A5033093688- Chaos-based Image/Signal Encryption
- Cellular Automata and Applications
- Genomics and Phylogenetic Studies
- Advanced Steganography and Watermarking Techniques
- Mathematical Dynamics and Fractals
- Energy Efficient Wireless Sensor Networks
- Chaos control and synchronization
- Tuberculosis Research and Epidemiology
- Protein Structure and Dynamics
- Mycobacterium research and diagnosis
- Neural Networks and Applications
- RNA and protein synthesis mechanisms
- Fire Detection and Safety Systems
- Fractal and DNA sequence analysis
- Internet Traffic Analysis and Secure E-voting
- Genetic diversity and population structure
- Machine Learning in Bioinformatics
- Evolution and Genetic Dynamics
- Digital Media Forensic Detection
- Cryptographic Implementations and Security
- Wireless Body Area Networks
- Security in Wireless Sensor Networks
- Anomaly Detection Techniques and Applications
- Chromosomal and Genetic Variations
- Fault Detection and Control Systems
Université Bourgogne Franche-Comté
2016-2025
Université de Bourgogne
2016-2025
Centre National de la Recherche Scientifique
2016-2025
Université de franche-comté
2012-2025
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies
2016-2025
AgroParisTech
2024
Université Paris-Saclay
2024
Université Paris Cité
2024
London School of Hygiene & Tropical Medicine
2024
Institut Pasteur de Lille
2024
Abstract Analysis of genome sequencing data from >100,000 genomes Mycobacterium tuberculosis complex using TB-Annotator software revealed a previously unknown lineage, proposed name L10, in central Africa. Phylogenetic reconstruction suggests L10 could represent missing link the evolutionary and geographic migration histories M. africanum.
Traditionally, chaotic systems are built on the domain of infinite precision in mathematics. However, quantization is inevitable for any digital devices, which causes dynamical degradation. To cope with this problem, many methods were proposed, such as perturbing states and cascading multiple systems. This paper aims at developing a novel methodology to design higher-dimensional (HDDCS) finite precision. The proposed system based chaos generation strategy controlled by random sequences. It...
The determinants of the spread extended-spectrum β-lactamase-producing Escherichia coli (ESBLEC) in community remain unclear. To evaluate its dissemination environment, we analyzed ESBLEC population throughout an urban wastewater network.Samples were collected weekly, over a 10-week period, from 11 sites network Besançon city (France). Total E. and loads determined for each sample. As control, 51 clinical isolates at our hospital. We genotyped both environmental by pulsed-field gel...
Pseudomonas aeruginosa is an opportunistic bacterial pathogen able to thrive in highly diverse ecological niches and infect compromised patients. Its genome exhibits a mosaic structure composed of core into which accessory genes are inserted en bloc at specific sites. The size the content open for debate as their estimation depends on set genomes considered pipeline gene detection clustering. Here, we redefined P. from fully re-analyzed 17 reference strains. After optimization clustering...
Handwritten Text Recognition (HTR) is essential for digitizing historical documents in different kinds of archives. In this study, we introduce a hybrid form archive written French: the Belfort civil registers births. The digitization these challenging due to their unique characteristics such as writing style variations, overlapped characters and words, marginal annotations. objective survey paper summarize research on handwritten text provide directions toward effectively transcribing...
Pseudomonas aeruginosa is a major human pathogen, which also affects animals. It thought that P. has non-clonal epidemic population structure, with distinct isolates found in humans, animals or the environment. However, very little known about structure of from diseased Data on antimicrobial resistance are scarce. Thirty-four already registered and 19 new MLST profiles were identified. Interestingly, few clones more prevalent, associated to outbreaks detected. Multidrug phenotypes overall...
Hardware security for an Internet of Things or cyber physical system drives the need ubiquitous cryptography to different sensing infrastructures in these fields. In particular, generating strong cryptographic keys on such resource-constrained device depends a lightweight and cryptographically secure random number generator. this research work, we have introduced new hardware chaos-based pseudorandom generator, which is mainly based deletion Hamilton cycle within N-cube (or vectorial...
Abstract With the Internet's unprecedented growth and nations' reliance on computer networks, new cyber‐attacks are created every day as means for achieving financial gain, imposing political agendas, developing cyberwarfare arsenals. Network security is thus acquiring increasing attention among researchers, practitioners, network architects, policy makers, others. To defend organizations' networks from existing, foreseen, future threats, intrusion detection systems (IDSs) becoming a must....
Overcrowding in emergency departments (ED) is a major public health issue, leading to increased workload and exhaustion for the teams, resulting poor outcomes. It seems interesting be able predict admissions of patients ED. The main objective this study was build test prediction tool ED using artificial intelligence. We performed retrospective multicenter two French from January 1st, 2010 December 31st, 2019.We tested several machine learning algorithms compared results. arrival departure...
This study aims to analyze and examine in-depth the feature selection process using Large Language Models (LLMs) optimize firefighter prediction performance. Although features from reliable sources are known significantly aid predictions, their accuracy may be limited in critical situations requiring rigorous prioritization. Therefore, focus was placed on meteorological risks for a comparative diagnosis between extraction Météo France those generated by LLMs across various dimensions. Given...
In this paper, a novel formulation of discrete chaotic iterations in the field dynamical systems is given. Their topological properties are studied: it mathematically proven that, under some conditions, these have behavior as defined by Devaney. This allows us to propose way generate new hash functions. An illustrative example detailed order show how use our theoretical study practice.