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1982 articles for “potential” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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In-Silico Studies of Phytochemicals from Allium sativum with H5N1 Protein in Avian Influenza
Abstract: Allium sativum or garlic is a medicinal plant that is reported for its applications in many biological activities, such as its antiviral, antidiabetic, and anti-inflammatory properties, etc. In this paper, the focus has been the identification of potential phytochemicals that can be extracted from Allium sativum that can act as a candidate for drug formation that possesses the capability to inhibit the H5N1 Avian Influenza, a type of highly pathogenic …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 50–60 Read article
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Exploring Malaria Fever (Vishama Jwara) Through an Ayurvedic Lens: A Comprehensive Review
Abstract: Malaria fever, known as Vishama Jwara in Ayurveda, is a significant global health challenge caused by the Plasmodium species transmitted via Anopheles mosquitoes. While conventional medicine has advanced in diagnosing and treating malaria, exploring it through the Ayurvedic perspective offers valuable insights into its holistic understanding and management. Ayurveda describes Vishama Jwara as a fever with irregular patterns, aligning with the cyclical febrile episodes seen in malaria. This review delves …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 47–53 Read article
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Evidence-Based Ayurveda Approaches for the Rapid Management of Dyslipidemia
Abstract: Dyslipidemia is increasingly prevalent ain modern society, primarily resulting from imbalances in lifestyle and dietary habits. Elevated levels of triglycerides, however, are associated with an increased risk of cardiovascular diseases and metabolic disorders. Ayurveda, the traditional Indian system of medicine, offers holistic approaches to managing lipid imbalances through dietary regulation, herbal formulations. While it may not directly correspond to a specific disease entity in Ayurveda, it is typically associated with …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 63–66 Read article
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A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
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A Review on the Impact of Artificial Intelligence on Cybersecurity
Abstract: When it comes to protecting against cyber threats, the use of AI is changing everything. Thanks to AI-powered technologies, organizations can now better foresee and handle potential intrusions. These solutions provide exceptional capabilities in identifying threats, monitoring in real time, and delivering predictive insights. But, with these innovations come significant hazards and difficulties, necessitating thoughtful deliberation and preventative measures. Artificial intelligence's impact on cybersecurity is explored in this article, looking …
Published in Journal of Artificial Intelligence Research & Advances Read article
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Turmeric as a Key Ingredient in Cosmeceuticals: New Scientific Evidence
Abstract: Turmeric (Curcuma longa), particularly its active compound curcumin, is gaining recognition in cosmetics and medicine for its therapeutic properties. Its antioxidant, anti-inflammatory, and antimicrobial effects make it a popular skincare ingredient, helping reduce inflammation, brighten skin, and fight aging. In addition to treating dandruff and promoting hair growth, Turmeric is also good for scalp health. Curcumin increases the body's antioxidant defenses. Inhibits inflammation and anti-oxidants. Curcumin, a powerful compound found …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 28–36 Read article
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Revolutionizing Culinary Innovation and Sustainability through Smart Kitchen Assistant
Abstract: Introducing a Smart Kitchen Assistant which revolutionizing a culinary experiences with advanced features. This innovative system integrates a precision Vegetable Cutter, optimizing meal preparation efficiency. And a Storage Space ensures organized ingredients readily available for cooking. UV Light Sterilization guarantees hygienic food preparation surfaces, enhancing safety. Additionally, integrated Solar Panels promote sustainability, reducing energy consumption and environmental impact. By seamlessly combining this technology with sustainable practices, our Smart Kitchen Assistant …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 1–16 Read article
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Vibration Analysis of Functionally Graded Piezoelectric Actuators: A Comprehensive Review
Abstract: Recent research has been concentrated on a thorough investigation of the vibration evaluation of functionally graded piezoelectric materials (FGPM), shedding light on the potential for enhancing structural optimization and controlling deflections and vibrations. Functionally graded piezoelectric material is a type of advanced composite material possessing diverse characteristics that allow for customized mechanical and electrical responses. The existing body of academic work extensively addresses the vibration analysis of functionally graded piezoelectric …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 426–440 Read article
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A Survey of Several Machine Learning (ML) Algorithms for Security Solution in Internet of Things (IoT) Networks
Abstract: The Internet of Things (IoT) refers to the integration of physical objects with the Internet, allowing for connectivity and monitoring. This idea has garnered immense attention from researchers and users alike, driven by the widespread accessibility of the Internet. It spans a wide range of devices, including smart versions of conventional appliances, innovative tools tailored for Internet-enabled ecosystems, and sensors that leverage connectivity to revolutionize industries such as manufacturing, healthcare, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Thermoelectric Generator Plate-based EV Charging Solutions
