Results 231 to 240 of about 13,686,872 (271)

Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies

Advanced Robotics Research, EarlyView.
An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley   +1 more source

Development and validity evidence for the probabilistic reasoning test in undergraduate medical students. [PDF]

BMC Med Educ
Drummond D, Kariyawasam D, Torchin H, Mauvais FX, Berthaud R, Ouldali N, Levy M.   +6 more
europepmc   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

Large language models as uncertainty-calibrated optimizers for experimental discovery. [PDF]

Nat Mach Intell
Ranković B, Griffiths RR, Schwaller P.
europepmc   +1 more source

Fundamental limits incorporating logical reasoning into Shannon's information theory. [PDF]

Proc Natl Acad Sci U S A
Lastras LA, Lenchner J, Trager BM, Szpankowski W, Squillante MS, Wu CW, Fagin R, Gray A.   +7 more
europepmc   +1 more source

Inferring the causes of noise from binary outcomes: A normative theory of learning under uncertainty. [PDF]

Psychol Rev
Fang X, Piray P.
europepmc   +1 more source

The evolution of sampling in epidemiology: from classical probability models to AI-enhanced recruitment and active learning. [PDF]

Epidemiol Health
Musa SA.
europepmc   +1 more source

Potential Surprise Theory as a Practical and Theoretical Cornerstone of the Uncertainty-Based Perspective on Risk. [PDF]

Risk Anal
Derbyshire J.
europepmc   +1 more source

Towards High-Accuracy Athletic Injury Predictions Using a First-Principles Modelling Approach: Theory to (Future) Practice. [PDF]

Sports Med
Kalkhoven JT, Impellizzeri FM, Norris DL, Edwards WB.   +3 more
europepmc   +1 more source

Review: J. L. Doob, Classical potential theory and its probabilistic counterpart

, 1985
openaire   +1 more source