Head and neck cancer is one of the most common cancers in the world. The automatic segmentation of head and neck tumors with the help of computer is of great significance for treatment. In the context of the MICCAI 20...
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Transmission tower inspections are essential for maintaining infrastructure integrity and ensuring the safety of electrical transmission systems. Traditionally, these inspections involve high-altitude assess...
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As technology is evolving and changing day by day many possibilities have become possible such as the development of smart and natural interface interactive systems between the user and computer using hand gestures. R...
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ISBN:
(数字)9789819725083
ISBN:
(纸本)9789819725076
As technology is evolving and changing day by day many possibilities have become possible such as the development of smart and natural interface interactive systems between the user and computer using hand gestures. Robots are trying these techniques to mimic humans and amaze everyone with the new technological advancement and innovations helping to make communication with smart machines easier. Also, the technology has the capabilities to be used in the medical industry for the distribution of hospital resources and help to reduce dependency on translators. Using such technology is also promoting the things which were considered impossible can be achieved now with the help of integration with AR/XR platforms and more futuristic technologies for better results. Gesture recognition is playing a major role in making life easier and smart for making our day-to-day tasks with the integration with IoT devices and cloud-based systems. The hand gesture recognition system is an example of a gesture recognition system that could help speech-impaired people to reduce their dependability on a translator for communicating their ideology. With the help of a hand recognition system, non-verbal communication can be easily achieved with the control of computers. With the help of technology interacting with humans becomes very easy and convenient. Further, the technology can be extended when combined with augmented reality, cloud computing, and IoT for more practicality and real-life implementation. With the help of AI and machine learning previous records can be maintained and further improved for increasing the overall experience of the user. The main objective of the system will give the system ability to perform different functions of computer and mouse cursor functions like drag and drop and webcam functionalities with the help of virtual mouse system functionality. Techniques like image recognition of deep learning are used for performing real-time tracking. The existing syste
The paper introduces the Cryptography Digital Ecosystem concept and de-scribes the rationale for its implementation. The authors have developed an ecosystem deployment manual and the paper indicates the tasks from the...
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A digital twin is a virtual representation of a physical object or system, created using computer simulations, data analytics, and other digital technologies. The goal of a digital twin is to provide a real-time, data...
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The use of MR images in medical image analysis from different centers in clinical applications and medical research has grown in popularity. However, challenges arise due to inherent variability between centers, leadi...
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Skin cancer (melanoma) prediction is a necessity for the society. But the early prediction of skin cancer is possible from its dermoscopic images, it often fails due to the visual similarity between different types of...
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The evaluation of food texture is an essential aspect of food quality control, directly influencing consumer acceptance and preference. Various methods have been developed to assess food texture, including sensory eva...
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The ancient Greeks possessed a deep understanding of geometry, reflected in their quest for proportion and harmony across various art forms, including Greek Vase design. This study explores the geometric ratios of Gre...
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It is well known that computer vision can be unreliable when faced with previously unseen imaging conditions. This paper proposes a method to adapt camera parameters according to a normalizing flow-based out-of-distib...
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