Results 61 to 70 of about 11,470 (264)

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

An Intelligent Microfluidics Enabled by Data‐Driven Deep Learning‐Based Microrobot‐Assisted Flow Manipulation

Advanced Intelligent Systems, EarlyView.
An AI‐enabled micromixing framework is developed by integrating cGAN with Bayesian optimization for predictive control of microrobot‐driven flow manipulation. Through this framework, the spatiotemporal evolution of micromixing is learned directly from experimental images, while rapid identification of optimized microrobot actuation strategies is ...
Dineshkumar Loganathan, Chia‐Yuan Chen
wiley   +1 more source

Signal processing method in GPR

, 2021
GPR ' de Altuzay Karmaşası Giderme Teknikleri Birçok GPR sisteminde parazit ve gürültü içeren girişimlerin varlığının saptanması arzulanır. Gömülü nesnelerden elde edilen yansıma sinyalleri, esas olarak yer altı homojen olmamalarından, düz veye pürüzlü zemin yüzeylerinden ve verci alıcı antenler arasında bağantı görevi gören kuvvetli dağınıklık ...
openaire   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Advancing Environmental Sustainability: The Role of Artificial Intelligence in Monitoring, Predicting, and Controlling Sulfur Dioxide Emissions

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley   +1 more source

Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms

Renmin Zhujiang, 2023
Total nitrogen (TN) is one of the important indicators to reflect the degree of water pollution and measure the eutrophication status of lakes and reservoirs.To improve the accuracy of TN prediction,based on the empirical wavelet transform (EWT) and ...
WANG Yongshun, CUI Dongwen
doaj  

Cortical bone distribution in the human mandibular symphysis: Ontogenic and morphometric approaches in archeological context

The Anatomical Record, EarlyView.
Abstract The human mandibular symphysis concentrates multiaxial loads during function and remodels throughout growth, but the precise mechanisms underlying cortical bone shape during growth remain relatively unexplored. Approaches based solely on thickness or external cortical contours provide only partial insights and do not capture the functional ...
Ana Ribeiro, Elsa Garot, Christine Couture, Pierre‐Hadrien Decaup   +3 more
wiley   +1 more source

Gut Health in Ostriches (Struthio camelus): Insights Into Intestinal Structure, Functions, Microbiome, and Improvement Strategies

Animal Research and One Health, EarlyView.
Our paper systematically reviews the intestinal structure, function, and microbiota of ostriches, along with strategies for improving their gut health. We analyze how these factors collectively influence intestinal homeostasis and ostrich welfare, emphasizing probiotics as a promising intervention to enhance gut health, boost population well‐being, and
Zi‐Qun Zhang, Fang‐Fang Guo, Wen‐Juan Du, Meng Li, Aftab Shaukat, Zhu‐Qing Jia, Shu‐Cheng Huang   +6 more
wiley   +1 more source

Adaptive reliability analysis of spatially variable soil slopes using strength reduction sampling and Gaussian process regression

Yantu gongcheng xuebao
Spatial variability of soil parameters has significant impact on slope stability. The critical problem for the slope reliability analysis considering the spatial variability is the dramatic computational demand.
LIU Yadong 1, 3, LIU Xian 1, LI Xueyou 1, 2, YANG Zhiyong 1
doaj   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source