Results 141 to 150 of about 79,242 (197)

Voxel‐SLAM: A Complete, Accurate, and Versatile Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping System

Advanced Intelligent Systems, EarlyView.
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu, Haotian Li, Chongjian Yuan, Xiyuan Liu, Jiarong Lin, Rundong Li, Chunran Zheng, Bingyang Zhou, Wenyi Liu, Fu Zhang   +9 more
wiley   +1 more source

Slowing Down Zinc Electrodeposition Kinetics Can Maximize and Compromise Anode Stability: How Slow Is Too Slow?

Angewandte Chemie, EarlyView.
Zinc anode performance is maximized within an optimal deposition‐kinetic window. Additives that tune the deposition exchange current density (i0,Dep) suppress HER at intermediate values, but overly fast kinetics promote dendrites and overly slow kinetics accelerate corrosion/HER.
Md. Arif Faisal, Taizhe Liu, Ashutosh Rana, James H. Nguyen, Saptarshi Paul, Ashutosh Bhadouria, Brian M. Tackett, Jeffrey E. Dick   +7 more
wiley   +2 more sources

Adaptive Sparse Grids in Reinforcement Learning

, 2014
Jochen Garcke, Irene Klompmaker
openalex   +2 more sources

zelll: a fast, framework-free, and flexible implementation of the cell lists algorithm for the Rust programming language. [PDF]

Bioinform Adv
Messow V, Höner Zu Siederdissen C, Habeck M.   +2 more
europepmc   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

Revisiting subclavian access in the ultrasound era: are we comparing sites or techniques? [PDF]

Crit Care
Dexheimer Neto FL, Gabe Beltrami F, Villa A, Maury E.   +3 more
europepmc   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
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, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Dynamic transfer learning with co-occurrence-guided multi-source fusion for urban spatio-temporal crime prediction. [PDF]

Front Big Data
Cui C, Zheng Z, Du H, Wang W.
europepmc   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Sparse grid-based polynomial chaos expansion for aerodynamics of an airfoil with uncertainties

, 2018
Xiaojing Wu, Weiwei Zhang, Shufang Song, Zhengyin Ye   +3 more
openalex   +1 more source