Conference Code: 22IT11ICITSL
Conference Aims and Objectives
The ICITSL 2022: 24th International Conference on Information Theory and Statistical Learning
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Information Theory and Statistical Learning. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Information Theory and Statistical Learning.
Call for Contributions
All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Information Theory and Statistical Learning are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.WASET
Federated conference series is an event that brings together significant number of recurring events; academic conferences, symposia, workshops, special sessions, and plenary talks in the field of science and technology since inception in 1999. Each event may run over any span of time within the conference days.
All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the International Science Index (ISI)
, Google Scholar
, Semantic Scholar
, and other index databases. The conference abstracts and proceedings book, CD and certificate of presentation will be distributed to participants at the conference registration desk. Impact Factor Indicators
Special Journal Issues
has teamed up with the Special Journal Issue on Information Theory and Statistical Learning
A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form
|Abstracts/Full-Text Paper Submission Deadline
||October 31, 2021
|Notification of Acceptance/Rejection
||November 30, 2021
|Final Paper (Camera Ready) Submission & Early Bird Registration Deadline
||July 12, 2022
||November 12 - 13, 2022
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for
Please refer to the Paper Submission GUIDE
before submitting your paper.
Selected Conference Papers
1) A Neural Network Classifier for Estimation of the Degree of Infestation by Late Blight on Tomato LeavesGizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira 2) Image Rotation Using an Augmented 2-Step Shear TransformHee-Choul Kwon, Heeyong Kwon 3) Robot Navigation and Localization Based on the Rat’s Brain SignalsEndri Rama, Genci Capi, Shigenori Kawahara 4) Performance Evaluation of Refinement Method for Wideband Two-Beams FormationC. Bunsanit 5) Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative FrequencySemeh Ben Salem, Sami Naouali, Moetez Sallami 6) A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato CropsGizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha 7) Efficient Filtering of Graph Based Data Using Graph PartitioningNileshkumar Vaishnav, Aditya Tatu 8) A Computational Cost-Effective Clustering Algorithm in Multidimensional Space Using the Manhattan Metric: Application to the Global Terrorism DatabaseSemeh Ben Salem, Sami Naouali, Moetez Sallami 9) Methodology for Obtaining Static Alignment ModelLely A. Luengas, Pedro R. Vizcaya, Giovanni Sánchez 10) Online Prediction of Nonlinear Signal Processing Problems Based Kernel Adaptive FilteringHamza Nejib, Okba Taouali 11) Input Data Balancing in a Neural Network PM-10 Forecasting SystemSuk-Hyun Yu, Heeyong Kwon 12) Comparing Emotion Recognition from Voice and Facial Data Using Time Invariant FeaturesVesna Kirandziska, Nevena Ackovska, Ana Madevska Bogdanova 13) An Integrated Cognitive Performance Evaluation Framework for Urban Search and Rescue ApplicationsAntonio D. Lee, Steven X. Jiang 14) Using Information Theory to Observe Natural Intelligence and Artificial IntelligenceLipeng Zhang, Limei Li, Yanming Pearl Zhang 15) Disaggregating and Forecasting the Total Energy Consumption of a Building: A Case Study of a High Cooling Demand FacilityJuliana Barcelos Cordeiro, Khashayar Mahani, Farbod Farzan, Mohsen A. Jafari
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