Disabled people are of different kinds like physically challenged people, mentally challenged etc. To help the people who cannot convey their thoughts and who cannot hear others thoughts, sign language is being used t...
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Model Inversion (MI) attacks are a class of security threats targeting machine learning (ML) systems. These attacks aim to uncover sensitive information that was used to train the ML model, by either reconstructing th...
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A respiratory system combines a blower-hose-patient setup with a single lung system featuring nonlinear lung compliance. This paper explores the optimal design of resilient fuzzy control for such systems by integratin...
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In this work, we proposed a photosensor based on ZnO (Zinc Oxide) nanoparticles on a flexible substrate for light-induced automation. The large band gap and mobility of charge carriers in ZnO are harnessed to make a f...
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Visual computing is vital for numerous applications. In conventional visual computing systems, CMOS image sensors (CIS) act as pure imaging devices for capturing images, however, recent CIS designs increasingly integr...
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This paper addresses the challenge of developing a robust audio-visual deepfake detection model. In practical use cases, new generation algorithms are continually emerging, and these algorithms are not encountered dur...
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ISBN:
(数字)9798350387254
ISBN:
(纸本)9798350387261
This paper addresses the challenge of developing a robust audio-visual deepfake detection model. In practical use cases, new generation algorithms are continually emerging, and these algorithms are not encountered during the development of detection methods. This calls for the generalization ability of the method. Additionally, to ensure the credibility of detection methods, it is beneficial for the model to interpret which cues from the video indicate it is fake. Motivated by these considerations, we then propose a multi-stream fusion approach with one-class learning as a representation-level regularization technique. We study the generalization problem of audio-visual deepfake detection by creating a new benchmark by extending and re-splitting the existing FakeAVCeleb dataset. The benchmark con-tains four categories of fake videos (Real Audio-Fake Visual, Fake Audio-Fake Visual, Fake Audio-Real Visual, and Unsynchronized videos). The experimental results demonstrate that our approach surpasses the previous models by a large margin. Furthermore, our proposed framework offers interpretability, indicating which modality the model identifies as more likely to be fake. The source code is released at https://***/bok-bok/MSOC.
Context A reputable and reliable outlet for publication is an important component of building a research ecosystem. Currently, the engineering Education Research community in India is at a nascent stage, and lacks a w...
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ISBN:
(纸本)9781713893813
Context A reputable and reliable outlet for publication is an important component of building a research ecosystem. Currently, the engineering Education Research community in India is at a nascent stage, and lacks a world-renowned outlet for publication. The Journal of engineering Education Transformations (JEET), was established in 1985 to serve as an outlet for sharing narratives of educational transformations at engineering institutions in western India. For the past six years, the journal has itself undergone a transformation, from publishing a small set of case studies, to publishing peer-reviewed articles that range from engineering education research, to practice and even policy. As a result of this transformation, the number of submissions to the journal have skyrocketed over the last few years indicating the EER community's faith in the journal's quality and practices. This article aims to describe JEET's transformation and provides details of its inner workings including training programs such as a mentored reviewer program. The journal and the EER ecosystem in India, have a long way to go, and a discussion on JEET is necessary to engage the EER community. Purpose or Goal The goal behind submitting this article is to have a frank and open conversation on how operating procedures could be improved at the journal, how the EER community in India can benefit from adopting the journal and enabling its success, and to solicit innovative ideas on how the journal can best serve the needs of a growing ecosystem of engineering education researchers and scholarly teachers in India. A secondary goal is to involve the global EER community at large to help JEET in having an impact and presence beyond India. Methods The paper takes a simple narrative approach, with the journal editors presenting the history and growth of the journal, supported by statistics on number of submissions, time to review, time to publish etc. Outcomes The paper will showcase the journey of the
Diverse products have flooded so many markets today through unscrupulous vendors all in a bid to make outrageous profits. Hence, the need for products to be verified by extant bodies. There are several means for produ...
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Sparse auto-encoders are useful for extracting low-dimensional representations from high-dimensional data. However, their performance degrades sharply when the input noise at test time differs from the noise employed ...
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The leading cause of illness and mortality globally, heart disease is a serious global health problem. For successful prevention and intervention, timely and precise cardiac disease prediction is essential. Using the ...
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