Titlebook: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing; Roger Lee Book 2023 The Editor(s) (if applic

Harrowing

,Speed-Up Single Shot Detector on GPU with CUDA,er problem of object detection is the detection speed. The more complex the architecture, the slower the speed. This time, we implemented a Single Shot Multibox Detector(SSD) using GPU with CUDA. We have improved the object detection speed of SSD, which is one of the most regularly used objects dete

Ganglion-Cyst

arbovirus

轻快带来危险

Diuretic

Distance Based Clustering in Wireless Sensor Network,clustering algorithm in a field of WSNs. In a wireless sensor network, the operating lifetime of sensor nodes composed of cluster members should be maximized. Therefore, this paper proposed a hierarchical clustering algorithm that can minimize the power consumption of sensor nodes. Multi-hop routing

Bricklayer

Study on OSINT-Based Security Control Monitoring Utilization Plan, analysis through OSINT has emerged. However, the reality is that public institutions and private companies are far short of response strategies compared to the increasing number of cases of infringement and public information that collect vast amounts of data. Today, with the development of the Int

攀登

commute

Does Facial Expression Accurately Reveal True Emotion? Evidence from EEG Signal,ely reflect inner emotions, leading to the shaking of theories about human basic universal emotions. In this study, we conduct an experiment to collect facial expression data and EEG signals of participant. The results indicate that not all kinds of basic emotion were expressed in facial expressions

错误

,NSGA-II-AMO: A Faster Genetic Algorithm for QWSCP,or QoS parameters. However, different scenarios have various sensitivities to each parameter, researchers prefer algorithms that solve the problem to output non-dominated solution sets. NSGA-II, a genetic algorithm, has become one of the most contacted algorithms for solving the QWSCP problem due to

flaunt

,Skeletal Muscle Segmentation at the Third Lumbar Vertebral Level in Radiotherapy CT Images,ficient and 95th percentile of the Hausdorff distance are used to assess the segmentation accuracy, and they are 93.8 ± 1.6 % and 4.8 ± 1.2 mm, respectively, averaged over the entire dataset. In conclusion, the proposed algorithm is demonstrated to be accurate in segmenting skeletal muscles at the L3 level in radiotherapy CT images.