Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter
Advanced Intelligent Discovery, EarlyView.We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon +3 more
wiley +1 more source
Navigating Large Chemical Spaces Using Graph Theory and Integer Programming. [PDF]
J Chem Inf ModelIkegwu UM, Van Lehn RC, Zavala VM.
europepmc +1 more source
In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs
Advanced Intelligent Discovery, EarlyView.A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley +1 more source
A Q-Learning-Based Hyper-Heuristic Genetic Algorithm for Optimizing Human-Robot Collaborative Assembly Lines. [PDF]
Biomimetics (Basel)Kulaç S.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Experts' Needs Assessment and Evaluation of Mobile Apps for Children of Parents With Mental Illness: Mixed Methods Study. [PDF]
JMIR Form ResLönnfjord V +3 more
europepmc +1 more source
A Heuristic Approach to Portfolio Optimization [PDF]
Constraints on downside risk, measured by shortfall probability, expected shortfall, semi-variance etc., lead to optimal asset allocations which differ from the meanvariance optimum.
Evis Këllezi, Manfred Gilli
core
A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design
Advanced Intelligent Discovery, EarlyView.Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung +10 more
wiley +1 more source
A Learning-Guided Meta-Heuristic Approach for Task Offloading in Four-Tier IoT Networks: A Hybrid UCB-ACO Algorithm. [PDF]
Biomimetics (Basel)Akkan LÖ.
europepmc +1 more source
Comparison of heuristic approaches for the multiple depot vehicle scheduling problem [PDF]
Given a set of timetabled tasks, the multi-depot vehicle scheduling problemis a well-known problem that consists of determining least-cost schedulesfor vehicles assigned to several depots such that each task is accomplishedexactly once by a vehicle.
Hertz, A. +3 more
core