Results 311 to 320 of about 5,579,561 (370)

Phenobot: An Autodigital Modeling System for in situ Phenotyping in Horticulture

Advanced Intelligent Systems, EarlyView.
This study introduces a robotic phenotyping system for precision agriculture, integrating environmental understanding, motion planning, and in situ plant phenotyping. The system autonomously navigates through real‐world agricultural environments, collects high‐quality plant data, and reconstructs accurate 3D plant models. Results demonstrate the system'
Kewei Hu, Yaoqiang Pan, Tianhao Liu, Hugh Zhou, Chao Chen, Hanwen Kang   +5 more
wiley   +1 more source

Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models. [PDF]

PLoS One
Silva AB, Rocha EDS, Lorenzato JF, Endo PT.   +3 more
europepmc   +1 more source

Real‐Time Motion Generation for Robot Manipulators in Complex Dynamic Environments

Advanced Intelligent Systems, EarlyView.
A motion generation method for robot manipulators in complex dynamic environments is presented. The method integrates global motion planning with local obstacle avoidance, ensuring continuous movement toward dynamically measured target poses. An online distance calculation algorithm is developed, and a collision‐free motion generator is proposed that ...
Tianyu Zhang, Hongguang Wang, Peng Lv, Xin'an Pan, Daqian Wang, Bingbing Yuan, Huiyang Yu   +6 more
wiley   +1 more source

Deep Q‐Network‐Based Hierarchical Path Planning of a Biped Wall‐Climbing Robot for Window Cleaning

Advanced Intelligent Systems, EarlyView.
This article presents a biped wall‐cleaning climbing robotic system for the maintenance of multi‐isolated areas on exoskeleton‐structured windows (ESWs). A full coverage cleaning approach is proposed by integrating a deep Q‐network‐based method with the robotic system to address the complete coverage cleaning path planning problem.
Weijian Zhang, Zikang Li, Lap Mou Tam, Qingsong Xu   +3 more
wiley   +1 more source

Predicting the strengths of basalt fiber reinforced concrete mixed with fly ash using AML and Hoffman and Gardener techniques. [PDF]

Sci Rep
Onyelowe KC, Kamchoom V, Hanandeh S, Ebid AM, Llamuca Llamuca JL, Cayán Martínez JC, Rose E, Awoyera P, Avudaiappan S.   +8 more
europepmc   +1 more source

From Single Sensors to Sensor Arrays: Leveraging Supervised Machine Learning to Read Multiple Soft Capacitive Sensors with a Single Pair of Wires

Advanced Intelligent Systems, EarlyView.
The study presents a method for detecting touch location and force magnitude on soft capacitive sensors without complex electrode patterning. Multifrequency impedance measurements are combined with machine learning to accurately classify five sensing zones and estimate applied force with low error.
Samuel Belk, Samuel Rosset, Iain Anderson, Masoumeh Hesam   +3 more
wiley   +1 more source

Remote sensing with machine learning for multi-decadal surface water monitoring in Ethiopia. [PDF]

Sci Rep
Tesfaye M, Breuer L.
europepmc   +1 more source

Cloud‐Based Control System with Sensing and Actuating Textile‐Based IoT Gloves for Telerehabilitation Applications

Advanced Intelligent Systems, EarlyView.
Using cloud computing technology, a telerehabilitation application allows patients to perform exercises remotely. Sensor data from a textile‐based IoT glove is processed in the cloud and transmitted as exercise commands to an actuating T‐IoT glove worn by patients.
Kadir Ozlem, Cagatay Gumus, Ayse Feyza Yilmaz, Asli Tuncay Atalay, Ozgur Atalay, Gökhan Ince   +5 more
wiley   +1 more source

Inversion and analysis of leaf area index (LAI) of urban park based on unmanned aerial vehicle (UAV) multispectral remote sensing and random forest (RF). [PDF]

PLoS One
Li Y, Wang B, Zhao X, Zhang Y, Qiao L.
europepmc   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source