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1974 articles for “uses and applications” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Study and Analysis of Developments in ChatGPT and Impact on Humanity
Abstract: This research paper examines the ChatGPT model of Artificial Intelligence, including its architecture, training process, applications, issues, and future advancements. ChatGPT employs a transformer-based design and undergoes pre-training and fine-tuning procedures. Its applications are conversational AI, translation, content generation, and research. In the real world, you can find it helping in online shops, banks, hospitals, and customer service. We also want to make sure it treats everyone fairly, stays safe, …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 2, 2023 · pp. 18–25 Read article
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Zinc Oxide Nanoparticles from Murayya koenigii: Antibacterial Potential Review
Abstract: Nanoparticles (NPs) display unique characteristics in contrast to conventional physico-chemical synthesis methods, and they are utilized in various life science fields including surface coating, catalysis, food packaging, corrosion prevention, environmental cleanup, electronics, biomedical applications, and antimicrobial purposes. Metal NPs synthesized through green methods, particularly from plant origins, have garnered significant interest because of their inherent traits such as environmental friendliness, quick production, and cost efficiency. Over the past few years, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 54–67 Read article
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Determining the Effect of Applying Different type and Rate of NPSB Fertilizers on Yield of Common Bean at Wolaita Zone Boloso Sore Woreda, South Ethiopia
Abstract: The research was conducted to determine effect of different types and rate of NPSB and CU fertilizers on yield of common bean at boloso sore woreda at rain-feid condition for two years (2016 & 2017) at Areka research center, located at an altitude of 1830 masl, latitude 07° 4’ 24’’ N, longitude 37° 41’ 30’’ E, temperature: 20.3° C, rainfall: 1200-1700 mm, soil type: Haplic alisol. A completely randomized block …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 2, 2024 · pp. 1–6 Read article
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Performance of Artificial Neural Network for Tree Species Identification using Sentinel-2 Data
Abstract: Accurate land cover mapping, especially concerning vegetation, is crucial for effective land use policy planning and sustainable forest management. Hence, achieving accuracy in mapping requires a deep understanding of composition changes, vegetation conditions, and the spatial distribution of tree species. In the spatial context of tree species, it holds significant potential for applications including invasive species monitoring, delineating contaminated areas, and biodiversity conservation. However, traditional methods for tree species identification …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 12–21 Read article
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Exploring Phytomedicine: Innovations, Efficacy and Future Directions
Abstract: The use of plant-derived substances for therapeutic purposes has long been a cornerstone of traditional medicine systems worldwide. With increasing interest in natural remedies, the field of phytomedicine is experiencing a revival, marked by innovations in research, formulation, and application. This review article explores recent advancements in phytomedicine, highlighting novel extraction technologies, and the efficacy of plant-based treatments in clinical settings. The review also addresses the challenges faced in phytomedicine …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 2, 2025 · pp. 32–50 Read article
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Cardiovascular Illness Detection and Categorization with Innovative Neural Networks
Abstract: Health-related problems are increasingly prevalent in modern-day societies and are significantly shaped by a multitude of factors encountered in everyday life. Among these, cardiovascular diseases have emerged as one of the primary causes of death on a global scale, posing serious challenges to public health systems. In response to this growing concern, the present study proposes a machine learning-based framework that is not only highly effective but also reliable and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 21–30 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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A Comparison of Different Generative AI Models
Abstract: Generative models have significantly advanced the field of artificial intelligence by allowing machines to produce complex and realistic outputs such as images, text, and other forms of data. Among the leading frameworks in this domain are generative adversarial networks (GANs), variational autoencoders (VAEs), and architectures based on Transformers. Each model offers specific benefits and drawbacks concerning design structure, training demands, and range of applications. This paper provides a detailed comparison …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 16–22 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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Advancements and Future Directions in Polymers for Electric Vehicle Technology
Abstract: Plastics have become important internally in automotive applications, ranging from vehicle inner components to under the hood of the car, as they are flexible and help on improving fuel economy and reducing CO2 emissions by replacing metal. The last two years had seen a higher rate of electric car sales even though its adoption around the world was not at the same pace. There is still a doubt among the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 29–46 Read article
