Results 151 to 160 of about 9,149 (290)
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
A Hybrid Federated Learning Framework for Enhancing Privacy and Robustness in Non-Intrusive Load Monitoring. [PDF]
Rong J, Zhou Q, Wu H.
europepmc +1 more source
Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface
This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee +5 more
wiley +1 more source
SpyShield: a Spyfall inspired defense mechanism against poisoning attacks in federated learning. [PDF]
Elgharieb Y +3 more
europepmc +1 more source
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Epimer discrimination remains challenging due to subtle NMR differences. Here, we propose a methodology based on 13C‐RCSA and RDC anisotropic parameters, enabling the assignment of two flexible tetraprenyltoluquinol epimers (1a and 1b) with remote stereoclusters.
Juan Carlos C. Fuentes‐Monteverde +6 more
wiley +2 more sources
A note on a bulk arrivals quorum queuing system with an unreliable server
This paper considers a service system with bulk service and an unreliable server, generalising the work of Tadj and Choudhury [Applied Mathematics Letters, 22 (2009) 1710-1714].
Gautam Choudhury +2 more
core
Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
Mitochondria‐Damaging Self‐Reporting Probe for Cancer Therapy
We developed a class of self‐reporting cationic chemotherapeutic probes that selectively induce mitochondrial damage and apoptosis in cancer cells. Their unique mitochondria‐to‐nucleus fluorescence migration enables real‐time visualization of the therapeutic process. ABSTRACT Mitochondrial damage induced by chemotherapeutic agents through disruption of
Hai Xu +10 more
wiley +2 more sources
Revolutionising acute aortic syndrome diagnosis: The role of artificial intelligence in non-contrast computed tomography. [PDF]
Wang Q +7 more
europepmc +1 more source

