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1045 articles for “Li-Fi technology”
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Artificial Neural Network Based Prediction of Impact Loads and Thickness in CFRP and GFRP Composite Laminates
Abstract: Recent technological advancements, particularly the integration of neural networks, have facilitated a predictive approach to complex engineering problems, especially those involving composite materials with directional properties. The scarcity of literature on predicting impact damage using experimental and ultrasonic flaw detection data motivated this study. Experimental assessment of impact damage on carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) composites was conducted using low-velocity drop weight impact testing. Damage assessment employed an …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 34–45 Read article
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The Integration of Machine Learning in VLSI IC Design
Abstract: It represents the first use of AI in the domain of integrating circuits, which has been impacted by it. The conventional VLSI design process that is now in use is replaced by this technology. The laborious manual concepts created by people have been replaced with automated design innovations. This development would trigger a profound change in the fields of AI education and hardware computation. With the introduction of contemporary chips, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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AI-Based Threat Detection in Cloud Platforms
Abstract: This research work delves into the transformative role AI has come to assume for enhanced threat detection in the cloud ecosystem. The conventional security frameworks, which form the basis for many architectures, are several steps behind actualizing the rapidly evolving cyber threat landscape, exposing critical weaknesses in the areas of accuracy, adaptability, and speed of response. Initially, the study sets forth the problems with the old-school approaches to threat detection …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 01–10 Read article
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Some Recent Developments in Media Technology
Abstract: The creation, distribution, and consumption of material have all changed as a result of the media technology's quick development. The influence of 5G on streaming and interactive media, virtual and augmented reality (VR/AR), blockchain for media rights management, and artificial intelligence (AI) in content creation are some of the current developments in media technology that are examined in this article. The rapid advancement of digital technology in recent years has …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 30–36 Read article
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Exploring Inclusivity: Challenges, Strategies, and Impact
Abstract: Inclusivity is a cornerstone which aims to create environments, products and systems that meet the diverse needs and abilities of all people. This research paper provides a comprehensive study of inclusivity and sheds light on its role in building a just and accessible world. It continues to trace the historical development of universal design, revealing key milestones and their impact on the pursuit of inclusivity. In addition, the article examines …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 2, 2023 · pp. 24–36 Read article
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Artificial Intelligence Techniques for Image Dehazing: A Review
Abstract: This review explores the application of artificial intelligence (AI) techniques for image dehazing, addressing the pervasive challenge of enhancing image quality in hazy or foggy conditions. Traditional dehazing methods and their role as a foundation for AI-based approaches are discussed. Deep learning-based methods, including single-image and multi-image dehazing, are examined, highlighting their strengths and limitations. Data-driven approaches, leveraging large-scale datasets and domain adaptation, are also investigated. Furthermore, the review outlines …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 26–30 Read article
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Polymer Use in Soilless Farming Systems with A Comparative Study on Hydroponics and Aquaponics
Abstract: Hydroponics and aquaponics are innovative, sustainable agricultural methods that achieve high productivity with minimal land and water usage in controlled environments. Hydroponics, a technique that involves growing plants in nutrient-rich water solutions, utilizes various polymer-based components. Aquaponics, a symbiotic system combining aquaculture and hydroponics, also relies on polymer-based materials. These soilless techniques are crucial for producing vegetables, fruits, and other crops without relying on soil, allowing adaptability across various locations. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 868–874 Read article
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Suraksha Sathi: An Innovative SOS Application for Personal Safety
Abstract: Even in this increasingly connected age, personal safety is still of utmost importance. A smartphone software called Suraksha Sathi makes use of cutting-edge technology to improve user safety. Its SOS function uses geolocation to determine the precise location of users, facilitating prompt replies from people and emergency agencies. It is built using flutter and dart and includes REST APIs for data sharing, location services APIs, and Google Maps. The development …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 27–40 Read article
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Data Representation and Abstraction in Computer Systems: An Interactive Study
Abstract: Data abstraction simplifies data, while data representation stores or encodes it. Data abstraction in programming involves constructing a data type that hides data representation. This lets consumers concentrate on the data’s primary features rather than its implementation. Data abstraction is common in object-oriented programming and database administration. Computers store data in binary format. The smallest binary unit is a bit, or “binary digit”. Bytes typically have eight bits. Data abstraction …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 22–31 Read article
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Zero Energy Cool Chamber (ZECC): A Unique Low-cost Food Preservation System
Abstract: Zero energy cool chamber (ZECC) is an environment friendly or eco-friendly and low-cost post-harvest technology which can be made up with locally available low-cost materials like brick, sand etc. For this reason, it can easily be constructed in rural and remote areas. It is mainly used to store fruits and vegetables. It does not need any electricity, that is why it also saves energy. Temperature and humidity are two important …
