Titlebook: Computational Intelligence, Data Analytics and Applications; Selected papers from Fausto Pedro García Márquez,Akhtar Jamil,Alaa Ali Confer

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書目名稱Computational Intelligence, Data Analytics and Applications影響因子(影響力)




書目名稱Computational Intelligence, Data Analytics and Applications影響因子(影響力)學科排名




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書目名稱Computational Intelligence, Data Analytics and Applications網(wǎng)絡(luò)公開度學科排名




書目名稱Computational Intelligence, Data Analytics and Applications被引頻次




書目名稱Computational Intelligence, Data Analytics and Applications被引頻次學科排名




書目名稱Computational Intelligence, Data Analytics and Applications年度引用




書目名稱Computational Intelligence, Data Analytics and Applications年度引用學科排名




書目名稱Computational Intelligence, Data Analytics and Applications讀者反饋




書目名稱Computational Intelligence, Data Analytics and Applications讀者反饋學科排名

Conspiracy

Autonomous Mobile Robot Mapping and Exploration of an Indoor Environment,contact configuration and the subsequent motion required by the task. SLAM solves the challenge of robots exploring an unknown area. The robot’s goal is to collect information while exploring the environment to develop a map it, so it wants to use its map to determine its location. The current study

SPURN

,Medical Image Transmission Using a?Secure Cryptographic Approach for?IoMT Applications,eliminates data loss, encryption is the greatest solution for image secrecy. Traditional encryption methods, on the other hand, are difficult to apply to electronic health data due to data size limitations, redundancy, and scalability, especially when the data of a patient is delivered via different

Cursory

paragon

Assessment of Grey Wolf Optimizer and Its Variants on Benchmark Functions,e is no need for information during the first search, GWO has been adapted to different optimization problems, giving it superiority over other metaheuristic methods. At the same time, it is easy to use, simple, scalable, and adaptable, with its unique ability to provide the ideal balance throughout

PRISE

PRISE

本能

HST-Detector: A Multimodal Deep Learning System for Twitter Spam Detection, good detection rate. To bypass the existing systems and reduce their recognition rate, attackers inject spam information into various portions of tweets and fuse them. Therefore, a powerful Heterogeneous Spam Tweets (HST) filtering system is necessary to fully protect users. To address the above ch

斗志

Analysis of Deep Learning Sequence Models for Short Term Load Forecasting,vironmental aspects. In this study, two different deep learning (DL) model architectures based on Long Short Term Memory (LSTM) and Convolutional Neural Networks (CNN) were tested and compared on load datasets from Spain and Turkey. In addition, a novel Long Short Term Memory (LSTM) model with embed

開始發(fā)作

Security Issues for Banking Systems,ir clientele and constituents. Since the early 2000s, banks and other financial institutions have grown increasingly reliant on computers and the internet to manage day-to-day operations, client interactions, and market activity. Damage to a bank‘s reputation and bottom line can result from security