Results 31 to 40 of about 33,602,714 (380)

TS-SLink: a two-stage span linking network for joint multimodal entity-relation extraction

Journal of King Saud University: Computer and Information Sciences
Multimodal Named Entity Recognition (MNER) and Multimodal Relation Extraction (MRE) are fundamental and core tasks in the field of information extraction.
Jinkang Zheng, Yahui Zhao, Guozhe Jin, Zhenguo Zhang, Rongyi Cui   +4 more
doaj   +1 more source

Data Naming Mechanism of LEO Satellite Mega-Constellations for the Internet of Things

Applied Sciences, 2022
The low earth orbit (LEO) mega constellation for the internet of thing (IoT) has become one of the hot spots for B5G and 6G concerns. Information-centric networking (ICN) provides a new approach to the interconnection of everything in the LEO mega ...
Mingfei Xia, Shengbo Hu, Hongqiu Luo, Tingting Yan, Yanfeng Shi   +4 more
doaj   +1 more source

Physics as Information Processing

, 2010
I review some recent advances in foundational research at Pavia QUIT group. The general idea is that there is only Quantum Theory without quantization rules, and the whole Physics---including space-time and relativity--is emergent from the quantum ...
D'Ariano, Giacomo Mauro
core   +1 more source

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation

IEEE Access
This article introduces semantically meaningful causal language modeling (SMCLM), a self-supervised method of training autoregressive models to generate semantically equivalent text. Our approach involves using semantically meaningful text representation
Michal Perelkiewicz, Slawomir Dadas, Rafal Poswiata   +2 more
doaj   +1 more source

A BLSTM and WaveNet-Based Voice Conversion Method With Waveform Collapse Suppression by Post-Processing

IEEE Access, 2019
In recent years, neural network-based voice conversion methods have been rapidly developed, and many different models and neural networks have been applied in parallel voice conversion.
Xiaokong Miao, Xiongwei Zhang, Meng Sun, Changyan Zheng, Tieyong Cao   +4 more
doaj   +1 more source

Reservoir computing using dynamic memristors for temporal information processing

Nature Communications, 2017
Reservoir computing systems utilize dynamic reservoirs having short-term memory to project features from the temporal inputs into a high-dimensional feature space.
Chao Du, F. Cai, Mohammed Affan Zidan, Wen Ma, Seung Hwan Lee, W. Lu   +5 more
semanticscholar   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Parallel multi-stage rectification networks for 3D skeleton-based motion prediction

Scientific Reports
It is noted that Recurrent Neural Networks (RNNs), which are widely used in human prediction tasks, have achieved promising performance in motion prediction, owing to RNNs’ robust capacity for spatial-temporal sequence modeling.
Jianqi Zhong, Conghui Ye, Wenming Cao, Hao Wang   +3 more
doaj   +1 more source

Energy-efficient multi-cell resource allocation in cognitive radio-enabled 5G systems

EURASIP Journal on Advances in Signal Processing, 2019
In this paper, we propose an energy-efficient resource allocation (RA) algorithm in cognitive radio-enabled 5th generation (5G) systems, where the scenario including one primary system and multiple secondary cells is considered.
Hengwei Lv, Pandong Li, Qinmengying Yan, Haijian Zhang   +3 more
doaj   +1 more source