Results 81 to 90 of about 1,171,833 (351)
Do's and Don'ts When Visiting Circularly Polarized Luminescence
Advanced Optical Materials, EarlyView.This perspective presents our insights into the principles, challenges, and opportunities of circularly polarized luminescence (CPL). Highlighting key concepts such as the dissymmetry factor (glum) and molecular design strategies, we discuss advances in CPL efficiency, emerging NIR emitters, solid‐state applications, and the growing role of theory and ...
Rafael G. Uceda +9 more
wiley +1 more source
Geospatial Approach for the Analysis of Forest Cover Change Detection using Machine Learning
Geosfera Indonesia, 2020 Spatial data classification is famous over recent years in order to extract knowledge and insights into the data. It occurs because vast experimentation was used with various classifiers, and significant improvement was examined in accuracy and ...
R. Sanjeeva Reddy +2 more
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
ReaLSAT, a global dataset of reservoir and lake surface area variations
Scientific Data, 2022 Measurement(s) surface area of lakes and reservoirs Technology Type(s) unsupervised machine learning on satellite derived ...
Ankush Khandelwal +7 more
doaj +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
InformationIn the realm of critical infrastructure protection, robust intrusion detection systems (IDSs) are essential for securing essential services. This paper investigates the efficacy of various machine learning algorithms for anomaly detection within critical
Avinash Kumar, Jairo A. Gutierrez
doaj +1 more source
Does COVID-19 Clinical Status Associate with Outcome Severity? An Unsupervised Machine Learning Approach for Knowledge Extraction [PDF]
, 2021 Eleni Karlafti +12 more
openalex +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Machine Learning for Neuroimaging with Scikit-Learn
Frontiers in Neuroinformatics, 2014 Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series.
Alexandre eAbraham +16 more
doaj +1 more source
Advanced Science, EarlyView.This study presents a machine‐learning framework entitled MERLIN that infers the microanatomical localization of macrophages from single‐cell transcriptomic data in structured organs such as the kidney and brain. Applying this method to existing datasets from models of acute kidney injury and diabetic nephropathy uncovered spatially resolved insights ...
Junping Yin +18 more
wiley +1 more source