Image Super-resolution (SR) has gained considerable attention in artificial intelligence (AI) research and image-based applications.Recent deep learning-based SR models have demonstrated remarkable accuracy and perceptual quality in the resulting images.However, the computational cost and model parameters are the most challenging limitations in rea
This paper investigates the problem of processing jobs on unrelated parallel batch machines, taking Tea Towel into account job arrival times, machine deterioration effects, and variable preventive maintenance (VPM).To address this complex scheduling problem, this paper proposes a Self-Adaptive Artificial Bee Colony (SABC) algorithm, incorporating a
Fingertip friction perception characteristics have not formed a clear and complete theory, owing to the low repeatability and accuracy of related experiments.Given this, a novel experimental method is proposed based on ridged surfaces for investigating the Puzzle Acrylic Plaque fingertip friction perception characteristics.In this method, based on
Capturing RGB images and estimating their corresponding depth data for training deep models is a challenging task.Several deep network models have been recently reported to formulate the depth estimation process as an image reconstruction problem, in order to overcome the difficulty of scarcity of ground truth depth.These deep network models have m