Abstract In the realm of computer vision (CV), balancing speed and accuracy remains a significant challenge. Recent efforts have focused on developing lightweight networks that optimize computational ...
The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...
Root Mean Square Error,Convolutional Neural Network,Feature Maps,Robotic System,Image Segmentation,Segmentation Accuracy,Adaptive Control,Attention Mechanism,Global Features,Local Features,Long ...
Phase Noise,Parasitic Capacitance,Varactor,CMOS Technology,Resonance Frequency,Transformer,Figure Of Merit,Tuning Range,Output Power,Power Consumption,Frequency Band ...
The goal of this study is to classify microalgae of different species such as Chlorella vulgaris FSP-E, Chlamydomonas reinhardtii, and Spirulina platensis, using machine learning (ML) and deep ...
Zheng Z, Qi G, He B, Liu J, Li Z, Zuo S, Du B, Xiong Y, Yan H, Pan Z, Liu Z and Shen H (2026) Improved YOLOv8 method for photovoltaic panel surface state detection integrating spatial-to-depth ...
Wan et al. (2018) proposed a method for fresh tomato maturity detection using HSV color space for segmentation and edge detection for shape analysis. The method demonstrated promising performance in ...