Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring
More than a century after the discovery of superconductors (SCs), numerous studies have
been accomplished to take advantage of SCs in physics, power engineering, quantum …
been accomplished to take advantage of SCs in physics, power engineering, quantum …
White blood cells classification using entropy-controlled deep features optimization
White blood cells (WBCs) constitute an essential part of the human immune system. The
correct identification of WBC subtypes is critical in the diagnosis of leukemia, a kind of blood …
correct identification of WBC subtypes is critical in the diagnosis of leukemia, a kind of blood …
Irrigation water infiltration modeling using machine learning
S Sayari, A Mahdavi-Meymand… - … and Electronics in …, 2021 - Elsevier
The present study proposes five standard artificial intelligence models including Artificial
Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), Group Method of …
Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), Group Method of …
Leukocytes classification for leukemia detection using quantum inspired deep feature selection
Simple Summary In this work, an improved pipeline for Leukocytes subtype classification is
proposed which uses transfer learning for deep feature extraction and a quantum inspired …
proposed which uses transfer learning for deep feature extraction and a quantum inspired …
ALL classification using neural ensemble and memetic deep feature optimization
Acute lymphoblastic leukemia (ALL) is a fatal blood disorder characterized by the excessive
proliferation of immature white blood cells, originating in the bone marrow. An effective …
proliferation of immature white blood cells, originating in the bone marrow. An effective …
Application of classical and novel integrated machine learning models to predict sediment discharge during free-flow flushing
In this study, the capabilities of classical and novel integrated machine learning models
were investigated to predict sediment discharge (Qs) in free-flow flushing. Developed …
were investigated to predict sediment discharge (Qs) in free-flow flushing. Developed …
DeBo: Contrast enhancement for image registration using binary differential evolution and bat optimization
Image registration has demonstrated its significance as an essential tool for target
recognition, classification, tracking, and damage assessment during natural catastrophes …
recognition, classification, tracking, and damage assessment during natural catastrophes …
Population Dynamics of Ascaris suum in Trickle-infected Pigs
P Nejsum, SM Thamsborg… - Journal of …, 2009 - meridian.allenpress.com
The population dynamics of Ascaris suum was studied by long-term exposure of pigs to
infective eggs. The pigs were experimentally inoculated with 25 A. suum eggs/kg/day, and 7 …
infective eggs. The pigs were experimentally inoculated with 25 A. suum eggs/kg/day, and 7 …
Infiltration Rate Assessment of Experimental Rain Garden Using Conventional Models and Machine Learning Algorithms
Rain gardens are recent best management practices adopted for mitigating urban floods.
However, its design parameters lack a rational basis. The present study employs …
However, its design parameters lack a rational basis. The present study employs …
[PDF][PDF] White Blood Cells Classification Using Entropy-Controlled Deep Features Optimization. Diagnostics 2023, 13, 352
White blood cells (WBCs) constitute an essential part of the human immune system. The
correct identification of WBC subtypes is critical in the diagnosis of leukemia, a kind of blood …
correct identification of WBC subtypes is critical in the diagnosis of leukemia, a kind of blood …