The Prediction Model of Egg Duck Outdoor Culture Environment Based on Parallel

2019 ◽  
Vol 08 (03) ◽  
pp. 495-502
Author(s):  
亮 曹
Keyword(s):  
Prediction Model ◽  
Outdoor Culture ◽  
Culture Environment

1575: External Validation of Outcome Prediction Model for Ureteral/Renal Calculi

2005 ◽  
Vol 173 (4S) ◽  
pp. 427-427
Author(s):  
Sijo J. Parekattil ◽  
Udaya Kumar ◽  
Nicholas J. Hegarty ◽  
Clay Williams ◽  
Tara Allen ◽  
...  
Keyword(s):  
Prediction Model ◽  
Outcome Prediction ◽  
External Validation ◽  
Renal Calculi

Development of a headlamp dimming request prediction model

1975 ◽  
Author(s):  
Vivek D. Bhise ◽  
Thomas F. Swigart ◽  
Eugene I. Farber
Keyword(s):  
Prediction Model

Short-Version YLS-CMI: An Alternative Prediction Model for Juvenile Offenders at Intake

2009 ◽  
Author(s):  
Christina Campbell ◽  
Eyitayo Onifade ◽  
William Davidson ◽  
Jodie Petersen
Keyword(s):  
Juvenile Offenders ◽  
Prediction Model ◽  
Short Version

Career Choice Prediction--Model

2019 ◽  
Author(s):  
Zool Hilmi Mohamed Ashari ◽  
Norzaini Azman ◽  
Mohamad Sattar Rasul
Keyword(s):  
Prediction Model ◽  
Career Choice

Speed Prediction Model of Trucks on Gradient Sections Considering Vertical Curve

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Qianqian Liang ◽  
Xiaodong Zhang ◽  
Jinliang Xu ◽  
Yang Zhang
Keyword(s):  
Prediction Model ◽  
Speed Prediction

Implementasi nilai-nilai Etika, Moral dan Akhlak dalam perilaku belajar di STIT Raden Wijaya Mojokerto

2018 ◽  
Vol 1 (2) ◽  
pp. 71
Author(s):  
Aan Eko Khusni Ubaidillah
Keyword(s):  
Field Research ◽  
Qualitative Approach ◽  
Learning Behavior ◽  
The West ◽  
Internal Factors ◽  
Inhibiting Factors ◽  
Analysis Technique ◽  
Western Values ◽  
Culture Environment ◽  
Research Type

The problems we face today live in a time of moral degradation and destruction. People feel proud if they can imitate the trend carried by the West; both in thought and lifestyle. Ironically, not a few generations of Muslims who terpedaya with the trend. They make Western values ​​as their standard of behavior and morals. Meanwhile, Islamic morality is increasingly felt strange and difficult to practice in the midst of society facing such problems plural and complex. The purpose of this study are: 1) To describe the steps Implementation of values ​​of Ethics, Moral and Morals in learning behavior in STIT Raden Wijaya Mojokerto. 2) To describe the supporting and inhibiting factors Implementation of Ethics, Morals and Morals values ​​in the behavior of learning in STIT Raden Wijaya Mojokerto This research type is field research research using qualitative approach. Data collection techniques include observation, interview, and documentation. Data analysis technique uses descriptive explorative, that is by describing state and phenomenon status. Based on the exposure of the analysis of data sources can be concluded that: 1) Steps Implementation of values ​​of Ethics, Morals and Morals in the behavior of learning in STIT Raden Wijaya Mojokerto is the first institution to make a mature planning, then applied with the pattern pembiasaan. 2) To describe the supporting and inhibiting factors Implementation of Ethics, Morals and Morals values ​​in learning behavior in STIT Raden Wijaya Mojokerto consists of internal factors (consisting of heredity, gender, physical character, personality, intelligence and talent) and external ( consisting of education, religion, culture, environment and socio-economic)

Stock Market Prediction using Data Mining Techniques

2020 ◽  
pp. 310-313
Author(s):  
Karunesh Makker ◽  
Prince Patel ◽  
Hrishikesh Roy ◽  
Sonali Borse
Keyword(s):  
Neural Network ◽  
Stock Market ◽  
Prediction Model ◽  
Efficient Market Hypothesis ◽  
Deterministic System ◽  
Vast Number ◽  
Factors Influencing ◽  
Number Of Factors ◽  
Using Data ◽  
Robust Prediction

Stock market is a very volatile in-deterministic system with vast number of factors influencing the direction of trend on varying scales and multiple layers. Efficient Market Hypothesis (EMH) states that the market is unbeatable. This makes predicting the uptrend or downtrend a very challenging task. This research aims to combine multiple existing techniques into a much more robust prediction model which can handle various scenarios in which investment can be beneficial. Existing techniques like sentiment analysis or neural network techniques can be too narrow in their approach and can lead to erroneous outcomes for varying scenarios. By combing both techniques, this prediction model can provide more accurate and flexible recommendations. Embedding Technical indicators will guide the investor to minimize the risk and reap better returns.

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