Results 231 to 240 of about 686,774 (286)

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
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, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Determining the optimal level of buffel grass hay as a source of physically effective fiber in a diet with high proportions of forage cactus for sheep finished in the feedlot. [PDF]

Trop Anim Health Prod
Coelho DFO, de Oliveira JS, Ramos JPF, Pereira DM, Macêdo AJDS, Oliveira CJB, Lemos MLP, Viana NB, Gomes PGB, Leite GM, Santos EM.   +10 more
europepmc   +1 more source

i‐Tac: Inverse Design of 3D‐Printed Tactile Elastomers with Tuneable Optical and Mechanical Properties

Advanced Intelligent Systems, EarlyView.
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley   +1 more source

Associations of umbilical cord vitamin D levels with childhood cardiometabolic risks: a longitudinal mother-child study. [PDF]

Front Nutr
Mao D, Wu H, Yuen LY, Ho CS, Tam CH, Chan MH, Lowe WL, Ma RC, Wang CC, Tam WH.   +9 more
europepmc   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

Advanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

The effects of increasing dosages of narasin on ruminal fermentation patterns, bacterial community composition, and nutrient digestibility in beef cattle receiving feedlot diets. [PDF]

PLoS One
Lelis ALJ, da Silva LAF, Casali DM, Leiva T, Rodrigues MC, Barroso JPR, Lasmar PVF, Tomaz CL, Barbosa AJ, Sartini CCF, de Souza JM, Millen DD.   +11 more
europepmc   +1 more source

Predicting Crystal Structures and Ionic Conductivities in Li3YCl6−xBrx Halide Solid Electrolytes Using a Fine‐Tuned Machine Learning Interatomic Potential

Advanced Intelligent Systems, EarlyView.
This study refines the Crystal Hamiltonian Graph Network to predict energies, structures, and lithium‐ion dynamics in halide electrolytes. By generating ordered structural models and using an iterative fine‐tuning workflow, we achieve near‐ab initio accuracy for phase stability and ionic transport predictions.
Jonas Böhm, Aurélie Champagne
wiley   +1 more source

Parietal Alpha-Band Connectivity Tracks Listening Effort in Hearing-Aid Users Under Competing Speech and Noise. [PDF]

Eur J Neurosci
Shahsavari Baboukani P, Alickovic E, Østergaard J, Eskelund K.   +3 more
europepmc   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Best Practices for Developing Linear Models With Multiple Explanatory Variables. [PDF]

Adv Genet (Hoboken)
Li B, Li X.
europepmc   +1 more source