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11篇 您的检索式:作者名="Bama B"
    题名 作者 年代 出处 被引量
1Interleukin- 1 B coverting enzyme mediates cisplatin- induced apoptosis in malignant glioma cells 显示文摘Kondo S Bama B Morinmra T 1995Cancer Res1995,5,5:1
2Preparation of mul- tilayered nanocrystalline thin films with composition- modulated interfaces 显示文摘Biro D Bama P B Szekely L 2008Nuclear Instruments and Methods in Physics Research2008,590,13:1
3Mieroarray - based gene expression analysis of an animal model for closed head injury显示文摘Colak T Cine N Bamae B 2012Injury2012,43,8:1
4Human astrocytes proliferate in response to tumor necrosis factor alphor显示文摘Bama B P Estes M L Jacobs B S 1990J Neuroimmunol1990,30,23:1
5Two β-globin cluster-linked polymorphic loci in thalassemia patients of variable levels of fetal hemoglobin显示文摘Sanmay B Bama CM Pabak S 2005Haematology2005,75,1:1
6A Comparison of Principal Component Analysis, Multiway Principal Component analysis, Trilinear Decomposition and Parallel Factor Analysis for Fault Detection in a Semiconductor Etch Process 显示文摘Wise B M Gallagher N B Butler S W White D Bama G G 1999Journal of Chemometrics (S0886-9383)1999,13,3:1
7Columnar structures in pulycrystalline thin films developed by competitive growth显示文摘Adamik M Bama P B Tomov I 1998Thin Solid Films1998,317,12:1
8Microstructural Evolu- tion During Film Growth显示文摘Petrov I Bama P B Hultman L 2003J Vac Sci Technol2003,21,5:1
9Development of a sensitive ELISA for the detemination of fumonisin B1 incereals显示文摘Bama V I Szabo E Fazekas B 2000Journal of Agricultural and Food Chemistry2000,48,7:1
10The initial states of wetting and spreading of Sn on A1 surfaces显示文摘KLEIN K SCHWARZ B EISENMENGER S C TOMASTIK C BAMA P B KOVACS A 2005Vacuum2005,80,:1
11Sensor-Based Gait Analysis for Parkinson’s Disease Prediction显示文摘Parkinson’s disease is identified as one of the key neurodegenerative disorders occurring due to the damages present in the central nervous system.The cause of such brain damage seems to be fully explained in many research studies,but the understanding of its functionality remains to be impractical.Specifically,the development of a quantitative disease prediction model has evolved in recent decades.Moreover,accelerometer sensor-based gait analysis is accepted as an important tool for recognizing the walking behavior of the patients during the early prediction and diagnosis of Parkinson’s disease.This type of minimal infrastructure equipment helps in analyzing the Parkinson’s gait properties without affecting the common behavioral patterns during the clinical practices.Therefore,the Accelerometer Sensor-based Parkinson’s Disease Identi-fication System(ASPDIS)is introduced with a kernel-based support vector machine classifier model to make an early prediction of the disease.consequently,the proposed classifier can easily predict various severity levels of Parkinson’s disease from the sensor data.The performance of the proposed classifier is com-pared against the existing models such as random forest,decision tree,and k-near-est neighbor classifiers respectively.As per the experimental observation,the proposed classifier has more capability to differentiate Parkinson’s from non-Parkinson patients depending upon the severity levels.Also,it is found that the model has outperformed the existing classifiers concerning prediction time and accuracy respectively.Sathya Bama B Bevish Jinila Y 2023Intelligent Automation & Soft Computing2023,,5:0
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