Newsletter: Nonlinear Theory and Its Applications, IEICE (NOLTA) - October 2025

[NOLTA SOCIETY]

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Newsletter
Nonlinear Theory and Its Applications, IEICE (NOLTA) - October 2025 ISSUE-
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Nonlinear Theory and Its Applications, IEICE (NOLTA) is an all-electronic OA journal published quarterly by the Institute of Electronics, Information and Communication Engineers (IEICE).
NOLTA covers the entire field of nonlinear science, engineering and mathematics.
The journal home page: https://www.jstage.jst.go.jp/browse/nolta/-char/en



======= NEWS and INFORMATION ========

1. Accepted for inclusion in Scopus

NOLTA, IEICE has been accepted for inclusion in Scopus provided by Elsevier, and is currently indexed in Scopus.
https://www.scopus.com/sourceid/21101288810


2. Journal Impact Factor

The Journal Impact Factor, provided by Clarivate, has been updated to 0.6 in June 2025.



3. Indexed in DOAJ

NOLTA, IEICE is indexed in the Directory of Open Access Journals (DOAJ).
https://doaj.org/toc/2185-4106


4. LaTeX template file updated

The new template file for paper submissions (Version 5.1) was released. Please use the latest template for your submission.
It is important to note that the preparation of a manuscript now requires some additional statements, which of them are mandatory.
For more information, please refer the template file;
https://www.ieice.org/nolta/journal/for_authors/NOLTA_Template.zip


5. Invited Review series

NOLTA publishes a series of Invited Review papers contributed from top-notch researchers. You will find good articles for the latest knowledge you need.
The list of the Invited Review papers:
https://www.ieice.org/nolta/journal/invited_papers.html



======== LATEST ISSUE: Volume 16, Issue 4, 2025 ===============

https://www.jstage.jst.go.jp/browse/nolta/16/4/_contents/-char/en


TABLE OF CONTENTS

1. Special Section on Emerging Technologies of Complex Communication Sciences and Multimedia Functions

Foreword
Atsushi Uchida


B3N2: Bernoulli Binary Bayesian Neural Network Accelerator toward Edge Explainable AI Inference
Kota Ando, Taisei Saito, Tetsuya Asai


Biological Mimesis Based on the WiBIC Platform: Modeling of Pavlovian Conditioning
Jiaying Lin, Ryuji Nagazawa, Kien Nguyen, Hiroyuki Torikai, Mikio Hasegawa, Won-Joo Hwang, Hiroo Sekiya


Efficient Semi-Supervised Learning via Multi-Augmentations on Single Samples for Edge AI Training
Itsuki Akeno, Tetsuya Asai, Alexandre Schmid, Kota Ando


Predicting transitions in intermittent chaos using reservoir computing
Shoma Ohara, Kazutaka Kanno, Atsushi Uchida, Hiroaki Kurokawa


Acquisition of Physical Kinetics in Reciprocating Machines Using Reservoir Computing for Anomaly Detection
Shohei Tatsumi, Kota Ando, Tetsuya Asai


Parameter Efficient Image Denoising by Combining Depthwise Separable Convolution and Gating Mechanism
Kazuya Udoh, Takamichi Miyata


Understanding Convolutional Neural Networks Through Z-transform: Frequency Domain Analysis of Kernel Feature Extraction
Sora Togawa, Kenya Jin'no


Zero-Shot Class Conditioned Image Colorization by using Pretrained Diffusion Models
Ryuta Nishio, Takamichi Miyata


Prompt engineering for generating high-quality conversations and its evaluation
Hiiro Yamazaki, Tetsuya Asai, Kota Ando


AI-Driven Learning Behavior Analysis and Modeling Framework for English Education Based on IoT
Xinhua Wang


Designing Content Placement for Aggregating ICN FIBs and Reducing Network Traffic
Hiroki Hashimoto, Noriaki Kamiyama


On the Effect of Node Sampling Strategies on Spectral Representation of Graphs
Ryo Nakamura, Koki Kato


Effect of periodic thresholds on the stability of interrupted circuits with guaranteed chaos
Hiroyuki Asahara, Yuta Suzuki, Kaito Kato, Takuji Kousaka


Improvement of Noncontact Heart Rate Measurement by Millimeter-wave Radar Utilizing Respiratory Components of Biological Signals
Hiroto Fujii, Shintaro Arai, Kohei Saeki, Ryohei Yoshitake, Suguru Kameda, Ataru Yamaoka


2. Regular Section

Applying transfer learning and data augmentation to image recognition models for music emotion classification
Yoshihiro Matsubara, Yuya Matsuda, Jousuke Kuroiwa


Grey Wolf Optimizer with Adaptive Large Neighborhood Search for the Traveling Salesman Problems
Rikuto Shibutani, Takayuki Kimura


An Effective Probabilistic Routing Strategy Based on Gravitational Centrality in Complex Networks
Fuya Kumagai, Takatoshi Inaba, Takayuki Kimura



=========CALL FOR PAPERS(SPECIAL Section)===============

https://www.ieice.org/eng_r/information/schedule/journals.php?type=05


April 2026 Issue
Special Section on Recent Advances in Nonlinear Problems
https://www.ieice.org/eng/s_issue/cfp/2026_4EN.pdf


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Editorial Committee
Nonlinear Theory and Its Applications, IEICE (NOLTA)
Contact: no...@ieice.org