Results 51 to 60 of about 7,772,956 (333)
A hybrid clustering algorithm for data mining
, 2012 Data clustering is a process of arranging similar data into groups. A clustering algorithm partitions a data set into several groups such that the similarity within a group is better than among groups. In this paper a hybrid clustering algorithm based on
Jain, Ravindra
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Healthcare Cost Prediction Based on Hybrid Machine Learning Algorithms
Mathematics, 2023 Healthcare cost is an issue of concern right now. While many complex machine learning algorithms have been proposed to analyze healthcare cost and address the shortcomings of linear regression and reliance on expert analyses, these algorithms do not take
Shujie Zou +3 more
doaj +1 more source
A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems
, 2010 This study presents a new approach based on a hybrid algorithm consisting of Genetic Algorithm (GA), Pattern Search (PS) and Sequential Quadratic Programming (SQP) techniques to solve the well-known power system Economic dispatch problem (ED).
Al-Othman, A. K. +2 more
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Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
FEBS Open Bio, EarlyView.Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 more
wiley +1 more source
A Novel Hybrid Harris Hawks Optimization for Color Image Multilevel Thresholding Segmentation
IEEE Access, 2019 Multilevel thresholding has got more attention in recent years with various successful applications. However, the implementation becomes more and more complex and time-consuming when the number of thresholds is high, and color images which contain more ...
Xiaoli Bao, Heming Jia, Chunbo Lang
doaj +1 more source
Key schedule algorithm based on coordinate geometry of a three-dimensional hybrid cube [PDF]
, 2019 Cryptographic algorithms play an important role in information security where it ensures the security of data across the network or storage. A key schedule algorithm is the mechanism that generates and schedules all session-keys for the encryption ...
Mushtaq, Muhammad Faheem
core
Cluster hybrid Monte Carlo simulation algorithms [PDF]
Physical Review E, 2002 16 pages, 10 ...
Plascak, J. A. +2 more
openaire +3 more sources
IEEE Access, 2019 Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the Canis lupus wolves. It has been extensively employed to a variety of practical applications.
Sankalap Arora +4 more
semanticscholar +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source