Global ETD Search

1	Uncontrolled manifold based controller for lower-body exoskeletons supporting sit-to-stand transitions Patil, Gaurav 01 October 2019 (has links) No description available. Robots sit-to-stand exoskeleton uncontrolled manifold trajectory planning control intent detection
2	Linguistic Knowledge Transfer for Enriching Vector Representations Kim, Joo-Kyung 12 December 2017 (has links) No description available. Computer Science Artificial Intelligence Transfer Learning Word Embedding Intent Detection Slot Filling POS Tagging Adversarial Traning
3	Malicious Intent Detection Framework for Social Networks Fausak, Andrew Raymond 05 1900 (has links) Many, if not all people have online social accounts (OSAs) on an online community (OC) such as Facebook (Meta), Twitter (X), Instagram (Meta), Mastodon, Nostr. OCs enable quick and easy interaction with friends, family, and even online communities to share information about. There is also a dark side to Ocs, where users with malicious intent join OC platforms with the purpose of criminal activities such as spreading fake news/information, cyberbullying, propaganda, phishing, stealing, and unjust enrichment. These criminal activities are especially concerning when harming minors. Detection and mitigation are needed to protect and help OCs and stop these criminals from harming others. Many solutions exist; however, they are typically focused on a single category of malicious intent detection rather than an all-encompassing solution. To answer this challenge, we propose the first steps of a framework for analyzing and identifying malicious intent in OCs that we refer to as malicious mntent detection framework (MIDF). MIDF is an extensible proof-of-concept that uses machine learning techniques to enable detection and mitigation. The framework will first be used to detect malicious users using solely relationships and then can be leveraged to create a suite of malicious intent vector detection models, including phishing, propaganda, scams, cyberbullying, racism, spam, and bots for open-source online social networks, such as Mastodon, and Nostr. Artificial Intelligence (AI) Machine Learning (ML) Deep Learning (DL) Natural Language Processing (NLP) Cybersecurity Malicious Intent Detection Anomaly Detection Threat Intelligence Behavior Analysis Text Classification Sentiment Analysis Predictive Modeling Neural Networks Supervised Learning Unsupervised Learning Reinforcement Learning Data Mining Feature Extraction Algorithmic Bias Ethics in AI Cyber Threats Intrusion Detection Systems (IDS) Phishing Detection Social Engineering Online Behavior Analysis Artificial Intelligence Computer Science Statistics

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