Breast cancer is a leading cause of morbidity for women all over the world, BC, or breast cancer, affects many women globally. It ranks fourth in fatality among colon, brain, and cervical malignancies. New BC cases ar...
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RIFE is a breakthrough in real-time video frame interpolation, introducing the IFNet neural network to estimate intermediate flows directly and efficiently. By avoiding the complexities of bidirectional optical flow e...
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Recent advancements in artificial intelligence have paved the way for the metaverse to become an imminent reality. Within this virtual world, people can buy and sell virtual assets, meet up with friends, purchase good...
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ISBN:
(纸本)9798331533311
Recent advancements in artificial intelligence have paved the way for the metaverse to become an imminent reality. Within this virtual world, people can buy and sell virtual assets, meet up with friends, purchase goods, and attend event, all while using biometric traits for secure and seamless authentication. Iris recognition has become a highly prevalent method for human authentication due to its robustness and effectiveness. Despite its widespread use, these systems are vulnerable to various security threats, particularly when attackers use biometric replicas to impersonate legitimate users-commonly known as biometric cloning. To counteract such cloning attempts, an anti-cloning subsystem is incorporated with the sensor, enabling intelligent differentiation between genuine and clone iris traits. In this research, we present MetaIClone, a hybrid iris clone detection (ICD) system designed for secure identification within the metaverse. MetaIClone integrates the powerful features of two handcrafted feature extractors namely histogram of oriented gradient (HoG) and binary statistical image feature (BSIF), with the extracted feature vectors subsequently classified using two distinct support vector machines (SVMs). The final decision is achieved through score-level fusion with a fine-tuned MobileNet V2 model. We evaluated MetaIClone using benchmark datasets, including iris liveness detection Notre Dame 2017 (LivDet ND17) and Notre Dame cosmetic lenses dataset 2015 (NDCLD-15). Additionally, we introduced a digital clone generation technique using a generative adversarial network (GAN) model and tested the system on this novel dataset. MetaIClone excels in known attack scenarios, achieving an average classification error rate (ACER) of 0. 0 2%, and performs well in unseen attack scenarios with an ACER of 0. 0 5%, delivering competitive results in crossdatabase evaluations. Overall, MetaIClone outperforms other ICD models, offering superior accuracy with high computational
The human face plays a significant role in interpreting emotional states. Most nonverbal communication between humans occurs through changes in facial expressions. People listen to music to lift their spirits, calm th...
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A metaverse is a rapidly evolving concept in the realm of virtual reality that refers to a network of three-dimensional virtual environments centered on social interaction. The word is widely used in futurism and scie...
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Currently, the microservice architecture is extensively employed in the creation and implementation of numerous time-sensitive, crucial, and expansive web services. Usually, these services are implemented on cloud pla...
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Satellite imagery plays a vital role in various fields, including agriculture, urban planning, disaster management, and environmental monitoring. Efficient and accurate classification of satellite images is essential ...
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The automatic retinal screening system (ARSS) is a valuable computer-aided diagnosis tool for healthcare providers and public health initiatives. The ARSS facilitates mass retinal screenings that analyse retinal image...
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Deduplication is a ubiquitous compression technique for cloud storage servers. It reduces storage and bandwidth requirements by avoiding duplicate copies of data. However, developing an encryption scheme for deduplica...
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Blockchain technology holds several exciting features such as security, decentralization, data integrity, access control, consent management, etc. The healthcare industry can reach its peak with the emergence of block...
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