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1192 articles for “Transformer”
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Gene Therapy in Modern Medicine: Promises and Challenge in Treating Genetic Diseases
Abstract: Gene therapy is a medical approach that focuses on altering or adjusting an individual’s genes to treat or prevent illnesses. The aim is to repair faulty genes or insert new ones into the body to combat diseases. Gene therapy can involve directly introducing modified or new genes into a patient’s cells or altering the genes already present in the patient’s body. This approach shows potential for treating a range of …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 27–32 Read article
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Advancing UAV Video Transmission: A Full-Duplex System with RF and Signal Processing for Reliable, Long-Range HD Communication
Abstract: Unmanned aerial vehicles (UAVs) have transformed industries by enabling advanced aerial imaging and data collection. However, transmitting high-definition (HD) video from UAVs to ground stations poses challenges such as limited range, bandwidth constraints, and interference. This paper presents the development of an HD, full-duplex video transmission system using cutting-edge electronic technologies, including advanced radio frequency (RF) systems and signal processing. These electronic systems are designed to ensure fast, reliable, and …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 38–45 Read article
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Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article
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Synthesis and Structural Characterization of Nanocrystalline CeO2 and Ce0.95Cu0.05O2 Solid Solution Catalysts: Properties and Applications
Abstract: The main study and the development of CeO2 and Cu-doped CeO2 nanocrystals containing transition- metal species are of crucial importance for understanding the preparation and fabrication of CeO2 and Cu-doped CeO2 nanoparticles by solution combustion technique to taken glycine as fuel. The structural properties of Ce1-xCuxO2 nanocrystals were examined by investigating the influence of cerium dioxide and Cu dopant ions. The CeO2 single-phase cubic system was successfully incorporated with Cu …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 3, 2024 · pp. 29–38 Read article
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Examining the Role of Synthetic Biology in Cellular Restoration Mechanisms
Abstract: Synthetic biology has emerged as a transformative field with the potential to revolutionize cellular repair mechanisms, offering innovative solutions to repair damaged DNA, stabilize proteins, regenerate tissues, and treat a wide range of diseases. By combining principles from genetic engineering, biotechnology, and computational biology, synthetic biology enables the design of cellular systems capable of performing functions that repair cellular damage and restore normal cellular processes. This article explores the application …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 19–29 Read article
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Comprehensive Study of Least Squares Estimation in Fast Fading MIMO-OFDM Systems
Abstract: MIMO-OFDM technology is now the foundation for modern wireless communication systems, allowing dramatic improvements in spectral efficiency, power efficiency, and transmission rate. On the other hand, the least accurate channel estimation is still a critical task, especially when they are in fast-fading environments. This study gives a comprehensive survey of LSE-based approaches and their applications on different fast-fading channel models for MIMO-OFDM systems. Techniques like Pilot Assisted Channel Estimation (PACE), …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 13–21 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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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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Blockchain Technology: Challenges and Opportunities
Abstract: Blockchain is a revolutionary digital, distributed network technology which has the power to replace third party trusted with mathematical concept and algorithms. It is considered as a change in every aspect in the life of humans. It is basically the peer-to-peer connection within a decentralized database. Blockchain provides us with the features of security, privacy, accessibility as well as immutability. Blockchains are mostly used for registering transactions, authenticating and validating …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 1, 2025 · pp. 21–30 Read article
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Global Robotics Market Dynamics: Trends, Growth, and Future Projections Based on Machine Learning
Abstract: Robotics is advancing rapidly, fueled by technological innovations and a wide range of applications. In 2020, the global robotics market reached a valuation of $40 billion, with industrial robotics comprising $25 billion. Robots are increasingly being utilized in manufacturing, driving automation and enhancing efficiency. Countries like South Korea, Singapore, and Germany are leading in robot density, highlighting their role in enhancing productivity and competitiveness. The analysis presented in this paper …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 01–08 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
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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An Investigation into the Efficacy of a Structured Teaching Program on Understanding Pubertal Changes and Menarche Among Adolescent Girls Enrolled at a Designated PU College in Gadag
Abstract: Background of the Study:Adolescence pertains to the phase of physical and physiological maturation occurring between childhood and adulthood. The commencement of adolescence, often linked to the initiation of puberty, introduces significant shifts in hormone levels and various ensuing physical transformations. The onset of puberty is also connected to substantial changes in drives, motivations, psychology, and social interactions, which persist throughout the adolescent period. A growing body of neuroimaging research is …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 20–39 Read article
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A Review Article on Nutraceuticals – An Impact on Conventional Health Care
Abstract: Nutraceuticals, combining nutrition and pharmaceuticals, have transformed healthcare. This review explores their classification, scope, benefits, and challenges. Nutraceuticals, including dietary supplements, functional foods, herbal products, and fortified foods, promote health and prevent diseases. The global market, valued at $117 billion, is expanding rapidly, fueled by the growing focus on health. Key benefits are boosted health benefits, fewer side effects, natural options improved nutrition. Classification is traditional (conventional) nutraceuticals (e.g., lycopene, …
Published in International Journal of Nutritions · Vol. 2, Issue 1, 2025 · pp. 9–23 Read article
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Influence of Remote Therapeutic Monitoring on Efficiency and Effectiveness of PT in Home Health Settings
Abstract: The delivery of physical therapy (PT) services in a home health setting presents unique challenges and opportunities, particularly as the demand for personalized, patient-centric care continues to grow. Remote therapeutic monitoring (RTM) has emerged as a transformative tool, enabling therapists to monitor patients’ progress, adherence, and outcomes beyond the traditional in-person visits. Leveraging technologies, such as wearable devices, mobile applications, and telecommunication platforms, RTM bridges the gap between sessions, fostering …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 35–40 Read article
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Nanotechnology and Sustainability Motion
Abstract: Nanotechnology is the focus of many scientific communities due to its multifunction. To realize such functionality, the size, dimensions, and shape dependent physio-chemical properties are first analyzed. Then, measurable nanostructures including nanomaterials, nanocomposite, and nanoparticles which impact the functional properties of materials and devises are assessed. Herein, the role of such nanostructures in enhancing the efficiency, performance, and quality of materials and technology is envisioned. As a vehicle, contributions of …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 1, 2025 · pp. 7–13 Read article
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Emotionally Intelligent AI: The Future of Mental Health Care and Emotional Well-being
Abstract: With the potential to improve emotional well-being through sophisticated AI systems, emotionally intelligent AI (EI-AI) represents a revolutionary frontier in mental health treatment. EI-AI can recognize, understand, and react to human emotions in real- time by utilizing recent advancements in machine learning, natural language processing, and emotion detection. These features are being used more and more in mental health settings, where chatbots and other AI-driven interventions help with emotional regulation, …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 17–21 Read article