(AGENPARL) – ESCH-SUR-ALZETTE gio 27 aprile 2023 Fully virtual ( contact Dr. Jakub Lengiewicz to register) Fonte/Source: https://wwwfr.uni.lu/index.php/fstm/actualites/machine_learning_seminar_meeting_joint_optimisation_of_energy_harvesting_and_sensing_of_piezoelectric_energy_harvesters_in_a_cable_stayed_bridge_based_on_a_deep_learning_framework
Browsing: sensing
(AGENPARL) – ROME mer 26 aprile 2023 What does the future fight with a peer adversary look like? This question…
(AGENPARL) -ARLINGTON (VA) mar 25 aprile 2023 Current environmental monitoring approaches can rely on both distributed sensor networks – on…
(AGENPARL) – NEW HAVEN, CONNECTICUT (USA) mar 11 aprile 2023 In a new study, Yale scientists introduce a software-based approach to…
(AGENPARL) – MANCHESTER mer 05 aprile 2023 The seminar will discuss Professor Gabrys’ recent book of the same title. The…
(AGENPARL) – BRISTOL (UK) mar 04 aprile 2023 An innovative technique to detect and characterise molecules with greater precision has…