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of 3 899
pro vyhledávání: '"Suchi AT"'
This paper presents a deep learning framework for the multi-class classification of gastrointestinal abnormalities in Video Capsule Endoscopy (VCE) frames. The aim is to automate the identification of ten GI abnormality classes, including angioectasi
Externí odkaz:
http://arxiv.org/abs/2410.18457
With the growing prominence of the Mixture of Experts (MoE) architecture in developing large-scale foundation models, we investigate the Hierarchical Mixture of Experts (HMoE), a specialized variant of MoE that excels in handling complex inputs and i
Externí odkaz:
http://arxiv.org/abs/2410.02935
The rapid advancements in computer graphics have greatly enhanced the quality of computer-generated images (CGI), making them increasingly indistinguishable from authentic images captured by digital cameras (ADI). This indistinguishability poses sign
Externí odkaz:
http://arxiv.org/abs/2409.04742
\textbf{Purpose} This study aims to address the growing challenge of distinguishing computer-generated imagery (CGI) from authentic digital images in the RGB color space. Given the limitations of existing classification methods in handling the comple
Externí odkaz:
http://arxiv.org/abs/2409.04734
Autor:
Arquam, Md., Kumari, Suchi
Optimizing network throughput in real-world dynamic systems is critical, especially for diverse and delay-sensitive multimedia data types such as VoIP and video streaming. Traditional routing protocols, which rely on static metrics and single shortes
Externí odkaz:
http://arxiv.org/abs/2409.04724
The way the topological structure transforms from a decoupled to a coupled state in multiplex networks has been extensively studied through both analytical and numerical approaches, often utilizing models of artificial networks. These studies typical
Externí odkaz:
http://arxiv.org/abs/2408.05755
The movement changes the underlying spatial representation of the participated mobile objects or nodes. In real world scenario, such mobile nodes can be part of any biological network, transportation network, social network, human interaction, etc. T
Externí odkaz:
http://arxiv.org/abs/2407.18546
In recent years, the focus is on improving the diagnosis of diabetic retinopathy (DR) using machine learning and deep learning technologies. Researchers have explored various approaches, including the use of high-definition medical imaging, AI-driven
Externí odkaz:
http://arxiv.org/abs/2407.17755
An increasing number of classification approaches have been developed to address the issue of image rebroadcast and recapturing, a standard attack strategy in insurance frauds, face spoofing, and video piracy. However, most of them neglected scale va
Externí odkaz:
http://arxiv.org/abs/2407.17170
As artificial intelligence (AI) / machine learning (ML) gain widespread adoption, practitioners are increasingly seeking means to quantify and control the risk these systems incur. This challenge is especially salient when such systems have autonomy
Externí odkaz:
http://arxiv.org/abs/2405.06627