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AISC 2021 : 9th International Conference on Artificial Intelligence, Soft Computing

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Link: https://ccsit2021.org/aisc/index.html
 
When May 29, 2021 - May 30, 2021
Where Vancouver, Canada
Submission Deadline Apr 10, 2021
Notification Due May 3, 2021
Final Version Due May 11, 2021
Categories    artificial intelligence   soft computing   pattern recognition   computer science
 

Call For Papers

9th International Conference on Artificial Intelligence, Soft Computing (AISC 2021)

May 29~30, 2021, Vancouver, Canada

Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms.

Call for Papers

9th International Conference on Artificial Intelligence, Soft Computing (AISC 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence and Soft Computing. Topics of interest include, but are not limited to, the following

Topics of Interest

  • Artificial Intelligence
  • AI Algorithms
  • Artificial Intelligence tools & Applications
  • Automatic Control
  • Bioinformatics
  • Natural Language Processing
  • CAD Design & Testing
  • Computer Vision and Speech Understanding
  • Data Mining and Machine Learning Tools
  • Fuzzy Logic
  • Heuristic and AI Planning Strategies and Tools
  • Computational Theories of Learning
  • Hybrid Intelligent Systems
  • Information Retrieval
  • Intelligent System Architectures
  • Knowledge Representation
  • Knowledge-based Systems
  • Mechatronics
  • Multimedia & Cognitive Informatics
  • Neural Networks
  • Parallel Processing
  • Pattern Recognition
  • Robotics
  • Semantic Web Techniques and Technologies
  • Soft computing theory and Applications
  • Software & Hardware Architectures
  • Soft Computing
  • Fuzzy Systems
  • Neural Networks
  • Machine Learning
  • Probabilistic Reasoning
  • Evolutionary Computing
  • Pattern Recognition
  • Hybrid Intelligent Systems
  • Software Agents
  • Morphic Computing
  • Image processing
  • E-commerce, e-medicine
  • Rough Sets
  • Symbolic Machine Learning
  • Wavelet
  • Signal or Image Processing
  • Vision Recognition
  • Biomedical Engineering
  • Telecommunications
  • Reactive Distributed AI
  • Nano & Micro-systems
  • Data Visualization
  • Pervasive computing and ambient intelligence
  • Programming Languages
  • Reasoning and Evolution
  • Recent Trends and Developments
  • Web Intelligence Applications & Search

Paper Submission

Authors are invited to submit papers through the Conference Submission System by April 10, 2021. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS&IT) series(Confirmed).

Selected papers from AISC 2021, after further revisions, will be published in the special issue of the following journals

Important Dates

Submission Deadline :April 10, 2021
Authors Notification:May 03, 2021
Final Manuscript Due:May 11, 2021

Other Conference


Accepted Papers


Faceatlasar: Atlas of Facial Acupuncture Points in Augmented Reality
Menghe Zhang1, Jürgen P. Schulze1, and Dong Zhang2, 1Department of Computer Science, University of California, San Diego, USA, 2Qilu University of Technology, Shandong, China

Automatic Extraction of Threat Actions using Word Vector and Information Retrieval
Chia-Mei Chen1, Jing-Yun Kan1, Ya-Hui Ou2 and Zheng-Xun Cai1, 1Department of Information Management, National Sun Yat-sen University, Taiwan, 2National Penghu University of Science and Technology, Taiwan

Research on Deep Level Kernel Hook Mining Algorithm and its Application In Software Security
Wenjian Yu and Yongbin Yu, School of Information and Software Engineering, University of Electronic Science and Technology, Chengdu, China

Risk Analysis of Setting up a Restaurant at NYC
Santoshi Laxmi Reddy Ellanki1 and John Jenq2, 1Medical College of Wisconsin, Houston, Texas, USA, 2Department of Computer Science, Montclair State University, NJ USA

Low Cost Autonomous UAV Swarm Application in Wildfire Surveillance and Suppression
Xiaoyu Mo2, Doney Peters1 and Chengwei Lei1, 1Department of Computer and Electrical Engineering and Computer Science, California State University, Bakersfield, USA, 2San Domenico School, San Anselmo, United States

