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Modified Garden Balsan Optimization Based Machine Learning for Intrusion Detection 基于改进Garden Balsan优化的入侵检测机器学习
IF 2.2 4区 计算机科学
Computer Systems Science and Engineering Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.034137
M. Duhayyim, Jaber S. Alzahrani, H. Mengash, Mrim M. Alnfiai, Radwa Marzouk, Gouse Pasha Mohammed, Mohammed Rizwanullah, Amgad Atta Abdelmageed
{"title":"Modified Garden Balsan Optimization Based Machine Learning for Intrusion Detection","authors":"M. Duhayyim, Jaber S. Alzahrani, H. Mengash, Mrim M. Alnfiai, Radwa Marzouk, Gouse Pasha Mohammed, Mohammed Rizwanullah, Amgad Atta Abdelmageed","doi":"10.32604/csse.2023.034137","DOIUrl":"https://doi.org/10.32604/csse.2023.034137","url":null,"abstract":"","PeriodicalId":50634,"journal":{"name":"Computer Systems Science and Engineering","volume":"202 1","pages":"1471-1485"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80220887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Optimized Approach for Spectrum Utilization in mmWave Massive MIMO 5G Wireless Networks 毫米波大规模MIMO 5G无线网络频谱利用的优化方法
IF 2.2 4区 计算机科学
Computer Systems Science and Engineering Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.037976
E. M. Abdelrahim, Mona A. Alduailij, Mai A. Alduailij, R. Mansour, O. Ghoneim
{"title":"An Optimized Approach for Spectrum Utilization in mmWave Massive MIMO 5G Wireless Networks","authors":"E. M. Abdelrahim, Mona A. Alduailij, Mai A. Alduailij, R. Mansour, O. Ghoneim","doi":"10.32604/csse.2023.037976","DOIUrl":"https://doi.org/10.32604/csse.2023.037976","url":null,"abstract":"","PeriodicalId":50634,"journal":{"name":"Computer Systems Science and Engineering","volume":"45 1","pages":"1493-1505"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76480140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent Deep Convolutional Neural Network Based Object Detection Model for Visually Challenged People 基于智能深度卷积神经网络的视障人群目标检测模型
IF 2.2 4区 计算机科学
Computer Systems Science and Engineering Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.036980
S. Devi, A. Albraikan, F. Al-Wesabi, Mohamed K. Nour, Ahmed Ashour, A. Hilal
{"title":"Intelligent Deep Convolutional Neural Network Based Object Detection Model for Visually Challenged People","authors":"S. Devi, A. Albraikan, F. Al-Wesabi, Mohamed K. Nour, Ahmed Ashour, A. Hilal","doi":"10.32604/csse.2023.036980","DOIUrl":"https://doi.org/10.32604/csse.2023.036980","url":null,"abstract":"","PeriodicalId":50634,"journal":{"name":"Computer Systems Science and Engineering","volume":"6 1","pages":"3191-3207"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78516421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
De-Noising Brain MRI Images by Mixing Concatenation and Residual Learning (MCR) 混合拼接和残差学习(MCR)对脑MRI图像去噪
IF 2.2 4区 计算机科学
Computer Systems Science and Engineering Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.032508
Kazim Ali, Adnan N. Qureshi, Muhammad Shahid Bhatti, A. Sohail, Muhammad Hijji, A. Saeed
{"title":"De-Noising Brain MRI Images by Mixing Concatenation and Residual Learning (MCR)","authors":"Kazim Ali, Adnan N. Qureshi, Muhammad Shahid Bhatti, A. Sohail, Muhammad Hijji, A. Saeed","doi":"10.32604/csse.2023.032508","DOIUrl":"https://doi.org/10.32604/csse.2023.032508","url":null,"abstract":"","PeriodicalId":50634,"journal":{"name":"Computer Systems Science and Engineering","volume":"125 1","pages":"1167-1186"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79204645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Identifying Severity of COVID-19 Medical Images by Categorizing Using HSDC Model 利用HSDC模型分类识别COVID-19医学图像的严重程度
IF 2.2 4区 计算机科学
Computer Systems Science and Engineering Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.038343
K. Ravishankar, C. Jothikumar
{"title":"Identifying Severity of COVID-19 Medical Images by Categorizing Using HSDC Model","authors":"K. Ravishankar, C. Jothikumar","doi":"10.32604/csse.2023.038343","DOIUrl":"https://doi.org/10.32604/csse.2023.038343","url":null,"abstract":"","PeriodicalId":50634,"journal":{"name":"Computer Systems Science and Engineering","volume":"11 1","pages":"613-635"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79357504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Performance Analysis of Hybrid RR Algorithm for Anomaly Detection in Streaming Data 混合RR算法在流数据异常检测中的性能分析
IF 2.2 4区 计算机科学
Computer Systems Science and Engineering Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.031169
L. Amudha, R. Pushpalakshmi
{"title":"Performance Analysis of Hybrid RR Algorithm for Anomaly Detection in Streaming Data","authors":"L. Amudha, R. Pushpalakshmi","doi":"10.32604/csse.2023.031169","DOIUrl":"https://doi.org/10.32604/csse.2023.031169","url":null,"abstract":"","PeriodicalId":50634,"journal":{"name":"Computer Systems Science and Engineering","volume":"89 1","pages":"2299-2312"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76705601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Feature Selection with Deep Reinforcement Learning for Intrusion Detection System 基于深度强化学习的入侵检测系统特征选择
