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13721
Multi-view fusion network with test time augmentation for cardiac image segmentation and ejection fraction estimation
Published 2025-09-01“…The module regularizes mutual information in the latent space by simultaneously processing both views through separate encoder heads. …”
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13722
Integrated edge-to-exascale workflow for real-time steering in neutron scattering experiments
Published 2024-11-01“…We introduce a computational framework that integrates artificial intelligence (AI), machine learning, and high-performance computing to enable real-time steering of neutron scattering experiments using an edge-to-exascale workflow. …”
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13723
Integrated photonic programmable random matrix generator with minimal active components
Published 2025-02-01“…Abstract Random matrices are fundamental in photonic computing because of their ability to model and enhance complex light interactions and signal processing capabilities. …”
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13724
Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms
Published 2013-01-01“…For this purpose, we rely on a two-stage prediction process to enhance the quality of traditional predictions, taking advantage of parallel computing. …”
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13727
Drill pipe counting for underground drilling rigs based on miner pose recognition
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13729
Complex PM2.5 Pollution and Hospital Admission for Respiratory Diseases over Big Data in Cloud Environment
Published 2020-01-01“…With the establishment of China’s national air quality monitoring network, large amounts of monitoring data are available for different kinds of users. How to process and use this big data is a tough problem for users: most users have limited computing power, and new data are collected at every moment. …”
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13730
Transforming Neural Networks into Quantum-Cognitive Models: A Research Tutorial with Novel Applications
Published 2025-05-01“…The examples discussed in this paper include quantum-inspired analogues of feedforward neural networks, recurrent neural networks, Echo State Network reservoir computing, and Bayesian neural networks, demonstrating that a quantum approach can both optimise the training process and equip the models with certain human-like cognitive characteristics.…”
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13731
A Deep Learning Approach for a Source Code Detection Model Using Self-Attention
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13732
Multipath Branch Model-Aided Differential Evolution Algorithm Based on Regional Error
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13733
Data Privacy in the Internet of Things: A Perspective of Personal Data Store-Based Approaches
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13734
A Novel Quantum-Enhanced Algorithm for Dynamic Soil Microbiome Optimization to Boost Agriculture
Published 2025-01-01“…Present methods for sustainable soil microbiome management through effective solutions must address microbial complexity. Quantum computing systems provide revolutionary power that enables solutions to the difficulties observed in these applications. …”
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13735
Picture Preview Generation for Interactive Educational Resources
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13736
Optical XOR logic gate design in two dimensional photonic crystal using ANN and PSO
Published 2025-07-01“…The proposed gate is designed to be used in optical computing and all-optical logic applications, offering advantages such as fast computation and parallel processing. …”
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13738
Leveraging Deep Learning for Real-Time Coffee Leaf Disease Identification
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13739
Parametric Optimization for Fully Fuzzy Linear Programming Problems with Triangular Fuzzy Numbers
Published 2024-09-01“…Unlike conventional techniques that rely on crisp approximations or the defuzzification process, the proposed approach maintains the fuzziness throughout the computation, ensuring that the solutions retain their fuzzy characteristics and better reflect the uncertainties present in the input data. …”
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13740
Improvement of Business Analysis Method of E-Commerce System from the Perspective of Intelligent Recommendation System
Published 2022-01-01“…However, the algorithms used in traditional recommendation technology focus on the single-computer environment and do not consider the performance of the recommendation method when distributed parallel processing is required in the big data environment, so it cannot meet the personalized needs of users in the big data environment. …”
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