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241
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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242
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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243
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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244
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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245
Distributed Optimization Methods for Nonconvex Problems with Inequality Constraints over Time-Varying Networks
Published 2017-01-01“…In order to realize distributed computation, we then exploit the exact penalty function method to transform the sequence of convex constrained subproblems into unconstrained ones. …”
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246
A Distributed Bio-Inspired Method for Multisite Grid Mapping
Published 2010-01-01“…Computational grids assemble multisite and multiowner resources and represent the most promising solutions for processing distributed computationally intensive applications, each composed by a collection of communicating tasks. …”
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247
Experimental and numerical study of bubbly flow and bubble size distribution produced by swirling flow bubble generator
Published 2025-09-01“…A high-speed camera and Particle Image Velocimetry (PIV) were used to observe the flow and bubble size distribution. Computational Fluid Dynamics (CFD) simulations coupled with the Population-Balanced Method (PBM) were applied with transient solvers, a mixture model for two-phase flow, turbulent bubble aggregation, and Lehr breakup kernels. …”
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248
Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach
Published 2025-07-01“…Through an approximation of the nonparametric functions with free-knot splines, we develop a Bayesian sampling approach that can be applied by the Markov chain Monte Carlo (MCMC) approach and design an efficient Metropolis–Hastings within the Gibbs sampling algorithm to explore the joint posterior distributions. Computational efficiency is achieved through a modified reversible-jump MCMC algorithm incorporating adaptive movement steps to accelerate chain convergence. …”
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249
A Dual Grid Collaborative Navigation Method and Computer Simulation Based on Data Link
Published 2025-04-01“…In addition, to ensure the availability of collaborative navigation under conditions such as insufficient positioning benchmarks and poor geometric distribution, adopting a navigation source selection strategy based on quality grade, which enables the target node to efficiently utilize the positioning information of other user nodes, thereby improving positioning performance. Finally, a distributed computer simulation system is constructed by closely integrating the technical characteristics and error characteristics of the data link collaborative navigation system. …”
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250
Distributed Deep Reinforcement Learning Via Split Computing For Connected Autonomous Vehicles
Published 2025-06-01“…This paper proposes the application of split computing paradigms for deep reinforcement learning through distributed computation between Connected Autonomous Vehicles (CAVs) and edge servers. …”
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251
A Green AI Methodology Based on Persistent Homology for Compressing BERT
Published 2025-01-01Get full text
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252
Multicluster Distributed Optimization Strategy for Turbine Wake Environment
Published 2025-08-01“…First, clustering analysis on the wind turbine layout and wind conditions to establish a foundation for efficient distributed computation is performed. Based on the clustering results, wake analysis is conducted to plan and optimize the operational strategy for each wind turbine cluster, resulting in a distributed optimization strategy for their operation. …”
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253
Computational Fluid Dynamic Optimization of Supply and Return Duct Position for Zone Air Distribution
Published 2021-12-01Get full text
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254
Parallel Communicating Finite Automata: Productiveness and Succinctness
Published 2025-04-01“…Parallel Communicating Finite Automata (PCFA) extend classical finite automata by enabling multiple automata to operate in parallel and communicate upon request, capturing essential aspects of parallel and distributed computation. This model is relevant for studying complex systems such as computer networks and multi-agent environments. …”
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255
Hierarchical Federated Learning-Based Intrusion Detection for In-Vehicle Networks
Published 2024-12-01“…The H-FL framework incorporates multiple edge aggregators alongside the central aggregator, mitigating single-point failure risks, improving scalability, and efficiently distributing computational load. We evaluate the proposed IDS using the H-FL framework on two car hacking datasets under realistic non-independent and identically distributed (non-IID) data scenarios. …”
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256
Distributed High-Speed Videogrammetry for Real-Time 3D Displacement Monitoring of Large Structure on Shaking Table
Published 2024-11-01“…This process eliminates the need for large calibration boards or manual visual adjustments. A distributed computation and reconstruction strategy, employing the alternating direction method of multipliers, enables the global reconstruction of time-sequenced 3D coordinates for all points of interest across multiple devices simultaneously. …”
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257
Safety Assessment of Microwave Breast Imaging: Heating Analysis on Digital Breast Phantoms
Published 2025-04-01“…Temperature increases were estimated based on the Specific Absorption Rate distributions computed for different configurations and frequencies. …”
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258
Optimizing Resource Allocation and Task Offloading in Multi-UAV MEC Networks
Published 2025-01-01“…By incorporating trajectory optimization through random path exploration, the proposed scheme efficiently distributes computational tasks while mitigating processing delays. …”
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259
Asteroid gravitational field calculation via GeodesyNets with quadratic layers
Published 2025-06-01“…The results indicate that the density distributions computed by this combined network are more in line with the actual conditions. …”
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260
A User-Centric Smart Library System: IoT-Driven Environmental Monitoring and ML-Based Optimization with Future Fog–Cloud Architecture
Published 2025-03-01“…A scalable fog–cloud architecture distributes computation between edge devices (fog) and cloud servers, optimizing resource management. …”
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