Results 131 to 140 of about 66,699 (304)
Fuzzy rule interpolation for multidimensional input spaces in determining d50c of hydrocyclones
, 2003 Fuzzy rule-based systems have been very popular in many engineering applications. In mineral engineering, fuzzy rules are normally constructed using some fuzzy rule extraction techniques to establish the determination model in predicting the d50c of ...
Wong, K.W. +3 more
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Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
The role of classifiers in feature selection: Number vs nature
, 2008 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Wrapper feature selection approaches are widely used to select a small subset of relevant features from a dataset.
Chrysostomou, Kyriacos Andrews
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Using multiple and negative target rules to make classifiers more understandable
, 2006 [Abstract]: One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible.
Li, Jiuyong +5 more
core +1 more source
Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization
Molecular Oncology, EarlyView.In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu +13 more
wiley +1 more source
Advances in classification of EEG signals via evolving fuzzy classifiers and dependant multiple HMMs. [PDF]
, 2006 Two novel approaches to the problem of brain signals (electroencephalogram (EEG)) classification are introduced in the paper. The first method is based on a modular probabilistic network architecture that employs multiple dependant hidden Markov models ...
Angelov, Plamen +3 more
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Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma
Molecular Oncology, EarlyView.Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski +10 more
wiley +1 more source
LC an effective classification based association rule mining algorithm
Classification using association rules is a research field in data mining that primarily uses association rule discovery techniques in classification benchmarks.
Mahmood, Qazafi
core
, 2008 This chapter covers different approaches that may be taken when building an ensemble method, through studying specific examples of each approach from research conducted by the authors.
Eastwood, Mark, Gabrys, Bogdan
core
AN IMPROVED MEDICAL DECISION SUPPORT SYSTEM TO GRADING THE DIABETIC RETINOPATHY USING FUNDUS IMAGES [PDF]
ICTACT Journal on Image and Video Processing, 2012 An improved Computer Aided Clinical Decision Support System has been developed for grading the retinal images using neural network and presented in this paper.
M. Madheswaran, S. Jerald Jeba Kumar
doaj