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Decision-level Gait Fusion for Human Identification at a Distance
Published 2014Get full text
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An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm
Published 2021“…First after preprocessing input images, the whole feature space (population) is built using a multimodal feature representation technique. Second, a feature level fusion approach is used to combine the features. …”
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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…This basically follows either a feature-level or decision-level strategy. In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …”
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Collision-Free Autonomous Navigation Solution for Mobile Wheeled
Published 2023Get full text
doctoralThesis -
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A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques
Published 2022“…None of the surveys have ever comprehensively studied the use of Natural Language Processing (NLP) techniques for detection of phishing except one that shed light on the use of NLP techniques for classification and training purposes, while exploring a few alternatives. …”
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Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection
Published 2011“…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …”
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Published 2021“…A machine learning classification pipeline is developed using multi-domain feature extraction (time, frequency, time-frequency), feature selection (Gini impurity), classifier design, and score level fusion. Different classifiers were trained, validated, and tested for two different classification experiments - personalized and generalized. …”
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Exploring the Impact of Explainable Artificial Intelligence on Decision-making in Healthcare
Published 2023“…The development of explainable artificial intelligence (XAI) systems, which attempt to give visible and interpretable explanations for AI algorithms' judgements, is a vital part of AI in healthcare. …”
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Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning
Published 2024Get full text
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Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems
Published 2015Get full text
doctoralThesis -
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Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data
Published 2024“…This dissertation explores the fusion of Artificial Intelligence (AI) techniques with the obtained xAPI data. …”
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Energy-aware adaptive compression for mobile devices. (c2009)
Published 2009Get full text
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masterThesis -
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Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Published 2022“…Then, we systematically summarize commonly available boundary issue solutions into three categories, namely algorithm-based solutions, sampling-strategy-based solutions and iteration-based solutions. …”
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Innovating for the Future Through Technology-Mediated HRM
Published 2024“…With the lack of human managers in certain employment settings (e.g. platform-based gig work), HRM activities are primarily outsourced to algorithmic systems and, in some cases, customers, who engage in performance management processes by submitting anonymous ratings of workers. …”
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