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Chapter and Conference Paper
Modeling on Outdoor Thermal Comfort in Traditional Residential Neighborhoods in Bei**g Based on GAN
With the support of new urban science and technology, the bottom-up and human-centered space quality research has become the key to delicacy urban governance, of which the Universal Thermal Climate Index (UTCI...
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Chapter and Conference Paper
Emerging Techniques for Online Learning Analytics
The rapid growth of online learning platforms presents both challenges and opportunities for educational institutions. Online learning analytics has the potential to extract valuable insights from student lear...
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Chapter and Conference Paper
Research on the Generation Method of Predictive Intrusion Graph Model
In recent years, military equipment has been develo** towards digitization, networking, and intelligence. Software, as a core component of equipment, and network systems, as the survival environment of softw...
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Chapter and Conference Paper
Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment
Recommender Systems for the IoT (RSIoT) aim for interactive item recommendations. Most existing methods focus on user feedback and have limitations in dealing with dynamic environments. Deep Reinforcement Lear...
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Chapter and Conference Paper
Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment
Recommendation systems are crucial for providing services to the elderly with Alzheimer’s disease in IoT-based smart home environments. Therefore, we present a Reminder Care System to help Alzheimer patients l...
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Chapter
Neuromorphic Silicon Photonics for Artificial Intelligence
Recent investigations in neuromorphic photonics, i.e. neuromorphic architectures on photonics platforms, have garnered much interest to enable high-bandwidth, low-latency, low-energy applications of neural net...
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Chapter and Conference Paper
Active Object Estimation for Human-Robot Collaborative Tasks
In the current exploring of interpreting human activities of daily living (ADLs), rarely we can see a specific model for training robot helpers, which in some domains has shown promising prototypes. In our pro...
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Chapter and Conference Paper
Expert2Vec: Distributed Expert Representation Learning in Question Answering Community
Community question answering (CQA) has attracted increasing attention recently due to its potential as a de facto knowledge base. Expert finding in CQA websites also has considerably board applications. Stack...
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Chapter and Conference Paper
Similarity-Aware Deep Attentive Model for Clickbait Detection
Clickbait is a type of web content advertisements designed to entice readers into clicking accompanying links. Usually, such links will lead to articles that are either misleading or non-informative, making th...
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Chapter and Conference Paper
Reminder Care System: An Activity-Aware Cross-Device Recommendation System
Alzheimer’s disease (AD) affects large numbers of elderly people worldwide and represents a significant social and economic burden on society, particularly in relation to the need for long term care facilitie...
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Chapter and Conference Paper
Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation
Meetup brings people with similar interests together to do things that matter to them. For example, it provides a platform for getting people who love hiking, coding, running marathons, learning foreign langua...
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Chapter and Conference Paper
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships
Knowledge acquisition and exchange are generally crucial yet costly for both businesses and individuals, especially when the knowledge concerns various areas. Question Answering Communities offer an opportunit...
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Chapter and Conference Paper
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks
Electroencephalography (EEG) signal based intent recognition has recently attracted much attention in both academia and industries, due to hel** the elderly or motor-disabled people controlling smart devices...