Edited by:
Konstantinos E. Psannis: University of Macedonia, Greece
Journal of Cloud Computing is calling for submissions to our Collection on 'Computational Intelligence Techniques for Pattern Recognition in Multimedia Data.' This special issue aims to compile the most recent academic and professional research on intelligent pattern recognition systems for multimedia data.
Articles on topics such as root cause analysis, predictive analytics, few-shot learning, and cost-effective system implementation are especially encouraged to be submitted. Current reviews of the state of the art are strongly encouraged as well.
Topics of interest (not limited to):
• Analysis and utilization of multimedia data
• Adaptive computing for multimedia data
• Neural networks applicable to multimedia data
• Few-shot learning techniques
• Systems of predictive analytics
• Systematic analysis of causes
• Low-cost research on system implementation
• Auto-teaching hardware, software, and simulations
• Methods for supervised and unsupervised learning
• System for deep learning and machine learning
• Research on reinforcement learning
• Research on cross-domain feature learning and fusion
• Research on feature extraction and representation
In this study, we present a sophisticated multi-label deep learning framework for the prediction of RNA-RBP (RNA-binding protein) interactions, a critical aspect in understanding RNA functionality modulation a...
Cotton, a crucial cash crop in Pakistan, faces persistent threats from diseases, notably the Cotton Leaf Curl Virus (CLCuV). Detecting these diseases accurately and early is vital for effective management. Thi...
The fast human climate change we are witnessing in the early twenty-first century is inextricably linked to the health and function of the biosphere. Climate change is affecting ecosystems through changes in m...
This study presents a novel approach to identifying trolls and toxic content on social media using deep learning. We developed a machine-learning model capable of detecting toxic images through their embedded ...
Mangroves are ecosystems that grow in the intertidal areas of coastal zones, playing crucial ecological roles and possessing unique economic and social values. They have garnered significant attention and rese...
In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series data, adept at addressing the inherent challenges posed by the data's complex, non-linear, and periodic nature, as ...
The Correction to this article has been published in Journal of Cloud Computing 2024 13:77
The study aims to evaluate and compare the performance of various machine learning (ML) classifiers in the context of detecting cyber-trolling behaviors. With the rising prevalence of online harassment, develo...
This paper presents a novel approach to time series forecasting, an area of significant importance across diverse fields such as finance, meteorology, and industrial production. Time series data, characterized...
21st century has witnessed a profound metamorphosis in human civilization, primarily driven by the confluence of advanced network technologies and industrial modernization. This transformative period has expan...
The field of medical image segmentation, particularly in the context of brain tumor delineation, plays an instrumental role in aiding healthcare professionals with diagnosis and accurate lesion quantification....
Facial expressions serve as crucial indicators of an individual's psychological state, playing a pivotal role in face-to-face communication. This research focuses on advancing collaboration between machines an...
This Collection welcomes submission of Research Articles.
Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system. During the submission process, under the section additional information, you will be asked whether you are submitting to a Collection, please select "Computational Intelligence Techniques for Pattern Recognition in Multimedia Data" from the dropdown menu.
Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.
The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.