Titlebook: Computational Intelligence Methods for Green Technology and Sustainable Development; Proceedings of the I Yo-Ping Huang,Wen-June Wang,Nguye

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书目名称Computational Intelligence Methods for Green Technology and Sustainable Development影响因子(影响力)




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书目名称Computational Intelligence Methods for Green Technology and Sustainable Development年度引用学科排名




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书目名称Computational Intelligence Methods for Green Technology and Sustainable Development读者反馈学科排名

acrophobia

Mobile Data Traffic Offloading with Content Centric Networkingg CCN protocol to cache contents in the E-UTRAN Node B (eNodeB). With OPNET Modeler simulation tool, we conduct realistic mobile networks with a huge number of mobility LTE MSs access to the same service on a single server. The simulation results show that all MSs requests are responded successfully

bypass

A Computer-Aided Detection to Intracranial Hemorrhage by Using Deep Learning: A Case Study images. The deep-learning model based on MobileNetV2 architecture was trained on RSNA (Radiological Society of North America) Intracranial Hemorrhage dataset. Then it was validated on a dataset of ICH-Vietnamese cases collected from Vinh Long Province Hospital, Vietnam. The experiment indicated tha

ADAGE

A Novel Security Solution for Decentralized Web Systems with Real Time Hot-IPs Detectionh as (distributed) denial-of-service attacks or scanning Internet worm attacks. Detecting Hot-IPs in real time is the first important step that assists administrators in selecting security policies for the system.

Optic-Disk

Proposed Novel Fish Freshness Classification Using Effective Low-Cost Threshold-Based and Neural Netample. The results of 8/9 models reach their 100% of accuracy on the training set and 7/9 at their 100% of accuracy on the testing set. These results confirm our four proposed feature assumptions and reveal the feasibility of the proposed models based on extracted features which are non-invasive, ra

凹室

Malware Classification by Using Deep Learning Frameworkuch more advantageous due to the ability to model complex nonlinear functions compared to principal component analysis (PCA) which is restricted to a linear map. The compressed malware features are then classified with a deep neural network. Preliminary test results are quite promising, with 96% cla

凹室

Attention Mechanism for Fashion Image Captioningion image which is able to cover both items and the relationship among the detailed attributes of items. We introduce an efficient framework for fashion image captioning that incorporates spatial attention inside the traditional encoder-decoder architecture. Our model generates fashion image caption

Flounder

Conference proceedings 2021en energy and power systems, mechanical and computational  mechanic models and advanced civil engineering. This book has 05 sessions consisting of both theoretical and practical aspects, and numerical and experimental analyses in various engineering disciplines..

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