Results 41 to 50 of about 695 (187)
Direct numerical simulation of complex viscoelastic flows via fast lattice-Boltzmann solution of the Fokker–Planck equation [PDF]
, 2013 Micro–macro simulations of polymeric solutions rely on the coupling between macroscopic conservation equations for the fluid flow and stochastic differential equations for kinetic viscoelastic models at the microscopic scale.
AMMAR, Amine +2 more
core +8 more sources
Optimal Control Virtual Inertia of Optical Storage Microgrid Based on Improved Sailfish Algorithm
Wuhan University Journal of Natural Sciences, 2022 The optical storage microgrid system composed of power electronic converters is a small inertia system. Load switching and power supply intermittent will affect the stability of the direct current (DC) bus voltage. Aiming at this problem, a virtual inertia optimal control strategy applied to optical storage microgrid is proposed.
Hongfei LIAO +5 more
openaire +1 more source
Stochastic Bat Optimization Model for Secured WSN with Energy‐Aware Quantized Indexive Clustering
Journal of Sensors, Volume 2023, Issue 1, 2023., 2023 The wireless sensor networks (WSNs) with dynamic topology communication among the sensor nodes is vulnerable to numerous attacks. As they have limited power, there arises a conflict between the complex security scheme and the consumption of energy which are inversely proportional to each other.
J. Paruvathavardhini +2 more
wiley +1 more source
Reducing memory requirements for large size LBM simulations on GPUs [PDF]
, 2017 The scientific community in its never-ending road of larger and more efficient computational resources is in need of more efficient implementations that can adapt efficiently on the current parallel platforms. Graphics processing units are an appropriate
Axner +30 more
core +2 more sources
Medical Feature Selection Approach Based on Generalized Normal Distribution Algorithm [PDF]
, 2021 This paper proposes a new pre-processing technique to separate the most effective features from those that might deteriorate the performance of the machine learning classifiers in terms of computational costs and classification accuracy because of their ...
Abdel-Basset, Mohamed +5 more
core +1 more source
IET Control Theory &Applications, Volume 16, Issue 10, Page 945-971, 2 July 2022., 2022 Abstract Salp swarm algorithm (SSA) is a relatively new bio‐inspired meta‐heuristic optimization algorithm that mimics the navigating and foraging behavior of salps in oceans. This paper presents an orthogonal quasi‐opposition‐based learning‐driven dynamic SSA (OBDSSA) for solving global optimization problems.
Zongshan Wang +6 more
wiley +1 more source
Journal of Healthcare Engineering, Volume 2022, Issue 1, 2022., 2022 Pancreatic tumor is a lethal kind of tumor and its prediction is really poor in the current scenario. Automated pancreatic tumor classification using computer‐aided diagnosis (CAD) model is necessary to track, predict, and classify the existence of pancreatic tumors.
Maha M. Althobaiti +5 more
wiley +1 more source
CYCLeR—a novel tool for the full isoform assembly and quantification of circRNAs [PDF]
, 2023 Splicing is one key mechanism determining the state of any eukaryotic cell. Apart from linear splice variants, circular splice variants (circRNAs) can arise via non-canonical splicing involving a back-splice junction (BSJ).
Meyer, Irmtraud M., Stefanov, Stefan R.
core +1 more source
Feedback Autonomic Provisioning for Guaranteeing Performance in MapReduce Systems [PDF]
, 2018 International audienceCompanies have a fast growing amounts of data to process and store, a data explosion is happening next to us. Currentlyone of the most common approaches to treat these vast data quantities are based on the MapReduce parallel ...
Berekmeri, Mihaly +4 more
core +1 more source