Pub Date : 2023-12-01DOI: 10.12928/telkomnika.v21i6.24945
Sara Said, Sara El mattar, A. Faize, Abdenacer Es-Salhi, Baghaz Elhadi, A. Baghdad
ABSTRACT
摘要。
{"title":"Patch antenna design based on 1D-EBG structures for high gain applications","authors":"Sara Said, Sara El mattar, A. Faize, Abdenacer Es-Salhi, Baghaz Elhadi, A. Baghdad","doi":"10.12928/telkomnika.v21i6.24945","DOIUrl":"https://doi.org/10.12928/telkomnika.v21i6.24945","url":null,"abstract":"ABSTRACT","PeriodicalId":38281,"journal":{"name":"Telkomnika (Telecommunication Computing Electronics and Control)","volume":"28 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138624082","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}
Pub Date : 2023-12-01DOI: 10.12928/telkomnika.v21i6.25353
Mustafa Abbas Shober, Rami Tawil
{"title":"Law enforcement and position locatings in LTE network (status and challenges)","authors":"Mustafa Abbas Shober, Rami Tawil","doi":"10.12928/telkomnika.v21i6.25353","DOIUrl":"https://doi.org/10.12928/telkomnika.v21i6.25353","url":null,"abstract":"","PeriodicalId":38281,"journal":{"name":"Telkomnika (Telecommunication Computing Electronics and Control)","volume":"104 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138608885","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}
Pub Date : 2023-12-01DOI: 10.12928/telkomnika.v21i6.22182
Redouane Berber, M. Chetioui, F. Bouasria, A. Boudkhil, M. Damou, Fatima Zohra Driss Khoudja
,
，
{"title":"Efficient 2D NZCC/MD code for SAC-OCDMA systems based on direct spectral/spatial dimension detection and WF","authors":"Redouane Berber, M. Chetioui, F. Bouasria, A. Boudkhil, M. Damou, Fatima Zohra Driss Khoudja","doi":"10.12928/telkomnika.v21i6.22182","DOIUrl":"https://doi.org/10.12928/telkomnika.v21i6.22182","url":null,"abstract":",","PeriodicalId":38281,"journal":{"name":"Telkomnika (Telecommunication Computing Electronics and Control)","volume":" 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138613878","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}
Pub Date : 2023-12-01DOI: 10.12928/telkomnika.v21i6.24082
Muhammad Naqib Mat Yunoh, Nurul Syahirah Mohamed Hashim, Zulkarami Che Musa, Mahathir Muhamad, Abd Aziz Mat Hassa, Norzalizah Bahari
ABSTRACT
摘要。
{"title":"Understanding the factors influencing the adoption of e-wallets by Malaysian youth","authors":"Muhammad Naqib Mat Yunoh, Nurul Syahirah Mohamed Hashim, Zulkarami Che Musa, Mahathir Muhamad, Abd Aziz Mat Hassa, Norzalizah Bahari","doi":"10.12928/telkomnika.v21i6.24082","DOIUrl":"https://doi.org/10.12928/telkomnika.v21i6.24082","url":null,"abstract":"ABSTRACT","PeriodicalId":38281,"journal":{"name":"Telkomnika (Telecommunication Computing Electronics and Control)","volume":" 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138616499","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}
Pub Date : 2023-12-01DOI: 10.12928/telkomnika.v21i6.24939
S. Elouaham, B. Nassiri, A. Dliou, H. Zougagh, N. El Kamoun, Khalid El Khadiri, Sara Said
ABSTRACT
摘要。
{"title":"Combination time-frequency and empirical wavelet transform methods for removal of composite noise in EMG signals","authors":"S. Elouaham, B. Nassiri, A. Dliou, H. Zougagh, N. El Kamoun, Khalid El Khadiri, Sara Said","doi":"10.12928/telkomnika.v21i6.24939","DOIUrl":"https://doi.org/10.12928/telkomnika.v21i6.24939","url":null,"abstract":"ABSTRACT","PeriodicalId":38281,"journal":{"name":"Telkomnika (Telecommunication Computing Electronics and Control)","volume":"61 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138627593","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}
Pub Date : 2023-12-01DOI: 10.12928/telkomnika.v21i6.25253
Lujain S. Abdulla, Abdulmuttalib A-Wahab Hussein, M. T. Hamood
{"title":"Unified algorithms for generalized new mersenne number transforms","authors":"Lujain S. Abdulla, Abdulmuttalib A-Wahab Hussein, M. T. Hamood","doi":"10.12928/telkomnika.v21i6.25253","DOIUrl":"https://doi.org/10.12928/telkomnika.v21i6.25253","url":null,"abstract":"","PeriodicalId":38281,"journal":{"name":"Telkomnika (Telecommunication Computing Electronics and Control)","volume":" 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138611220","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}
