Zion Tech Group

Tag: IoT

  • Connected e-Health: Integrated IoT and Cloud Computing by Sushruta Mishra Paperb

    Connected e-Health: Integrated IoT and Cloud Computing by Sushruta Mishra Paperb



    Connected e-Health: Integrated IoT and Cloud Computing by Sushruta Mishra Paperb

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    Connected e-Health: Integrated IoT and Cloud Computing by Sushruta Mishra Paper

    In today’s digital age, the healthcare industry is rapidly evolving with the adoption of innovative technologies. One such technology that is revolutionizing the healthcare sector is connected e-health, which combines the power of Internet of Things (IoT) and cloud computing to deliver efficient and effective healthcare services.

    Sushruta Mishra’s paper on Connected e-Health explores the integration of IoT devices and cloud computing in the healthcare ecosystem. The paper highlights how IoT devices such as wearable sensors, smart medical devices, and remote monitoring tools are generating vast amounts of data that can be analyzed and processed in real-time using cloud computing resources.

    By leveraging the capabilities of cloud computing, healthcare providers can store, manage, and analyze patient data securely and efficiently. This enables healthcare professionals to make informed decisions, improve patient outcomes, and deliver personalized care to individuals.

    The paper also discusses the challenges and opportunities of implementing connected e-health solutions, such as data security, interoperability, and regulatory compliance. It emphasizes the importance of developing robust cybersecurity measures to protect patient data and ensure privacy.

    Overall, Sushruta Mishra’s paper sheds light on the potential of connected e-health to transform the healthcare industry by enabling seamless communication, remote monitoring, and personalized care delivery. It serves as a valuable resource for healthcare professionals, policymakers, and researchers looking to harness the power of IoT and cloud computing in healthcare.

    To learn more about Connected e-Health: Integrated IoT and Cloud Computing by Sushruta Mishra, be sure to check out the full paper for a comprehensive overview of this transformative technology in healthcare.
    #Connected #eHealth #Integrated #IoT #Cloud #Computing #Sushruta #Mishra #Paperb, Cloud Computing

  • Book: Secure and Smart Internet of Things (IoT) Using Blockchain and AI

    Book: Secure and Smart Internet of Things (IoT) Using Blockchain and AI



    Book: Secure and Smart Internet of Things (IoT) Using Blockchain and AI

    Price : 100.00

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    In today’s digital world, the Internet of Things (IoT) has become an integral part of our daily lives. From smart homes to connected cars, IoT devices are everywhere, making our lives more convenient and efficient. However, with the increasing number of connected devices, security and privacy concerns have also risen.

    In the book “Secure and Smart Internet of Things (IoT) Using Blockchain and AI,” author John Doe explores how blockchain and artificial intelligence (AI) can be combined to enhance the security and intelligence of IoT devices. By leveraging the decentralized and tamper-proof nature of blockchain technology, IoT devices can securely communicate and transact with each other without the need for a central authority.

    Furthermore, AI algorithms can be used to analyze the vast amounts of data generated by IoT devices, providing valuable insights and predictive analytics to improve efficiency and decision-making. By integrating blockchain and AI technologies, IoT devices can become more secure, intelligent, and autonomous.

    Whether you are a cybersecurity professional, IoT enthusiast, or simply interested in the intersection of technology and security, “Secure and Smart Internet of Things (IoT) Using Blockchain and AI” is a must-read book that will shed light on the future of connected devices. Dive into this insightful read and discover how blockchain and AI can revolutionize the way we interact with IoT devices.
    #Book #Secure #Smart #Internet #IoT #Blockchain

  • Ai-powered Iot for Covid-19, Paperback by Al-turjman, Fadi, Like New Used, Fr…

    Ai-powered Iot for Covid-19, Paperback by Al-turjman, Fadi, Like New Used, Fr…



    Ai-powered Iot for Covid-19, Paperback by Al-turjman, Fadi, Like New Used, Fr…

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    Title: AI-Powered IoT for Covid-19, Paperback by Al-Turjman, Fadi, Like New Used, Free Shipping

    Are you interested in learning more about how artificial intelligence and Internet of Things technology can be used to combat the Covid-19 pandemic? Look no further than “AI-Powered IoT for Covid-19” by Fadi Al-Turjman.

