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Petrus Mursanto
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2020 – today
- 2024
- [j10]Ari Wibisono
, Denny, Petrus Mursanto, Simon See
Natural generative noise diffusion model imputation. Knowl. Based Syst. 301: 112310 (2024) - [e3]Fenrong Liu
PRICAI 2023: Trends in Artificial Intelligence - 20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023, Jakarta, Indonesia, November 15-19, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14325, Springer 2024, ISBN 978-981-99-7018-6 [contents] - [e2]Fenrong Liu
PRICAI 2023: Trends in Artificial Intelligence - 20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023, Jakarta, Indonesia, November 15-19, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14326, Springer 2024, ISBN 978-981-99-7021-6 [contents] - [e1]Fenrong Liu
PRICAI 2023: Trends in Artificial Intelligence - 20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023, Jakarta, Indonesia, November 15-19, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14327, Springer 2024, ISBN 978-981-99-7024-7 [contents] - 2023
- [j9]Bernadus H. Sirenden, Petrus Mursanto, Sensus Wijonarko
Dynamic texture analysis using Temporal Gray scale Pattern Image for water surface velocity measurement. Image Vis. Comput. 137: 104749 (2023) - [j8]Petrus Mursanto, Ari Wibisono, Puteri Khatya Fahira, Zulia Putri Rahmadhani, Hanif Arief Wisesa:
In-TFK: a scalable traditional food knowledge platform, a new traditional food dataset, platform, and multiprocess inference service. J. Big Data 10(1): 47 (2023) - [j7]Bernadus H. Sirenden, Petrus Mursanto
Galois field transformation effect on space-time-volume velocimetry method for water surface velocity video analysis. Multim. Tools Appl. 82(8): 12167-12189 (2023) - 2020
- [j6]Muhammad Anwar Ma'sum
Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification. Comput. 8(1): 6 (2020) - [j5]Ari Wibisono
Multi Region-Based Feature Connected Layer (RB-FCL) of deep learning models for bone age assessment. J. Big Data 7(1): 67 (2020) - [j4]Ari Wibisono
Traditional food knowledge of Indonesia: a new high-quality food dataset and automatic recognition system. J. Big Data 7(1): 69 (2020) - [j3]Ari Wibisono
Distance variable improvement of time-series big data stream evaluation. J. Big Data 7(1): 85 (2020) - [c30]Petrus Mursanto
Time-Series Big Data Stream Evaluation. IWBIS 2020: 41-46
2010 – 2019
- 2019
- [j2]Ari Wibisono
Tree stream mining algorithm with Chernoff-bound and standard deviation approach for big data stream. J. Big Data 6: 58 (2019) - [c29]Ari Wibisono, Jihan Adibah, Faisal Satrio Priatmadji, Nabilah Zhafira Viderisa, Aisyah Husna, Petrus Mursanto
Segmentation-based Knowledge Extraction from Chest X-ray Images. ACIRS 2019: 225-230 - [c28]Ari Wibisono, Mei Silviana Saputri, Petrus Mursanto
Deep Learning and Classic Machine Learning Approach for Automatic Bone Age Assessment. ACIRS 2019: 235-240 - [c27]Bernadus H. Sirenden, Aniati Murni Arymurthy, Petrus Mursanto
Algorithm Comparisons among Space Time Volume Velocimetry, Horn-Schunk, and Lucas-Kanade for the Analysis of Water Surface Velocity Image Sequences. IC3INA 2019: 47-52 - [c26]Ari Wibisono, Jihan Adibah, Faisal Satrio Priatmadji, Nabilah Zhafira Viderisa, Aisyah Husna, Petrus Mursanto
Performance Analysis of Deep Learning Network Models of Localized Images in Chest X-ray Decision Support System. ICBDR 2019: 54-59 - [c25]Ari Wibisono, Jihan Adibah, Petrus Mursanto
Improvement of Big Data Stream Mining Technique for Automatic Bone Age Assessment. ICBDR 2019: 119-123 - [c24]Wendy D. W. T. Bayu, May Iffah Rizki, Lintang Matahari Hasani
Analysis of Two Various Approaches for Attributes Classification Based on User-Submitted Photos. IJCNN 2019: 1-7 - [c23]Ketut Gde Manik Karvana, Setiadi Yazid, Amril Syalim, Petrus Mursanto
