Results 1 to 10 of about 61,692 (215)
A Beam Search Framework for Quantum Circuit Mapping [PDF]
EntropyIn the era of noisy intermediate-scale quantum (NISQ) computing, the limited connectivity between qubits is one of the common physical limitations faced by current quantum computing devices. Quantum circuit mapping methods transform quantum circuits into
Cheng Qiu, Pengcheng Zhu, Lihua Wei
doaj +2 more sources
Meshed Context-Aware Beam Search for Image Captioning [PDF]
EntropyBeam search is a commonly used algorithm in image captioning to improve the accuracy and robustness of generated captions by finding the optimal word sequence. However, it mainly focuses on the highest-scoring sequence at each step, often overlooking the
Fengzhi Zhao +3 more
doaj +2 more sources
Decoding Methods in Neural Language Generation: A Survey
Information, 2021 Neural encoder-decoder models for language generation can be trained to predict words directly from linguistic or non-linguistic inputs. When generating with these so-called end-to-end models, however, the NLG system needs an additional decoding ...
Sina Zarrieß +2 more
doaj +1 more source
A Combined Extractive With Abstractive Model for Summarization
IEEE Access, 2021 Aiming at the difficulties in document-level summarization, this paper presents a two-stage, extractive and then abstractive summarization model. In the first stage, we extract the important sentences by combining sentences similarity matrix (only used ...
Wenfeng Liu +3 more
doaj +1 more source
Entropy-Based Dynamic Rescoring with Language Model in E2E ASR Systems
Applied Sciences, 2022 Language models (LM) have played crucial roles in automatic speech recognition (ASR), whether as an essential part of a conventional ASR system composed of an acoustic model and LM, or as an integrated model to enhance the performance of novel end-to-end
Zhuo Gong +2 more
doaj +1 more source
Path Optimization of Stacker in Compact Storage System with Dual-Port Layout
Shanghai Jiaotong Daxue xuebao, 2022 The compact storage system is a new storage technology in the field of intelligent logistics technology, and its most typical feature is that it can realize multi-depth storage of unit loads.
YAN Qing, LU Jiansha, JIANG Weiguang, SHAO Yiping, TANG Hongtao, LI Yingde
doaj +1 more source
Dual-Modal Transformer with Enhanced Inter- and Intra-Modality Interactions for Image Captioning
Applied Sciences, 2022 Image captioning is oriented towards describing an image with the best possible use of words that can provide a semantic, relatable meaning of the scenario inscribed.
Deepika Kumar +3 more
doaj +1 more source
Anomaly Detection in Smart Homes Using Deep Learning [PDF]
Iranica Journal of Energy and Environment, 2019 Smart homes enable many people, especially the elderly and patients, to live alone and maintain their independence and comfort. The realization of this goal depends on monitoring all activities in the house to report any observed anomaly immediately to ...
M. Moallem, H. Hassanpour, A. A. Pouyan
doaj +1 more source
Generating Natural Language Descriptions From Tables
IEEE Access, 2020 This paper proposes a neural generative architecture, namely NLDT, to generate a natural language short text describing a table which has formal structure and valuable information.
Juan Cao
doaj +1 more source
Neural Network Approach to Program Synthesis for Tabular Transformation by Example
IEEE Access, 2022 Data transformation is a laborious and time-consuming task for analysts. Programming by example (PBE) is a technique that can simplify this difficult task for data analysts by automatically generating programs for data transformation.
Yoshifumi Ujibashi, Atsuhiro Takasu
doaj +1 more source