VARICOCELE AND SERVICE EFFICIENCY

1915 ◽  
Vol 2 (8) ◽  
pp. 189-189
Keyword(s):  
Service Efficiency

Decision-making for location of manufacturing bases in an uncertain demand situation

2021 ◽  
pp. 1-13
Author(s):  
Sun Jianzhu ◽  
Zhang Qingshan ◽  
Yu Yinyun
Keyword(s):  
Site Selection ◽  
Fuzzy Numbers ◽  
Uncertain Demand ◽  
Quick Response ◽  
Time Cost ◽  
Location Selection ◽  
Manufacturing Enterprises ◽  
Service Efficiency ◽  
Equipment Manufacturing ◽  
Smart Industry

Multi-site selection is a hot research issue for equipment manufacturing enterprises. With the development of smart industry, equipment manufacturing enterprises have entered the era of personalized and small batch manufacturing. Enterprises want to better meet customer needs and win competition, they must carry out scientific factory planning and site selection, so as to ensure quick response to the market. Based on this, this paper proposes a two-stage location selection model. Firstly, the method uses fuzzy numbers to express the demand size of demand points. Secondly, the distance factor is used as a criterion to select the candidate manufacturing bases with sufficient available resources. Next, the location model of enterprise manufacturing base is established which the goal of maximizing service efficiency and the constraints of time, cost and demand. Finally, a random numerical example is used to simulate the model, and lingo is used to solve it.

Economic Analysis for Health Service Efficiency.

1969 ◽  
Vol 14 (3) ◽  
pp. 484
Author(s):  
Robert B. Fetter ◽  
Martin S. Feldstein
Keyword(s):  
Health Service ◽  
Economic Analysis ◽  
Service Efficiency

Predicting Mobile Portability Across Telecommunication Networks Using the Integrated-KLR

2021 ◽  
Vol 17 (3) ◽  
pp. 50-62
Author(s):  
Ayodeji Samuel Makinde ◽  
Abayomi O. Agbeyangi ◽  
Wilson Nwankwo
Keyword(s):  
Logistic Regression ◽  
Telecommunication Networks ◽  
Mobile Service ◽  
Personal Choice ◽  
Kernel Logistic Regression ◽  
Service Efficiency ◽  
Number Portability ◽  
Prediction Techniques ◽  
The Cost ◽  
Potential Customers

Mobile number portability (MNP) across telecommunication networks entails the movement of a customer from one mobile service provider to another. This, often, is as a result of seeking better service delivery or personal choice. Churning prediction techniques seek to predict customers tending to churn and allow for improved customer sustenance campaigns and the cost therein through an improved service efficiency to customer. In this paper, MNP predicting model using integrated kernel logistic regression (integrated-KLR) is proposed. The Integrated-KLR is a combination of kernel logistic regression and expectation-maximization clustering which helps in proactively detecting potential customers before defection. The proposed approach was evaluated with five others, mostly used algorithms: SOM, MLP, Naïve Bayes, RF, J48. The proposed iKLR outperforms the other algorithms with ROC and PRC of 0.856 and 0.650, respectively.

scholarly journals Prediction of Sudden Health Crises Owing to Congestive Heart Failure with Deep Learning Models

2021 ◽  
Vol 35 (1) ◽  
pp. 71-76
Author(s):  
Shaik Shabbeer ◽  
Edara Srinivasa Reddy
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Missing Values ◽  
Medical Knowledge ◽  
Data Generation ◽  
Clinical Disorder ◽  
Proposed Model ◽  
Service Efficiency ◽  
Mlp Model ◽  
Mimic Iii

Artificial Intelligence (AI) has its roots in every area in the present scenario. Healthcare is one of the markets in which AI has greatly grown in recent years. The tremendous increase in health data generation and the substantial evolution of the robust data analysis tools have contributed to AI improvement in health care and research, leading to increased service efficiency. Health reporting is stored as Electronic Health Records (EHR), providing information on the patients sought temporarily. EHR data have different issues, such as heterogeneity, missing values, distortion, noise, time, etc. This study reflects the irregularity of appointment that refers to the irregular timing of the operations (patient visits). Congestive heart failure (CHF) is a grave clinical disorder caused by an insufficient blood supply in the bloodstream owing to a heart muscle dysfunction. Most people suffer from CHF which result in death or immediate recognition. A multi-layer perceptron (MLP) model was used to treat visit stage abnormalities. The studies on the Medical Knowledge Mart for Intensive Care-III (MIMIC-III) dataset and the findings obtained indicate that the lack of a visit stage affects the estimation of the clinical outcome. It has been demonstrated that the readmission and reduction of the prediction model for mortality conditions is beneficial. Compared with baseline models, the proposed model is successful.

scholarly journals The RAS Library for Natural Sciences ILL Service and collection development

2016 ◽  
pp. 12-18 ◽  
Author(s):  
Tatiana Kolerova
Keyword(s):  
Information Needs ◽  
Natural Sciences ◽  
Collection Development ◽  
Research Information ◽  
Interlibrary Loan ◽  
Library Collection ◽  
Service Efficiency

The activities of RAS LNS Interlibrary Loan Services are examined. Statistics of meeting research information needs of researchers in 2010-2014 by the Interlibrary Loan Services is introduced. Impact of the library collection content on the service efficiency is analyzed. Based on the statistical date acquired, the author argues that the Library`s ILL and EDD services are the promising vectors.

Sign in / Sign up

Export Citation Format

Share Document