Search Results - "Eko Mulyanto Yuniarno"

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  1. 1

    Utilizing a Single-Stage 2D Detector in 3D LiDAR Point Cloud With Vertical Cylindrical Coordinate Projection for Human Identification by Eka Budiyanta, Nova, Mulyanto Yuniarno, Eko, Usagawa, Tsuyoshi, Purnomo, Mauridhi Hery

    Published in IEEE access (2024)
    “…Exploiting sensitive human data in human visual monitoring system violates individual's privacy. Hence, this study utilized a Light Detection and Ranging…”
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    Journal Article
  2. 2

    A Combination Model of Shifting Joint Angle Changes With 3D-Deep Convolutional Neural Network to Recognize Human Activity by Rahayu, Endang Sri, Yuniarno, Eko Mulyanto, Purnama, I. Ketut Eddy, Purnomo, Mauridhi Hery

    “…Research in the field of human activity recognition is very interesting due to its potential for various applications such as in the field of medical…”
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  3. 3

    ViTMa: A Novel Hybrid Vision Transformer and Mamba for Kinship Recognition in Indonesian Facial Micro-Expressions by Fibriani, Ike, Yuniarno, Eko Mulyanto, Mardiyanto, Ronny, Purnomo, Mauridhi Hery

    Published in IEEE access (2024)
    “…Kinship recognition that primarily focuses on exploiting facial micro expressions is an interesting and challenging problem that aims to determine whether…”
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  4. 4

    ARKOMA dataset: An open-source dataset to develop neural networks-based inverse kinematics model for NAO robot arms by Nugroho, Arif, Yuniarno, Eko Mulyanto, Purnomo, Mauridhi Hery

    Published in Data in brief (01-12-2023)
    “…The inverse kinematics plays a vital role in the planning and execution of robot motions. In the design of robotic motion control for NAO robot arms, it is…”
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  5. 5

    Deep Learning for Multi-Structured Javanese Gamelan Note Generator by Kurniawati, Arik, Yuniarno, Eko Mulyanto, Suprapto, Yoyon Kusnendar

    “…Javanese gamelan, a traditional Indonesian musical style, has several song structures called gendhing. Gendhing (songs) are written in conventional notation…”
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  6. 6

    Human activity classification using deep learning based on 3D motion feature by Rahayu, Endang Sri, Yuniarno, Eko Mulyanto, Purnama, I. Ketut Eddy, Purnomo, Mauridhi Hery

    Published in Machine learning with applications (15-06-2023)
    “…Human activity classification is needed to support various fields. The health sector, for example, requires the ability to monitor the activities of patients,…”
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  7. 7

    Notation of Javanese Gamelan dataset for traditional music applications by Kurniawati, Arik, Yuniarno, Eko Mulyanto, Suprapto, Yoyon Kusnendar, Ifada, Noor, Soewidiatmaka, Nur Ikhsan

    Published in Data in brief (01-04-2024)
    “…The Javanese gamelan notation dataset comprises Javanese gamelan gendhing (song) notations for various gamelan instruments. This dataset includes 35 songs…”
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  8. 8

    Small group pedestrian crossing behaviour prediction using temporal angular 2D skeletal pose by Sidharta, Hanugra Aulia, Kindhi, Berlian Al, Yuniarno, Eko Mulyanto, Purnomo, Mauridhi Hery

    Published in Array (New York) (01-07-2024)
    “…A pedestrian is classified as a Vulnerable Road User (VRU) because they do not have the protective equipment that would make them fatal if they were involved…”
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  9. 9

    Deep Semantic Feature Extraction to Overcome Overlapping Frequencies for Instrument Recognition in Indonesian Traditional Music Orchestras by Nurdiyah, Dewi, Yuniarno, Eko Mulyanto, Wulandari, Sari Ayu, Surapto, Yoyon Kusnendar, Purnomo, Mauridhi Hery

    Published in IEEE access (2024)
    “…In Indonesian traditional music, specifically Gamelan, overlapping fundamental frequencies occur among different instruments due to certain tones being tuned…”
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    Journal Article
  10. 10

    HiroPoseEstimation: A Dataset of Pose Estimation for Kid-Size Humanoid Robot by Rafly Azmi Ulya, Amik, Hutama Harsono, Nathanael, Mulyanto Yuniarno, Eko, Hery Purnomo, Mauridhi

    “…Pose estimation is a field of computer vision research that involves detecting, associating, and tracking data points on body parts. It is used for health…”
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  11. 11

