Results 41 to 50 of about 493,316 (299)
A Well-Overflow Prediction Algorithm Based on Semi-Supervised Learning
Energies, 2022 Oil drilling is the core process of oil and natural gas resources exploitation. Well overflow is one of the biggest threats to safety drilling. Prediction of the overflow in advance can effectively avoid the occurrence of this kind of accident.
Wei Liu +4 more
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Molecules, 2020 Long non-coding RNA (LncRNA) and microRNA (miRNA) are both non-coding RNAs that play significant regulatory roles in many life processes. There is cumulating evidence showing that the interaction patterns between lncRNAs and miRNAs are highly related to ...
Sen Yang +5 more
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Predicting miRNA-disease associations based on multi-view information fusion
Frontiers in Genetics, 2022 MicroRNAs (miRNAs) play an important role in various biological processes and their abnormal expression could lead to the occurrence of diseases. Exploring the potential relationships between miRNAs and diseases can contribute to the diagnosis and ...
Xuping Xie +6 more
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On the Design of Turbo Trellis Coded Modulation schemes using Symbol-based EXIT Charts [PDF]
, 2006 In this paper we design bandwidth efficient parallel-concatenated Turbo Trellis Coded Modulation (TTCM) schemes for communicating over AWGN and uncorrelated Rayleigh fading channels.
Kliewer, J. +3 more
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MultiSec: Multi-Task Deep Learning Improves Secreted Protein Discovery in Human Body Fluids
Mathematics, 2022 Prediction of secreted proteins in human body fluids is essential since secreted proteins hold promise as disease biomarkers. Various approaches have been proposed to predict whether a protein is secreted into a specific fluid by its sequence.
Kai He, Yan Wang, Xuping Xie, Dan Shao
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Frontiers in Plant Science, 2022 Although growing evidence shows that microRNA (miRNA) regulates plant growth and development, miRNA regulatory networks in plants are not well understood. Current experimental studies cannot characterize miRNA regulatory networks on a large scale.
Haowu Chang +17 more
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Symbol complexity and symbol identification with rotated symbols
Acta Psychologica, 1983 Abstract Previous studies of the identification of rotated symbols have been restricted to either alphanumeric characters or symbols designed to be similar in complexity and type to alphanumerics. These researches have found identification response times to be independent of the magnitude of a symbol's angular displacement from a standard upright ...
openaire +2 more sources
Multiple-Symbol Detection Aided Differential Spatial Division Multiple Access [PDF]
, 2011 This paper presents a multiple-symbol differential spatial division multiple access (MS-DSDMA) system conceived for low-complexity and high-bandwidth-efficiency applications operating in time-varying fading channels, where no channel estimation is ...
Wang, Li +3 more
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An Improved Transformer Framework for Well-Overflow Early Detection via Self-Supervised Learning
Energies, 2022 Oil drilling has always been considered a vital part of resource exploitation, and during which overflow is the most common and tricky threat that may cause blowout, a catastrophic accident. Therefore, to prevent further damage, it is necessary to detect
Wan Yi +4 more
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Iterative Multiuser Minimum Symbol Error Rate Beamforming Aided QAM Receiver
, 2008 A novel iterative soft interference cancellation (SIC) aided beamforming receiver is developed for high-throughput quadrature amplitude modulation systems.
Tan, S., Chen, Sheng, Hanzo, L.
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