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Special Issue: Machine Learning-Based Information Processing

Guest Editors

Dr. Guanqiu Qi
Computer Information Systems Department, State University of New York at Buffalo State, Buffalo, NY 14222, USA
Email: qig@buffalostate.edu


Dr. Zhiqin Zhu
College of Automation, Chongqing University of Posts Telecommunications, Chongqing  400065, China
Email: zhuzq@cqupt.edu.cn


Dr. Yu Liu
Department of Biomedical Engineering, Heifei University of Technology, Heifei 230009, China
Email: yuliu@hfut.edu.cn


Dr. Yinong Chen
School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85287, USA
Email: Yinong.Chen@asu.edu

Manuscript Topics

Information processing is an essential component of modern daily life. Various types of information such as sound, images, text, vibrations, and more, contain rich intrinsic details. With the rapid development of sensor technology, the avenues for information collection have become even more diverse. To better extract useful insights from these signals, methods from machine learning are frequently employed. In recent years, a variety of machine learning-based techniques such as Support Vector Machines, Random Forests, and Deep Learning have been increasingly applied, leading to significant advancements. However, the relevant fields still face a series of critical challenges, including algorithm real-time performance, interpretability, small-sample learning, and transfer learning.


This special issue aims to present innovative machine learning-based information processing methods. It encompasses, but is not limited to, the latest machine learning algorithms in areas such as image segmentation, image recognition, natural language processing, machine translation, vibration signal processing, biomedical information processing, medical big data analysis, industrial big data analysis, and more. It also includes applications of related machine learning methods in medical image processing, natural image processing, industrial on-site diagnostics, medical disease diagnosis, and other aspects. Other research pertaining to machine learning and information processing is also welcomed for submission.


Topics covered include but not limited to:
• New theories in machine learning
• New theories in neural networks
• Machine learning-based signal processing
• Machine learning-based image processing
• Machine learning-based natural language processing
• Machine learning-based biomedical information processing
• Machine learning-based industrial data processing
• Machine learning-based big data analysis


Keywords:
   machine learning, deep learning, neural networks, signal processing, image processing, natural language processing, biomedical information processing, industrial data processing, big data analysis


Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 31 December 2024

Published Papers(18)

