Afiahayati

发表

Comet Assay Classification for Buccal Mucosa's DNA Damage Measurement with Super Tiny Dataset Using Transfer Learning

Afiahayati, Edgar Anarossi, Ryna Dwi Yanuaryska, 2019, ACIIDS.

Afiahayati, 2016 .

Suitable CNN Weight Initialization and Activation Function for Javanese Vowels Classification

Afiahayati, Chandra Kusuma Dewa, 2018, INNS Conference on Big Data.

Prediksi Struktur Sekunder Protein menggunakan Model Deep Learning dengan Konvolusi dan Bidirectional Gated Recurrent Unit

Afiahayati, M. Rizky Luthfianto, 2016 .

A systematic review: B-cell conformational epitope prediction from epitope characteristics view

Sri Hartati, Edi Winarko, Afiahayati, 2017, 2017 3rd International Conference on Science and Technology - Computer (ICST).

A Parallel ClustalW Algorithm on Multi-Raspberry Pis for Multiple Sequence Alignment

Guntur Budi Herwanto, Sri Hartati, Afiahayati, 2018, 2018 1st International Conference on Bioinformatics, Biotechnology, and Biomedical Engineering - Bioinformatics and Biomedical Engineering.

Multiple sequence alignment using Hidden Markov model with augmented set based on BLOSUM 80 and its influence on phylogenetic accuracy

Sri Hartati, Afiahayati, 2010, 2010 International Conference on Distributed Frameworks for Multimedia Applications.

Traffic Congestion Detection: Learning from CCTV Monitoring Images using Convolutional Neural Network

Afiahayati, Chandra Kusuma Dewa, Jason Kurniawan, 2018, INNS Conference on Big Data.

Training dataset reduction on generative adversarial network

Afiahayati, Fajar Ulin Nuha, 2018, INNS Conference on Big Data.

Recognizing Arabic letter utterance using convolutional neural network

Rian Adam Rajagede, Afiahayati, Chandra Kusuma Dewa, 2017, 2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD).

An extended genovo metagenomic assembler by incorporating paired-end information

Afiahayati, Yasubumi Sakakibara, Kengo Sato, 2013, PeerJ.

A hybrid convolutional neural network-extreme learning machine with augmented dataset for dna damage classification using comet assay from buccal mucosa sample

Afiahayati, Edgar Anarossi, Ryna Dwi Yanuaryska, 2021 .

Overview on computational-based B-cell epitope prediction: Dataset, method and accuracy

Afiahayati, Binti Solihah, 2016, 2016 2nd International Conference on Science and Technology-Computer (ICST).

MetaVelvet-SL: an extension of the Velvet assembler to a de novo metagenomic assembler utilizing supervised learning

Afiahayati, Yasubumi Sakakibara, Kengo Sato, 2014, DNA research : an international journal for rapid publication of reports on genes and genomes.

Molecular epidemiology of SARS-CoV-2 isolated from COVID-19 family clusters

Afiahayati, Sumardi, Gunadi, 2021, BMC medical genomics.

Development of de novo assemblers for metagenomic sequencing data(本文)

Afiahayati, 2014 .