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5 publikasi ditemukan

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The facial emotion recognition (FER-2013) dataset for prediction system of micro-expressions face using the convolutional neural network (CNN) algorithm based Raspberry Pi

2020 Fifth international conference on informatics and computing (ICIC), 1-9, 2020

L Zahara, P Musa, EP Wibowo, I Karim, SB Musa

Prosiding 2020 OA

262 sitasi

Generalized Regression Neural Network for predicting traffic flow

2016 International Conference on Information & Communication Technology and Systems (ICTS) doi:10.1109/icts.2016.7910298

Joko Lianto Buliali, Victor Hariadi, Ahmad Saikhu, Saprina Mamase

Prosiding 2016 OA

SDG 9 SDG 11

10 sitasi

Synthesis of virtual character poses using Lagrange polynomial interpolation

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) doi:10.1109/isitia.2015.7219991

Irwan Karim, Surya Sumpeno, Mauridhi Hery Purnomo

Prosiding 2015 OA

SDG 9

3 sitasi

The Language Acquisition of A Two-Year-Old Girl “Aline”

Proceedings of the International Conference on Community Development (ICCD 2020) doi:10.2991/assehr.k.201017.062

Hanisah Hanafi, Silvana Hasan, Dewi Kusumaningsih

Prosiding 2020 OA

SDG 9

1 sitasi

Prosiding “Praktik Pekerjaan Sosial dengan Kelompok dan Komunitas”

Politeknik Kesejahteraan Sosial Bandung Press, 2021

D Kardeti, EL Syaodih, H Ocktilia, YS Ismudiyati, M Azzasyofia, F Arsyad, ...

Prosiding 2021 OA

0 sitasi

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The facial emotion recognition (FER-2013) dataset for prediction system of micro-expressions face using the convolutional neural network (CNN) algorithm based Raspberry Pi

Generalized Regression Neural Network for predicting traffic flow

Synthesis of virtual character poses using Lagrange polynomial interpolation

The Language Acquisition of A Two-Year-Old Girl “Aline”

Prosiding “Praktik Pekerjaan Sosial dengan Kelompok dan Komunitas”

Jejaring Riset & Kolaborasi Peneliti

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THE INFLUENCE OF WORK ETHIC, WORK CULTURE, AND ORGANIZATIONAL SUPPORT ON EMPLOYEE PERFORMANCE THROUGH MOTIVATION AS AN INTERVENING VARIABLE AMONG EMPLOYEES OF THE RELIGIOUS …

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