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Artificial Intelligence Based Prostate Cancer Classification Model Using Biomedical Images 基于人工智能的生物医学图像前列腺癌分类模型
Pub Date : 1900-01-01 DOI: 10.32604/cmc.2022.026131
Areej A. Malibari, R. Alshahrani, Fahd N Al-Wesabi, Siwar Ben haj hassine, Mimouna Abdullah Alkhonaini, Anwer Mustafa Hilal
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引用次数: 5
Modeling CO2 Emission in Residential Sector of Three Countries in Southeast of Asia by Applying Intelligent Techniques 基于智能技术的东南亚三国住宅部门CO2排放模拟
Pub Date : 1900-01-01 DOI: 10.32604/cmc.2023.034726
M. Sharifpur, M. Salem, Yonis M Buswig, Habib Forootan Fard, J. Rungamornrat
: Residential sector is one of the energy-consuming districts of countries that causes CO 2 emission in large extent. In this regard, this sector must be considered in energy policy making related to the reduction of emission of CO 2 and other greenhouse gases. In the present work, CO 2 emission related to the residential sector of three countries, including Indonesia, Thailand, and Vietnam in Southeast Asia, are discussed and modeled by employing Group Method of Data Handling (GMDH) and Multilayer Perceptron (MLP) neural networks as powerful intelligent methods. Prior to modeling, data related to the energy consumption of these countries are represented, discussed, and analyzed. Subsequently, to propose a model, electricity, natural gas, coal, and oil products consumptions are applied as inputs, and CO 2 emission is considered as the model’s output. The obtained R 2 values for the generated models based on MLP and GMDH are 0.9987 and 0.9985, respectively. Furthermore, values of the Average Absolute Relative Deviation (AARD) of the regressions using the mentioned techniques are around 4.56% and 5.53%, respectively. These values reveal significant exactness of the models proposed in this article; however, making use of MLP with the optimal architecture would lead to higher accuracy.
住宅部门是各国能源消费领域之一,在很大程度上造成了二氧化碳的排放。在这方面,在制定与减少二氧化碳和其他温室气体排放有关的能源政策时,必须考虑到这一部门。本文以东南亚的印度尼西亚、泰国和越南三个国家为研究对象,采用数据处理分组方法(GMDH)和多层感知器(MLP)神经网络作为强大的智能方法,对住宅部门的CO 2排放进行了讨论和建模。在建模之前,与这些国家的能源消耗相关的数据被表示、讨论和分析。随后,我们将电力、天然气、煤炭和石油产品的消费作为输入,将二氧化碳排放作为模型的输出来构建模型。基于MLP和GMDH生成的模型得到的r2值分别为0.9987和0.9985。使用上述技术回归的平均绝对相对偏差(AARD)分别在4.56%和5.53%左右。这些值表明本文提出的模型具有显著的准确性;然而,利用具有最优架构的MLP可以获得更高的精度。
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引用次数: 2
A Novel S-Box Generation Methodology Based on the Optimized GAN Model 一种基于优化GAN模型的s盒生成方法
Pub Date : 1900-01-01 DOI: 10.32604/cmc.2023.041187
Runlian Zhang, Rui Shu, Yongzhuang Wei, Hailong Zhang, Xiaonian Wu
,
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引用次数: 0
Partially Deep-Learning Encryption Technique 部分深度学习加密技术
Pub Date : 1900-01-01 DOI: 10.32604/cmc.2023.034593
Hamdy M. Mousa
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引用次数: 0
Locomotion of Bioinspired Underwater Snake Robots Using Metaheuristic Algorithm 基于元启发式算法的仿生水下蛇形机器人运动
Pub Date : 1900-01-01 DOI: 10.32604/cmc.2022.024585
Souad Larabi-Marie-Sainte, Taiseer Abdalla Elfadil Eisa, Fahd N Al-Wesabi, Amani Abdulrahman Albraikan, Manar Ahmed Hamza, Abdelwahed Motwakel, Ishfaq Yaseen, Mesfer Al Duhayyim
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引用次数: 0
Energy Management System with Power Offering Strategy for a Microgrid Integrated VPP 微电网集成VPP的能源管理系统及供电策略
Pub Date : 1900-01-01 DOI: 10.32604/cmc.2023.031133
Yeonwoo Lee
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引用次数: 0
JShellDetector: A Java Fileless Webshell Detector Based on Program Analysis JShellDetector:一个基于程序分析的Java无文件Webshell检测器
Pub Date : 1900-01-01 DOI: 10.32604/cmc.2023.034505
Xuyan Song, Yiting Qin, Xinyao Liu, Baojiang Cui, Junsong Fu
{"title":"JShellDetector: A Java Fileless Webshell Detector Based on Program Analysis","authors":"Xuyan Song, Yiting Qin, Xinyao Liu, Baojiang Cui, Junsong Fu","doi":"10.32604/cmc.2023.034505","DOIUrl":"https://doi.org/10.32604/cmc.2023.034505","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127144953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Classification of Human Protein in Multiple Cells Microscopy Images Using燙NN 利用燙神经网络对多细胞显微图像中的人类蛋白质进行分类
Pub Date : 1900-01-01 DOI: 10.32604/cmc.2023.039413
Lina Al-joudi, Muhammad Arif
.
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引用次数: 0
Data-Driven Models for Predicting Solar Radiation in Semi-Arid Regions 半干旱区太阳辐射预测的数据驱动模式
Pub Date : 1900-01-01 DOI: 10.32604/cmc.2023.031406
M. Jamei, N. Bailek, K. Bouchouicha, Muhammed A. Hassan, A. Elbeltagi, Alban Kuriqi, Nadhir Al-Ansar, J. Almorox, El-Sayed M. El-kenawy
{"title":"Data-Driven Models for Predicting Solar Radiation in Semi-Arid Regions","authors":"M. Jamei, N. Bailek, K. Bouchouicha, Muhammed A. Hassan, A. Elbeltagi, Alban Kuriqi, Nadhir Al-Ansar, J. Almorox, El-Sayed M. El-kenawy","doi":"10.32604/cmc.2023.031406","DOIUrl":"https://doi.org/10.32604/cmc.2023.031406","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124741157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Human Pose Estimation and Object Interaction for Sports Behaviour 运动行为的人体姿态估计和物体交互
Pub Date : 1900-01-01 DOI: 10.32604/cmc.2022.023553
Ayesha Arif, Yazeed Yasin Ghadi, Mohammed Alarfaj, A. Jalal, S. Kamal, Dong-Seong Kim
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引用次数: 7
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