People with learning disabilities often have seizures in addition to other disorders. Precise diagnosis may be difficult, but accuracy can be improved using electroencephalographic and video investigations. Following the establishment of a diagnosis of epilepsy, individually tailored care is necessary taking into account other health, behavioural and therapeutic issues. Neuroimaging may indicat...

Multi-view Comprehensive Representation Learning (MCRL) aims to synthesize information from multiple views learn comprehensive representations of data items. Prevalent deep MCRL methods typically concatenate synergistic view-specific or average aligned in the fusion stage. However, performance inevitably degenerate even fail when partial are missing real-world applications; based usually cannot...

The difficulty of deploying various deep learning (DL) models on diverse DL hardware has boosted the research and development compilers in community. Several have been proposed from both industry academia such as Tensorflow XLA TVM. Similarly, take described different frameworks input, then generate optimized codes for output. However, none existing survey analyzed unique design architecture co...

Meta-learning has gained wide popularity as a training framework that is more data-efficient than traditional machine learning methods. However, its generalization ability in complex task distributions, such multimodal tasks, not been thoroughly studied. Recently, some studies on multimodality-based meta-learning have emerged. This survey provides comprehensive overview of the landscape terms m...

In recent years, researches on reinforcement learning (RL) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. Neural network reinforcement learning (NNRL) is among the most popular algorithms in the RL framework. The advantage of using neural networks enables the RL to search for optimal policies more efficiently in several real-life applicat...

This paper proposes an efficient performance measurement system to evaluate the excellence of e-learning centers of universities. The proposed system uses the analytic network process (ANP) as an effective multi-criteria decision making (MCDM) method and its fuzzy mode to respond to uncertainties in judgements. This system also needs a targeted and systematic criteria set which is collected thr...