Vicky Zilvan

发表

Machine Learning Based Plant Diseases Detection: A Review

H. Pardede, Endang Suryawati, Dikdik Krisnandi, 2020, 2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET).

A Generalization of Sigmoid Loss Function Using Tsallis Statistics for Binary Classification

H. Pardede, Vicky Zilvan, A. R. Yuliani, 2022, Neural Processing Letters.

Multi-Condition Training on Deep Convolutional Neural Networks for Robust Plant Diseases Detection

R. Sandra Yuwana, Hilman F. Pardede, Vicky Zilvan, 2019, 2019 International Conference on Computer, Control, Informatics and its Applications (IC3INA).

Convolutional variational autoencoder-based feature learning for automatic tea clone recognition

Ana Heryana, R. Sandra Yuwana, Hilman F. Pardede, 2021, J. King Saud Univ. Comput. Inf. Sci..

Unsupervised Convolutional Autoencoder-Based Feature Learning for Automatic Detection of Plant Diseases

Rika Sustika, Hilman F. Pardede, Vicky Zilvan, 2018, 2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA).

A Hybrid CNN-LSTM for Battery Remaining Useful Life Prediction with Charging Profiles Data

H. Pardede, Dikdik Krisnandi, Vicky Zilvan, 2022, IC3INA.

Unsupervised feature learning-based encoder and adversarial networks

Ahmad Afif Supianto, Ana Heryana, R. Sandra Yuwana, 2021, J. Big Data.

Remaining Useful Life Prediction of Lithium-Ion Battery Based on LSTM and GRU

H. Pardede, Dikdik Krisnandi, R. S. Yuwana, 2021, IC3INA.

Diseases Classification for Tea Plant Using Concatenated Convolution Neural Network

Ana Heryana, R. Sandra Yuwana, Hilman F. Pardede, 2019, CommIT (Communication and Information Technology) Journal.

Plant diseases detection with low resolution data using nested skip connections

H. Pardede, Endang Suryawati, Dikdik Krisnandi, 2020, Journal of Big Data.

Densely Connected Networks with Smoothed Labels Regularization for Tea Diseases Detections

H. Pardede, Endang Suryawati, Dikdik Krisnandi, 2021, IC3INA.

Cluster-based text mining for extracting drug candidates for the prevention of COVID-19 from the biomedical literature

H. Pardede, R. S. Yuwana, Vicky Zilvan, 2023, Journal of Taibah University Medical Sciences.

Generalized Filter-bank Features for Robust Speech Recognition Against Reverberation

Ana Heryana, Hilman F. Pardede, Vicky Zilvan, 2019, 2019 International Conference on Computer, Control, Informatics and its Applications (IC3INA).

Adversarial Networks-Based Speech Enhancement with Deep Regret Loss

H. Pardede, Endang Suryawati, Vicky Zilvan, 2022, 2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS).

Transformer with Time Vector Representation for Remaining Useful Life Prediction of Lithium-Ion Batteries

H. Pardede, Vicky Zilvan, A. Ramdan, 2023, 2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET).

Plant diseases detection with low resolution data using nested skip connections

Agus Subekti, R. Sandra Yuwana, Hilman F. Pardede, 2020, Journal of Big Data.

Clustering object on surveillance radar display by combining ADBSCAN algorithm and marked boundary object

Tajul Miftahushudur, Vicky Zilvan, Arie Setiawan, 2016, 2016 International Seminar on Intelligent Technology and Its Applications (ISITIA).

Cluster-based text mining for extracting drug candidates for the prevention of COVID-19 from the biomedical literature

Vicky Zilvan, Andria Arisal, Chien-Hung Huang, 2023, Journal of Taibah University Medical Sciences.