Results 21 to 30 of about 23,700 (266)
Critical Parameters in Particle Swarm Optimisation
9 pages, 5 ...
J. Michael Herrmann +2 more
openaire +2 more sources
Estimation of fisheye camera external parameter based on second‐order cone programming
Although second‐order cone programming (SOCP) has been applied to optimise camera parameters in computer vision, it is occasionally been used to refine fisheye camera external parameters as well.
Haijiang Zhu +5 more
doaj +1 more source
EXPERIMENTAL DESIGN OF A SYMMETRICAL ECCENTRIC VIBRATION HARVESTER FOR WALNUTS
Under the cultivation mode of walnut dwarfism and dense planting, existing walnut vibration harvesting machinery has the problems of poor adaptability and low harvesting efficiency.
Jia Liu +4 more
doaj +1 more source
Energy consumption parameter analysis of industrial robots using design of experiment methodology
During the last decade, industrial robot installations have increased greatly, contributing to higher energy consumption at the process level. To align with Industry 4.0 objectives to reduce energy consumption, further Industrial Internet of Things, and ...
David A. Guerra-Zubiaga +1 more
doaj +1 more source
Enhanced Parameter Estimation of DENsity CLUstEring (DENCLUE) Using Differential Evolution
The task of finding natural groupings within a dataset exploiting proximity of samples is known as clustering, an unsupervised learning approach. Density-based clustering algorithms, which identify arbitrarily shaped clusters using spatial dimensions and
Omer Ajmal +6 more
doaj +1 more source
Cuckoo Coupled Improved Grey Wolf Algorithm for PID Parameter Tuning
In today’s automation control systems, the PID controller, as a core technology, is widely used to maintain the system output near the set value. However, in some complex control environments, such as the application of ball screw-driven rotating motors,
Ke Chen +5 more
doaj +1 more source
An adaptive Cuckoo search algorithm for optimisation
Cuckoo search is one of many nature-inspired algorithms used extensively to solve optimisation problems in different fields of engineering. It is a very effective in solving global optimisation because it is able to maintain balance between local and ...
M. Mareli, B. Twala
doaj +1 more source
Covering Arrays ML HPO for Static Malware Detection
Malware classification is a well-known problem in computer security. Hyper-parameter optimisation (HPO) using covering arrays (CAs) is a novel approach that can enhance machine learning classifier accuracy. The tuning of machine learning (ML) classifiers
Fahad T. ALGorain, John A. Clark
doaj +1 more source
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source
Battery packs found in electric vehicles (EVs) require thermal management systems to maintain safe operating temperatures in order to improve device performance and alleviate irregular temperatures that can cause irreversible damage to the cells ...
Michael Murphy, Mohammad Akrami
doaj +1 more source