    3D craniofacial reconstruction framework using elastic surface deformation based on automatic landmark positioning by Suputra, Putu Hendra, Sensusiati, Anggraini Dwi, Artaria, Myrtati Dyah, Yuniarno, Eko Mulyanto, Purnama, I Ketut Eddy

    Published in IET image processing (01-07-2023)
    “…Computer‐aided craniofacial reconstruction (CFR) is a process that aims to estimate facial impressions based on skull remains. It mimics the conventional…”
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  12. 12

    IRAWNET: A Method for Transcribing Indonesian Classical Music Notes Directly from Multichannel Raw Audio by Dewi Nurdiyah, Eko Mulyanto Yuniarno, Yoyon Kusnendar Suprapto, Mauridhi Hery Purnomo

    “…A challenging task when developing real-time Automatic Music Transcription (AMT) methods is directly leveraging inputs from multichannel raw audio without any…”
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  13. 13

    Effective relax acquisition: a novel approach to classify relaxed state in alpha band EEG-based transformation by Risqiwati, Diah, Wibawa, Adhi Dharma, Pane, Evi Septiana, Yuniarno, Eko Mulyanto, Islamiyah, Wardah Rahmatul, Purnomo, Mauridhi Hery

    Published in Brain informatics (01-12-2024)
    “…A relaxed state is essential for effective hypnotherapy, a crucial component of mental health treatments. During hypnotherapy sessions, neurologists rely on…”
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  14. 14

    Automatic note generator for Javanese gamelan music accompaniment using deep learning by Kurniawati, Arik, Yuniarno, Eko Mulyanto, Suprapto, Yoyon Kusnendar, Soewidiatmaka, Aditya Nur Ikhsan

    “…Javanese gamelan is a traditional form of music from Indonesia with a variety of styles and patterns. One of these patterns is the harmony music of the Bonang…”
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  15. 15

    Enhancing LiDAR-Based Object Recognition Through a Novel Denoising and Modified GDANet Framework by Putra, Oddy Virgantara, Riansyah, Moch. Iskandar, Rahmanti, Farah Zakiyah, Priyadi, Ardyono, Wulandari, Diah Puspito, Ogata, Kohichi, Yuniarno, Eko Mulyanto, Purnomo, Mauridhi Hery

    Published in IEEE access (01-01-2024)
    “…Object recognition in Point Cloud data from LiDAR sensors often faces challenges like noise, clutter, and ground interference, significantly affecting tasks…”
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  16. 16

    Optimizing player engagement in an immersive serious game for soil tillage base on Pareto optimal strategies by Adisusilo, Anang Kukuh, Hariadi, Mochamad, Yuniarno, Eko Mulyanto, Purwantana, Bambang

    Published in Heliyon (01-03-2020)
    “…In most cases, problems that increase player involvement in immersive serious games do so by combining fun elements with a specific purpose. Previous studies…”
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  17. 17

    3D Visualization for Lung Surface Images of Covid-19 Patients based on U-Net CNN Segmentation by FX Ferdinandus, Esther Irawati Setiawan, Eko Mulyanto Yuniarno, Hery Purnomo, Mauridhi

    “…The Covid-19 infection challenges medical staff to make rapid diagnoses of patients. In just a few days, the Covid-19 virus infection could affect the…”
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  18. 18

    A Novel Approach in Low-cost Motion Capture System using Color Descriptor and Stereo Webcam by Muhammad Imanullah, Eko Mulyanto Yuniarno, Adri Gabriel Sooai

    Published in International Journal of Technology (30-10-2019)
    “…Animated motion has become crucial in some electronic entertainment business products, such as games, animated movies, and simulations. Making such animated…”
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  19. 19

    Modified Deep Pattern Classifier on Indonesian Traditional Dance Spatio-Temporal Data by Mulyanto, Edy, Yuniarno, Eko Mulyanto, Hafidz, Isa, Budiyanta, Nova Eka, Priyadi, Ardyono, Hery Purnomo, Mauridhi

    “…Traditional dances, like those of Indonesia, have complex and unique patterns requiring accurate cultural preservation and documentation classification…”
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  20. 20

    Application of Photogrammetry Techniques in Reconstructing the Carving on Stone Inscriptions by Sambodo, Goenawan A, Suprapto, Yoyon K., Yuniarno, Eko Mulyanto

    Published in Berkala arkeologi (13-11-2020)
    “…This research discusses and applies photogrammetry techniques to determine the depth of the script carvings on some worn-out stone inscriptions so images of…”
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