously assess each institution's environmental policies, initiatives, and programs. This focus on sustainability reflects a broader trend of rising environmental awareness among young people, who often prioritize their values in their educational choices. The present study uniquely examines how the concept of a …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 47–53 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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Effect of Malaria Endemic on Socio-Economic Activities in South-East Nigeria: A Study from 2012 to 2023
Abstract: The research investigated the effects of malaria on socio-economic activities in South-East Nigeria between 2012 and 2023, emphasizing the effectiveness of different malaria management strategies. The analysis utilized both primary and secondary data, employing frequency tables and a five-point Likert scale to gauge respondents' levels of agreement. Furthermore, multiple regression models were utilized to explore the relationships among the variables.. Findings indicated that while diverse malaria interventions had a positive …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 Read article
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Evaluation of Impact Strength and Hardness for Polymer Matrix Composites with Steel, Carbon and Glass Reinforcements for Automotive Applications
Abstract: Polymer matrix composites (PMCs) play a crucial role in a wide range of engineering submissions, owing to their impressive strength-to-weight ratio and customizable mechanical properties. This research focuses on examining how PMCs, enhanced with different materials, specifically carbon fibres, glass fibres, and steel fibres, behave when subjected to dynamic and static loading conditions. The study involves creating three distinct types of PMC specimens, each reinforced with one of the mentioned …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 738–748 Read article
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Analysis of Steel Chip Fiber Reinforced Composite Dual Pile Under Lateral Load Conditions on Sloping Terrain
Abstract: Pile foundations, in addition to supporting vertical loads from superstructures, are subjected to lateral stresses arising from seismic activities, wind gusts, water currents, and traffic impacts etc. Failure to account for these lateral forces can pose significant risks if the structure is expected to encounter any form of lateral pressure. Previous research has investigated the behavior of individual composite piles under horizontal forces, considering different soil properties, to determine the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 210–220 Read article
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Correlation Analysis of Gastrocnemius Tightness and Heel Pain Severity: A Study on Plantar Fasciitis
Abstract: Background: Plantar fasciitis, a common source of heel pain, is frequently linked to tightness in the gastrocnemius (GCN) muscle. This study seeks to examine the relationship between GCN tightness and the severity of heel pain in plantar fasciitis patients over time, investigating the potential role of muscle flexibility in alleviating pain. Methods: A prospective cohort study was conducted with 74 patients aged 25–65 diagnosed with P. fasciitis at Santosh Hospital, …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 57–64 Read article
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Analysis of Gold Price Trend Using the Hidden Markov Model
Abstract: This study aims to analyze the behavior of gold prices in India through a two-state Hidden Markov Model (HMM). We first formulated crucial parameters, such as the Transition Probability Matrix (TPM), Initial Probability Vector (IPV), and Emission Probability Matrix (EPM). Subsequently, we constructed a hidden Markov probability distribution and evaluated Pearson’s coefficients to gauge the correlations separately for each state. The goodness of fit of the developed model was assessed …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 7–16 Read article
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A Finite Element Analysis to Study the Effect of Hydrostatic Pressure on Steel Ductility
Abstract: The effect of superimposed hydrostatic pressure on percentage reduction of area (a gauge mark of the ductility) is investigated in round steel bars in tensile stress by employing a finite element analysis (FEA) with 8-node serendipity quadrilateral elements and von Mises plasticity flow rule in an elastoplastic power law hardening model. It is demonstrated that a linear relationship exists between the pressure and percentage reduction of area at any given …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 1, 2025 · pp. 41–51 Read article
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Formation and Fabrication of A 3D- Printed Polymer Propeller for Improved Propulsion and Minimal Acoustic Emission: A Comparative Study for Small Unmanned Vehicles
Abstract: The current research focuses on a comparative analysis of propeller designs to identify an option that enhances thrust efficiency while minimizing acoustic noise. The study evaluates three distinct types of propellers: the traditional three-blade propeller, the Sharrow propeller, and a novel aero propeller featuring an air foil-shaped cross-section. To facilitate a hands-on analysis, these propellers were produced using 3D printing technology, specifically employing ABS filament through a Fused Deposition Modelling …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 252–261 Read article
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Occupational Health and Safety Measures Among Healthcare Workers in Ancillary Departments of Private and Tertiary Care Hospitals of North India
Abstract: The purpose of this study is to evaluate healthcare workers’ knowledge, attitudes, and behaviors about Occupational Health and Safety (OHS) measures in ancillary departments of private and tertiary care hospitals in North India. 860 respondents, representing a wide spectrum of healthcare personnel, were given a thorough survey to gauge their knowledge of OHS procedures, their training, and their compliance with safety precautions. The poll also aimed to determine the typical …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 7–16 Read article
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Electroactive Graphene–Polymer Nanocomposites for Self-Sustaining and Multifunctional Flexible Devices
Abstract: Graphene–reinforced polymer–composites were developed and systematically investigated to explore their multifunctionality in flexible electronic applications. The study specifically aims to correlate graphene-induced structure–property–function relationships with electroactive performance and self-sustaining behaviour in flexible devices. The hybridization of electroactive polymers—polyaniline (PANI), poly(3,4-ethylenedioxythiophene): polystyrene sulphonate (PEDOT:PSS), and polyvinylidene fluoride (PVDF)—with graphene nanoplatelets enabled simultaneous enhancement of electroactivity, energy-harvesting, and sensing functionalities. Morphological studies confirmed uniform graphene dispersion at 5 wt.% loading, forming continuous …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 260–271 Read article
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IoT-Enabled Flexible Polymer Sensors for On-Body Health Monitoring and Real-Time Data Transmission
Abstract: Wearable health monitoring systems have grown increasingly vital in shifting care beyond clinical settings, yet many existing technologies remain hamstrung by rigid substrates and unreliable data streaming, impeding continuous and comfortable physiological assessment. Despite advances in flexible materials, most current sensor platforms suffer from limited mechanical endurance, signal instability under dynamic conditions, or an inability to sustain real-time wireless transmission. This work addresses those deficiencies by introducing a fully integrated, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 188–200 Read article
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Driver Drowsiness Detection System
Abstract: One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion. Therefore, detecting driver fatigue is very important to save lives and property. The creation of a prototype drowsiness detection system is the aim of this research. The system operates in real time, continuously capturing images and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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Leveraging Standards and Deep Learning Approaches to Secure Internet of Things (IoT) Devices from Cyber Attack
Abstract: The widespread adoption of Internet of Things (IoT) devices between 2019 and 2024 has significantly grows in various sectors in Japan, including healthcare, manufacturing, and the development of smart cities. Although this growth offers many advantages, it also makes these devices more vulnerable to cyber threats. High-profile security breaches in Japan have sparked discussions about the requirement for enhanced security measures to protect the rapidly evolving IoT technologies. This study …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Harnessing AI in the library of IITs: A Journey Towards Automation to Intelligence
Abstract: This study carries out an in-depth analysis of the impact and execution of Artificial Intelligence (AI) technologies in one of the noteworthy libraries in the twenty-three (23) Indian Institutes of Technology (IITs). It would be pertinent to mention that there is hardly any doubt that one of the most radiating technologies in the field of computing technologies is Artificial Intelligence which in turn is rendering a profound impact on the …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 95–105 Read article