Results 171 to 180 of about 81,104 (237)
Identification of frame geometry and boundary conditions from free-vibration modal signatures. [PDF]
Karimi-Asrami A +4 more
europepmc +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Connected Components on Lie Groups and Applications to Multi-Orientation Image Analysis. [PDF]
van den Berg NJ, Mula O, Vis L, Duits R.
europepmc +1 more source
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu +2 more
wiley +1 more source
A New Definition of Peridynamic Damage for Thermo-Mechanical Fracture in Brittle Materials. [PDF]
Tao S, Han F.
europepmc +1 more source
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
Hamiltonian Formulation and Aspects of Integrability of Generalised Hydrodynamics. [PDF]
Bonnemain T, Caudrelier V, Doyon B.
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
A lightweight dual-stream architecture for flow enhanced anomaly detection (FEAD). [PDF]
Yin C, Zhang Y, Qi C.
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source

