Conference Code: 24FR04ICPRCV
Conference Aims and Objectives
The ICPRCV 2024: 26th International Conference on Pattern Recognition and Computer Vision
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Pattern Recognition and Computer Vision. 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 Pattern Recognition and Computer Vision.
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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Pattern Recognition and Computer Vision are cordially invited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 Pattern Recognition and Computer Vision
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
||June 18, 2023
|Notification of Acceptance/Rejection
||October 30, 2023
|Final Paper (Camera Ready) Submission & Early Bird Registration Deadline
||December 27, 2023
||April 18 - 19, 2024
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) Detecting Tomato Flowers in Greenhouses Using Computer VisionDor Oppenheim, Yael Edan, Guy Shani 4) Paddy/Rice Singulation for Determination of Husking Efficiency and Damage Using Machine VisionM. Shaker, S. Minaei, M. H. Khoshtaghaza, A. Banakar, A. Jafari 5) A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato CropsGizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha 6) Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative FrequencySemeh Ben Salem, Sami Naouali, Moetez Sallami 7) 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 8) Spectrum of Dry Eye Disease in Computer Users of Manipur IndiaSomorjeet Sharma Shamurailatpam, Rabindra Das, A. Suchitra Devi 9) Input Data Balancing in a Neural Network PM-10 Forecasting SystemSuk-Hyun Yu, Heeyong Kwon 10) An Integrated Cognitive Performance Evaluation Framework for Urban Search and Rescue ApplicationsAntonio D. Lee, Steven X. Jiang 11) 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 12) High Level Synthesis of Canny Edge Detection Algorithm on Zynq PlatformHanaa M. Abdelgawad, Mona Safar, Ayman M. Wahba 13) Statistical Wavelet Features, PCA, and SVM Based Approach for EEG Signals ClassificationR. K. Chaurasiya, N. D. Londhe, S. Ghosh 14) Stereo Motion TrackingYudhajit Datta, Jonathan Bandi, Ankit Sethia, Hamsi Iyer 15) A Pattern Recognition Neural Network Model for Detection and Classification of SQL Injection AttacksNaghmeh Moradpoor Sheykhkanloo
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