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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Academic Paper in the subject Engineering - Automotive Engineering, , language: English, abstract: Smart cars are the future of the developing world. With advancement in research in different sectors of car features, safety and securities can be provided to the costumers. This paper comprises an automatic cleaning system robot, the accident technology in smart cars and their automatic parking features. In addition, the IoT (Internet of Things) will be included in the research.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 'dictionary' 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.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Academic Paper from the year 2024 in the subject Engineering - Computer Engineering, , language: English, abstract: This review paper provides an overview of the Internet of Things (IoT) in healthcare, focusing on its applications and challenges. IoT has transformed healthcare through the introduction of remote patient monitoring, wearables, telemedicine and the Internet of Medical Things (IoMT). These applications offer unprecedented opportunities for improving patient care, enhancing medical diagnostics and increasing accessibility to healthcare services. Despite the numerous benefits, IoT in healthcare also faces several challenges. Overcoming these obstacles is critical to realizing the full promise of IoT in healthcare and ensuring its safe and effective implementation. This review discusses strategies and technologies to overcome security and privacy issues, manage data overload, and improve internet connectivity, enabling a better connected more effective healthcare environment.

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Taschenbuch. Zustand: Neu. Neuware -Academic Paper in the subject Engineering - Automotive Engineering, , language: English, abstract: Smart cars are the future of the developing world. With advancement in research in different sectors of car features, safety and securities can be provided to the costumers. This paper comprises an automatic cleaning system robot, the accident technology in smart cars and their automatic parking features. In addition, the IoT (Internet of Things) will be included in the research.Books on Demand GmbH, Überseering 33, 22297 Hamburg 20 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Technical Report from the year 2014 in the subject Computer Science - Technical Computer Science, , language: English, abstract: This is Laboratory Manual of Digital Signal Processing. All experiments are performed on MATLAB, e.g.:List of Experiments1 To represent basic signals like:Unit Impulse, Ramp, Unit Step, Exponential.2 To generate discrete sine and cosine signals with given sampling frequency.3 To represent complex exponential as a function of real and imaginary part.4 To determine impulse and step response of two vectors using MATLAB.5 To perform convolution between two vectors using MATLAB.6 To perform cross correlation between two vectors using MATLAB.[.].

Taschenbuch. Zustand: Neu. Neuware -Academic Paper from the year 2024 in the subject Engineering - Computer Engineering, , language: English, abstract: This review paper provides an overview of the Internet of Things (IoT) in healthcare, focusing on its applications and challenges. IoT has transformed healthcare through the introduction of remote patient monitoring, wearables, telemedicine and the Internet of Medical Things (IoMT). These applications offer unprecedented opportunities for improving patient care, enhancing medical diagnostics and increasing accessibility to healthcare services. Despite the numerous benefits, IoT in healthcare also faces several challenges. Overcoming these obstacles is critical to realizing the full promise of IoT in healthcare and ensuring its safe and effective implementation. This review discusses strategies and technologies to overcome security and privacy issues, manage data overload, and improve internet connectivity, enabling a better connected more effective healthcare environment.Books on Demand GmbH, Überseering 33, 22297 Hamburg 20 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -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 'dictionary' 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. 20 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Academic Paper from the year 2023 in the subject Computer Science - Miscellaneous, , language: English, abstract: The coronavirus disease 2019 (COVID-19), as designated by the World Health Organization, is causing a pandemic that will affect the entire world. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, which is the source of COVID-19, was first identified in late December 2019 in Wuhan, China. Within a few months, the virus had spread to various countries across the world. Because COVID-19 affects millions of individuals worldwide, it has turned into a global health emergency.The most typical symptoms of COVID-19 virus are fever, a dry cough, and gastrointestinal issues. Being extremely contagious, the illness readily spreads to persons in close touch with those who are infected. Contact tracking is a good way to stop the virus from spreading, according to us. Convolutional neural networks (CNNs) in particular have achieved successful outcomes in the categorization and analysis of medical image data using artificial intelligence (AI) approaches.This survey and research proposes a deep CNN architecture for the diagnosis of COVID-19 based on the classification of chest X-ray and CT-Scan images. This review article explains how to use a database of X-ray and CT-Scan images from patients with common bacterial pneumonia to automatically diagnose coronavirus infection., proven Covid-19 infection, and common cases. The study's objective was to assess the value of COVID-19 acquisition. Globally speaking, the number of infected cases increases dramatically in the COVID-19 scenario. Because of this, medical professionals and infected patients made the crucial option to quickly embrace various medical facilities.

Taschenbuch. Zustand: Neu. Neuware -Academic Paper from the year 2023 in the subject Computer Science - Miscellaneous, , language: English, abstract: The coronavirus disease 2019 (COVID-19), as designated by the World Health Organization, is causing a pandemic that will affect the entire world. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, which is the source of COVID-19, was first identified in late December 2019 in Wuhan, China. Within a few months, the virus had spread to various countries across the world. Because COVID-19 affects millions of individuals worldwide, it has turned into a global health emergency.The most typical symptoms of COVID-19 virus are fever, a dry cough, and gastrointestinal issues. Being extremely contagious, the illness readily spreads to persons in close touch with those who are infected. Contact tracking is a good way to stop the virus from spreading, according to us. Convolutional neural networks (CNNs) in particular have achieved successful outcomes in the categorization and analysis of medical image data using artificial intelligence (AI) approaches.This survey and research proposes a deep CNN architecture for the diagnosis of COVID-19 based on the classification of chest X-ray and CT-Scan images. This review article explains how to use a database of X-ray and CT-Scan images from patients with common bacterial pneumonia to automatically diagnose coronavirus infection., proven Covid-19 infection, and common cases. The study's objective was to assess the value of COVID-19 acquisition. Globally speaking, the number of infected cases increases dramatically in the COVID-19 scenario. Because of this, medical professionals and infected patients made the crucial option to quickly embrace various medical facilities. 28 pp. Englisch.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.

Taschenbuch. Zustand: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 48 pp. Englisch.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Technical Report from the year 2014 in the subject Computer Science - Technical Computer Science, , language: English, abstract: This is Laboratory Manual of Digital Signal Processing. All experiments are performed on MATLAB, e.g.:List of Experiments 1 To represent basic signals like:Unit Impulse, Ramp, Unit Step, Exponential. 2 To generate discrete sine and cosine signals with given sampling frequency. 3 To represent complex exponential as a function of real and imaginary part. 4 To determine impulse and step response of two vectors using MATLAB. 5 To perform convolution between two vectors using MATLAB. 6 To perform cross correlation between two vectors using MATLAB. [.].

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