Titlebook: Computational Science – ICCS 2021; 21st International C Maciej Paszynski,Dieter Kranzlmüller,Peter M.A. Sl Conference proceedings 2021 Spri

纪念性

书目名称Computational Science – ICCS 2021影响因子(影响力)




书目名称Computational Science – ICCS 2021影响因子(影响力)学科排名




书目名称Computational Science – ICCS 2021网络公开度




书目名称Computational Science – ICCS 2021网络公开度学科排名




书目名称Computational Science – ICCS 2021被引频次




书目名称Computational Science – ICCS 2021被引频次学科排名




书目名称Computational Science – ICCS 2021年度引用




书目名称Computational Science – ICCS 2021年度引用学科排名




书目名称Computational Science – ICCS 2021读者反馈




书目名称Computational Science – ICCS 2021读者反馈学科排名

杠杆支点

Fake or Real? The Novel Approach to Detecting Online Disinformation Based on Multi ML Classifiersnment, and sports. This paper presents how ML can be used for detecting fake news. The problem of online disinformation has recently become one of the most challenging issues of computer science. Methods: in this research, a fake news detection method based on multi classifiers (CNN, XGBoost, Random

Grievance

Transformer Based Models in Fake News Detectionl metrics were proposed as a measure of the model quality assessment. Neural network architectures, based on the state-of-the-art solutions of the Transformer type were applied to create the models. The computing capabilities of the Google Colaboratory remote platform, as well as the Flair library,

Optometrist

粗俗人

Bluetooth Low Energy Livestock Positioning for Smart Farming Applicationsation incurs additional requirements and trade-offs that often do not fit into application constraints – use of specific radio technologies, increased communication, computational, and energy costs. This paper presents a localization method that was designed for Smart Farming and applies to a wide r

ROOF

ROOF

A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather Histigation and water resources for crops is necessary to increase the efficiency of water usage. Many optimization approaches maximize crop yield or profit but do not consider the impact on the environment. We propose a machine learning approach based on the crop simulation model WOFOST to assess the c

linear

Verify

Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithmed as a protective system for adjacent structures that may pound to each other. With a suitable optimization methodology, it is possible to find an optimally tuned TMD that is effective in reducing the responses of structure with an additional protective feature that reduces the amount of required s

Colonnade