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1980 articles for “P-dA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article
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SEISMIC ANALYSIS OF BASE ISOLATION FOR PROTECTION OF RURAL BUILDING OF DIFFERENT SHAPES
Abstract: India is a developing country, more than 50% of Indian population lives in unreinforced masonry structures. Masonry structures are vulnerable to seismic loading and load acting in it’s out of plane, hence performs poorly and sometimes leads to sudden collapse. Collapse of structure not only damages public property but also costs the lives of people. Base isolation techniques for these types of structure can be proven to be beneficial, in …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 32–43 Read article
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The Emerging Role of Nutraceuticals in Functional Beverages
Abstract: Nutraceuticals, derived from food sources, are gaining prominence for their potential health benefits beyond basic nutrition, often serving as remedies for chronic diseases. This includes functional beverages, such as energy drinks, sports drinks, nutraceutical drinks, and functional waters, which are formulated to provide specific health benefits, from energy enhancement to immune support. Nutraceutical beverages often contain bioactive compounds, vitamins, minerals, probiotics, herbal extracts, and adaptogens, offering a convenient way to …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 1, 2025 · pp. 16–24 Read article
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An Analysis of Stoic Characters from the Lies I Tell by Julie Clark
Abstract: The research delves into the analysis of stoic characters from The Lies I Tell in various perspectives. The argument rests on those character's specific characteristics of being a stoic person and following the philosophies of the stoic human. Using a literary-philosophical approach, the analysis explores how both protagonists demonstrate the stoic ideal in distinct ways. Meg Williams, in her calculated acts of retribution, exhibits controlled reasoning and a deep, though …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 8–12 Read article
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Perception and Implementation of Sports Safety Measures Among University Physical Education Instructors in Punjab: A Cross-Sectional Study
Abstract: Introduction: Considerable attention must be focused on sports safety as it is a constituent of thephysical education (PE) curriculum at the university level, in view of the frequent and vigorous engagement in physical activities. While there is general acknowledgement of the existence of safetymeasures, the extent to which such measures are put into practice may differ. This research examines the perceptions and practices related to sports safety of university PE …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 45–55 Read article
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Spectral Mapping and Tracking Error of MBOC signal and Wavelet based GNSS receiver
Abstract: This research paper delves into the historical evolution and contemporary state of the art in navigation technologies, emphasizing the paramount importance of reliable positioning systems. Tracing the journey from ancient primitive methods to the present-day Global Navigation Satellite Systems (GNSS), with a focus on the Global Positioning System (GPS), the paper explores the diverse instruments and methods developed by civilizations throughout history to determine location and navigate effectively. The main …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 50–65 Read article
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Adoption of Major Climate-Smart Agricultural Practices in Gimbo District, Southwest Ethiopia
Abstract: This study investigates the determinants of adoption of Climate-Smart Agricultural Practices (CSAPs) among smallholder farmers in Gimbo District, Southwest Ethiopia. The focus is on three key technologies: agroforestry, improved seed varieties, and improved livestock feed and feeding practices. Primary data were collected from 384 households through structured interviews, and a multivariate probit (MVP) model was employed to analyze the simultaneous adoption of multiple technologies while accounting for potential interdependencies. Descriptive …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 65–76 Read article
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Consequence Analysis, Vulnerability Mapping and Fuzzy Fault Tree Analysis for a Better Disaster Management in and Around Chemical Industrial Areas
Abstract: Chemical industries are prone to hazards like fire, explosion and toxic gas releases. Qualitative and quantitative hazard analyses are essential for the identification and quantification of the hazards associated with chemical industries. This study presents the results of a consequence analysis carried out to assess the damage potential of the hazardous material storages in an industrial area of central Kerala, India. These results are used for the estimation of individual …
Published in Journal of Industrial Safety Engineering · Vol. 1, Issue 1, 2014 · pp. 12–18 Read article
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Early Heart Disease Prediction Using Hybrid Machine Learning Techniques
Abstract: In the contemporary era, cardiovascular disease is one in all the most causes of death within the world. Estimating Heart problems i.e cardiopathy is a crucial challenge within the area of clinical data analysis. Large volumes of data produced by the healthcare sector have been proved to be useful for helping with decision-making and speculation, thanks to machine learning (ML).. Various studies help us to review and supply glimpse into …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 35–41 Read article
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Healthcare Monitoring and Alert Generation System
