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1967 articles for “P-dA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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KSK Approach: An AI-Driven IoT Based Decision Making System’s Study
Abstract: Internet of Things (IoT) has promised a world of interrelated devices, generating vast amounts of data. Traditionally, IoT systems trusted on preprogrammed procedures and human intervention to process data and make decisions. This approach often struggled to hold the sheer size and density of IoT data, leading to inefficiencies and missed opportunities. However, the true budding of that data lies not simply in its collection, but in its interpretation and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 14–25 Read article
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Enhancing ABET Summative Direct Assessment with AI and Blockchain: A Framework for Personalized Learning and Secure Evaluation
Abstract: Accreditation Board for Engineering and Technology (ABET) emphasizes the achievement of specific measurable learning outcomes. However, conventional assessment methods often find it challenging to accurately capture the complexities of student learning and program effectiveness within the ABET framework. This study proposes a novel framework that enhances ABET summative direct assessment by integrating a carefully structured, weighted assessment system with the transformative potential of artificial intelligence (AI) and blockchain technologies. The …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 28–42 Read article
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Fake News Detection System Using MultinomialNB and Django Framework
Abstract: The emergence of the World Wide Web and the rapid growth of online platforms have transformed the landscape of news dissemination. However, the rise of social media has also led to an overwhelming influx of potentially unreliable information, making it increasingly challenging to verify the truthfulness of articles. This verification process has become a daunting task, necessitating a thorough examination of various domain-specific aspects to ascertain the credibility of news …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 23–32 Read article
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Effect of Gamma and Electron Beam Irradiations on Crystalline and Gelatinization Properties of Edible Potato Starch
Abstract: Exposure of food material to radiation causes changes in crystalline (damage of crystal structure / lattice distortion), and gelatinization (digestive)properties. Potato starch (PS) is one of the important globally used food supplement in different forms like chips, curries, cusins etc. During its use the PS is exposed to radiations, altering its molecular structure (due to chain cleavages) and bring changes in structural and physical properties ; sometimes ill – effects …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 113–127 Read article
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Incidence of Salmonella spp., Klebsiella spp., Proteus spp. and Two Micronutrients (Zinc and Iron) Present in Poultry Feeds Collected from Sokoto, Nigeria
Abstract: Mostly, poultry quality is determined by its feed. Thus, in this time of ravaging pollution and infectious diseases monitoring of quality of products related to poultry is eminent. This study aimed at determining the incidence of some microbes and micronutrients (zinc and iron) in poultry feed in Sokoto, Nigeria. Standard methods and materials of analytical grade were used. Zinc and iron micronutrients were determined in feed and egg using atomic …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 1, 2023 · pp. 31–38 Read article
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Leveraging Deep Learning for Accurate Weed Identification
Abstract: Weed control is very important for all types of agricultural businesses. The project here revolves around the application of computer vision techniques and, more concretely, deep learning techniques, for the effective recognition and classification of weeds. The EfficientNetB4 architecture is an appropriate backbone as its scalability and performance optimization is adequate. The modifier used is Adam optimization algorithm which will serve as a pre- processor for the model. Weeds at …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 90–99 Read article
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Emerging Threats in Wireless Network Security: A Contemporary Analysis
Abstract: A crucial component of the architecture of contemporary information technology is wireless network security, as wireless communications .Given the continued importance of wireless communication in today's information technology architecture, wireless network security Since wireless communication is becoming more and more essential to our everyday lives, wireless network security is an essential component of today's information technology infrastructure. An overview of the main ideas, problems, and solutions for protecting wireless networks …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 2, 2023 · pp. 1–9 Read article
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Evolving IoT: Based Smart Healthcare Monitoring System
Abstract: The continuous progress in technology has led to remarkable enhancements in various aspects of human life, including healthcare. Within the healthcare sector, practitioners and experts are embracing new technologies to significantly improve the implementation of medical services. The Internet of Things (IoT) has emerged as a crucial foundation for various innovative healthcare technologies, such as heartbeat sensors, ECGs, and blood pressure sensors, each equipped with microcontrollers to read and interpret …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 1, 2023 · pp. 17–27 Read article
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Using Machine Learning to Guess Photochemical Reaction Pathways
Abstract: Photochemical reactions are crucial to many activities in the fields of energy conversion, environmental cleanup, and synthetic chemistry. However, predicting their causes and results effectively is still very hard since they entail excited electronic states, nonadiabatic transitions, and complicated potential energy surfaces. Machine learning (ML) has been a powerful technique to go along with classic quantum chemistry methods in the last few years. It offers better prediction capability and lower …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 01–12 Read article
