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Vol. 9 No. 3 (2025)
Focusing on next-generation connectivity and resilient grid stability, this published issue presents cutting-edge research addressing smart grid voltage mitigation through direct load control and battery energy storage approaches for enhanced solar integration. It introduces innovative control strategies for both centralized and decentralized microgrids to improve system response against cyber-physical threats using frequency sensitivity techniques. The issue further explores stochastic interference prediction and adaptive power control in dense 6G urban networks, alongside machine-learning-enhanced Bayesian detection for α-stable noise channels in advanced 5G/6G systems. Contributions also examine improvements in neural network models for digit recognition and review artificial intelligence–driven solutions and alternative medical treatments for diabetes management.
Published:
2025-09-01
Original Research
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Enhancing Neural Network Models for MNIST Digit Recognition
Abstract : 76PDF : 72





