Results 171 to 180 of about 8,190 (293)

Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface

Advanced Intelligent Systems, EarlyView.
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, Hyunreal Park, Hyunsu Kim, Harim Ji, Dongho Yee, Dongjun Lee   +5 more
wiley   +1 more source

Variable Selection via Fused Sparse-Group Lasso Penalized Multi-state Models Incorporating Molecular Data. [PDF]

Biom J
Miah K, Goeman JJ, Putter H, Kopp-Schneider A, Benner A.   +4 more
europepmc   +1 more source

Adversarial Erasing Enhanced Multiple Instance Learning (siMILe): Discriminative Identification of Oligomeric Protein Structures in Single Molecule Localization Microscopy

Advanced Intelligent Systems, EarlyView.
Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson, Y. Lydia Li, Claire A. Shou, Ben Cardoen, John Lim, Timothy H. Wong, Ismail M. Khater, Ivan Robert Nabi, Ghassan Hamarneh   +8 more
wiley   +1 more source

Frugal Sampling Strategies for Navigating Complex Reaction Spaces. [PDF]

Org Process Res Dev
Porte V, Hepp L, Kollmus P, Lu S, Serrano E, Blanco D, Santagostino M.   +6 more
europepmc   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

Advanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

Multi-strategy Sea Horse Optimization algorithm for UAV path planning. [PDF]

Front Robot AI
Seyyedabbasi A, Arasteh B, Gurhanli A, Rasheed J.   +3 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Reliability enhancement of EM-based tuning of microwave components using regularized operating band scanning. [PDF]

Sci Rep
Koziel S, Pietrenko-Dabrowska A.
europepmc   +1 more source

In‐Memory Continuous‐Time SAT Solver Based on Bidirectional 11‐T SRAM Macro

Advanced Intelligent Systems, EarlyView.
This article reported a continuous‐time (CT) Boolean satisfiability (SAT) problem solver using bidirectional 11T‐SRAM macro. The proposed system operates asynchronously using capacitor‐based gradient integration and maximizes the parallelism for SAT solving by in‐memory computing (IMC).
Dongseok Kwon, Tinish Bhattacharya, George Higgins Hutchinson, Dmitri Strukov   +3 more
wiley   +1 more source

Better Fit, Same Game? Risk Adjustment, Coding Incentives, and the Limits of Prediction. [PDF]

Health Serv Res
Kronick R.
europepmc   +1 more source