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Started 25 September 2024
  • Tech Science Press

SCI Special Issue Call for Papers-Artificial Intelligence Algorithms and Applications

🔒SCI: Call for Papers-Artificial Intelligence Algorithms and Applications
Journal: CMC-Computers, Materials & Continua (SCI IF=2.0)
📅 Submission Deadline: 28 February 2025
🌟 Guest Editors:
Dr. Antonio Sarasa-Cabezuelo, Complutense University of Madrid, Madrid, 28040, Spain
🔍 Summary:
Artificial Intelligence (AI) has become a transformative force in technology, driving innovation across diverse sectors. AI algorithms, which form the backbone of intelligent systems, are increasingly applied in areas such as healthcare, robotics, and beyond. The continuous evolution of these algorithms has enabled more accurate predictions, efficient data processing, and the development of autonomous systems, making AI a critical research area. Understanding and advancing AI algorithms is essential for addressing complex real-world challenges, fostering technological growth, and enhancing human-machine collaboration.
This Special Issue aims to explore the latest advancements in AI algorithms and their wide-ranging applications. The focus is on cutting-edge research that contributes to the development, optimization, and practical deployment of AI algorithms. By gathering contributions from experts in the field, this issue seeks to highlight innovative approaches and emerging trends that can drive future developments in AI. The scope includes both theoretical explorations and real-world applications, providing a comprehensive view of the current state and potential of AI technologies.
Suggested Themes:
· Machine learning and deep learning algorithms
· AI in healthcare and medical diagnostics
· Robotics and autonomous systems
· Natural language processing and understanding
· AI-driven cybersecurity solutions
· Reinforcement learning and decision-making systems
· Computer vision and image recognition
· Explainable AI and transparency in algorithms
· AI for smart cities and urban planning
· Human-computer interaction and AI
· AI in supply chain management and logistics
· AI in entertainment and media content creation
· Evolutionary algorithms and optimization techniques
· AI for predictive maintenance and industrial automation
· AI in agriculture and food security
🎈Keywords
Artificial Intelligence, Machine Learning, Deep Learning, Autonomous Systems, Natural Language Processing, Robotics, AI Applications

All replies (1)

Is the APC for this special issue article the same as for a regular series article?