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Study of the CuS/CdSe Quantum Dots on the Optical Properties of Green Synthesis
Abstract: Chalcogenides based nanomaterials, such as CdSe are emerging as an important material offering transformative potential across multiple domains, such as photocatalysis, optoelectronics, sensing, and photo luminesce. In this study we synthesised CuS/CdSe quantum dots by varying CuS concentration through plant mediated green method. The copper sulfide synthesized at varying concentrations of the Se source, exhibited bonding configuration that are comparable to those of the Cd source. The goal of this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 176–184 Read article
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Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
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Carbon Capture Using Polymer Based Membranes - A Green Solution to Climate Change
Abstract: Growing concerns over greenhouse gas emissions have intensified the search for efficient and eco-friendly carbon capture technologies. This study explores the potential of innovative polymer-based membranes as a sustainable approach to controlling CO2 emissions. The paper outlines the fundamental mechanisms of gas transport in membranes, reviews recent advancements in polymer material design, and examines various membrane configurations suited for industrial applications. Special attention is given to newly developed high-performance polymers …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 13–18 Read article
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Investigating Temperature Effects on Thermal Analysis of Composite Heat Pipes with Diverse Geometrical Configurations
Abstract: As the demand for efficient heat dissipation technologies continues to surge, understanding the intricate interplay between temperature variations and the thermal performance of heat pipes assumes paramount importance. This study investigates the impact of temperature fluctuations on the thermal behaviour of heat pipes with diverse geometric configurations. A comprehensive analysis is conducted utilizing advanced computational simulations coupled with experimental validation techniques. Heat pipes are an innovative heat transfer device with …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 20–34 Read article
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Ayurvedic Management of Vataja Oshtharoga Whole System Research (W.S.R.) to Pigmented Contact Cheilitis—A Case Report
Abstract: Acharya Sushruta, in his ancient text, delineated 65 types of Mukha Roga, categorizing them into seven Mukha Avayava. Among which eight Oshtha Roga was classified as Vattaja, Pittaja, Kaphaja, Sannipataja, Rakta, Mamsaja, Medaja, and Kshataja. Among these, Vataja Oshtha Roga stands out, typified by pigmented contact cheilitis in modern medical parlance. This condition manifests initially with a tingling, itching sensation accompanied by swelling of the lips. Over time, the lips …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 09–13 Read article
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Encapsulation of Karela Extract in Polymer Nanoparticles
Abstract: Karela (Momordica charantia) fruit extract possesses promising antibacterial properties. However, its direct application can be limited by factors like degradation and uncontrolled release. This study explores the encapsulation of Karela extract within biocompatible and biodegradable polymeric nanoparticles as a potential strategy to enhance its efficacy. The research investigates the development of nanoparticle systems using various polymers and their impact on the stability, controlled release, and antibacterial activity of the encapsulated …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 864–867 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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Development of Robot Arm Fingers with Polymer Soft Materials
Abstract: Lightweight soft material applications have attracted attention to Basalt Fiber Reinforced Polymer (BFRP) laminates because of their impressive mechanical characteristics. The impact response and stress-strain behavior of epoxy resin laminates armored with basalt fiber and banana fiber are investigated during this project using computational and experimental approaches. The hand lay-up method was employed to create laminates with a thickness of 3 mm, dimensions of 300x300 mm², and a layout of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 432–439 Read article
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Effect of 3D Printing Process Parameters on the Tensile Strength of Polylactic Acid (PLA)
Abstract: This study employs the Taguchi approach to systematically analyze and optimize critical Fused Deposition Modeling (FDM) parameters, focusing on their effect on the tensile strength of 3D-printed Polylactic Acid (PLA) components. The study explores three levels of layer thickness (0.15 mm, 0.25 mm, and 0.3 mm), infill densities (25%, 50%, and 75%), and nozzle temperatures (200°C, 205°C, and 210°C) across three infill patterns: Triangular, Gyroid, and Zig-zag. A total of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 128–140 Read article
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Harnessing NLP for Automation and Intelligence Across Sectors
Abstract: Natural Language Processing or NLP is a vital subset of Artificial Intelligence or AI which enables machines to interpret, understand, and communicate using human language in a remarkable way. From the traditional rule-based approaches to the modern advanced deep learning techniques such as transformers, neural networks, and hybrid models, NLP has been evolving year by year. This study reflects on various applications of NLP, including sentiment analysis, machine translation, analysis …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 23–32 Read article