Messaoud Seifeddine

University of Monastir | UTM · Department of Physics

Deep convolutional neural networks (DCNNs) have been mainly powerful and important artificial intelligence techniques, which are exploited in various computer vision applications, such as facial point detection (FPD), owing their versatility and high performance. The role of DCNNs in this area is pivotal due to their ability to learn hierarchical f...

Autonomous vehicles are a family of complex systems permanently connected to the rest of the world and communicating autonomously with other systems. It has a certain on-board intelligence and good decision-making autonomy. Among the challenges faced by autonomous vehicles are the detection and tracking of multi-objects in the path of the vehicle i...

Human facial emotion recognition (FER) has attracted interest from the scientific community for its prospective uses. The fundamental goal of FER is to match distinct facial expressions to different emotional states. Recent state-of-the-art studies have generally adopted more complex methods to achieve this aim, such as large-scale deep learning mo...

Undeniably, the Internet of Things (IoT) ecosystem keeps on advancing at a fast speed, far above all predictions for growth and ubiquity. From sensor to cloud, this massive network continues to break technical limits in a variety of ways, and wireless sensor nodes are likely to become more prevalent as the number of Internet of Things devices incre...

Convolutional neural networks (CNNs) have gained popularity for Internet-of-Healthcare (IoH) applications such as medical diagnostics. However, new research shows that adversarial attacks with slight imperceptible changes can undermine deep neural network techniques in healthcare. This raises questions regarding the safety of deploying these IoH de...

Multimedia IoT (M-IoT) is an emerging type of Internet of things (IoT) relaying multimedia data (images, videos, audio and speech, etc.). The rapid growth of M-IoT devices enables the creation of a massive volume of multimedia data with different characteristics and requirements. With the development of artificial intelligence (AI), AI-based multim...

Convolutional neural networks (CNNs) are widely used, due to their excellent performance, in many computer vision applications, such as facial recognition, image classification tasks, speech recognition programs, video gaming, etc. However, CNNs require a large number of memory resources and they are also computationally intensive. Field Programmab...

Natural disaster management became a major concern over which administrations have centralized their activities in many countries. In case of inundation for example, the priority is to reduce the number of victims with a rapid intervention when launching operations to search and rescue the maximum number of potential survivors. To manage these oper...

5G networks are envisioned to support heterogeneous Industrial IoT (IIoT) and Industrial Wireless Sensor Network (IWSN) applications with a multitude Quality of Service (QoS) requirements. Network slicing is being recognized as a beacon technology that enables multi-service IIoT networks. Motivated by the growing computational capacity of the IIoT...

Since the infectious coronavirus disease (COVID-19) was first reported in Wuhan, it has become a public health problem around the world. This pandemic is having devastating effects on societies and economies. Due to the lack of health resources in a short period, all countries and continents are likely to face particularly severe damage that could...

Embedded vision systems are the best solutions for high-performance and lightning-fast inspection tasks. As everyday life evolves, it becomes almost imperative to harness artificial intelligence (AI) in vision applications that make these systems intelligent and able to make decisions close to or similar to humans. In this context, the AI’s integra...

At the end of 2019, the infectious coronavirus disease (COVID-19) was reported for the first time in Wuhan, and, since then, it has become a public health issue in China and even worldwide. This pandemic has devastating effects on societies and economies around the world, and poor countries and continents are likely to face particularly serious and...

Since the infectious coronavirus disease (COVID-19) was first reported in Wuhan, it has become a public health problem in China and even around the world. This pandemic is having devastating effects on societies and economies around the world. The increase in the number of COVID-19 tests gives more information about the epidemic spread, which may l...

Future Video Coding (FVC) is a modern standard in the field of video coding that offers much higher compression efficiency than the HEVC standard. FVC was developed by the Joint Video Exploration Team (JVET), formed through collaboration between the ISO/IEC MPEG and ITU-T VCEG. New tools emerging with the FVC bring in super resolution implementatio...

With the rapid development technology, Artificial Intelligence is the most powerful technique, it has made great progress in many areas, including computer vision and medical imaging. This paper proposes a deep learning-based framework for COVID-19 detection. Deep transfer learning models-based on a pre-trained Deep convolutional Neural Network are...

With the rapid advancement in many multimedia applications, such as video gaming, computer vision applications, and video streaming and surveillance, video quality remains an open challenge. Despite the existence of the standardized video quality as well as high definition (HD) and ultrahigh definition (UHD), enhancing the quality for the video com...

Industry 4.0 is considered as a very promising paradigm for Industrial Internet of Things (IIoT) that will significantly impact current industries and the construction of upcoming ones due to its various use cases. The latter have heterogeneous quality of service (QoS) requirements which imposes important challenges in enabling these applications o...

With the rapid development of Internet of Things (IoT) and the use of smart devices and social networks in our daily lives, applications-based on IoT are growing exponentially in many fields such industries, business and daily life activities. The IoT technology brings a lot of promise for humanity by improving life quality and comfort and by stren...

The World Health Organization has declared that the new Coronavirus disease (Covid-19) has become a pandemic since March 2020. It consists of an emerging viral infection with respiratory swelling that can progress to atypical pneumonia. In fact, experts stress the early detection importance of those infected with COVID-19 virus. In this way, the in...

Computer Vision is one of the most flagship fields in the last decade. Meanwhile, embedded boards (FPGAs) represent the technological advancement trends by including software processor and programmable logic units at the same FPGA core. However, the fusion of the embedded system and computer vision provides the nascent embedded vision field. This d...

Network Slicing is being recognized as one of the most promising techniques to improve QoS in 5G networks. It enables physical network sharing between isolated virtual slices. In this context, to meet specific QoS requirements for each slice, physical network resources should be efficiently reserved and channels should be optimally assigned for eac...

In the IoT and WSN era, large number of connected objects and sensing devices are dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields and applications. To effectively run these complex networks of connected objects, there are several challenges like topology changes, link failures, memory constraints, int...

Fifth-Generation and beyond networks are envisioned to support multi-Industrial IoT (IIoT) applications with a diverse QoS requirements. Network slicing is recognized as a flagship technology that enables IIoT networks with multiservices and resource requirements by allowing the networkas-infrastructure transition to the network-as-service. Motivat...

The next generation (5G) wireless network is expected to support the fourth industrial revolution, combining heightened data transfer speeds and processing power. Despite technological progress, the most important evolution of future networks is the network-densification technique. This technique reduces significantly the propagation distance and m...