Abstract: The increased use of mobile technologies & smart devices in the area of health has caused great impact on the world.[4] Health experts are taking benefits of these technologies to bring, thus generating a significant improvement in health in clinical settings and out of them. Also, many normal users are being served from the advantages of the M-Health (Mobile Health) applications and E-Health (health care supported by ICT) to improve, …
Published in Current Trends in Information Technology · Vol. 10, Issue 2, 2020 · pp. 30–34 Read article
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An New Approach for Email Security
Abstract: Email is the most widely recognized approach to impart today. Email is utilized for sending instant messages and to send connection and sounds and recordings. For business information exchange email is the main means. It is the most common way to communicate over internet with different people all over the world. Also, it’s had disadvantages like cybercrime, people can use this means of communication for sending false mails spam, dangers, …
Published in Current Trends in Information Technology · Vol. 11, Issue 3, 2021 · pp. 8–11 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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Fire Detection and Alert System Using IoT
Abstract: The Fire Detection and Alert System Using IoT is a new solution aimed at improving fire safety in multi- floor buildings. Fires can be very dangerous, especially in crowded areas or tall buildings. When a fire breaks out, evacuating can be hard and slow. This project uses IoT technology to create a fire detection system that works fast and is easy to expand. Each floor of the building is equipped …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 15–23 Read article
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Evaluation of Gamma Radiation Induced DNA Damage in Bombyx mori, using Single Cell Gel Electrophoresis (Comet Assay)
Abstract: Bombyx mori (B. mori) is the model insect used in the present study, which is commercially important compared to other Lepidopterans. Eggs of late embryonic stage (7 day old) of B. mori were exposed to different doses of gamma radiation to study the extent of DNA damage using comet assay which is a rapid technique to study the genotoxic effects. Test samples were exposed to varied doses of radiation (100, …
Published in Research and Reviews: A Journal of Toxicology · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article
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Numerical Simulation of Air Flow Field of A Gas Turbine Engine Air blast Atomizer
Abstract: One of the most crucial process that occurs before the fuel is burned in the combustion chamber is atomization. The performance of a engine will be depend mainly on the fuel mixture. Performance of the engine depends on atomization process because it breaks the bulk fuel into small droplets and injects it into the combustion chamber, in order to make this happen consequently the dimensions of most of the fuel …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 169–180 Read article
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Structural Performance Evaluation of Circular Perforated Plates under Mechanical Loading
Abstract: Circular perforated plates are structurally critical components in aerospace, automotive, and marine sectors, where perforation-induced stress concentrations govern failure under mechanical loading. This study conducts a systematic finite element analysis of stress distribution, deformation, and interlaminar behavior in aluminum and glass-epoxy laminates ([−45/45/90/0]S and [−45/45/90/0]AS) under uniform transverse pressure with clamped-free boundary conditions. Four perforation configurations—no hole, central hole, single-series, and 25-hole grid—were evaluated using ANSYS Shell-181, verified against Kirchhoff–Love, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 1–20 Read article
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Air Conditioning System by Using Four Wheeler Vehicle Suspension
Abstract: Now a day we have required fuel efficient car. But the engine of the cars is not efficient when the load on car is high. For this purpose we have reduce the load on engine that is to run the AC and Compressor. Instead of engine power we are used the suspension system for producing compressed air and AC effect Vice- Versa. Current air-conditioning systems can reduce the fuel economy …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 17–23 Read article
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Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
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A Study of Open-source Cloud Computing Platforms
Abstract: Cloud computing has modernized the way organizations manage, store, and process data, offering scalable and cost-effective solutions. Open-source cloud computing platforms have emerged as a key enabler in this transformation, providing flexibility, transparency, and community-driven innovation. This study discusses the most prominent open-source cloud platforms, including OpenStack, CloudStack, and Kubernetes, highlighting their architecture, features, and use cases. The study deals with their comparative strengths, limitations, and adoption challenges in various …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Enabling Intelligent Interoperability: Advancing Sensor Networks Through the Semantic Sensor Web (SSW)
Abstract: The Semantic Sensor Web (SSW) is an evolution of the traditional Sensor Web, integrating semantic web technologies to enhance the discovery, interpretation, and integration of heterogeneous sensor data. By embedding semantic annotations into sensor observations and metadata, SSW enables automated reasoning, improved interoperability, and more sophisticated querying capabilities across diverse sensor networks. This approach addresses key challenges in handling large-scale, distributed, and dynamic sensor data, particularly in domains such as …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 21–37 Read article