Search Results - "Syafrudin, Muhammad"

Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing by Syafrudin, Muhammad, Alfian, Ganjar, Fitriyani, Norma Latif, Rhee, Jongtae

“…With the increase in the amount of data captured during the manufacturing process, monitoring systems are becoming important factors in decision making for…”
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HDPM: An Effective Heart Disease Prediction Model for a Clinical Decision Support System by Fitriyani, Norma Latif, Syafrudin, Muhammad, Alfian, Ganjar, Rhee, Jongtae

“…Heart disease, one of the major causes of mortality worldwide, can be mitigated by early heart disease diagnosis. A clinical decision support system (CDSS) can…”
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A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing by Alfian, Ganjar, Syafrudin, Muhammad, Ijaz, Muhammad Fazal, Syaekhoni, M Alex, Fitriyani, Norma Latif, Rhee, Jongtae

“…Current technology provides an efficient way of monitoring the personal health of individuals. Bluetooth Low Energy (BLE)-based sensors can be considered as a…”
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Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest by Ijaz, Muhammad, Alfian, Ganjar, Syafrudin, Muhammad, Rhee, Jongtae

“…As the risk of diseases diabetes and hypertension increases, machine learning algorithms are being utilized to improve early stage diagnosis. This study…”
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Development of Disease Prediction Model Based on Ensemble Learning Approach for Diabetes and Hypertension by Fitriyani, Norma Latif, Syafrudin, Muhammad, Alfian, Ganjar, Rhee, Jongtae

“…Early diseases prediction plays an important role for improving healthcare quality and can help individuals avoid dangerous health situations before it is too…”
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CRAS-YOLO: A Novel Multi-Category Vessel Detection and Classification Model Based On YOLOv5s Algorithm by Zhao, Wenxiao, Syafrudin, Muhammad, Fitriyani, Norma Latif

“…Multi-category vessel detection and classification based on satellite imagery attract a lot of attention due to their significant applications in the military…”
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Fourth Industrial Revolution between Knowledge Management and Digital Humanities by Anshari, Muhammad, Syafrudin, Muhammad, Fitriyani, Norma Latif

“…The Fourth Industrial Revolution (4IR) offers optimum productivity and efficiency via automation, expert systems, and artificial intelligence. The Fourth…”
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False Positive RFID Detection Using Classification Models by Alfian, Ganjar, Syafrudin, Muhammad, Yoon, Bohan, Rhee, Jongtae

“…Radio frequency identification (RFID) is an automated identification technology that can be utilized to monitor product movements within a supply chain in…”
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An Affordable Fast Early Warning System for Edge Computing in Assembly Line by Syafrudin, Muhammad, Fitriyani, Norma, Alfian, Ganjar, Rhee, Jongtae

“…Maintaining product quality is essential for smart factories, hence detecting abnormal events in assembly line is important for timely decision-making. This…”
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Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method by Alfian, Ganjar, Syafrudin, Muhammad, Fahrurrozi, Imam, Fitriyani, Norma Latif, Atmaji, Fransiskus Tatas Dwi, Widodo, Tri, Bahiyah, Nurul, Benes, Filip, Rhee, Jongtae

“…Developing a prediction model from risk factors can provide an efficient method to recognize breast cancer. Machine learning (ML) algorithms have been applied…”
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Exploring Community Awareness of Mangrove Ecosystem Preservation through Sentence-BERT and K-Means Clustering by Kusumaningrum, Retno, Khoerunnisa, Selvi Fitria, Khadijah, Khadijah, Syafrudin, Muhammad

“…The mangrove ecosystem is crucial for addressing climate change and supporting marine life. To preserve this ecosystem, understanding community awareness is…”
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Optimisation of Knowledge Management (KM) with Machine Learning (ML) Enabled by Anshari, Muhammad, Syafrudin, Muhammad, Tan, Abby, Fitriyani, Norma Latif, Alas, Yabit

“…The emergence of artificial intelligence (AI) and its derivative technologies, such as machine learning (ML) and deep learning (DL), heralds a new era of…”
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Exploring Tourist Experience through Online Reviews Using Aspect-Based Sentiment Analysis with Zero-Shot Learning for Hospitality Service Enhancement by Nawawi, Ibrahim, Kurnia Fahmy Ilmawan, Maarif, Muhammad Rifqi, Syafrudin, Muhammad

“…Hospitality services play a crucial role in shaping tourist satisfaction and revisiting intention toward destinations. Traditional feedback methods like…”
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Governing with Intelligence: The Impact of Artificial Intelligence on Policy Development by Yar, Muhammad Asfand, Hamdan, Mahani, Anshari, Muhammad, Fitriyani, Norma Latif, Syafrudin, Muhammad

“…As the field of artificial intelligence (AI) continues to evolve, its potential applications in various domains, including public policy development, have…”
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AI in the Financial Sector: The Line between Innovation, Regulation and Ethical Responsibility by Ridzuan, Nurhadhinah Nadiah, Masri, Masairol, Anshari, Muhammad, Fitriyani, Norma Latif, Syafrudin, Muhammad

“…This study examines the applications, benefits, challenges, and ethical considerations of artificial intelligence (AI) in the banking and finance sectors. It…”
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Autonomous Vehicle Safety through the SIFT Method: A Conceptual Analysis by Anshari, Muhammad, Almunawar, Mohammad Nabil, Masri, Masairol, Fitriyani, Norma Latif, Syafrudin, Muhammad

“…This study aims to provide a conceptual analysis of the dynamic transformations occurring in an autonomous vehicle (AV), placing a specific emphasis on the…”
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Improving the performance of self-organizing map using reweighted zero-attracting method by Hameed, Alaa Ali, Jamil, Akhtar, Alazzawi, Esraa Mohammed, Marquez, Fausto Pedro Garcia, Fitriyani, Norma Latif, Gu, Yeonghyeon, Syafrudin, Muhammad

“…In this paper, we introduce a novel approach to enhance the accuracy and convergence behavior of Self-Organizing Maps (SOM) by incorporating a reweighted…”
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Energy Usage Forecasting Model Based on Long Short-Term Memory (LSTM) and eXplainable Artificial Intelligence (XAI) by Maarif, Muhammad Rifqi, Saleh, Arif Rahman, Habibi, Muhammad, Fitriyani, Norma Latif, Syafrudin, Muhammad

“…The accurate forecasting of energy consumption is essential for companies, primarily for planning energy procurement. An overestimated or underestimated…”
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Enhancing Signature Verification Using Triplet Siamese Similarity Networks in Digital Documents by Tehsin, Sara, Hassan, Ali, Riaz, Farhan, Nasir, Inzamam Mashood, Fitriyani, Norma Latif, Syafrudin, Muhammad

“…In contexts requiring user authentication, such as financial, legal, and administrative systems, signature verification emerges as a pivotal biometric method…”
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Efficient 5.8 GHz Microstrip Antennas for Intelligent Transportation Systems: Design, Fabrication, and Performance Analysis by Guneser, Muhammet Tahir, Seker, Cihat, Guler, Mehmet Izzeddin, Fitriyani, Norma Latif, Syafrudin, Muhammad

“…In this study, we designed a high-performance, compact E-shaped microstrip antenna optimized for intelligent transportation systems, operating at 5.8 GHz…”
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