Pub Date : 2023-12-01DOI: 10.12928/telkomnika.v21i6.25389
S. A. Ayoob, Firas S. Alsharbaty, Amina N. Hammodat
{"title":"Design and simulation of high efficiency rectangular microstrip patch antenna using artificial intelligence for 6G era","authors":"S. A. Ayoob, Firas S. Alsharbaty, Amina N. Hammodat","doi":"10.12928/telkomnika.v21i6.25389","DOIUrl":"https://doi.org/10.12928/telkomnika.v21i6.25389","url":null,"abstract":"","PeriodicalId":38281,"journal":{"name":"Telkomnika (Telecommunication Computing Electronics and Control)","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138618797","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}
Pub Date : 2023-12-01DOI: 10.12928/telkomnika.v21i6.25211
Mahmudul Hasan, Md. Fazle Rabbi, Md. Nahid Sultan, A. M. Nitu, Md. Palash Uddin
Classification is a predictive modelling task in machine learning (ML), where the class label is determined for a specific example of predefined features. In determining handwriting characters, identifying spam, detecting disease, identifying signals, and so on, classification requires training data with many features and label instances. In medical informatics, high precision and recall are mandatory issues besides the high accuracy of the ML classifiers. Most of the real-life datasets have imbalanced characteristics that hamper the overall performance of the classifiers. Existing data balancing techniques perform the whole dataset at a time that sometimes causes overfitting and underfitting. We propose a data balancing technique that follows the divide and conquer procedure to cluster the dataset into several segments, and both oversampling and undersam-pling operation is performed on each cluster. Finally, the cluster joined together and built a balanced dataset. We chose the sample data of two heart disease datasets: Hungarian and Long Beach. Logistic regression and random forest classifier are the representatives of ML algorithms. We compare our proposed techniques with existing SMOTE, NearMiss, and SMOTETomek data balancing techniques. Both algorithms perform better on the proposed technique-balanced dataset. This technique can be the optimal solution for the imbalanced data handling strategy.
{"title":"A novel data balancing technique via resampling majority and minority classes toward effective classification","authors":"Mahmudul Hasan, Md. Fazle Rabbi, Md. Nahid Sultan, A. M. Nitu, Md. Palash Uddin","doi":"10.12928/telkomnika.v21i6.25211","DOIUrl":"https://doi.org/10.12928/telkomnika.v21i6.25211","url":null,"abstract":"Classification is a predictive modelling task in machine learning (ML), where the class label is determined for a specific example of predefined features. In determining handwriting characters, identifying spam, detecting disease, identifying signals, and so on, classification requires training data with many features and label instances. In medical informatics, high precision and recall are mandatory issues besides the high accuracy of the ML classifiers. Most of the real-life datasets have imbalanced characteristics that hamper the overall performance of the classifiers. Existing data balancing techniques perform the whole dataset at a time that sometimes causes overfitting and underfitting. We propose a data balancing technique that follows the divide and conquer procedure to cluster the dataset into several segments, and both oversampling and undersam-pling operation is performed on each cluster. Finally, the cluster joined together and built a balanced dataset. We chose the sample data of two heart disease datasets: Hungarian and Long Beach. Logistic regression and random forest classifier are the representatives of ML algorithms. We compare our proposed techniques with existing SMOTE, NearMiss, and SMOTETomek data balancing techniques. Both algorithms perform better on the proposed technique-balanced dataset. This technique can be the optimal solution for the imbalanced data handling strategy.","PeriodicalId":38281,"journal":{"name":"Telkomnika (Telecommunication Computing Electronics and Control)","volume":" 919","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138610444","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}
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