Research article
Epileptic seizure detection in EEG signals via an enhanced hybrid CNN with an integrated attention mechanism
Sakorn Mekruksavanich Wikanda Phaphan Anuchit Jitpattanakul
2025, Volume 22, Issue 1: 73-105. doi: 10.3934/mbe.2025004
Abstract HTML PDF Cited (1) Viewed (1243)
Research article
Probabilistic prediction intervals of short-term wind speed using selected features and time shift dependent machine learning models
Rami Al-Hajj Gholamreza Oskrochi Mohamad M. Fouad Ali Assi
2025, Volume 22, Issue 1: 23-51. doi: 10.3934/mbe.2025002
Abstract HTML PDF Viewed (946)
Research article
CTFusion: CNN-transformer-based self-supervised learning for infrared and visible image fusion
Keying Du Liuyang Fang Jie Chen Dongdong Chen Hua Lai
2024, Volume 21, Issue 7: 6710-6730. doi: 10.3934/mbe.2024294
Abstract HTML PDF Cited (2) Viewed (1500)
Research article
Video-based person re-identification with complementary local and global features using a graph transformer
Hai Lu Enbo Luo Yong Feng Yifan Wang
2024, Volume 21, Issue 7: 6694-6709. doi: 10.3934/mbe.2024293
Abstract HTML PDF Viewed (1245)
Research article
A topical VAEGAN-IHMM approach for automatic story segmentation
Jia Yu Huiling Peng Guoqiang Wang Nianfeng Shi
2024, Volume 21, Issue 7: 6608-6630. doi: 10.3934/mbe.2024289
Abstract HTML PDF Viewed (1189)
Research article
Multiscale distribution entropy analysis of short epileptic EEG signals
Dae Hyeon Kim Jin-Oh Park Dae-Young Lee Young-Seok Choi
2024, Volume 21, Issue 4: 5556-5576. doi: 10.3934/mbe.2024245
Abstract HTML PDF Cited (2) Viewed (1846)
Research article
Few-shot bearing fault detection based on multi-dimensional convolution and attention mechanism
Yingying Xu Chunhe Song Chu Wang
2024, Volume 21, Issue 4: 4886-4907. doi: 10.3934/mbe.2024216
Abstract HTML PDF Cited (1) Viewed (1839)
Research article
The improved stratified transformer for organ segmentation of Arabidopsis
Yuhui Zheng Dongwei Wang Ning Jin Xueguan Zhao Fengmei Li Fengbo Sun Gang Dou Haoran Bai
2024, Volume 21, Issue 3: 4669-4697. doi: 10.3934/mbe.2024205
Abstract HTML PDF Cited (1) Viewed (1659)
Research article
Data governance and Gensini score automatic calculation for coronary angiography with deep-learning-based natural language extraction
Feng Li Mingfeng Jiang Hongzeng Xu Yi Chen Feng Chen Wei Nie Li Wang
2024, Volume 21, Issue 3: 4085-4103. doi: 10.3934/mbe.2024180
Abstract HTML PDF Viewed (1896)
Research article
SFEMM: A cotton binocular matching method based on YOLOv7x
Guohui Zhang Gulbahar Tohti Ping Chen Mamtimin Geni Yixuan Fan
2024, Volume 21, Issue 3: 3618-3630. doi: 10.3934/mbe.2024159
Abstract HTML PDF Viewed (1662)
Research article
Word distance assisted dual graph convolutional networks for accurate and fast aspect-level sentiment analysis
Jiajia Jiao Haijie Wang Ruirui Shen Zhuo Lu
2024, Volume 21, Issue 3: 3498-3518. doi: 10.3934/mbe.2024154
Abstract HTML PDF Viewed (1791)
Research article
Fusion recognition of palmprint and palm vein based on modal correlation
Wei Wu Yuan Zhang Yunpeng Li Chuanyang Li
2024, Volume 21, Issue 2: 3129-3145. doi: 10.3934/mbe.2024139
Abstract HTML PDF Cited (1) Viewed (1793)
Research article
Self-adaptive attention fusion for multimodal aspect-based sentiment analysis
Ziyue Wang Junjun Guo
2024, Volume 21, Issue 1: 1305-1320. doi: 10.3934/mbe.2024056
Abstract HTML PDF Cited (2) Viewed (2333)
Research article
A two-stage fine-tuning method for low-resource cross-lingual summarization
Kaixiong Zhang Yongbing Zhang Zhengtao Yu Yuxin Huang Kaiwen Tan
2024, Volume 21, Issue 1: 1125-1143. doi: 10.3934/mbe.2024047
Abstract HTML PDF Cited (2) Viewed (2180)
Research article
A study on pharmaceutical text relationship extraction based on heterogeneous graph neural networks
Shuilong Zou Zhaoyang Liu Kaiqi Wang Jun Cao Shixiong Liu Wangping Xiong Shaoyi Li
2024, Volume 21, Issue 1: 1489-1507. doi: 10.3934/mbe.2024064
Abstract HTML PDF Cited (1) Viewed (1792)
Research article
Entity relationship extraction from Chinese electronic medical records based on feature augmentation and cascade binary tagging framework
Xiaoqing Lu Jijun Tong Shudong Xia
2024, Volume 21, Issue 1: 1342-1355. doi: 10.3934/mbe.2024058
Abstract HTML PDF Cited (2) Viewed (2050)
Research article
A two-branch cloud detection algorithm based on the fusion of a feature enhancement module and Gaussian mixture model
Fangrong Zhou Gang Wen Yi Ma Yutang Ma Hao Pan Hao Geng Jun Cao Yitong Fu Shunzhen Zhou Kaizheng Wang
2023, Volume 20, Issue 12: 21588-21610. doi: 10.3934/mbe.2023955
Abstract HTML PDF Viewed (1579)
Survey
A review of fine-grained sketch image retrieval based on deep learning
Qing Luo Xiang Gao Bo Jiang Xueting Yan Wanyuan Liu Junchao Ge
2023, Volume 20, Issue 12: 21186-21210. doi: 10.3934/mbe.2023937
Abstract HTML PDF Cited (4) Viewed (2176)