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The Training Method for Digital Data Operation
Published 2020-09-01“…The purpose of study is to develop the training method for operation with digital data. The article discusses the issues of training for mining and analyzing digital data on the example of social networks for higher education programs in the areas of “Management”, “Public administration”, “Human resources” and “Political Science”. …”
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102
TRAINING OF THE FUTURE INTERPRETERS’ WORKING MEMORY
Published 2021-12-01“…The article is devoted to the issues of functioning and training of short-term and long-term memory of future interpreters. …”
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103
Assessing the Validity of Claims-Based Diagnostic Codes for Psychotic and Affective Disorders and the Influence of the Coding Transition from the ICD-9 to the ICD-10 in Taiwan&...
Published 2025-07-01“…Intensive training for the coding plus the specific details requested by the ICD-10 may increase the validity of the claims-based databases for psychotic and affective disorders.Plain Language Summary: Mental disorders such as psychotic disorders and affective disorders have contributed substantially to the global burden of disease. …”
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104
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea
Published 2025-03-01“…Results All machine learning training was completed without the need for coding experience. …”
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105
Research on digital valve-controlled hydraulic system for active radial control of wheelsets
Published 2024-09-01Subjects: “…subway train…”
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106
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107
Musical expertise generalizes to superior temporal scaling in a Morse code tapping task.
Published 2020-01-01“…We quantified temporal scaling and timing precision in musicians and non-musicians as they learned to tap a Morse code sequence. We found that non-musicians improved significantly over the course of days of training at the standard speed. …”
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108
PERAN ETIKA KEPRIBADIAN DAN KODE ETIK GURU DALAM MENINGKATKAN KUALITAS PEMBELAJARAN
Published 2025-03-01“…This research emphasises the importance of continuous training and socialisation of the teachers' code of ethics to maintain the values of professionalism. …”
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109
Continual learning with hebbian plasticity in sparse and predictive coding networks: a survey and perspective
Published 2024-01-01“…A key differentiating factor regarding this emerging class of neuromorphic continual learning system lies in the fact that learning must be carried using a data stream received in its natural order, as opposed to conventional gradient-based offline training, where a static training dataset is assumed available a priori and randomly shuffled to make the training set independent and identically distributed (i.i.d). …”
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110
Surrogate modeling for flow simulations using design variable-coded deep learning networks
Published 2025-05-01“…This study explores a surrogate modeling approach known as Design Variable Coded Multilayer Perceptron (DV-MLP), aimed at predicting velocity on unseen geometries using CFD simulation data. …”
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111
Construction of optimal symmetric Z-complementary code set based on extended Boolean function
Published 2025-06-01“…Aiming at the problem of the limited number of training sequences in the wideband generalized spatial modulation (GSM) system, the construction methods of the optimal symmetric Z-complementary code set (SZCCS) and the enhanced cross Z-complementary set (E-CZCS) were studied. …”
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112
SCLF algorithm for polar code based on GRU network assistance and path metric exchange
Published 2023-06-01“…In order to solve the problems of low transmission performance, inaccurate flip set construction and high complexity of existing polar codes successive cancellation list bit-flip (SCLF) algorithms, a SCLF algorithm for polar codes based on GRU network assistance and path metric exchange was proposed.First the decoding state was redivided, and a bit-flip strategy was proposed by combining the ideas of path metric exchange and reverse judgment.Secondly, a flip set construction method was proposed by training the GRU network to locate the first erroneous bit in the decoding.Finally, a multi-bit flipping rule was proposed by sorting the path metric for each low-order flip and fixing the low-order reliable bits before performing the high-order flip.Simulation results show that compared with the existing SCLF algorithms, the proposed algorithm improves the accuracy of identifying the first error bit by 18~24% at low signal noise ratio.Under single-bit and multi-bit flipping, the proposed algorithm has a performance gain of up to 0.3 dB and 0.2 dB, respectively, and the online decoding complexity is lower.…”
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113
The Essential Importance of Dental Coding in Modern Health Care: A Comprehensive Systematic Review
Published 2025-01-01“…Furthermore, the research highlighted the imperative of proficient training and education of the utilization of dental coding systems among healthcare professionals.…”
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114
Signal equalization and coding techniques in ultra-high-speed short-reach optical interconnect
Published 2025-04-01“…In terms of coding technology, the optimization method of QC-LDPC codes in the optical interconnection system and the LDPC joint equalization and decoding method based on deep learning were introduced. …”
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115
Peculiarities of Design, Marking and Coding of US and NATO Chemical Munitions and Warfare Devices (Lecture)
Published 2023-04-01“…The lecture is intended for training NBCD Corps’ specialists from both the Russian Federation and foreign states, dealing with the issues of chemical safety. …”
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116
Data-driven decoding of quantum error correcting codes using graph neural networks
Published 2025-05-01“…Although training is computationally demanding, inference is fast and scales approximately linearly with the space-time volume of the code. …”
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117
Enhancing smart contract security using a code representation and GAN based methodology
Published 2025-05-01“…Synthesizing contract vector data using GANs alleviates data scarcity and facilitates source code acquisition for training our detection system. …”
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118
A Novel Behavioral Strategy for RoboCode Platform Based on Deep Q-Learning
Published 2021-01-01“…This paper addresses a new machine learning-based behavioral strategy using the deep Q-learning algorithm for the RoboCode simulation platform. According to this strategy, a new model is proposed for the RoboCode platform, providing an environment for simulated robots that can be programmed to battle against other robots. …”
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119
Learning to Score: A Coding System for Constructed Response Items via Interactive Clustering
Published 2024-09-01“…Meanwhile, the classifier from responses to code is trained according to the clustering results. …”
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120
Research progress on non-coding RNA regulatory networks and targeted therapy in diabetic nephropathy
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