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Computational communication for three-dimensional dense coverage in 5G systems:architecture,approach and gain
Published 2017-06-01“…An integrated mobile computational communication architecture for three-dimensional dense coverage in indoor environment was proposed,and the proposed network architecture thus unified the computational electromagnetics,computational information theory and large-scale optimization into computational communication theory.Moreover,the implementation of the architecture was introduced.Specifically,the dense heterogeneous distributed radio access network was served as the wireless radio access network for the proposed computational communication architecture.Furthermore,computational electromagnetics based on channel propagation computing was implemented in parallel using the distributed computation resources.Given the exact channel propagation coefficients,the computational information theory based on channel capacity computation,as well as large-scale optimization based on multiuser network resource allocation were also achieved by the powerful computation resources.The proposed computational communication theory can thus compute the channel capacity and design power allocation scheme directly from propagation environment.…”
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102
Learner support in a distributed learning environment:the use of WWW-based teachware packages
Published 1997-01-01“…A relatively recent development which has not yet gained widespread acceptance is the use of the World Wide Web (WWW) as a basis and platform for distributed computer assisted teaching and learning. In addition to the advantages outlined with regard to classical CBT, the WWW offers the two advantages of world wide availablity as well as ease of promptly updating courses, but also adds many possibilities of collaborative learning. …”
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103
Formal Verification of Multi-Thread Minimax Behavior Using mCRL2 in the Connect 4
Published 2024-12-01“…The parallel version of minimax distributes computations across multiple threads, with each thread evaluating different successor states concurrently. …”
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104
A Methodology of Real-Time Data Fusion for Localized Big Data Analytics
Published 2018-01-01“…The traditional big-data analytical approaches use data clustering as small buckets while providing distributed computation among different child nodes. These approaches bring the issues especially concerning network capacity, specialized tools and applications not capable of being trained in a short period. …”
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105
Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor Networks
Published 2014-02-01“…Decision fusion has been adopted in a number of sensor systems to deal with sensing uncertainty and enable the sensors to collaborate with each other. It can distribute computation workload and significantly reduces the communication overhead. …”
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106
Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation
Published 2025-01-01“…We find evidence that distributing computation across chiplets may reduce the overall error rates associated with moving data across the device, despite higher error figures for transfers across links. …”
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107
A Fast Optimization Method for Reliability and Performance of Cloud Services Composition Application
Published 2013-01-01“…At present the cloud computing is one of the newest trends of distributed computation, which is propelling another important revolution of software industry. …”
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108
Study of the spatial strength distribution patterns and microstructure characteristics of ultra-fine tailings cemented paste backfill
Published 2025-01-01“…The strength parameters for the different UCPB locations in this model were revealed and examined along with the original pore and particle size distributions. Computer tomography (CT) and scanning electron microscopy (SEM) observations before and after the UCPB failed revealed that the particle deposition effect at different positions was the primary cause of the size effect. …”
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109
A Green AI Methodology Based on Persistent Homology for Compressing BERT
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110
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Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis
Published 2025-01-01“…A computation offloading approach, on the other hand, is leveraged to distribute computation-intensive tasks to the server edge, whereas lightweight computations are offloaded to edge devices, i.e., Raspberry Pi 4. …”
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