Customer Churn Analysis and Prediction Using Data Mining Models in Banking Industry. IWBIS 2019: 33-38 - [c22]Mei Silviana Saputri, Ari Wibisono, Petrus Mursanto
Comparative Analysis of Automated Bone Age Assessment Techniques. SMC 2019: 3567-3572 - 2018
- [c21]Petrus Mursanto
New Polynomial Based Bit-Level Serial GF(2m) Multiplier for RS(15, 11) 4-bit Codec Optimization. IWBIS 2018: 107-112 - 2017
- [c20]Yulistiyan Wardhana, H. S. Putra, S. I. Sakinah, Wisnu Jatmiko
Block and booth floating point number multiplication algorithms in FPGA's generalized learning vector quantization implementation. IWBIS 2017: 69-75 - [c19]Petrus Mursanto
Rijndael cipher optimization using low complexity serial multiplier based on Karatsuba technology. IWBIS 2017: 127-132 - [c18]Rifki Nurfaiz, Bintang Wibowo, Gladhi Guarddin, Petrus Mursanto
Low power wireless network for efficient peatland monitoring system. IWBIS 2017: 149-154 - [c17]Grafika Jati, Ardina Rizqy Rachmasari, Wisnu Jatmiko
An efficient secure ECG compression based on 2D-SPIHT and SIT algorithm. IWBIS 2017: 155-160 - 2016
- [j1]Ari Wibisono
Traffic big data prediction and visualization using Fast Incremental Model Trees-Drift Detection (FIMT-DD). Knowl. Based Syst. 93: 33-46 (2016) - [c16]Ari Wibisono
Perceptron rule improvement on FIMT-DD for large traffic data stream. IJCNN 2016: 5161-5167 - [c15]Rindra Wiska, Novian Habibie, Ari Wibisono
Big sensor-generated data streaming using Kafka and Impala for data storage in Wireless Sensor Network for CO2 monitoring. IWBIS 2016: 97-102 - [c14]Hanif Arief Wisesa, M. Anwar Ma'sum
Processing big data with decision trees: A case study in large traffic data. IWBIS 2016: 115-120 - [c13]Novian Habibie, Rindra Wiska, Aditya Murda Nugraha, Ari Wibisono
Comparative study of lightweight secure multiroute communication system in low cost wireless sensor network for CO2 monitoring. IWBIS 2016: 145-150 - 2015
- [c12]Bayu Tenoyo, Petrus Mursanto
Concept Representation and Its Role in Artifact Development. COMPSAC Workshops 2015: 687-692 - [c11]Wisnu Jatmiko
Algal growth rate modeling and prediction optimization using incorporation of MLP and CPSO algorithm. MHS 2015: 1-7 - [c10]Bayu Tenoyo, Petrus Mursanto, Ade Azurat, Hisar Maruli Manurung:
Developing Artifact with Concept Relationship Oriented Methodology, a Progress Report. REFSQ Workshops 2015: 179-184 - 2014
- [c9]Benny Hardjono
Fundamental diagram estimation using Virtual Detection Zone in smart phones' application and CCTV data. GCCE 2014: 465-469 - [c8]Alham Fikri Aji, I Putu Edy Suardiyana Putra, Petrus Mursanto
Can smartphones be used to detect an earthquake? Using a machine learning approach to identify an earthquake event. SysCon 2014: 72-77 - 2013
- [c7]Ikhsanul Habibie
Automatic detection of embryo using Particle Swarm Optimization based Hough Transform. MHS 2013: 1-6 - [c6]M. Anwar Ma'sum
Autonomous quadcopter swarm robots for object localization and tracking. MHS 2013: 1-6 - [c5]Adi Nurhadiyatna, Wisnu Jatmiko
Background Subtraction Using Gaussian Mixture Model Enhanced by Hole Filling Algorithm (GMMHF). SMC 2013: 4006-4011 - 2011
- [c4]Wisnu Jatmiko
Arrhythmia classification from wavelet feature on FGPA. MHS 2011: 349-354 - [c3]Enrico Budianto, A. Hafidh, Faris Al Afif, Adi Wibowo
Autonomous telecommunication networks coverage area expansion in disaster area using mobile robots. MHS 2011: 361-366 - [c2]Faris Al Afif, M. Febrian Rachmadi
Enhanced adaptive traffic signal control system using camera sensor and embedded system. MHS 2011: 367-372 - [c1]Andreas Febrian
Building automation tools to calculate trichloroethylene level in human liver using - Case study: Images of white mouse liver. MHS 2011: 373-378
Coauthor Index
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