Results 131 to 140 of about 12,148 (269)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Screening for Familial Hypercholesterolemia in Children and its Cost-Effectiveness. [PDF]
Nagahara K.
europepmc +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu+5 more
wiley +1 more source
Cost-effectiveness analysis of artificial intelligence (AI) in earlier detection of liver lesions in cirrhotic patients at risk of hepatocellular carcinoma in Italy. [PDF]
Maas L+13 more
europepmc +1 more source
Gecko‐Inspired Adhesive Grasping from Convex to Flat Surfaces with Contact Sensing
A gecko‐inspired adhesive gripper with a pair of soft hierarchical bio‐toes and a bionic rolling module is designed for adaptive grasping from convex to flat surfaces. Integrated adhesive contact sensing enables the smart grabbing of complex items. The gripper exhibits adaptability, load‐bearing capacity, and potential for applications in industries ...
Liuwei Wang+6 more
wiley +1 more source
A Task and Motion Planning Framework for Partially Observable Household Manipulation Scenes
This paper presents a novel TAMP framework tackling partial observability, cluttered scenes, and vague goals via symbolic reasoning and occlusion‐aware planning. It outperforms prior learning, policy, and LLM‐based methods in six real and simulated household tasks.
Yuhong Ma+3 more
wiley +1 more source
A thorough analysis of event‐based vision for flapping‐wing robots is presented, with emphasis on hardware integration, suitability under challenging flight conditions, and real‐time performance. Theoretical and experimental studies demonstrate how these sensors enable robust and efficient onboard perception for ornithopters, thereby advancing autonomy
Raul Tapia+5 more
wiley +1 more source
Geometry‐Guided Transformer for Monocular 3D Object Detection
This work proposes a geometry‐guided transformer‐based framework for monocular 3D object detection. By incorporating spatial features and geometry guidance through the advanced transformer structure, the method addresses the limitations of existing methods and improves detection accuracy and convergence speed, achieving SOTA detection performance with ...
Man Zhang+4 more
wiley +1 more source
Cost-effectiveness of different tuberculosis diagnostic approaches in Nigeria based on decision analytical modelling. [PDF]
Ibrahim HU+17 more
europepmc +1 more source