Co-occurrence information between words is the basis of training word embeddings;
besides, Chinese characters are composed of subcharacters, words made up by the same …

Heuristics serve as a powerful tool in classical planning. However, due to some
incompatibilities between classical planning and hierarchical planning, heuristics from classical …

In this paper, a sequence-to-sequence based hybrid neural network model is proposed for
abstractive summarization. Our method utilizes Bi-directional Long Short-Term Memory (Bi-…

Purpose: Subretinal injection is an effective way to deliver therapeutic agents into the
photoreceptors and RPE layers. However precise positioning of the injector tip is highly …

In order to solve the problem of lack of effective methods for ontology inconsistency, a user
preferences-oriented ontology alignment repair model is proposed. This model uses 0-1 …

Power consumption is identified as a critical performance objective in circuit design. Existing
power estimation tools, such as PrimeTime PX (PTPX), provide high accuracy but are …

Domain knowledge of hierarchical task network (HTN) usually involves logical expressions
with predicates. One needs to master two different languages which are used to describe …

Focusing on massive high-dimensional data reduction, this paper established the ontology
model of data reduction, to improve the related theoretical methods of data reduction, and to …

Achieving the optimal balance of minimizing bandwidth consumption and end-to-end latency
while preserving a satisfactory level of visual quality becomes the ultimate goal of live, …

The sealing strategy is often applied to indirectly achieve the isolation of oxygen for fire
control. To explore the influence of various sealing speeds on fire smoke and temperature …