We are calling for submissions for the following special issue in Sensors (IF 3.275).
Special Issue: “Sensing and Semantic Perception in Autonomous Driving”
Guest Editors:
Eren Erdal Aksoy, Halmstad University, Sweden
Abhinav Valada, University of Freiburg, Germany
Jean-Emmanuel Deschaud, MINES ParisTech, France
Submission deadline: 01 September 2021
Website:
https://www.mdpi.com/journal/sensors/special_issues/Sensing_Semantic_Perception_Autonomous_Driving
The Special Issue “Sensing and Semantic Perception in Autonomous Driving” is now open for submission of full research articles and comprehensive reviews. We would like to cordially invite you to contribute a paper to this special issue. All submissions are peer-reviewed and accepted papers will be published immediately.
Potential topics include, but are not limited to:
Sensing methodologies
Smart sensors
Semantic perception
Semantic segmentation
Panoptic segmentation
Object detection
Deep learning
Find more details of this special issue here:
https://www.mdpi.com/journal/sensors/special_issues/Sensing_Semantic_Perception_Autonomous_Driving
The Special Issue will continue to accept submissions until September 01, 2021. All papers will be published immediately after acceptance on an ongoing basis. You may send your manuscript now or up until the deadline. Submitted papers should not be under consideration for publication elsewhere. We also encourage authors to send a short abstract or tentative title to iris.shen@mdpi.com or sensors@mdpi.com.
In the meantime, we hope that you are not directly affected by the corona virus, and you and your families are all safe and healthy.
Best regards
Eren
Special Sessions on “Industry 4.0 in Agriculture”
March 24th, 2021 
Daniela Lopez de Luise
We are pleased to invite you to submit your latest research to the 19th IEEE International Conference on Industrial Informatics (INDIN 2021) Special Sessions on Industry 4.0 in Agriculture. INDIN is a flagship conference of IEEE Industrial Electronics Society providing a forum for presentation and discussion of the state-of-the-art and future perspectives of industrial information technologies.
Please kindly find the details of the call for papers with the following website link
https://2021.ieee-indin.org/special-sessions/ss-07-industry-4-0-in-agriculture/
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CFP: INDIN2021 Special Sessions on Industry 4.0 in Agriculture
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The three previous industrial revolutions (from Industry 1.0 to Industry 3.0) gradually modified the form of agricultural activities. The traditional labor-intensive agriculture has been replaced by industrial agriculture through the adoption of industrial production patterns, industrial production processes, and industrial supply chain management in agriculture. Currently, industrialized food production and distribution dominates the global agriculture industry because this method is more productive and cost-effective.
However, there still exist several issues that need to be addressed in the current status of industrial agriculture, such as ecological problems, lack of digitization, food safety issue, and inefficient agri-food supply chain.
The fourth industrial revolution (Industry 4.0) is ongoing, and is characterized by a fusion of emerging technologies such as the Internet of Things (IoT), robotics, Big Data, Artificial Intelligence (AI), and blockchain technology. At present, industrial production processes and supply chains have become more autonomous and intelligent. Correspondingly, the integration of Industry 4.0 and agriculture provides the opportunity to transform industrial agriculture into the next generation, namely, Agriculture 4.0. In this context, sustainable and intelligent industrial agriculture would be achieved through real-time variable fine-grained collection, processing, and analyzing of spatio-temporal data in all aspects of the agricultural industry, from food production, processing, distribution to consumer experience. Such a smart industrial agriculture ecosystem with real-time farm management, a high degree of automation, and data-driven intelligent decision-making would greatly improve productivity, agri-food supply chain efficiency, food safety, and the use of natural resources.
This special session on “Industry 4.0 in Agriculture” is to provide a forum for researchers from diverse interdisciplinary areas to present their latest achievements in smart agriculture.
Topics of interest include, but are not limited to:
- Internet of Things for smart agriculture
- Robotics and autonomous systems for smart agriculture
- Artificial intelligence for smart agriculture
- Big data analytics for smart agriculture
- Blockchain for smart agriculture
- Edge computing for smart agriculture
- Unmanned aerial vehicle for smart agriculture
Submissions Procedure:
All the instructions for paper submission are included in the conference website https://2021.ieee-indin.org/
Best regards,
The Special Sessions Organizers
HSI 2021 – Special Session: “Recent Advances on Artificial Intelligence and Deep Learning for Human System Interaction”
March 24th, 2021 Daniela Lopez de Luise ;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(245,245,245);text-decoration-style:initial;text-decoration-color:initial”>Thanks to the huge increase of computing power and resources and to the breakthroughs in Artificial Intelligence and deep learning over the last years, the field of Human System Interaction has witnessed a dramatic development and success stories on a wide range of fields. The latter include but are not limited to Human Computer Interaction Mediated communication, Social Media, e Health Well Being, Education, Biometrics, Video Surveillance Cybersecurity, Smart Manufacturing, Coaching Robots Chat-bots, Smart Agriculture, Robotics, Sport Analytics, Social Sciences, Entertainment, Finance. The aim of this special issue is to highlight recent advances and trends of AI /deep learning that made possible such breakthroughs in connection with machine interaction.
Topics of interest include, but are not limited to:
- New Neural network Architecture Designs
- Representation Learning
- Multimodal representation learning for human machine interaction
- Transfer Learning and Adaptive Learning
- Explainability and Interpretability of Deep Learning Models
- Semi supervised Models
- Deep Reinforcement Learning
- Ethics and Fairness in AI
- Deep learning for health monitoring
- Deep learning for improving human experience
Contact:
Please email inquiries to Prof. Mounîm A. El Yacoubi (mounim.el_yacoubi@telecomsudparis.eu)