Results 171 to 180 of about 850,977 (257)

Quadra Sense: A Fusion of Deep Learning Classifiers for Mitosis Detection in Breast Cancer Histopathology. [PDF]

Diagnostics (Basel)
Alhassan AM, Altmami NI.
europepmc   +1 more source

Data‐Driven Prediction of Block Copolymer Morphology Using Coarse‐Grained Modeling and Machine Learning

Journal of Polymer Science, EarlyView.
An integrated framework combining high‐throughput CG‐MD simulations, automated image‐based feature extraction, and supervised machine learning enables efficient, interpretable, and data‐driven prediction of block copolymer morphological behaviors.
Lan Xu, Zhaofan Li, Wenjie Xia
wiley   +1 more source

Spatiotemporal prediction of sneeze pollutants in enclosed spaces: a CNN-LSTM approach validated by field measurements and CFD-Robotics arm twin system. [PDF]

Front Robot AI
Zhao M, Zhang S, Li K, Zhang Y, Wang X, Chen T, Ren Y, Lu Y, Wang J.   +8 more
europepmc   +1 more source

Hexapod Locomotion Across Structured and Unstructured Terrains: A Data‐Driven Review of Modeling, Control, and Validation

Journal of Field Robotics, EarlyView.
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley   +1 more source

Enhanced Cropland SOM Prediction via LEW-DWT Fusion of Multi-Temporal Landsat 8 Images and Time-Series NDVI Features. [PDF]

Sensors (Basel)
Ning L, Li D, Xia Y, Xiao E, Han D, Yan J, Dong X.   +6 more
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

From pixels to planning: scale-free active inference. [PDF]

Front Netw Physiol
Friston K, Heins C, Verbelen T, Da Costa L, Salvatori T, Markovic D, Tschantz A, Koudahl M, Buckley C, Parr T.   +9 more
europepmc   +1 more source

Synergies of Geospatial and Digital Technologies for Sustainable Rural Development: A Data‐Driven Analysis of Topics and Novelty Assessment

Sustainable Development, EarlyView.
ABSTRACT The adoption of geospatial and digital technologies, including Geographic Information Systems (GIS), Building Information Modelling (BIM), Digital Twins, the Internet of Things (IoT) and Artificial Intelligence (AI), is increasingly recognised as key enablers of sustainable development.
Monica C. M. Parlato, Andrea Pezzuolo
wiley   +1 more source

A time-domain Runge-Kutta dual reciprocity boundary element method for scalar wave propagation problem. [PDF]

Sci Rep
Zhou F, Deng J, Man J, Qin Y, Yu J, Zhang Y, Li W.   +6 more
europepmc   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source