Computational Intelligence for Signal and Image Processing Unleashing the Power of Algorithms
Bahman Zohuri · Journal of Clinical Case Reports and Studies · 2024
This comprehensive memorandum exploration delves into the synergies and challenges within computational intelligence for signal and image processing. The article provides a holistic view of the evolving landscape by covering foundational concepts, neural networks, fuzzy systems, and the symbiotic relationships among various deep learning architectures. It navigates through the applications, strengths, and potential flaws in Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), and Convolutional Recurrent Networks (CRNs) in image processing and recognition. Additionally, it addresses crucial aspects such as adversarial attacks, overfitting, biases, and interpretability concerns, offering mitigation strategies and envisioning future directions. This multifaceted exploration contributes to a deeper understanding of the intricate interplay between computational intelligence and signal/image processing, shaping the trajectory of advancements in this dynamic field.