    This like-new, used paperback provides valuable insights into the intersection of AI, IoT, and healthcare, offering practical solutions for monitoring and controlling the spread of the virus. With free shipping included, this book is a must-have for anyone interested in the cutting-edge technology being used to fight the global health crisis.

    Don’t miss out on this opportunity to delve into the world of AI-powered IoT for Covid-19. Order your copy today!
    #Aipowered #Iot #Covid19 #Paperback #Alturjman #Fadi #Fr..

  • Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective by Meen

    Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective by Meen



    Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective by Meen

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    Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective by Meen

    In the rapidly evolving world of Industrial IoT 4.0, the potential for using machine learning algorithms to predict and prevent cancer is a promising application. With the vast amount of data generated by IoT devices in industrial settings, there is a wealth of information that can be utilized to improve early detection and treatment of cancer.

    Machine learning algorithms can analyze this data to identify patterns and trends that may indicate the presence of cancerous cells. By training these algorithms on large datasets of patient information and medical records, we can develop predictive models that can accurately predict the likelihood of cancer developing in an individual.

    By incorporating real-time data from IoT devices such as wearables, sensors, and monitoring systems, we can continuously update and improve these predictive models to provide personalized and targeted interventions for individuals at high risk of developing cancer.

    The potential impact of using machine learning in cancer prediction for Industrial IoT 4.0 is immense. By leveraging the power of data analytics and artificial intelligence, we can revolutionize the way we diagnose, treat, and prevent cancer, ultimately saving lives and improving outcomes for patients.

    Stay tuned for more updates on this exciting and groundbreaking research in the field of Industrial IoT 4.0 and cancer prediction.
    #Cancer #Prediction #Industrial #IoT #Machine #Learning #Perspective #Meen, machine learning

  • Souri – Artificial Intelligence for Internet of Things IoT and Heal – T9000z

    Souri – Artificial Intelligence for Internet of Things IoT and Heal – T9000z



    Souri – Artificial Intelligence for Internet of Things IoT and Heal – T9000z

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    Introducing Souri – Artificial Intelligence for Internet of Things IoT and Heal – T9000z

    Souri is the latest innovation in artificial intelligence technology designed specifically for the Internet of Things (IoT) industry. With its advanced algorithms and machine learning capabilities, Souri can analyze and process data from connected devices in real-time to optimize performance and efficiency.

    But that’s not all – Souri also works seamlessly with Heal – T9000z, a cutting-edge IoT device that monitors and tracks your health and wellness metrics. With Souri’s intelligent insights and Heal – T9000z’s monitoring capabilities, you can stay on top of your health and make informed decisions to improve your overall well-being.

    Say goodbye to guesswork and hello to the future of IoT and health technology with Souri and Heal – T9000z. Experience the power of artificial intelligence at your fingertips and take control of your health like never before.
    #Souri #Artificial #Intelligence #Internet #IoT #Heal #T9000z

  • Beginning Data Science, Iot, and Ai on Single Board Computers : Core Skills a…

    Beginning Data Science, Iot, and Ai on Single Board Computers : Core Skills a…



    Beginning Data Science, Iot, and Ai on Single Board Computers : Core Skills a…

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    Beginning Data Science, IoT, and AI on Single Board Computers: Core Skills and Tips

    Are you eager to dive into the world of data science, Internet of Things (IoT), and artificial intelligence (AI) but don’t know where to start? Single board computers (SBCs) like the Raspberry Pi, Arduino, and BeagleBone are excellent platforms for beginners to learn and experiment with these technologies.

    To begin your journey into data science, IoT, and AI on SBCs, here are some core skills and tips to keep in mind:

    1. Familiarize yourself with programming languages: Python is a popular language for data science, IoT, and AI projects due to its simplicity and versatility. Learn the basics of Python programming to get started.

    2. Understand data analysis and visualization: Data science involves collecting, cleaning, analyzing, and visualizing data to derive insights. Familiarize yourself with tools like pandas, NumPy, and Matplotlib for data manipulation and visualization.

    3. Explore machine learning and deep learning: Machine learning and deep learning are key components of AI. Start with basic machine learning algorithms like linear regression and logistic regression before diving into more complex models like neural networks.

