This study aims to improve the performance of organic to recyclable waste through deep learning techniques. Negative impacts on environmental and Social development have been observed relating to the poor waste segreg...
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Multi-user Augmented Reality (MuAR) allows multiple users to interact with shared virtual objects, facilitated by exchanging environment information. Current MuAR systems rely on 3D point clouds for real-world analysi...
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The development of Deepfakes has become more prevalent with the rise of Generative Adversarial Networks (GANs). Deepfakes are synthetically created, modified images that have been made to look real;they pose severe so...
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The surge in 3D modelling has led to a pronounced research emphasis on the field of 3D shape *** contemporary approaches have been put forth to tackle this intricate ***,effectively addressing the intricacies of cross...
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The surge in 3D modelling has led to a pronounced research emphasis on the field of 3D shape *** contemporary approaches have been put forth to tackle this intricate ***,effectively addressing the intricacies of cross-modal 3D shape retrieval remains a formidable undertaking,owing to inherent modality-based *** authors present an innovative notion—termed“geometric words”—which functions as elemental constituents for representing entities through *** establish the knowledge graph,the authors employ geometric words as nodes,connecting them via shape categories and geometry ***,a unique graph embedding method for knowledge acquisition is ***,an effective similarity measure is introduced for retrieval ***,each 3D or 2D entity can anchor its geometric terms within the knowledge graph,thereby serving as a link between cross-domain *** a result,the authors’approach facilitates multiple cross-domain 3D shape retrieval *** authors evaluate the proposed method's performance on the ModelNet40 and ShapeNetCore55 datasets,encompassing scenarios related to 3D shape retrieval and cross-domain ***,the authors employ the established cross-modal dataset(MI3DOR)to assess cross-modal 3D shape *** resulting experimental outcomes,in conjunction with comparisons against state-of-the-art techniques,clearly highlight the superiority of our approach.
Artificial neural networks are capable of machine learning by simulating the hiera rchical structure of the human *** enable learning by brain and machine,it is essential to accurately identify and correct the predict...
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Artificial neural networks are capable of machine learning by simulating the hiera rchical structure of the human *** enable learning by brain and machine,it is essential to accurately identify and correct the prediction errors,referred to as credit assignment(Lillicrap et al.,2020).It is critical to develop artificial intelligence by understanding how the brain deals with credit assignment in neuroscience.
Federated Learning (FL), an emerging distributed Artificial Intelligence (AI) technique, is susceptible to jamming attacks during the wireless transmission of trained models. In this letter, we introduce a jamming att...
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Epileptic seizures are a significant agony for those who suffer from them. Epileptic studies primarily focus on understanding the abnormal behavior of brain signals. Detecting seizures in EEG signals manually is a ver...
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Spatial modulation Orthogonal Frequency Division Multiplexing (SM OFDM) is a newly developed transmission technique that has been proposed as an alternative for multiple input multiple output (MIMO)-OFDM transmission....
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With the growing popularity of the Internet, digital images are used and transferred more frequently. Although this phenomenon facilitates easy access to information, it also creates security concerns and violates int...
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In cognitive science, the term confusion is used to capture the decline in learners’ cognitive ability, which affects their ability to think, solve a problem, learn and understand. Unlike classroom education, in onli...
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