IF 2.2 4区 计算机科学
Computer Systems Science and Engineering Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.030630
S. Priya, K. Kumar
{"title":"Feature Selection with Deep Reinforcement Learning for Intrusion Detection System","authors":"S. Priya, K. Kumar","doi":"10.32604/csse.2023.030630","DOIUrl":"https://doi.org/10.32604/csse.2023.030630","url":null,"abstract":"","PeriodicalId":50634,"journal":{"name":"Computer Systems Science and Engineering","volume":"20 1","pages":"3339-3353"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86937157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
CBOE Volatility Index Forecasting under COVID-19: An Integrated BiLSTM-ARIMA-GARCH Model 基于BiLSTM-ARIMA-GARCH模型的2019冠状病毒病疫情下CBOE波动率指数预测
IF 2.2 4区 计算机科学
Computer Systems Science and Engineering Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.033247
Min Hyung Park, Dongyan Nan, Yerin Kim, Jang-Hyun Kim
{"title":"CBOE Volatility Index Forecasting under COVID-19: An Integrated BiLSTM-ARIMA-GARCH Model","authors":"Min Hyung Park, Dongyan Nan, Yerin Kim, Jang-Hyun Kim","doi":"10.32604/csse.2023.033247","DOIUrl":"https://doi.org/10.32604/csse.2023.033247","url":null,"abstract":"","PeriodicalId":50634,"journal":{"name":"Computer Systems Science and Engineering","volume":"17 1","pages":"121-134"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87350359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development of Energy Management System for Micro Grid Operation 微电网运行能量管理系统的开发
IF 2.2 4区 计算机科学
Computer Systems Science and Engineering Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.032038
S. Jayaprakash, B. Gopi, M. Raj, S. Sujith, S. Deepa, S. Swapna
{"title":"Development of Energy Management System for Micro Grid Operation","authors":"S. Jayaprakash, B. Gopi, M. Raj, S. Sujith, S. Deepa, S. Swapna","doi":"10.32604/csse.2023.032038","DOIUrl":"https://doi.org/10.32604/csse.2023.032038","url":null,"abstract":"","PeriodicalId":50634,"journal":{"name":"Computer Systems Science and Engineering","volume":"59 1","pages":"2537-2551"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84933246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Quantum Inspired Differential Evolution with Explainable Artificial Intelligence-Based COVID-19 Detection 基于可解释人工智能的COVID-19检测的量子启发差分进化
IF 2.2 4区 计算机科学
Computer Systems Science and Engineering Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.034449
Abdullah M. Basahel, Mohammad Yamin
{"title":"Quantum Inspired Differential Evolution with Explainable Artificial Intelligence-Based COVID-19 Detection","authors":"Abdullah M. Basahel, Mohammad Yamin","doi":"10.32604/csse.2023.034449","DOIUrl":"https://doi.org/10.32604/csse.2023.034449","url":null,"abstract":"Recent advancements in the Internet of Things (Io), 5G networks, and cloud computing (CC) have led to the development of Human-centric IoT (HIoT) applications that transform human physical monitoring based on machine monitoring. The HIoT systems find use in several applications such as smart cities, healthcare, transportation, etc. Besides, the HIoT system and explainable artificial intelligence (XAI) tools can be deployed in the healthcare sector for effective decision-making. The COVID-19 pandemic has become a global health issue that necessitates automated and effective diagnostic tools to detect the disease at the initial stage. This article presents a new quantum-inspired differential evolution with explainable artificial intelligence based COVID-19 Detection and Classification (QIDEXAI-CDC) model for HIoT systems. The QIDEXAI-CDC model aims to identify the occurrence of COVID-19 using the XAI tools on HIoT systems. The QIDEXAI-CDC model primarily uses bilateral filtering (BF) as a preprocessing tool to eradicate the noise. In addition, RetinaNet is applied for the generation of useful feature vectors from radiological images. For COVID-19 detection and classification, quantum-inspired differential evolution (QIDE) with kernel extreme learning machine (KELM) model is utilized. The utilization of the QIDE algorithm helps to appropriately choose the weight and bias values of the KELM model. In order to report the enhanced COVID-19 detection outcomes of the QIDEXAI-CDC model, a wide range of simulations was carried out. Extensive comparative studies reported the supremacy of the QIDEXAI-CDC model over the recent approaches. © 2023 Authors. All rights reserved.","PeriodicalId":50634,"journal":{"name":"Computer Systems Science and Engineering","volume":"33 1","pages":"209-224"},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85538940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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