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X17 search project with EAR2 neutron beam [PDF]
EPJ Web of Conferences, 2023 We present the state of the art of the n_TOF Collaboration Working Group activity dedicated to study how to solve the puzzle about the existence of the so called new particle X17, spotted for the first time few years ago by a team at ATOMKI in Hungary ...
Gervino Gianpiero +12 more
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Diverse Decoding for Abstractive Document Summarization
Applied Sciences, 2019 Recently, neural sequence-to-sequence models have made impressive progress in abstractive document summarization. Unfortunately, as neural abstractive summarization research is in a primitive stage, the performance of these models is still far from ideal.
Xu-Wang Han +3 more
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A Hardware-Oriented and Memory-Efficient Method for CTC Decoding
IEEE Access, 2019 The Connectionist Temporal Classification (CTC) has achieved great success in sequence to sequence analysis tasks such as automatic speech recognition (ASR) and scene text recognition (STR).
Siyuan Lu +3 more
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Frontiers in Applied Mathematics and Statistics, 2023 Vehicle routing problems are a class of NP-hard combinatorial optimization problems which attract a lot of attention, as they have many practical applications.
Jorin Dornemann
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Improved Beam Search for Optimizing No-Wait Flowshops With Release Times
IEEE Access, 2020 Production management of perishable goods is highly complex and requires well-informed decisions in corresponding stages. In such production environments, scheduling problems with time constraints are of high relevance to ensure the timely flow of the ...
Pourya Pourhejazy +4 more
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Advances in Distributed Computing and Artificial Intelligence Journal, 2018 Finding the diameter of a dataset in multidimensional Euclidean space is a well-established problem, with well-known algorithms. However, most of the algorithms found in the literature do not scale well with large values of data dimension, so the time ...
Ahmad HASSANAT
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A Multimodal Adversarial Attack Framework Based on Local and Random Search Algorithms
International Journal of Computational Intelligence Systems, 2021 Although many problems in computer vision and natural language processing have made breakthrough progress with neural networks, adversarial attack is a serious potential problem in many neural network- based applications.
Zibo Yi, Jie Yu, Yusong Tan, Qingbo Wu
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Keyphrase Enhanced Diverse Beam Search: A Content-Introducing Approach to Neural Text Generation
IEEE Access, 2019 Neural text generation has been a challenging task, among which the text representation and the beam search are crucial techniques. By improving these techniques, we propose a novel model to generate texts of higher quality in this paper.
Xuewen Chen, Jinlong Li, Haihan Wang
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Frontiers in Artificial IntelligenceThe data-hungry statistical machine translation (SMT) and neural machine translation (NMT) models offer state-of-the-art results for languages with abundant data resources.
Kumar Bhuvaneswari +1 more
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Fast 3D Beamforming Technique for Millimeter-Wave Cellular Systems With Uniform Planar Arrays
IEEE Access, 2020 The beam search protocol in cellular systems requires a significant amount of search time and network resources in order to select a serving base station with the optimal beam pair.
Qasim Sultan +2 more
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