    4. Learn about IoT concepts and protocols: Understand how IoT devices communicate with each other and the cloud using protocols like MQTT and HTTP. Experiment with sensors, actuators, and communication modules on your SBC.

    5. Experiment with projects: The best way to learn is by doing. Start small with simple projects like temperature monitoring using a sensor and gradually work your way up to more complex projects like image recognition using a camera module.

    6. Join online communities and forums: Connect with other enthusiasts and experts in the field through online communities and forums like Reddit, Stack Overflow, and GitHub. Ask questions, share your projects, and learn from others’ experiences.

    By mastering these core skills and tips, you’ll be well on your way to becoming proficient in data science, IoT, and AI on single board computers. So grab your SBC, roll up your sleeves, and start coding!
    #Beginning #Data #Science #Iot #Single #Board #Computers #Core #Skills #a..

  • Industrial Transformation (Advances in IoT, Robotics, and Cyber Physical Systems for Industrial Transformation)

    Industrial Transformation (Advances in IoT, Robotics, and Cyber Physical Systems for Industrial Transformation)


    Price: $180.00 – $144.00
    (as of Dec 29,2024 07:38:00 UTC – Details)




    Publisher ‏ : ‎ CRC Press; 1st edition (May 10, 2022)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 374 pages
    ISBN-10 ‏ : ‎ 1032133988
    ISBN-13 ‏ : ‎ 978-1032133980
    Item Weight ‏ : ‎ 1.36 pounds
    Dimensions ‏ : ‎ 0.83 x 6.14 x 9.21 inches


    Industrial Transformation: Embracing IoT, Robotics, and Cyber Physical Systems for a More Efficient Future

    In today’s rapidly evolving industrial landscape, companies are constantly looking for ways to enhance efficiency, productivity, and competitiveness. One of the key drivers of this transformation is the integration of cutting-edge technologies such as Internet of Things (IoT), robotics, and cyber physical systems.

    IoT, which enables devices to communicate and share data over the internet, is revolutionizing the way industrial processes are monitored and controlled. By connecting machines, sensors, and other equipment, companies can gather real-time data on performance, energy consumption, and maintenance needs, allowing for predictive maintenance and optimized operations.

    Robotics, on the other hand, is transforming the manufacturing sector by automating repetitive tasks, increasing precision, and improving safety. Collaborative robots, or cobots, are working alongside human workers in factories, warehouses, and other industrial settings, enhancing productivity and flexibility.

    Cyber physical systems, which integrate computational and physical processes, are enabling companies to create smart factories where machines, systems, and people interact seamlessly. These systems are improving decision-making, reducing downtime, and optimizing resource utilization.

    By leveraging these advanced technologies, companies can achieve a more streamlined and efficient industrial operation. From predictive maintenance to autonomous production lines, the possibilities are endless for those willing to embrace the industrial transformation.

    Are you ready to take your business to the next level with IoT, robotics, and cyber physical systems? Join the revolution and stay ahead of the competition in this fast-paced industry. Let’s shape the future of industrial transformation together.
    #Industrial #Transformation #Advances #IoT #Robotics #Cyber #Physical #Systems #Industrial #Transformation,rnn

  • Smart Agritech: Robotics, AI, and Internet of Things (IoT) in Agriculture by San

    Smart Agritech: Robotics, AI, and Internet of Things (IoT) in Agriculture by San



    Smart Agritech: Robotics, AI, and Internet of Things (IoT) in Agriculture by San

    Price : 337.99

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    Agriculture has come a long way from traditional farming methods, thanks to the integration of cutting-edge technologies such as robotics, artificial intelligence (AI), and the Internet of Things (IoT). These technologies have revolutionized the way we grow crops, raise livestock, and manage agricultural operations.

    Robotics in agriculture have enabled farmers to automate tasks such as planting, weeding, and harvesting, leading to increased efficiency and productivity. AI algorithms can analyze data from sensors and cameras to provide insights on crop health, soil moisture levels, and pest infestations, helping farmers make informed decisions. IoT devices such as smart sensors and drones can monitor environmental conditions in real-time and enable remote control of farming equipment, reducing labor costs and improving crop yields.

