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Towards a context based Evaluation Support System for Quality in Use assessment of mobile systems.

, , , and . SMC, page 4350-4355. IEEE, (2016)

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Deep learning for internet of things in fog computing: Survey and Open Issues., , and . ATSIP, page 1-6. IEEE, (2020)A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs., , , , , , and . Neurocomputing, (2024)An Automatic Vision Transformer Pruning Method Based on Binary Particle Swarm Optimization., , , and . ISCC, page 727-732. IEEE, (2023)Context-based evaluation of mobile knowledge management systems., , and . AICCSA, page 1-8. IEEE Computer Society, (2016)Bare-Bones particle Swarm optimization-based quantization for fast and energy efficient convolutional neural networks., , , , and . Expert Syst. J. Knowl. Eng., (April 2024)Neural Network Pruning Based on Improved Constrained Particle Swarm Optimization., , and . ICONIP (6), volume 1517 of Communications in Computer and Information Science, page 315-322. Springer, (2021)Towards a context based Evaluation Support System for Quality in Use assessment of mobile systems., , , and . SMC, page 4350-4355. IEEE, (2016)A CNN pruning approach using constrained binary particle swarm optimization with a reduced search space for image classification., , , , and . Appl. Soft Comput., (2024)Automatic Quantization of Convolutional Neural Networks Based on Enhanced Bare-Bones Particle Swarm Optimization for Chest X-Ray Image Classification., , and . ICCCI, volume 14162 of Lecture Notes in Computer Science, page 125-137. Springer, (2023)