Edge detection is a significant stage in different image processing operations like pattern recognition, feature extraction, and computer vision. Although the Canny edge detection algorithm which exhibits high precision is computationally more complex contrasted to other edge detection methods. Due to the traditional Canny algorithm uses the Gaussian filter, which gives the edge detail represents blurry also its effect in filtering salt-and-pepper noise is not good. To resolve this problem, we utilized the median filter to maintain the details of the image and eliminate the noise. This paper presents implementing and also enhancing the accuracy of Canny edge detection for noisy images. Results present that this proposed method can definitely overcome noise disorders, preserve the edge useful data, and likewise enhance the edge detection precision.

Ensuring network security and data privacy in the healthcare sector within the context of 6G technology is of paramount importance. As 6G promises advanced connectivity and capabilities, this chapter discusses challenges for safeguarding patient information and healthcare systems. 6G technology is poised to bring about groundbreaking changes in the healthcare sector with its lightning-fast speeds, minimal latency, and advanced capabilities. The Internet of Medical Things (IoMT) will flourish with 6G, enabling constant monitoring through wearables, smart implants, and sensors, ensuring real-time data transmission to healthcare providers. 6G’s robust data rates support holographic imaging, revolutionizing medical imaging, diagnostics, and surgical planning by offering detailed three-dimensional insights. 6G combined with AI can expedite and refine medical diagnoses by swiftly processing large volumes of healthcare data, empowering healthcare professionals with more informed decisions. It can support immersive virtual and augmented reality experiences for patient education, therapy, and medical training, enhancing patient care and training methods. It expedites drug discovery through swift data analysis, simulations, and efficient research collaboration among institutions and researchers globally. 6G empowers smart, interconnected hospitals with real-time monitoring of patients, staff, and equipment, leading to improved efficiency and patient care. The SHA 256 blockchain encryption model was employed in this chapter for the encryption of medical images. The validation of the encryption model was done by performance metrics. <!----> <!----> <!----> <!---->

Throughout human history, many significant advancements have emerged thanks to the efforts of great scholars such as Pythagoras, Da Vinci, Newton, Leibniz, Edison, Bell, and numerous others who laid the groundwork for scholarly communities and universities. Human intelligence has been a vital pillar of cultural evolution, technological innovation, and academic education. Classical scholars educated their apprentices individually, utilizing simple tools that eventually evolved into the pencil and paper we know today. Many scholars and educators today agree that the current generation of learners may lack either the ability or motivation to learn without smart devices. However, the process of learning and enhancing natural intelligence remains fundamentally similar to how it occurred many centuries ago. The principles of natural intelligence have inspired numerous scholars and researchers to develop tools for machine intelligence. Significant early advancements in computing included the first machines capable of performing simple calculations, such as adding 1 + 1 to equal 2. This chapter emphasizes the author's academic contributions. It offers a unified overview of the book's main insights and explains how the application of AI is revolutionizing modern educational practices and learning processes for today's Cyber Nomad generation of learners. The authors outline the epistemic layers that determine the legitimacy of AI in educational contexts. Given the geopolitical tensions and misinformation, this chapter emphasizes significant existential perspectives from renowned thinkers on AI while exploring the landscape for the coming decade. Central to the discussed landmarks are shifts in hermeneutics and belief systems that have shaped global acceptance of AI's semantic extrapolations, as illustrated by examples from OpenAI such as ChatGPT and ChatSonic. As recently proposed at the World Economic Forum and the U.S. Pentagon, users' awareness of the impact of metacognitive backgrounds is central to further AI evolution. From an architectural perspective, this is an opportune moment to advocate for nonsingular reflections. Predictions suggest that anthropomorphic imagination is a fleeting phenomenon likely to be overshadowed by metacognitive representations such as 'conceptual thinking' for aspiring professionals in industrial design and educational and vocational training policy considerations (Nijhof & Kommers, 1984).