Sagarkumar Patel – författare
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5 produkter
5 produkter
E-bok
PDF, Engelska, 202316 kr
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Academic Paper in the subject Computer Sciences - Cryptocurrency, , language: English, abstract: As we are moving forward to digital era and so is the world of collectibles. Just as everyone believed that the Bitcoins are the digital answer to currency, NFTs are believed to be the digital answer for collectibles. This paper will provide a simplified version of what actually is NFT (Non-Fungible Tokens), followed by theoretical and practical knowledge of applications of NFTs in Real world as well as Metaverse. Additionally, we offer generalizable details about the advantages and difficulties of NFTs, as well as the repercussions for both academics and practitioners.
E-bok
PDF, Engelska, 202319 kr
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Academic Paper from the year 2023 in the subject Computer Science - Miscellaneous, , language: English, abstract: Imagine a world where a simple chest X-ray could instantly detect COVID-19, offering a lifeline during a global health crisis. This compelling exploration delves into the groundbreaking application of deep learning and artificial intelligence, specifically convolutional neural networks (CNNs), to revolutionize COVID-19 diagnosis through medical image analysis. As the pandemic strained traditional testing methods like PCR, the urgent need for rapid, accessible diagnostic tools became paramount. This review article meticulously examines the potential of CNNs to analyze chest X-ray and CT-scan images, offering a faster and more cost-effective alternative. Explore a comparative analysis of various deep learning approaches, evaluating their accuracy and efficiency in detecting the virus. Discover how these sophisticated algorithms learn to identify subtle patterns indicative of COVID-19, paving the way for quicker diagnoses and more effective pandemic response strategies. From the initial outbreak in Wuhan to the devastating second wave, witness the evolution of AI-powered diagnostic tools and their crucial role in combating the global health crisis. This article not only highlights the limitations of current methods but also illuminates the future scope of artificial intelligence in pandemic preparedness. Uncover the innovative techniques, evaluation parameters, and future directions shaping the intersection of deep learning and medical imaging. Join the quest to harness the power of technology in the fight against infectious diseases, and witness the potential of AI to transform healthcare. This is more than just image classification; it's a critical step towards a more resilient and responsive global healthcare system, offering hope in the face of unprecedented challenges using cutting-edge tools such as deep learning, convolutional neural networks, chest X-rays, and CT-scans. The study further scrutinizes data availability and the precise search strategies employed to create these robust AI models.
E-bok
PDF, Engelska, 2024142 kr
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Essay from the year 2024 in the subject Engineering - Power Engineering, , language: English, abstract: Considering industrialization on increasing pace and an increasing number of automobiles, proper management of parking has become an urgent issue. Traditional parking arrangements frequently cause traffic jams, wasted time as well as increased pollution. In response, smart technology integration has been recognized as a promising approach for optimizing parking space use and improving overall user convenience. This study introduces a revolutionary method to smart parking systems that incorporates solar charging capabilities, increasing sustainability, and minimizing reliance on electricity. The need for parking lots in urban centers has significantly increased in recent years due to the combination of rapidly increasing urbanization and exponential expansion in the popularity of automobiles. Conventional parking management systems frequently fail to make the most use of the space that is available, which causes traffic jams, higher emissions, and general annoyance for both vehicles and city residents. The incorporation of advanced technology into parking lots has surfaced as a viable approach to tackle these difficulties, providing improved user experience, real-time monitoring, and optimization. Solar power integration is one creative way to improve the sustainability and usability of smart parking systems. The use of solar energy has grown as a sustainable and green substitute for conventional grid electricity. It can power different parking infrastructure components and lessen the need for non-renewable energy sources. By utilizing vacant area for producing electricity, solar panel integration into parking buildings offers a chance to improve the sustainability and overall efficiency of urban surroundings. This research study looks at the consequences, advantages, difficulties, and new developments around the incorporation of solar electricity into smart parking systems. This review aims to provide information about the state-of-the-art breakthroughs in powered by sunlight automated parking systems and their ability to alter urban transportation and sustainability by integrating current investigations, case studies, and technology advancements.
E-bok
PDF, Engelska, 2024142 kr
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Academic Paper in the subject Engineering - Robotics, , language: English, abstract: This paper's goal is to give a concise overview of the various development streams that have led to the current status of the UGV area. Any piece of mechanized equipment that moves on the ground and is used to carry or transport something, but expressly does not carry a human body is considered a UGV in the broadest "e;dictionary"e; sense. Unmanned Vehicles are the common part of Military campaigns that reduce the load of soldiers. UVs (Unmanned vehicles) equipped with sensors, sonar, cameras and various algorithms provide real-time information which is helpful for the commanders to take quick decisions. Also, they provide access to the inaccessible areas in the enemy s territory. They are used in search operations as well as in the rescue operations. They provide day and night vision which is fed to their artificial intelligence pre-trained algorithms that predicts the output to give information. Multiple robots can be combined to increase their working efficiency in the adverse environments. Unmanned vehicles are ones that are in close proximity to the ground and run without the assistance of a human operator. The sensors on Unmanned Ground Vehicles comprise the operating system for research and rescue. The robot is a significant entity in this context because it can mimic team characteristics like collaboration and communication while acting independently and intelligently. UGVs are more efficient in combating terrorism and in remote locations. Unmanned Ground Vehicles help and enhance the front-line soldier positions. This robot's ability is mostly contingent on keeping the soldiers safe or, at the absolute least, reducing the amount of casualties sustained during combat.
E-bok
PDF, Engelska, 2024192 kr
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Academic Paper from the year 2024 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: Our book provides a succinct summary of Artificial Intelligence applications across multiple Very-Large-Scale Integration (VLSI) design flow and testing domains. One technique of fabrication, CMOS technology, is where the evolution of VLSI begins. Complementary Metal Oxide Semiconductor (CMOS) offers numerous advantages but to pack high number of Integrated Circuits (ICs) in compact geometries, VLSI enters into picture. We can design VLSI using Computer Aided Tools like Electronic Design Automation (EDA). VLSI design consists of two primary parts: the front end and the back end. Fabrication procedures such as Architectural Design, Gate Level Design, Simulation, Hardware Descriptive Language (HDL), Circuit Level Design, Verification, and Fabrication are included at the back end. Descriptive languages for hardware are the main emphasis of front end. HDL is essential to system design use because it enables the behavior of the core system to be verified and modelled prior to the design being converted by synthesis tools into physical hardware, such as gates and wires. Different chemical and physical processes are needed for the backend operations. It is possible to create Artificial Intelligence algorithms that aid in raising the yield of physical processes. Artificial Intelligence and Machine Learning (AI-ML) algorithms assist in predicting parametric yield at the device level. Furthermore AI-ML algorithms are implemented at the gate level to analyse the total latency of the gate connection. Also, AI-ML algorithms can be used at the circuit level to maximize the performance of circuits. A combination of AI-ML algorithms in EDA tools allows for the examination of propagation delay, power leakage, etc. During lithography, transfer learning can be used to produce data. Effective testing becomes a crucial task as electronic systems and components becoming more complex, striking a balance between the need for high quality and cost effectiveness. In spite of its labour-intensive nature, testing has become a critical technique for cutting total costs in the production of electronic systems, boards, and VLSI chips. It plays a critical role in ensuring that VLSI design satisfy quality requirement by identifying circuit faults. In order to handle the complexity of contemporary systems, recent developments have incorporated machine learning (ML) and artificial intelligence (AI) into established VLSI testing techniques.