Results 21 to 30 of about 800,737 (240)
Generating realistic scaled complex networks [PDF]
Research on generative models is a central project in the emerging field of network science, and it studies how statistical patterns found in real networks could be generated by formal rules.
Gutfraind, Alexander +4 more
core +3 more sources
A linear programming-based method for job shop scheduling [PDF]
We present a decomposition heuristic for a large class of job shop scheduling problems. This heuristic utilizes information from the linear programming formulation of the associated optimal timing problem to solve subproblems, can be used for any ...
A. P. J. Vepsalainen +27 more
core +4 more sources
Benchmarking a Many-Core Neuromorphic Platform With an MPI-Based DNA Sequence Matching Algorithm
SpiNNaker is a neuromorphic globally asynchronous locally synchronous (GALS) multi-core architecture designed for simulating a spiking neural network (SNN) in real-time.
Gianvito Urgese +5 more
semanticscholar +1 more source
Implementation of routine outcome measurement in child and adolescent mental health services in the United Kingdom: a critical perspective [PDF]
The aim of this commentary is to provide an overview of clinical outcome measures that are currently recommended for use in UK Child and Adolescent Mental Health Services (CAMHS), focusing on measures that are applicable across a wide range of conditions
A Willis +40 more
core +2 more sources
A low complexity hardware architecture for motion estimation [PDF]
This paper tackles the problem of accelerating motion estimation for video processing. A novel architecture using binary data is proposed, which attempts to reduce power consumption.
Larkin, Daniel +2 more
core +1 more source
EU Emission trading – better job second time around? [PDF]
The EU Emission Trading Scheme (EU ETS) for CO2-emissions from energy and industry installations reflects a paradigm shift towards market-based instruments for environmental policy in the EU. The centerpieces of the EU ETS are National Allocation Plans (
Betz, Regina +2 more
core +1 more source
This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha +4 more
wiley +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
An early assessment of national allocation plans for phase 2 of EU emission trading [PDF]
No description ...
Betz, Regina +2 more
core +1 more source
Bio‐Friendly Artificial Muscles Based on Carbon Nanotube Yarns and Eutectogel Derivatives
Solid‐state artificial muscles based on coiled commercial carbon nanotube yarns coated with eutectogel derivatives exhibit unipolar actuation through selective ion intercalation. Combining polyanionic and polycationic gels enables enhanced contractile stroke and high energy density.
Gabriela Ananieva +6 more
wiley +1 more source