Abstract: The International Institute of Refrigeration estimates that air conditioning and refrigeration use 15% of the world's electricity and contribute to the emission of CO2, HCFCs, and other harmful chemicals. Global warming is one of the many negative effects of using such refrigerants on our environment. The efficiency of the car is impacted by the increased fuel consumption for air conditioning. Thermoelectric air conditioning can be utilized to solve the emission …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 1–13 Read article
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Improving the Efficiency of Solar Cabinet Dryers: A Comprehensive Review
Abstract: Solar cabinet dryers offer an eco-friendly and sustainable solution for drying agricultural products, utilizing solar energy to reduce moisture content. However, to match the performance of conventional drying methods, there is a need to enhance the efficiency of these systems. This research article delves into various strategies to increase the efficiency of solar cabinet dryers, including design optimization, material selection, airflow management, and operational adjustments. Key improvements such as multi-pass …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 22–27 Read article
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Implementation of Energy-efficient Axial Fans for Air Handling Unit Using AI Model
Abstract: This research explores the integration of energy-efficient axial fans in Air Handling Units (AHUs) within a large automotive manufacturing facility to enhance HVAC (heating, ventilation, and air conditioning) performance and reduce energy consumption. Standard AHUs in the facility’s clean rooms and other spaces utilize traditional blower fans, which primarily rely on static pressure, limiting their efficiency. By replacing these with electronically commutated (EC) axial flow fans, which leverage both static …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 28–34 Read article
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Developing a RAG-PDF Reader Using Instructor XL and Falcon 7B
Abstract: This study outlines the development of a Retrieval-Augmented Generation (RAG) application, designed to efficiently extract, retrieve, and synthesize insightful responses from complex PDF documents. Leveraging advanced models like Instructor XL for generating high-quality semantic embeddings and Falcon 7B for sophisticated language generation, this system provides a robust solution for document comprehension in academic, research, and professional environments. By implementing efficient PDF text processing, embedding storage with FAISS for rapid similarity-based …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 45–49 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article
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Energy-efficient HVAC System with Decision Tree Classifier and Real-time SMS Notification
Abstract: This research paper explores the design and implementation of an energy-efficient heating, ventilation, and air conditioning (HVAC) system aimed at optimizing energy consumption and enhancing operational efficiency. The system incorporates high-efficiency components, including axial flow fans, motors, and intelligent variable frequency drives, achieving an overall system efficiency of up to 85%. By utilizing both static and dynamic pressures, the HVAC system operates more effectively under varying conditions compared to traditional …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 29–34 Read article
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Web-based Rental Application for Leasing and Renting Daily Utilities
Abstract: This project addresses the challenges posed by a cluttered online marketplace, specifically catering to the everyday needs of our local community. We propose a user-friendly website designed as a one-stop solution for borrowing, renting, and buying a wide range of items. Existing platforms often lack organization, forcing users to navigate multiple channels to find what they need, leading to wasted time and effort. Our website is built to overcome this …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 77–83 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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The Role of Computers in India’s Transformation
Abstract: The role of computers in India's transformation has been pivotal, driving unprecedented growth and development across various sectors. This study explores how the introduction of computers in India, particularly after the liberalization of the economy in the early 1990s, has reshaped the nation’s industrial, economic, and social landscapes. Key areas of impact include information technology (IT), education, governance, healthcare, and finance, where computers have enhanced efficiency, transparency, and accessibility. India's …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 01–07 Read article
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Enhancing Efficiency and Adaptability of Double Pipe Heat Exchangers: Design and Implementation Perspectives
Abstract: The present study focuses on exploring the intricacies of twin pipe heat exchangers, highlighting their versatility and efficiency in various industrial applications. Twin pipe heat exchangers consist of concentric pipes through which fluids flow in opposite directions, enabling effective heat transfer across significant temperature gradients. This design is particularly advantageous in scenarios involving low flow rates or highly viscous fluids, as well as moderate heat loads. One of the key …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 1, 2025 · pp. 63–70 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article