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2921
Predicting Excavation-Induced Tunnel Response by Process-Based Modelling
Published 2020-01-01“…The inverse modelling module enables a gradual reduction of uncertainty associated with soil characterizations by accumulating field observations during the construction processes. Based on the inputs provided by the former two modules, the mechanistic module computes the response of tunnel. …”
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2922
Subjective valuation as a domain-general process in creative thinking
Published 2025-07-01“…A recent framework has proposed that the evaluation phase involves a valuation process which occurs upstream of the selection of an idea. …”
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2923
Log File Times as Indicators of Structured Figural Matrix Processing
Published 2025-05-01“…Previous research has shown individual differences in (a) time on task (ToT) and (b) the degree of structuredness in processing figural matrices. The goal of this article was to integrate these two lines of research by analyzing log files from a computer-based assessment (<i>N</i> = 198) to examine the role of three ToT sub-components: onset times (before engaging with the first matrix rule), interrule times (between the rules), and intrarule times (within a single rule). …”
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2924
Comparative Analysis of Denoising Techniques for Optimizing EEG Signal Processing
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2925
Analytical MPC Algorithm Using Steady-State Process Model
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2926
Joint Class and Domain Continual Learning for Decentralized Federated Processes
Published 2025-01-01“…The learning process is also agnostic to domain and classes’ distribution across the nodes. …”
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2927
Mathematical model of the snow mass transportation process in the snowblower rotor
Published 2022-11-01“…A mathematical model of the process of transporting snow mass in a rotor, in which snow is represented as a loose medium, including a set of individual particles, was developed using the method of discrete elements. …”
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2928
Simplifying Data Processing in AFM Nanoindentation Experiments on Thin Samples
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2929
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2930
Impact of Information and Communication Technologies on Democratic Processes and Citizen Participation
Published 2025-02-01Get full text
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2931
BLE Signal Processing and Machine Learning for Indoor Behavior Classification
Published 2025-07-01Get full text
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2932
Processed food intake assortativity in the personal networks of older adults
Published 2025-03-01Get full text
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2933
Heterogeneous update processes shape information cascades in social networks
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2934
Analysis of the circadian rhythm of biological processes in mouse liver and kidney
Published 2018-01-01Get full text
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2935
The Growing Impact of Natural Language Processing in Healthcare and Public Health
Published 2024-10-01“…Natural Language Processing (NLP) is a subset of Artificial Intelligence, specifically focused on understanding and generating human language. …”
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2936
Bayesian Inference for Post-Processing of Remote-Sensing Image Classification
Published 2024-12-01Get full text
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2937
Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation
Published 2018-01-01“…Multi-processor distributed systems are very useful for the computation of intensive load. …”
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2938
PDAI: A green pesticide molecule design technology platform driven by high-performance computing and artificial intelligence
Published 2025-06-01“…PDAI streamlines the innovation process, from target identification to the generation of viable pesticide candidates, optimizing key steps and simplifying the overall design workflow. …”
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2939
Edge Computing Application-Specific Integrated Circuit With Two Serial Communication Protocols and a Backpropagation Neural Network
Published 2025-01-01“…This study developed an edge computing application-specific integrated circuit (ASIC) with two serial communication protocols, adjustable weights, and a backpropagation neural network (BPNN) for edge computing. …”
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2940
Reducing time and computing costs in EC-Earth: an automatic load-balancing approach for coupled Earth system models
Published 2025-06-01“…However, this task traditionally involves manual testing of multiple process allocations by trial and error, requiring significant time investment from researchers and making the process more error-prone, often resulting in a loss of application performance due to the complexity of the task. …”
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