Published in Research & Reviews : Journal of Agricultural Science and Technology Read article
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Simulation and Experimental Analysis of Abuse Testing for Prediction of Life Cycle for Lithium Ion Battery Cell and Pack Level
Abstract: Lithium-ion batteries play a crucial role in contemporary technology, serving as the power source for everything from consumer gadgets to electric vehicles. However, their safety and longevity are significant influenced by the reperformance under extreme conditions, commonly referred to as ab use testing .This paper explores the simulation and analysis of ab use testing and life cycle prediction for lithium-ion batteries at both the cell and pack levels. Abuse testing …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 1–24 Read article
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Self-Navigating Rover for Real Time Mapping and Disaster Management
Abstract: This paper presents the development of an autonomous rover designed for mapping and object detection in challenging terrains. The rover integrates a 6-wheel rocker-bogie mechanism for enhanced mobility and stability, making it suitable for rugged and uneven environments. Key components include an Arduino Uno for control operations, a Camera module for real-time visual data capture and object detection, and a LiDAR for precise distance measurement and spatial mapping. The system …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 23–33 Read article
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The Current State of Huntington's Disease Treatment: An Overview of Palliative Care and Symptom Management
Abstract: Huntington's disease (HD) is a neurodegenerative ailment that adversely affects the basal ganglia and the cortex of the brain. Although there is no recognized cure for HD, symptomatic relief and therapeutic management of the condition have improved over the course of time. This review paper provides an up-to-date overview of the current treatment options and symptom management strategies utilized in the care of HD patients. Additionally, it highlights the existing …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 1, 2023 Read article
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Scaling of Machine Learning Techniques in Medical Imagining and Biomedical Applications Concerning Healthcare
Abstract: Machine learning refers to a field within computer science enabling computers to learn without explicit programming. Stemming from artificial intelligence's study of pattern recognition and computational learning theory, machine learning develops algorithms capable of learning from vast datasets and making predictions. Its applications span diverse computing tasks like email filtering, network intrusion detection, optical character recognition, and computer vision, where conventional algorithm design proves challenging. Notably, in computer vision, a …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 41–44 Read article
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Improving Node Efficiency in Wireless Sensor Networks Using Advanced Clustering and Routing Techniques
Abstract: Many Internet of Things (IoT) applications, such as disaster relief, smart buildings, smart farming, and healthcare monitoring, have made use of wireless sensor networks (WSN). It is one of the alternatives to address different IoT difficulties in different contexts. One of the main problems with sensor networks is power efficiency. WSN operated on the Client-Server (CS) architecture in the past, however researchers suggested Mobile Agent (MA) based WSN to increase …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 35–64 Read article
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Seismic Analysis of G+30 RCC Frmaed Structure and Use of R.C Jacketing
Abstract: In high-rise buildings, such as G+30 reinforced concrete (RCC) framed structures, key concerns during seismic events include maintaining structural integrity, preventing catastrophic collapse, and ensuring the safety of occupants. Seismic retrofitting is a vital process aimed at enhancing the resilience of such buildings and infrastructure against earthquake forces, by strengthening their ability to withstand seismic activity. This abstract provides an overview of numerous seismic retrofitting projects implemented worldwide, focusing on …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 20–37 Read article
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Harnessing IoT and Sensor Technologies for Smart Agriculture: A Path Towards Viksit Bharat
Abstract: The integration of Internet of Things (IoT) and sensor technologies is redefining the landscape of Indian agriculture, serving as a catalyst for achieving the ambitious vision of Viksit Bharat (Developed India). Indian agriculture faces significant challenges such as resource scarcity, climate variability, and fragmented supply chains, which hinder productivity and sustainability. IoT-based solutions offer innovative approaches to address these critical issues by enabling smart irrigation systems, real-time field monitoring, precision …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 38–45 Read article
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AI Application in the Creation of Medications for COPD
Abstract: The crippling lung condition known as chronic obstructive pulmonary disease (COPD) is typified by a continuous restriction of airflow, which results in increased respiratory dysfunction and a reduced quality of life. The rising incidence of COPD worldwide emphasizes the pressing need for innovative pharmaceutical approaches to address the illness. Even though COPD care has advanced significantly, most current medications concentrate on symptom relief rather than disease change. This gap in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 01–05 Read article
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From Carbon to Composites: Evolution and Trends in Supercapacitor Technology
Abstract: Supercapacitors, also referred to as ultracapacitors, have become a crucial component in the landscape of energy storage technologies. They effectively bridge the gap between conventional capacitors and batteries, offering unique advantages such as high power density, rapid charge/discharge rates, and exceptional cycle life. These characteristics make supercapacitors indispensable for a wide range of applications, including consumer electronics, automotive systems, and renewable energy systems. This comprehensive review explores the evolution of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 61–67 Read article