Key algorithms of digital signal processing based on microwave photonic link and soft computing models

Special issue on soft computing for edge-driven applications

“…The first section includes 8 research articles on novel soft computing-driven techniques. The discussion includes: analyzing key algorithms of DSP signal processing with soft computing models (Long 2022); proposing a natureinspired optimal feature selection methodology using ant colony optimization for finding the optimal features to reduce the computational complexity and increase detection accuracy (Dharini and Jain 2021); formulating a novel DNN framework for evolving predictive frameworks (Guduru et al 2021); proposing a novel oversampling approach to introduce synthetic samples via genetic algorithm (GA) for evaluating the fault prediction performance and reduced false alarm rate (Arun and Lakshmi 2021); designing and developing a task scheduling method based on a hybrid optimization algorithm to assign a task with minimal amount of waiting time (Khan and Santhosh 2021); proposing a multi-swarm optimization model for multi-cloud scheduling to obtain enhanced quality of services [QoS] in a multi-cloud environment (Mohanraj and Santhosh 2021); by using big data pattern mining algorithm and scene understanding algorithm, a framework optimization system of traditional printing and dyeing process in Xiangxi is developed for the optimization of the traditional model, wherein the edge-driven scene model is applied for the systematic study (Xiao 2021); and studying about soft multimedia assisted new energy productive landscape design based on the environmental analysis and edge-driven artificial intelligence (Ma et al 2021).…”