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检索条件"机构=Computer Science and Data Science"
30253 条 记 录,以下是81-90 订阅
排序:
Image-Based Natural Disaster Classification with Deep Learning: A Comparative Analysis
Image-Based Natural Disaster Classification with Deep Learni...
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2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2024
作者: Alamsyah, Samuel Eka Djamhari, Simen Ferdinand Sudjono, Salomo Hendrian Gunawan, Alexander A.S. Setiawan, Karli Eka Data Science Program Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia
Natural disasters, including earthquakes, cyclones, floods, and wildfires, cause significant environmental damage and have emerged as a major global issue. These events can result in loss of life and disrupt communiti... 详细信息
来源: 评论
Interpretable Machine Learning in Leveraging Customer Information for Success Direct Marketing Campaigns  10
Interpretable Machine Learning in Leveraging Customer Inform...
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10th International Conference on Smart Computing and Communication, ICSCC 2024
作者: Octavia Tjandra, Clarissa Shirley Cam, Grace Agung Santoso Gunawan, Alexander Eka Setiawan, Karli School of Computer Science Bina Nusantara University Data Science Program Computer Science Department Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia
A bank's marketing campaign execution is very important. Undoubtedly, a well-crafted marketing plan will contribute to the bank's increased revenue. Marketing is crucial because it can be used to connect with ... 详细信息
来源: 评论
Machine Learning for Imbalanced data in Telecom Churn Classification
Machine Learning for Imbalanced Data in Telecom Churn Classi...
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2024 International Conference on Information Technology Research and Innovation, ICITRI 2024
作者: Dewi, Olivia Intan Permata Santiko, Vina Nathania Safa, Snow White Putri Gunawan, Alexander Agung Santoso Setiawan, Karli Eka Bina Nusantara University School of Computer Science Data Science Program Computer Science Department Jakarta11480 Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia
In the highly competitive telecommunications industry, customer churn poses a significant threat to revenue and long-term sustainability. To proactively address this challenge, machine learning (ML) techniques offer p... 详细信息
来源: 评论
Assessing IT Job Candidates Through Interpretable Machine Learning Model  10
Assessing IT Job Candidates Through Interpretable Machine Le...
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10th International Conference on Smart Computing and Communication, ICSCC 2024
作者: Sukardi, Andrew Saputra, Jayagatha Hariman, Sebastian Gunawan, Alexander Agung Santoso Setiawan, Karli Eka School of Computer Science Bina Nusantara University Data Science Program Computer Science Department Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia
The escalating demand for skilled IT professionals underscores the increasing significance of the recruitment process. Traditional methods often fall short in identifying individuals poised for success in the dynamic ... 详细信息
来源: 评论
Regression-Based Exploration of Factors Influencing Movie Profits
Regression-Based Exploration of Factors Influencing Movie Pr...
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2024 International of Seminar on Application for Technology of Information and Communication, iSemantic 2024
作者: Veronica, Lindawaty Wibowo, Tifara Beata Gunawan, Alexander Agung Santoso Setiawan, Karli Eka School of Computer Science Bina Nusantara University Data Science Program Computer Science Department Jakarta11480 Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia
Accurate box office prediction is crucial for managing financial risks in film production. The internet has transformed consumer behavior, affecting marketing strategies. Critical online reviews, more than early reven... 详细信息
来源: 评论
Enhancing Tourism Industry Insights: LeveragingLDA and KMeans for Topic Extraction in Indonesian OTAs' Reviews  12
Enhancing Tourism Industry Insights: LeveragingLDA and KMean...
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12th International Conference on Information and Communication Technology, ICoICT 2024
作者: Castilani, Laurentia Alyssa Winata, Natasha Hartanti Nugraha, Nathania Christy Gunawan, Alexander Agung Santoso Setiawan, Karli Eka Wulandari, Lili Ayu School of Computer Science Bina Nusantara University Data Science Program Computer Science Department Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia
Indonesia's tourism sector, boosted by its captivating landscapes, has seen a rise in the popularity of Online Travel Agencies (OTAs) like Traveloka, ***, and Agoda. To effectively assist tourists, OTAs are antici... 详细信息
来源: 评论
HIV Inhibitory Activity Classification with Morgan Fingerprint and Integrated Graph-Based Deep Learning  12
HIV Inhibitory Activity Classification with Morgan Fingerpri...
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12th International Conference on Information and Communication Technology, ICoICT 2024
作者: Verna Siswanto, Jocelyn Angelina Sunarya, Caroline Calista, Agnes Agung Santoso Gunawan, Alexander Eka Setiawan, Karli School of Computer Science Bina Nusantara University Data Science Program Computer Science Department Jakarta11480 Indonesia School of Computer Science Computer Science Department Bina Nusantara University Jakarta11480 Indonesia
This research offers a new perspective on predicting the activity of the HIV virus from the Drug Therapeutics Program (DTP) Antiviral Screen by using the molecular data represented in SMILES notation. The topic has si... 详细信息
来源: 评论
Accelerating multiscale electronic stopping power predictions with timedependent density functional theory and machine learning
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npj Computational Materials 2024年 第1期10卷 993-1002页
作者: Logan Ward Ben Blaiszik Cheng-Wei Lee Troy Martin Ian Foster AndréSchleife Data Science and Learning Division Argonne National LaboratoryLemontIL60437USA Department of Computer Science The University of ChicagoChicagoIL60637USA Department of Materials Science and Engineering University of Illinois at Urbana-Champaign UrbanaUrbanaIL61801USA
Knowing the rate at which particle radiation releases energy in a material,the“stopping power,”is key to designing nuclear reactors,medical treatments,semiconductor and quantum materials,and many other *** the nucle... 详细信息
来源: 评论
Evaluating Public Opinion on the 2024 Indonesian Presidential Election Candidate: An IndoBERT Approach to Twitter Sentiment Analysis  10
Evaluating Public Opinion on the 2024 Indonesian Presidentia...
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10th International Conference on Smart Computing and Communication, ICSCC 2024
作者: Tanaja, Rafael Nicholas Widjaya, Andrew Johnny Gunawan, Alexander Agung Santoso Setiawan, Karli Eka School of Computer Science Bina Nusantara University Data Science Program Computer Science Department Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia
As social media significantly shapes societal norms and ethical paradigms, understanding real-time public sentiment provides valuable insights for political parties to evaluate their candidates, key issues, and campai... 详细信息
来源: 评论
Enhancing Online Learning Experience: An Ensemble Approach for Classifying Student Adaptivity Level  4
Enhancing Online Learning Experience: An Ensemble Approach f...
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4th International Conference of science and Information Technology in Smart Administration, ICSINTESA 2024
作者: Mutiara, Belinda Florencia Ariyanto, Gabrielle Felicia Gunawan, Alexander Agung Santoso Setiawan, Karli Eka Bina Nusantara University Data Science Program Computer Science Department School of Computer Science Jakarta11480 Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia
The study investigates the increasing demand of online learning as a means of addressing education issues in the context of the COVID-19 epidemic. Online learning requires several adaptations for teaching methods, lea... 详细信息
来源: 评论