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No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysis
Deep learning is a powerful direction for profiling side-channel analysis as it can break targets protected with countermeasures even with a...
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No-Reference Image Quality Assessment Based on Machine Learning and Outlier Entropy Samples
AbstractA growing research is focusing on approaches for assessing image quality as a result of advancements in digital imaging. Thus, there is an...
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Hierarchical Curriculum Learning for No-Reference Image Quality Assessment
Despite remarkable success has been achieved by convolutional neural networks (CNNs) in no-reference image quality assessment (NR-IQA), there still...
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Silent no more: a comprehensive review of artificial intelligence, deep learning, and machine learning in facilitating deaf and mute communication
People who often communicate via sign language are essential to our society and significantly contribute. They struggle with communication mostly...
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No-Reference Point Cloud Quality Assessment via Contextual Point-Wise Deep Learning Network
For the processing of point clouds, an accurate assessment of the quality is essential. However, point cloud quality assessment has proven to be a...
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Study on no-reference video quality assessment method incorporating dual deep learning networks
The quality assessment of user-generated content (UGC) videos is a challenge. Unlike synthetic videos, these videos are then susceptible to various...
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Leave No One Behind - A Massive Online Learning Platform Free for Everyone
GCFGlobalLearning is a non-profit organization committed to creating life-changing opportunities through an innovative virtual education project that...
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No-Reference Image Quality Assessment via Broad Learning System
Deep Learning (DL) can be used to model the process of No Reference-Image Quality Assessment (NR-IQA), which has a great contribution to the field of...
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Multi-task Deep Learning for No-Reference Screen Content Image Quality Assessment
The past decades have witnessed growing development of image quality assessment (IQA) for natural images (NIs). However, since screen content images...
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No Time to Dice: Learning Execution Contexts from Event Logs for Resource-Oriented Process Mining
Process mining enables extracting insights into human resources working in business processes and supports employee management and process...
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No more excuses, learn English for free: Factors affecting L2 learners intention to use online technology for informal English learning
There is a wealth of research investigating language learners’ adoption of digital technology in higher education. To date, however, research...
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Learning a No Reference Quality Assessment Metric for Encoded 4K-UHD Video
4K-UHD videos have become popular since they significantly improve user’s visual experience. As video coding, transmission and enhancement technology...
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A Good Anvil Fears No Hammer: Automated Rowhammer Detection Using Unsupervised Deep Learning
The Rowhammer bug has exposed a severe reliability issue in modern commodity-grade DRAM modules where repeated accesses to a particular row can cause...
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Concise Guide to Quantum Machine Learning
This book offers a brief but effective introduction to quantum machine learning (QML). QML is not merely a translation of classical machine learning...
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Online class facilitation for learning multimedia animation in a teacher education program
The facilitation of online learning is crucial to ensure that all the learning outcomes are achieved at the end of the lesson and that the learning...
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Putting the flesh on the bones: using a fishbone digital learning design method to align educational objectives
Learning design has become increasingly important in the context of expanding and dynamic digital learning environments. More traditional teaching...
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Data Driven Approaches on Medical Imaging
This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning,...
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How do we learn in and from Hackathons? A systematic literature review
This paper presents an analysis of the current research landscape around hackathons and hackathon-like events as opportunities and means for...
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Learning in games: a systematic review
Game theory studies the mathematical models for self-interested individuals. Nash equilibrium is arguably the most central solution in game theory....
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Promoting math learning in educational games with virtual companions providing learning supports
To enhance the effectiveness of educational games, researchers have advocated adding learning supports in educational games, but this may come at the...
