Results 171 to 180 of about 52,409 (312)

Machine learning-assisted high-speed combinatorial optimization with Ising machines for dynamically changing problems. [PDF]

Nat Commun
Hamakawa Y, Kashimata T, Yamasaki M, Tatsumura K.   +3 more
europepmc   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source

Terminal-Edge-Cloud Collaborative Computation Offloading and Resource Allocation Strategy Based on Improved Mayfly Algorithm for District Heating Systems. [PDF]

Sensors (Basel)
Chen GH, Ma HY, Yu W, Wen J, Chen K, Wang JJ, Chen SD, Sun YL.   +7 more
europepmc   +1 more source

Multi-Period Asset Allocation: An Application of Discrete Stochastic Programming

The issue of modeling farm financial decisions in a dynamic framework is addressed in this paper. Discrete stochastic programming is used to model the farm portfolio over the planning period.
Larsen, Ryan A., Vedenov, Dmitry V., Leatham, David J.   +2 more
core  

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Heart rate optimizer: a novel bio-inspired metaheuristic algorithm. [PDF]

Sci Rep
Hosney ME, Emam MM, Saad MR, Samee NA, Houssein EH.   +4 more
europepmc   +1 more source

Optimization in Telecommunication Networks

Network design and network synthesis have been the classical optimization problems intelecommunication for a long time. In the recent past, there have been many technologicaldevelopments such as digitization of information, optical networks, internet ...
Hoesel,Stan,van
core  

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Advances in Optimized and Safe Path Planning of Marine Autonomous Surface Vehicles: A Review. [PDF]

Sensors (Basel)
Kou L, Gao X.
europepmc   +1 more source

A comprehensive literature classification of simulation optimisation methods

Simulation Optimization (SO) provides a structured approach to the system design and configuration when analytical expressions for input/output relationships are unavailable. Several excellent surveys have been written on this topic.
Hachicha, Wafik, Masmoudi, Faouzi, Chachoub, Habib, Ammeri, Ahmed   +3 more
core