2篇
您的检索式：作者名="B.Sivakumar"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A COMPARATIVE STUDY OF THE INVENTORY SYSTEM WITH SERVICE FACILITY AND POSTPONED DEMANDS显示文摘In this article,we present a continuous review(s,S)inventory system with a service facility consisting of finite buffer(capacity N)and a single server.The customers arrive according to a Poisson process.The individual customer's unit demand is satisfied after a random time of service,which is assumed to be exponential.When the inventory level drops to s an order for Q(=S-s)items is placed.The lead time of reorder is assumed to be exponential distribution.An arriving customer,who finds the buffer is full,enters into the pool of infinite size or leaves the system according to a Bernolli trial.At the time of service completion,if the buffer size drops to a preassigned level L(1 | J.Sebastian Arockia Jenifer B.Sivakumar | 2014 | Journal of Systems Science and Systems Engineering2014，23，2： | 0 |
| 2 | Intelligent Biomedical Electrocardiogram Signal Processing for Cardiovascular Disease Diagnosis显示文摘Automatic biomedical signal recognition is an important processfor several disease diagnoses. Particularly, Electrocardiogram (ECG) is commonly used to identify cardiovascular diseases. The professionals can determine the existence of cardiovascular diseases using the morphological patternsof the ECG signals. In order to raise the diagnostic accuracy and reduce thediagnostic time, automated computer aided diagnosis model is necessary. Withthe advancements of artificial intelligence (AI) techniques, large quantity ofbiomedical datasets can be easily examined for decision making. In this aspect,this paper presents an intelligent biomedical ECG signal processing (IBECGSP) technique for CVD diagnosis. The proposed IBECG-SP technique examines the ECG signals for decision making. In addition, gated recurrent unit(GRU) model is used for the feature extraction of the ECG signals. Moreover,earthworm optimization (EWO) algorithm is utilized to optimally tune thehyperparameters of the GRU model. Lastly, softmax classifier is employedto allot appropriate class labels to the applied ECG signals. For examiningthe enhanced outcomes of the proposed IBECG-SP technique, an extensivesimulation analysis take place on the PTB-XL database. The experimentalresults portrayed the supremacy of the IBECG-SP technique over the recentstate of art techniques. | R.Krishnaswamy B.Sivakumar B.Viswanathan Fahd N.Al-Wesabi Marwa Obayya Anwer Mustafa Hilal | 2022 | Computers, Materials & Continua2022，，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员