{"title":"Fire detection using surveillance systems","authors":"Hanan Samir Mahmoud","doi":"10.21622/ace.2024.04.1.774","DOIUrl":"https://doi.org/10.21622/ace.2024.04.1.774","url":null,"abstract":"","PeriodicalId":337392,"journal":{"name":"Advances in Computing and Engineering","volume":"21 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140436162","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}
{"title":"Unveiling insights from unstructured wealth: a comparative analysis of clustering techniques on blockchain cryptocurrency data","authors":"R. Haraty, Salma Sobeh","doi":"10.21622/ace.2024.04.1.698","DOIUrl":"https://doi.org/10.21622/ace.2024.04.1.698","url":null,"abstract":"","PeriodicalId":337392,"journal":{"name":"Advances in Computing and Engineering","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139592337","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}
Ahmad A. Goudah, Maximilian Jarofka, Mohmed El-Habrouk, Dieter Schramm, Yasser G. Dessouky
{"title":"Object detection in inland vessels using combined trained and pretrained models of YOLO8","authors":"Ahmad A. Goudah, Maximilian Jarofka, Mohmed El-Habrouk, Dieter Schramm, Yasser G. Dessouky","doi":"10.21622/ace.2023.03.2.064","DOIUrl":"https://doi.org/10.21622/ace.2023.03.2.064","url":null,"abstract":"","PeriodicalId":337392,"journal":{"name":"Advances in Computing and Engineering","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139259039","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}
{"title":"An Innovative Automatic Indexing Method for Arabic Text. (c2020)","authors":"Nour Masri","doi":"10.26756/th.2022.445","DOIUrl":"https://doi.org/10.26756/th.2022.445","url":null,"abstract":"Automatic indexing and texts retrieval methods for languages have been studied for a long time. Compared to other languages, there is still limited research which has been conducted for the automated Arabic Text Categorization. In this work, we present an innovative method to reinforce the accuracy of automatic indexing of Arabic texts by introducing a Thesaurus. Our model extracts new relevant words by referring to the introduced thesaurus which identi es words correlation. The Thesaurus is built through an NLTK toolkit which contains a library that lists the synonyms of a certain word available in WordNet library. The words having the same meaning and that frequently appear together were grouped under one umbrella using a JSON dictionary making it easier to identify the texts topic. Our results exhibit notable improvement in accuracy and efficiency compared to previous works.","PeriodicalId":337392,"journal":{"name":"Advances in Computing and Engineering","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124581526","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}
{"title":"A framework for utilizing unexplored game elements in designing learning systems","authors":"Sara Adel Elshorbagy, N. Sherief, W. Abdelmoez","doi":"10.21622/ace.2022.02.2.096","DOIUrl":"https://doi.org/10.21622/ace.2022.02.2.096","url":null,"abstract":"","PeriodicalId":337392,"journal":{"name":"Advances in Computing and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129578829","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}
{"title":"Supply chain management and optimization in transportation logistics","authors":"S. Krichen","doi":"10.21622/ace.2022.02.2.070","DOIUrl":"https://doi.org/10.21622/ace.2022.02.2.070","url":null,"abstract":"","PeriodicalId":337392,"journal":{"name":"Advances in Computing and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128717281","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}
Radwa K. Hamad, A. Zaki, Mohamed Mohamed Omar, Marwa H. Sharraf
{"title":"A multi-band MIMO antenna system with coupled-fed modified rectangular patch elements for 5G systems","authors":"Radwa K. Hamad, A. Zaki, Mohamed Mohamed Omar, Marwa H. Sharraf","doi":"10.21622/ace.2022.02.2.073","DOIUrl":"https://doi.org/10.21622/ace.2022.02.2.073","url":null,"abstract":"","PeriodicalId":337392,"journal":{"name":"Advances in Computing and Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128696994","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}
{"title":"Modern architectures convolutional neural networks in human activity recognition","authors":"H. Mahmoud","doi":"10.21622/ace.2022.02.1.001","DOIUrl":"https://doi.org/10.21622/ace.2022.02.1.001","url":null,"abstract":"","PeriodicalId":337392,"journal":{"name":"Advances in Computing and Engineering","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127337499","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}
Ahmad A. Goudah, M. El-Habrouk, D. Schramm, Y. Dessouky
{"title":"Customer active power consumption prediction for the next day based on historical profile","authors":"Ahmad A. Goudah, M. El-Habrouk, D. Schramm, Y. Dessouky","doi":"10.21622/ace.2022.02.1.017","DOIUrl":"https://doi.org/10.21622/ace.2022.02.1.017","url":null,"abstract":"Energy consumption prediction application is one of the most important fields that is artificially controlled with Artificial Intelligence technologies to maintain accuracy for electricity market costs reduction. This work presents a way to build and apply a model to each costumer in residential buildings. This model is built by using Long Short Term Memory (LSTM) networks to address a demonstration of time-series prediction problem and Deep Learning to take into consideration the historical consumption of customers and hourly load profiles in order to predict future consumption. Using this model, the most probable sequence of a certain industrial customer’s consumption levels for a coming day is predicted. In the case of residential customers, determining the particular period of the prediction in terms of either a year or a month would be helpful and more accurate due to changes in consumption according to the changes in temperature and weather conditions in general. Both of them are used together in this research work to make a wide or narrow prediction window. A test data set for a set of customers is used. Consumption readings for any customer in the test data set applying LSTM model are varying between minimum and maximum values of active power consumption. These values are always alternating during the day according to customer consumption behavior. This consumption variation leads to leveling all readings to be determined in a finite set and deterministic values. These levels could be then used in building the prediction model. Levels of consumption’s are modeling states in the transition matrix. Twenty-five readings are recorded per day on each hour and cover leap years extra ones. Emission matrix is built using twenty five values numbered from one to twenty five and represent the observations. Calculating probabilities of being in each level (node) is also covered. Logistic Regression Algorithm is used to determine the most probable nodes for the next 25 hours in case of residential or industrial customers.","PeriodicalId":337392,"journal":{"name":"Advances in Computing and Engineering","volume":"4 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113955027","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}
{"title":"MEMS and NEMS - micro (and nano) electromechanical systems","authors":"R. Abdelrassoul","doi":"10.21622/480","DOIUrl":"https://doi.org/10.21622/480","url":null,"abstract":"MEMS and NEMS use and application are growing and their market is expanding. With the development of 5G and IoT technologies, the number of MEMS components is always increasing. In this paper gives an introduction of MEMS/NEMS definition, categories, and advantages. Fabrication techniques of MEMS/NEMS are also discussed. Finally, an elaborative analysis of the different applications of MEMS/NEMS is highlighted, followed by a discussion of the future of Micro/Nano electromechanical Systems","PeriodicalId":337392,"journal":{"name":"Advances in Computing and Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117205532","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}