Similar questions and discussions

[Call for paper]2024 4th International Conference on Digital Society and Intelligent Systems(DSInS 2024) | Sydney, Australia
Discussion
Be the first to reply
  • Kiuling LaiKiuling Lai
2024 4th International Conference on Digital Society and Intelligent Systems(DSInS 2024) will be held in Sydney, Australia during November 20-22, 2024.
---Call for papers---
The topics of interest for submission include, but are not limited to:
1. Intelligent Systems
Pattern recognition
Machine learning
Neural networks
Natural language processing
Deep learning
......
2. Intelligent Systems
Pattern recognition
Machine learning
Neural networks
Natural language processing
Deep learning
......
3. Application of Intelligent systems on Digital Society
Character recognition
Video surveillance
Factory automation
Assistive robotics
Intelligent Fault Diagnosis
......
---Publication---
All accepted full papers will be published in the conference proceedings and will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.
---Important Dates---
Full Paper Submission Date: September 15, 2024
Notification of Acceptance Date: October 10, 2024
Final Paper Submission Date: October 25, 2024
Conference Dates: November 20-22, 2024
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
Call for papers-IEEE第三届图像处理、计算机视觉与机器学习国际学术会议(ICICML 2024)
Discussion
Be the first to reply
  • Sijia MaSijia Ma
会议征稿:第三届图像处理、计算机视觉与机器学习国际学术会议(ICICML 2024)
Call for papers: IEEE 2024 3rd International Conference on Image Processing, Computer Vision and Machine Learning (ICICML 2024) will be held on November 22-24, 2024 in Shenzhen, China.
Topics include: Image Processing, Computer Vision, Machine Learning, Deep Learning, Pattern Recognition and Analysis, etc. Welcome experts and scholars to submit and participate in the conference!
重要信息
大会官网(投稿网址):https://ais.cn/u/IZRBF3
大会时间:2024年11月22-24日
大会地点:中国-深圳
收录检索:EI Compendex, Scopus, IEEE Xplore
主办单位:深圳大学
会议详情
第三届图像处理、计算机视觉与机器学习国际学术会议(ICICML 2024)将于2024年11月22日-24日于中国深圳召开。本届会议由深圳大学主办。会议将围绕图像与视觉处理,机器学习等在计算机领域中的最新研究成果,为来自国内外高等院校、科学研究所、企事业单位的专家、教授、学者、工程师等提供一个分享专业经验,扩大专业网络,面对面交流新思想以及展示研究成果的国际平台,探讨本领域发展所面临的关键性挑战问题和研究方向,以期推动该领域理论、技术在高校和企业的发展和应用,也为参会者建立业务或研究上的联系以及寻找未来事业上的全球合作伙伴。
会议征稿主题(包括但不限于)
1. 图像处理
模式识别与分析
人脸识别
图像特征提取
范围图像处理
图像分割
物体识别
图像增强及压缩...
2. 计算机视觉
大数据与计算机视觉
生物特征识别
生物医学图像分析
遥感影像
计算摄影
目标检测算法
字符识别...
3. 机器学习
智能数据分析
建模和识别
多任务和迁移学习
机器学习算法
深度学习
人工智能
智慧交通...
论文出版
所有的投稿都必须经过2-3位组委会专家审稿,经过严格的审稿之后,最终录用的论文将由IEEE(ISBN:979-8-3503-5541-3)出版,出版后将提交IEEE Xplore,EI Compendex和Scopus检索。连续三届IEEE出版,检索稳定!
参会方式
1、会议文作者参会:一篇录用文章允许一名作者免费参会;
2、会议主讲嘉宾:申请主题演讲,由组委会审核;
3、会议口头报告:申请口头报告,时间为15分钟;
4、会议海报展示:申请海报展示,A1尺寸,彩色打印;
5、听众参会:不投稿仅参会,也可申请演讲及展示。
6、投稿参会网址:https://ais.cn/u/IZRBF3
CFP for special session on “Next-Gen Precise Positioning and Seamless Navigation: From Classical Signal Processing to AI”
Discussion
5 replies
  • Pampa SadhukhanPampa Sadhukhan
The special session on “Next-Gen Precise Positioning and Seamless Navigation: From Classical Signal Processing to AI” to be held with 3rd International IEEE Applied Sensing Conference (APSCON 2025) during January 20-22, 2025, at IIT Hyderabad, India, invites original submission, not exceeding 4 pages in standard IEEE format, on one of the following topics from the prospective authors.
1) AI, machine/deep learning for intelligent and seamless positioning
2) Hybridization of AI and classical signal processing approaches
3) Intelligent sensor fusion or multiple signal sources for enhanced positioning accuracy
4) Accurate and Efficient positioning: compression, clustering, approximate computing
5) Mobility models for seamless positioning and navigation
6) Case studies and real-world implementations:
Integrated sensing and positioning for autonomous and intelligent vehicles.
Integrated localization and communications for 6G systems
Intelligent in-home monitoring and e-Health
Mobility aid for disabled persons
Navigation solutions for emergency rescue workers
This special session will explore the applicability of artificial intelligence (AI) techniques and their integration in various sensor data fusion including the newly emerged 5G, 6G network data for precise positioning and seamless navigation systems in satellite-signal denied areas. Traditional signal processing methods are increasingly being supplemented or replaced by AI-driven approaches, offering enhanced accuracy, robustness, and efficiency. Topics will cover state-of-the-art AI algorithms, various machine learning models, and deep learning techniques applied to various sensors and data sources to enable the precise positioning and seamless navigation in complex urban environments.
The best 2 papers of this session will be encouraged to submit the extended versions of the papers to the open access journal "IEEE Journal of Indoor and Seamless Positioning and Navigation (J-ISPIN)", and if accepted, the APC will be waived for publication (this is US$ 1995).
The submission deadline is September 20, 2024. To know more about the submission instructions and to submit your paper, kindly check the link mentioned below.
Seeking PhD Supervisor in the Field of Optimization in Machine Learning
Discussion
2 replies
  • Mazyar TaghaviMazyar Taghavi
Dear ResearchGate Community,
I hope this message finds you well. I am writing to express my strong interest in pursuing a PhD in the field of Optimization in Artificial Intelligence and Machine Learning and to seek a supervisor who shares the same passion for this research area.
I hold a Master's degree in Artificial Intelligence and Robotics, which has provided me with a solid foundation in machine learning. However, to further enhance my knowledge and skills in optimization, I subsequently enrolled in another Master's program in Applied Mathematics. This program has equipped me with a deep understanding of mathematical concepts and techniques that are instrumental in optimizing machine learning algorithms.
I am confident that my profound understanding of the mathematical foundations of machine learning would be a valuable asset to your ML/AI research team. Moreover, my research projects have allowed me to actively engage in the exploration of optimization in AI/ML algorithms. I have developed a particular interest in the intersection of Quantum Computing and its significant implications for AI/ML and optimization.
During my academic journey, I have had the opportunity to work on research projects that focus on applying AI/ML in various domains, such as medicine and environmental sciences. Through these experiences, I have gained practical insights into the challenges and opportunities that arise when optimizing machine learning algorithms for real-world applications.
I am now seeking a PhD supervisor who shares my enthusiasm for optimization in machine learning and who can guide and support me in exploring this fascinating research field. If you are a researcher or know of any potential supervisors who specialize in this area, I would greatly appreciate any recommendations or introductions.
Thank you for taking the time to read my post. I look forward to any suggestions or guidance you may have, and I am eager to contribute to the advancements in optimization in machine learning.
Best regards,

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