Announcement of Best Paper Award in 2023

In 2023, IETI Transactions on Data Analysis and Forecasting (iTDAF) organized four issues of the first volume (first year) of the journal, with a total of 28 articles published.

A total of 6 excellent papers were selected from Japan, Moldova, Romania, Ghana, South Africa, China, and other places. The relevant information is as follows (in no particular order):

1. 
Title: Does the Sentiment Index Help Predict Crude Oil Prices?
Authors: Jin Shang , Tamotsu Nakamura, Shigeyuki Hamori

2. 
Title: Forecasting and Directions Registering Sustainable Public Procurement
Authors: Elena Rusu, Otilia Manta

3.
Title: ResFCNET: A Skin Lesion Segmentation Method Based on a Deep Residual Fully Convolutional Neural Network
Authors: Mustapha Adamu Mohammed, Obeng Bismark, Seth Alornyo, Michael Asante , Bernard Obo Essah

4. 
Title: Early Prediction of Monkeypox Virus Outbreak Using Machine Learning
Authors: Solomon Oluwole Akinola, Qing Guo Wang, Peter Olukanmi, Tshilidzi Marwala

5.
Title: A Review of Joint Applications of IoT and Deep Learning
Authors: Wenhao Tang , Jiaji Wang

6.
Title: Quantitative Estimation of Urban PM2.5 Pollution Baseline and Metrological Resource Endowment Using Machine Learning in Chinese Yangze River Economic Belt
Authors: ChangHong Ou, Fei Li, Jingdong Zhang, Jinyuan Guo, Xiyao Chen, Shaojie Kong, Pei Jiang, Milan Wu, Yazhu Wang

Congratulations to all the winners!

Thank you to all the editors, reviewers, and authors of the journal.