scholarly journals Learning from Others: Daily COVID-19 Cases Prediction in India using Ensembles of LSTM-RNNs

Author(s):  
Debasrita Chakraborty ◽  
Debayan Goswami ◽  
Susmita Ghosh ◽  
Jonathan H. Chan ◽  
Ashish Ghosh

This work was presented at the 10th Joint Symposium on Computational Intelligence (JSCI10), organized by the IEEE-CIS Thailand Chapter, that aims to support research students and young researchers, to create a place enabling participants to share and discuss on their research prior to publishing their works. The event was open to all researchers who want to broaden their knowledge in the field of computational intelligence.

2021 ◽  
Author(s):  
Debasrita Chakraborty ◽  
Debayan Goswami ◽  
Susmita Ghosh ◽  
Jonathan H. Chan ◽  
Ashish Ghosh

This work was presented at the 10th Joint Symposium on Computational Intelligence (JSCI10), organized by the IEEE-CIS Thailand Chapter, that aims to support research students and young researchers, to create a place enabling participants to share and discuss on their research prior to publishing their works. The event was open to all researchers who want to broaden their knowledge in the field of computational intelligence.


2021 ◽  
Author(s):  
wahidullah mudaser ◽  
Jonathan H. Chan

<div>This work was presented at the 9th Joint Symposium on Computational Intelligence (JSCI9), organized by the IEEE-CIS Thailand Chapter, that aims to support research students and young researchers, to create a place enabling participants to share and discuss on their research prior to publishing their works. The event was open to all researchers who want to broaden their knowledge in the field of computational intelligence.</div><div><br></div><div><div>The Pashto character database developed in this work is available at <a href="https://github.com/mudaser37/pashtoCharacterDataset" rel="noreferrer noopener" target="_blank">GitHub - mudaser37/pashtoCharacterDataset</a></div></div>


2021 ◽  
Author(s):  
Naqibullah Vakili ◽  
Jonathan H. Chan ◽  
Worarat Krathu ◽  
Nipat Phattarakijtham ◽  
Kazuya Hirata

<div>This work was presented at the 9th Joint Symposium on Computational Intelligence (JSCI9), organized by the IEEE-CIS Thailand Chapter, that aims to support research students and young researchers, to create a place enabling participants to share and discuss on their research prior to publishing their works. The event was open to all researchers who want to broaden their knowledge in the field of computational intelligence.</div>


2021 ◽  
Author(s):  
Naqibullah Vakili ◽  
Jonathan H. Chan ◽  
Worarat Krathu ◽  
Nipat Phattarakijtham ◽  
Kazuya Hirata

<div>This work was presented at the 9th Joint Symposium on Computational Intelligence (JSCI9), organized by the IEEE-CIS Thailand Chapter, that aims to support research students and young researchers, to create a place enabling participants to share and discuss on their research prior to publishing their works. The event was open to all researchers who want to broaden their knowledge in the field of computational intelligence.</div>


2021 ◽  
Author(s):  
wahidullah mudaser ◽  
Jonathan H. Chan

<div>This work was presented at the 9th Joint Symposium on Computational Intelligence (JSCI9), organized by the IEEE-CIS Thailand Chapter, that aims to support research students and young researchers, to create a place enabling participants to share and discuss on their research prior to publishing their works. The event was open to all researchers who want to broaden their knowledge in the field of computational intelligence.</div><div><br></div><div><div>The Pashto character database developed in this work is available at <a href="https://github.com/mudaser37/pashtoCharacterDataset" rel="noreferrer noopener" target="_blank">GitHub - mudaser37/pashtoCharacterDataset</a></div></div>


2021 ◽  
Author(s):  
Phongsathorn Kittiworapanya ◽  
Kitsuchart Pasupa ◽  
Peter Auer

<div>This work was presented at the 10th Joint Symposium on Computational Intelligence (JSCI10), organized by the IEEE-CIS Thailand Chapter, that aims to support research students and young researchers, to create a place enabling participants to share and discuss on their research prior to publishing their works. The event was open to all researchers who want to broaden their knowledge in the field of computational intelligence.<br></div><div><br></div><div>We assessed several state-of-the-art deep learning algorithms and computer vision techniques for estimating the particle size of mixed commercial waste from images. In waste management, the first step is often coarse shredding, using the particle size to set up the shredder machine. The difficulty is separating the waste particles in an image, which can not be performed well. This work focused on estimating size by using the texture from the input image, captured at a fixed height from the camera lens to the ground. We found that EfficientNet achieved the best performance of 0.72 on F1-Score and 75.89% on accuracy.<br></div>


2014 ◽  
Vol 60 (3) ◽  
pp. 271-276 ◽  
Author(s):  
Ryszard S. Romaniuk

Abstract Symposium Wilga 2014, in its 34th edition, was organized during the last week of May. Symposium is organized under the auspices of SPIE, IEEE, Photonics Society of Poland, WEiTI PW, and PKOpto SEP. The event gathered around 350 persons, mainly young researchers from the whole country. There were presented around 250 speeches and communications. The main book of Symposium Proceedings is Proc. SPIE vol.9290 which contains around 130 papers. A few tens of papers were also published in technical journals. The leading topics of Wilga 2014 were gathered in key sessions: nano-materials for photonics and electronics, astronomy and space technology, biomedicine, computational intelligence, visualization and multimedia, and large research experiments. The paper presents a digest of some topical tracks, and chosen work results presented during WILGA 2014 Symposium.


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