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Innovations in Targeted Drug Discovery for Personalized Medicine
Abstract: Personalized medicine is revolutionizing modern healthcare by custoizing treatment plans to match an individual’s genetic makeup, protein expression, and metabomlic characteristics. Also referred to as precision medicine, this approach seeks to improve therapeutic outcomes, reduce adverse effects, and make efficient use of healthcare resources. The incorporation of various omics technologies—including genomics, proteomics, transcriptomics, metabolomics, and epigenomics—has greatly advanced our ability to understand disease biology and molecular variations specific to each …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 19–41 Read article
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Experimental Study on Sustainable Light Weight Concrete Incorporating with Oil Palm Industrial Waste
Abstract: In present days a very huge number of raw materials are used by the construction sector which releases very large amount of harmful gases such as carbon dioxide (CO2) into the environment. To avoid such problems research should be focused on sustainable materials, among which Oil Palm industrial waste that can be used in concrete. The main purpose of this research is to utilize the palm oil fuel ash (POFA) …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 1–18 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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A Study to Evaluate the Effectiveness of Planned Teaching Program on Knowledge Regarding Medico-Legal Aspects Among the Nurses of Selected Hospitals at Dharwad
Abstract: Background: Nurses need to update their knowledge regarding medico-legal aspects to reduce the errors related to care and documentation maintained in the profession. The present study aims to assess the knowledge of nurses on medico-legal aspects, to plan the teaching program and to find the effectiveness of planned teaching program in improving the knowledge of nurses. Material and Method: An evaluative approach using one group pretest posttest design was adopted. …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 9–14 Read article
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Design and simulation of Solar Powered Automated Dual Rotor Mechanism for Sugarcane Harvesting
Abstract: Sugarcane being the vast cultivated cash crop of India’s agricultural economy has undoubtedly one of the most difficult harvesting processes. The existing mechanisms to harvest sugarcane are costly and are not affordable by rural based farmers. In this project a novel design mechanism is suggested that would serve the purpose of harvesting with least manpower, being cost effective and serving the purpose of cutting, stripping, sorting and loading of the …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 Read article
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From High-Resolution Optics to High-Bandwidth Telemetry: The Evolution of Deep-Space Imaging Satellites
Abstract: The development of deep space imaging satellites has significantly enhanced satellite communication and space exploration capabilities. Earlier satellite systems relied on low-resolution imaging and conventional radio-frequency (RF) communication, which limited data transmission rates and image quality. With advancements in technology, modern satellites are equipped with high-resolution optical systems capable of capturing detailed images of celestial bodies. Furthermore, the introduction of high-bandwidth telemetry systems, such as Ka- band and optical (laser) …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 34–40 Read article
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From Noise to Insight: An Academic Study of Electrical Signal Processing
Abstract: Electrical signal processing is very important for turning raw, often noisy data into useful and actionable information. This article gives a simple and easy-to-understand summary of the basic ideas and methods used in electrical signal processing, such as filtering, signal representation, modulation, and spectrum analysis. The focus is on how to effectively eliminate noise and interference to improve the quality and dependability of signals. The conversation connects ideas from theory …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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The Future of Energy: How Smart Meters are Reshaping Consumption and Conservation
Abstract: By offering real-time data on electricity consumption, smart electric meters are revolutionizing energy management by empowering customers and utilities to make educated decisions about energy conservation and use. These meters are compatible with cutting-edge features including outage monitoring, demand response programs, and smooth integration of renewable energy sources. In addition to optimizing energy use and lowering costs, this also improves grid dependability and helps create a more sustainable energy future. …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 8–13 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
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A Study of Cloud-Enabled Deep Learning for Monitoring and Predicting Soil Health in Agriculture
Abstract: Soil health is a critical factor in ensuring sustainable agricultural practices and food security. Traditional methods for soil health assessment are often time-consuming, localized, and lack scalability. This study explores the integration of cloud-enabled deep learning techniques to monitor and predict soil health efficiently. Leveraging data from IoT sensors, satellite imagery, and lab-based analyses, a cloud-based framework is proposed to process and analyze soil health parameters such as pH, moisture …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article
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Satellite Sensing in Climate Change: A Study
Abstract: Satellite sensing has become an indispensable tool in the study of climate change, providing critical data that enhances our understanding of atmospheric, terrestrial, and oceanic processes. By employing advanced remote sensing technology, satellites facilitate the collection of extensive datasets on key climate indicators, such as temperature variations, greenhouse gas concentrations, and changes in land cover. This aerial perspective allows researchers to monitor large-scale environmental changes with unparalleled precision and consistency, …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 10–19 Read article