… -Yolo neural network is presented, which is in artificial intelligence-based Internet of Things
… suggested that our proposed LSE-Yolo neural network has better performance in image real…

… paper, we will refer to it as simply YOLO and its smaller variant as Tiny-YOLO. … Network
architecture … % mAP with real-time processing using YOLO with a network size of 288, with a peak …

… In this paper, the EC components are incorporated in the YOLO-v4 network, that is, the EC
components are added at the end of the Neck network to form an improved YOLO-v4 network. …

… insufficient computing power to deploy large networks in mobile and embedded devices, in
this paper, we propose a PG-YOLO network by combining relevant theories and considering …

… This paper presents a framework for object detection which is a novel combination of
YOLO-Lite [17], Spatial Pyramid Pooling [2] and ThingSpeak platform to detect target and send …

It's becoming more worrying that unchecked urban garbage buildup might lead to
environmental contamination and potential health risks for city dwellers. People don't use their …

… Artificial Neural Networks may help in these studies. In this study, yolo algorithm which is …
analyzation of system aside this research which takes Yolo algorithm as a foundation point [10]. …

… YOLO v2 model for decoration garbage detection and recognition through the method of
target box dimension clustering, classification network pre-… Narrowband Internet of things can …

… with YOLO. The COCO Dataset is used in this study for training and testing the YOLO algorithm
… Meanwhile, YOLO and COCO datasets are the core of object recognition in the proposed …

… utilizes the DBSCAN based K-means algorithm to regroup anchor boxes and optimize the
YOLO network structure, improving the detection performance and efficiency of the algorithm. …