Results 31 to 40 of about 237,093 (336)

Perceptions du risque de submersion marine par la population du littoral languedocien : contribution à l'analyse de la vulnérabilité côtière

, 2013
Cet article traite de vulnerabilite littorale face au risque de submersion marine. Cette vulnerabilite est divisee en quatre composantes : les aleas (phenomenes meteorologiques, changement climatique, etc.), les enjeux (valorisation des biens marchands ...
Anne-Peggy Hellequin, H. Flanquart, Catherine Meur-Ferec, Bénédicte Rulleau   +3 more
semanticscholar   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Utiliser la polysémie de la résilience pour comprendre les différentes approches du risque et leur possible articulation

, 2013
La resilience est un terme a la mode, qui souffre cependant de sa polysemie. Cet article propose de montrer deux choses. D’une part, cette polysemie est autant le fait de la construction pluridisciplinaire du concept que de la coexistence de deux ...
M. Reghezza-Zitt
semanticscholar   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

SI‐bioATRP in Mesoporous Silica for Size‐Exclusion Driven Local Polymer Placement

Advanced Functional Materials, EarlyView.
An enzyme‐catalyzed surface‐initiated atom transfer radical polymerization (SI‐bioATRP) of an anionic monomer within mesoporous silica particles, using hemoglobin as a catalyst, allows for controlling the location of the formed polymer via size‐exclusion effects between the nanopores and the biomacromolecules, thereby opening routes to functional ...
Oleksandr Wondra, Eleonora Ornati, Robert Lehn, Joanna J. Mikolei, Hergen Breitzke, Raheleh Pardehkhorram, Gerd Buntkowsky, Nico Bruns, Annette Andrieu‐Brunsen   +8 more
wiley   +1 more source

Leibniz : assurance, risque et mortalité

Astérion, 2007
Dès 1678, Leibniz, dans plusieurs manuscrits, propose la fondation d’une caisse d’assurance. Il évoque également un fonds de réserve et un mont-de-piété.
Jean-Marc Rohrbasser
doaj   +1 more source

Gestion du risque de crédit par les institutions du système financier décentralisé (ISFDS) du Sud-Kivu : Une analyse par les données de Panel [PDF]

Mouvements et Enjeux Sociaux, 2023
Le risque de crédit et sa gestion représentent une question préoccupante et de survie pour la majorité des institutions financières. Cette étude vise à évaluer les facteurs déterminants du risque de crédit en mettant en relation les ratios financiers et ...
Jean-Claude NGOY ILUNGA Wa MWAMBA , Alain IRENGE MIHIGO , Fidèle MOKEMBA MABATE   +2 more
doaj  

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source