Results 51 to 60 of about 477,530 (214)
Interpretable Short‐Term Electric Load Forecasting
Advanced Intelligent Systems, EarlyView.A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.We developed methods to characterize soft contractile actuators using force–displacement measurements in the passive state and the total force in the active state and define the operational range of thermal, electrothermal, and pneumatic muscles. A graphical method enables the selection of an actuator based on the required mechanical force–displacement
Qiong Wang +5 more
wiley +1 more source
Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function
Advanced Intelligent Systems, EarlyView.A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia +3 more
wiley +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced Intelligent Systems, EarlyView.Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
Gestalt-Based Action Segmentation for Robot Task Learning [PDF]
, 2008 Pardowitz M, Haschke R, Steil JJ, Ritter H. Gestalt-Based Action Segmentation for Robot Task Learning. In: IEEE-RAS 7th International Conference on Humanoid Robots (HUMANOIDS).
J. Steil +7 more
core +1 more source
AI &Innovation, EarlyView.ABSTRACT This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures the factors influencing how ...
Surajit Bag +3 more
wiley +1 more source
ToBI - Team of Bielefeld: The Human-Robot Interaction System for RoboCup@Home 2009 [PDF]
, 2009 Wachsmuth S, Hanheide M, Siepmann F, Spexard T. ToBI - Team of Bielefeld: The Human-Robot Interaction System for RoboCup@Home 2009. Graz, Austria; 2009.The ToBI robocup team has been newly founded in Jan 2009 in order to proceed existing long-term ...
Hanheide, Marc +3 more
core
Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context
Agribusiness, EarlyView.
Alexis H. Villacis
wiley +1 more source
The role of venture‐financed startups in innovation for US agriculture
American Journal of Agricultural Economics, EarlyView.Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff +2 more
wiley +1 more source
Despite the dramatic growth of gender and games research, many challenges remain in designing a more gender inclusive game. This research addresses the problem of how to support gender-inclusivity in games by incorporating theories in games and gender ...
Ibrahim, Roziana
core +1 more source