An Energy-Efficient Bioinspired Scheduling Resource Model for Emergency Scenario
Janine Kniess and Marcelo Petri and Rafael Stubs Parpinelli, Santa Catarina State University, Graduate Program in Applied Computing, Brazil

A New Hashing based Nearest Neighbors Selection Technique for Big Datasets
Jude Tchaye-Kondi, Yanlong Zhai and Liehuang Zhu, School of Computer Science, Beijing Institute of Technology, Beijing, China

Hierarchical Virtual Bitmaps for Spread Estimation in Traffic Measurement
Olufemi Odegbile, Chaoyi Ma, Shigang Chen, Dimitrios Melissourgos and Haibo Wang, Department of Computer and Information Science and Engineering University of Florida, Gainesville, Florida, USA

Research on Deep Level Kernel Hook Mining Algorithm and its Application In Software Security
Wenjian Yu and Yongbin Yu, School of Information and Software Engineering, University of Electronic Science and Technology, Chengdu, China

Risk Analysis of Setting up a Restaurant at NYC
Santoshi Laxmi Reddy Ellanki1 and John Jenq2, 1Medical College of Wisconsin, Houston, Texas, USA, 2Department of Computer Science, Montclair State University, NJ USA

Comparative Analysis of Quality of Service Scheduling Classes in Mobile Ad-Hoc Networks
Thulani Phakathi, Bukohwo Michael Esiefarienrhe and Francis Lugayizi, Department of Computer Science, North-West University, Mafikeng, South Africa

Improving Immigrant Integration through the Design of a Digital Learning Game
Heidi Katz1, Emmanuel Acquah1, Anette Bengs2 and Fredrik Sten2, 1Faculty of Education and Welfare Studies, Department of Education, Åbo Akademi University, Vaasa, Finland, 2Faculty of Education and Welfare Studies, Experience Lab, Åbo Akademi University, Vaasa, Finland

The Case for Error-bounded Lossy Floating-point Data Compression on Interconnection Networks
Yao Hu and Michihiro Koibuchi, National Institute of Informatics, 2-1-2, Hitotsubashi, Chiyoda-ku, Tokyo, Japan

Fusion of Medical Images based on Salient Features Extraction by Fuzzy Logic and NSML in NSST Domain
Yuan Gao, Shiwei Ma, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China

Intelligent Computational Model for the Classification of Covid-19 with Chest Radiography Compared to other Respiratory Diseases
Paula Santos, Department of Head and Neck Surgery, Ophthalmology and Otorhinolaryngology, University of São Paulo, Ribeirão Preto, Brazil & Department of Psychology, University of São Paulo, Brazil

Developing Multi-Dimensional Machine Learning Models: Predicting College Basketball Player Success in the NBA
Andrei J. Rosu, Department of Systems Engineering, United States Military Academy, West Point, New York, USA

Automatic Offensive or Cyberbullying Language Detection
ROYA SALEK SHAHREZAIE, University of Nevada, Reno, MOHSEN AHMADI, Arizona State University, PARISA HAJIBABAEE, University of Massachusetts Lowell, SAEEDEH SHEKARPOUR, University of Dayton

A Natural Logic for Artificial Intelligence, And its Risks and Benefits
Gyula Klima, Department of Philosophy, Fordham University, New York, USA

Experiments on Nl2Sql using Sqlova, Tabert and Lookahead Optimizer
Shubham V Chaudhari and Kameshwar Rao JV, HCL Technologies LTD, India

Mining evolving spatial co-location patterns from spatio-temporal databases
Yunqiang Ma1, Junli Lu2*1, Dazhi Yang2, 1Department of Biodiversity Conservation, Southwest Forestry University, Kunming, Yunnan, China, 2Department of Mathematics and Computer Science, Yunnan Minzu University, Kunming, Yunnan, China

Deep Learning for Medical Diagnosis of Lung Ct Images Caused by Sars-cov2 Diseases
Mehmet Akif Cifci1, 1Istanbul Aydin University, Computer Engineering, Florya, 34295, Istanbul, Turkey

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