Special Sessions
ICISP 2020 will include a number of special sessions.
- Data and Image Processing for Precision Agriculture (DIPPA'20)
- Digital Cultural Heritage
- Machine Learning Application and Innovation (MALAI '20)
Session 1 :
Data and Image Processing for Precision Agriculture
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Focus and objectives of the Special Session :
Nowadays, agriculture faces several challenges to maintain productivity and reduce environmental impact. With advances in the technologies of robots, drones, IoT..., precision agriculture and smart farming have opened up new opportunities to meet these challenges... Huge amount of data (images, signals, ...) generated by the new technologies, provides key element for the modern agriculture. Therefore, interest in this digital revolution is growing rapidly in various domains of agriculture, particularly the management of inputs l and decision-making. In this context, data analysis and modelling methods are an important topic for precision agriculture. For instance, plant disease detection and recognition using aerial imagery can be used to plan targeted actions and reduce the use of inputs; mathematical models of evolutions of the diseases or these species will allow act more preventively; robots with vision-based capabilities for weed detection and classification allows a more precise action ...
However, images and data analysis in agriculture are facing a several challenges such as data collection, image registration of different modalities taken over different spatial and time scales, spatio-temporal monitoring o, data labelling, the accuracy of predictive models...
The goal of this special session is to bring together researchers and engineers working in the area of precision agriculture or smart framing to address the needs, challenges and recent developments in image processing methods, signal processing, artificial intelligence, machine learning, modelling data, ... for agriculture. We are soliciting original contributions, which address a wide range of theoretical and practical issues including but not limited to:
- Computer vision and artificial intelligence in precision agriculture
- Machine learning, deep learning and data Mining in precision agriculture
- Remote sensing, geostatistics, mapping and spatial data analysis in precision agriculture
- Hyperspectral / multispectral imaging and precision agriculture
- Wireless Sensor Networks, Internet of Things in Precision Agriculture
- Data acquisition for precision agriculture
- Smart farming
- ...
Session Organizers :
- Adel Hafiane, PRISME, INSA Centre Val de Loire (France)
- Mohamed El Hajji, IRF-SIC, Ibn Zohr University (Morocco)
- Raphaël Canals, PRISME, University of Orléans (France)
- Youssef Es-saady, IRF-SIC, Ibn Zohr University (Morocco)
Call for Papers :
Data and Image Processing for Precision Agriculture (DIPPA'20)
Session 2 :
Digital Cultural Heritage
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Focus and objectives of the Special Session :
This special session with focus on digital Cultural Heritage application is organized within the conference with the support of the ANR-SUMUM project funded by the ANR and EU MSCA-ITN CHANGE ...
Documenting and studying Cultural Heritage (CH) is a thriving field of research in all countries bringing together different branches of science and humanities as well as institutional and industrial actors. Recently, more and more non-invasive, almost non-contact, and imaging-based techniques are used to document and study CH due to the advantages they offer (fast, precise, affordable, large range etc.). However, using new techniques to document and study CH is not only an advantage for the humanities, it also refreshed discussions on classical problems in Information and Communications Technology (ICT) and led to solutions (design of adapted systems for protecting, analyzing, publishing/disseminating/visualizing and virtually reconstructing CH artefacts, functionality, quality control and preservation of information, semantic indexing and access, multilingualism and heterogeneity at various levels). Therefore, sharing solutions, skills, methodologies, and protocols is a first step to assemble a network of all involved parties who document and study CH and to finally create a common understanding. All researchers working on theoretical and/or practical aspects of documenting and studying CH are kindly invited to present their work. We are soliciting original contributions included but not limited to the following topics:
- Data acquisition (2D, 3D, RGBD, spectral, RTI, etc.)
- System design and calibration,
- Processing,
- Analysis,
- Computer Vision for CH,
- Machine Learning and Deep learning for CH,
- Visualization,
- Virtual reality, augmented reality,
- Information visualization,
- Restoration,
- Human-Computer interaction,
- Data storage and retrieval,
- Semantic,
- Evaluation/quality,
- Dissemination.
Session Organizers :
- Christian Degrigny: HE-Arc CR, HES-SO (Switzerland)
- Sony George: NTNU (Norway)
- Alamin Mansouri, University of Burgundy (France)
- Robert Sitnik, Warsaw University of Technology (WUT) (Poland)
Paper Submission Guidelines :
Authors are invited to submit full papers showing original research contributions and should refer to the Author's Instructions on ICISP conference webpage. All the papers accepted for the special sessions will be included in the conference proceedings published in Springer in Lecture Notes in Computer Science series.
Session 3 :
Machine Learning Application and Innovation (MALAI '20)
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Focus and objectives of the Special Session :
Artificial intelligence (AI) is used to describe many technologies and applications. Generally, the term describes computer systems that replicate human intelligence. AI systems are in their beginning, but technology promises to change almost every aspect of our lives in the coming decades. Machine learning will drive most of the changes we will see in the next few years. The fundamental change at the use of ML is the transition from a human command-driven tool to a machine inference engine that applies logical rules to a dataset to infer new information. This change is extremely important because it results in software being increasingly able to develop and refine their own instructions to perform tasks without the limiting factor of a human being to provide decisions. Indeed, the limitations of traditional application design are beginning to be affected, and new applications can be met ...
The aim of this session is to review the concept of applications designing as an open innovation strategy and address the importance of them in revolutionizing knowledge towards applications sustainability. The main objective is to discuss why the concept of ML has become increasingly important and presents some of the top key applications and technologies to implement intelligent systems. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of ML applications and innovation are cordially invited for presentation. Suggested topics include, but are not limited to, the following:
- Agent and Multi-Agent Systems
- Artificial Neural Networks
- Machine learning Models
- Clinical decision support
- Collective Computational Intelligence
- Image Analysis
- Computational Intelligence
- Computer Vision
- Data Mining and Information Retrieval
- Deep Learning and Big Data Analytics
- Crowdsourcing systems and application
- Social media analytics
- Medical Informatics and Biomedical
- Methodologies for innovations to handle Big Data
- Big data analytics in business applications
- Convolutional Neural Networks
Session Organizers :
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Session chair : Abdelaziz EL Fazziki, Cadi Ayyad University (Morocco)
-
Session co-chair : Jihad Zahid, Cadi Ayyad University (Morocco)
- Mohammed Sadgal, Cadi Ayyad University (Morocco)
- Ernesto Damiani, Milan University (Italy)
- Kokou Yetongnon, Bourgogne University (France)
- Zahi Jarir, Cadi Ayyad University (Morocco)
- Hajar Moussanif, Cadi Ayyad University (Morocco)
- Djamel Benslimane, Lyon1 University (France)
- Sadoq Benyahya, University of Tunis El Manar (Tunisia)
- Bellatrache Ladjel, Poitiers University (France)
- Hasna El Alaoui El Abdallaoui, Cadi Ayyad University (Morocco)
- Neeta Nain, Malaviya National Institute of Technology Jaipur (India)
Submission :
Authors are encouraged to submit papers to no more than eight (8) pages one column including results, figures and references. All papers must be written in English and should describe original work. Please follow the ICISP website link: http://icisp-conf.org/submission.html
Deadlines :
- Submission Deadline: January 31th, 2020
- Notification of acceptance: March 5th, 2020
Call for Papers :
Machine Learning Application and Innovation (MALAI '20)
