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Multimodal Deep Learning based Framework for Detecting Depression and Suicidal Behaviour by Affective Analysis of Social Media Posts [PDF]
EAI Endorsed Transactions on Pervasive Health and Technology, 2020 INTRODUCTION AND OBJECTIVES: Currently, no social media platform has deployed a real time system which can analyse users’ state of mind based on day to day posts on continual basis and detect the onset of depression, suicidal or self harming behaviour ...
Anshu Malhotra, Rajni Jindal
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Cybercrimes and Virtual Worlds: A Systematic Literature Review
Journal of Information Security and Cybercrimes Research, 2022 With the evolutions of the gaming industry and the increasing number of virtual worlds (e.g., Metaverse), these applications can be an excellent vector to commit cybercrimes.
Curcio Matteo
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A Multimodal Feature Fusion Framework for Sleep-Deprived Fatigue Detection to Prevent Accidents
Sensors, 2023 Sleep-deprived fatigued person is likely to commit more errors that may even prove to be fatal. Thus, it is necessary to recognize this fatigue. The novelty of the proposed research work for the detection of this fatigue is that it is nonintrusive and ...
Jitender Singh Virk +4 more
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Two improved content extraction signature schemes
网络与信息安全学报, 2017 Motivated by the idea of batch signatures,two variants of content extraction signature schemes based on commit vector and RSA respectively were presented.In the proposed schemes,the efficiency of signing and verification were improved by unifying certain
Min WANG +3 more
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Recycling, 2021 Online frauds have pernicious impacts on different system domains, including waste management systems. Fraudsters illegally obtain rewards for their recycling activities or avoid penalties for those who are required to recycle their own waste.
Ali Hewiagh +3 more
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Predicting choice behaviour in economic games using gaze data encoded as scanpath images
Scientific Reports, 2023 Eye movement data has been extensively utilized by researchers interested in studying decision-making within the strategic setting of economic games. In this paper, we demonstrate that both deep learning and support vector machine classification methods ...
Sean Anthony Byrne +5 more
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Insects, 2023 Understanding the molecular and physiological processes underlying biting behavior in vector mosquitoes has important implications for developing novel strategies to suppress disease transmission.
Sarah Marzec +6 more
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Vector Commitments with Efficient Updates
, 2023 In Advances in Financial Technologies - AFT ...
Tas, Ertem Nusret, Boneh, Dan
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Bootstrapping semi-supervised annotation method for potential suicidal messages
Internet Interventions, 2022 The suicide of a person is a tragedy that deeply affects families, communities, and countries. According to the standardized rate of suicides per number of inhabitants worldwide, in 2022 there will be approximately about 903,450 suicides and 18,069,000 ...
Roberto Wellington Acuña Caicedo +2 more
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Vector Commitments and Their Applications [PDF]
, 2013 We put forward the study of a new primitive that we call Vector Commitment (VC, for short). Informally, VCs allow to commit to an ordered sequence of q values (m1, . . . , mq) in such a way that one can later open the commitment at specific positions (e.g., prove that mi is the i-th committed message).
CATALANO, Dario, Fiore Dario
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