Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
, « A review of ultrasonic sensing and machine learning methods to monitor industrial processes », Ultrasonics, vol. 124, p. 106776, août 2022, doi: 10.1016/j.ultras.2022.106776. - T. Ageyeva, S. Horváth
-
Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 12 hours ago
mathematical modeling (preferably physiological systems) and/or control theory. -Experience in signal processing and artificial intelligence methods (time-series analysis, machine learning, multimodal
-
challenge: enhancing the resilience of avalanche hazard forecasting and monitoring in areas overlooking mountain roads, in a rapidly changing climate. We aim to pool procedures, snow and weather measurement
-
: • PhD in Geography (Remote Sensing, Geomatics), Computer Science, Agricultural Sciences • Skills and/or knowledge in artificial intelligence (Machine Learning) and programming: proficiency in Python
-
of the scientific publications • Motivation letter • Letter of recommendation of the thesis supervisor Description of the topic: Change-point detection (CPD) is a fundamental problem in statistics and machine