    Smart Agritech is not just about increasing productivity, but also about sustainability and environmental conservation. By using precise data analytics and automation, farmers can optimize resource usage, reduce waste, and minimize the negative impact on the environment. This is crucial in a world where agriculture is facing challenges such as climate change, water scarcity, and soil degradation.

    As we move towards a more connected and technology-driven future, Smart Agritech will play a key role in ensuring food security and sustainability. By harnessing the power of robotics, AI, and IoT, farmers can overcome the challenges of traditional agriculture and pave the way for a more efficient, productive, and sustainable food production system.

    So, if you are a farmer or a stakeholder in the agriculture industry, it’s time to embrace Smart Agritech and leverage the power of robotics, AI, and IoT to transform your operations. The future of agriculture is here, and it’s smarter than ever before.
    #Smart #Agritech #Robotics #Internet #IoT #Agriculture #San

  • Big Data, Cloud Computing and IoT: Tools and Applications (Hardback or Cased Boo

    Big Data, Cloud Computing and IoT: Tools and Applications (Hardback or Cased Boo



    Big Data, Cloud Computing and IoT: Tools and Applications (Hardback or Cased Boo

    Price : 124.64 – 103.87

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    Big Data, Cloud Computing and IoT: Tools and Applications

    Are you interested in learning more about the latest tools and applications in the world of Big Data, Cloud Computing, and IoT? Look no further than this comprehensive book that covers everything you need to know about these cutting-edge technologies.

    In this hardback or cased book, you will find detailed information on the latest tools and technologies used in the field of Big Data, Cloud Computing, and IoT. From data analytics and machine learning to cloud storage and IoT devices, this book covers it all.

    Whether you are a beginner looking to learn more about these technologies or an experienced professional looking for the latest updates and advancements, this book has something for everyone. So don’t wait any longer, get your hands on this essential resource today and stay ahead of the curve in the world of Big Data, Cloud Computing, and IoT.
    #Big #Data #Cloud #Computing #IoT #Tools #Applications #Hardback #Cased #Boo, Cloud Computing

  • New Trends and Applications in Internet of Things (IoT) and Big D

    New Trends and Applications in Internet of Things (IoT) and Big D



    New Trends and Applications in Internet of Things (IoT) and Big D

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    ata

    The Internet of Things (IoT) and Big Data are two rapidly evolving technologies that are revolutionizing the way we interact with the world around us. From smart homes and wearable devices to industrial automation and smart cities, IoT and Big Data are driving innovation and transforming industries.

    One of the latest trends in IoT is the convergence of IoT and artificial intelligence (AI). By combining IoT sensors with AI algorithms, companies are able to gather and analyze vast amounts of data in real-time, enabling them to make more informed decisions and improve operational efficiency. For example, AI-powered IoT devices can predict equipment failures before they occur, optimize energy usage in buildings, and even help doctors diagnose medical conditions more accurately.

    Another emerging trend in IoT is edge computing, where data is processed and analyzed closer to where it is generated, rather than being sent to a central server. This allows for faster response times, reduces latency, and lowers the burden on network bandwidth. Edge computing is particularly useful in applications such as autonomous vehicles, where split-second decisions are critical for safety.

    In the world of Big Data, one of the newest applications is the use of data lakes. Data lakes are large repositories of raw, unstructured data that can be accessed and analyzed by data scientists and analysts. By storing all types of data in one centralized location, organizations can gain deeper insights and uncover hidden patterns that may not be apparent in traditional databases.

    Another trend in Big Data is the increasing use of machine learning and predictive analytics. By leveraging advanced algorithms, companies can forecast future trends, identify potential risks, and optimize business processes. For example, retailers can use predictive analytics to anticipate customer demand and adjust inventory levels accordingly, while healthcare providers can use machine learning to predict patient outcomes and personalize treatment plans.

    Overall, the combination of IoT and Big Data is driving innovation across industries and enabling organizations to operate more efficiently, make better decisions, and deliver more personalized experiences to customers. As these technologies continue to evolve, we can expect to see even more exciting applications and advancements in the near future.
    #Trends #Applications #Internet #IoT #Big

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