Recent Financial Reforms: A Case Study on Developing and Deploying an Income Prediction Model for a Personal Loan Portfolio

Mapping Intimacies ◽

10.1201/9781003083870-16 ◽

2021 ◽

pp. 309-322

Author(s):

Gaurav Nagpal ◽

Ankita Dhamija ◽

Divyansh Gupta

Keyword(s):

Prediction Model ◽

Loan Portfolio ◽

Financial Reforms

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A Case Study on the Development of Life Insurance Prediction Model Analysis Environment Applying Open-Source Bigdata Technology

Productivity Review ◽

10.15843/kpapr.32.1.2018.03.173 ◽

2018 ◽

Vol 32 (1) ◽

pp. 173-207

Author(s):

Sung Hyun Kim ◽

◽

Jiwon Chun ◽

Miyoung Lee

Keyword(s):

Prediction Model ◽

Open Source ◽

Life Insurance ◽

Model Analysis ◽

Analysis Environment

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Data partition and hidden neuron value formulation combination in neural network prediction model: Case study: Non-tax revenue prediction for Indonesian government unit

2018 International Conference on Information and Communications Technology (ICOIACT) ◽

10.1109/icoiact.2018.8350819 ◽

2018 ◽

Author(s):

Fadly Anshori Lubis ◽

Albarda

Keyword(s):

Neural Network ◽

Prediction Model ◽

Tax Revenue ◽

Data Partition ◽

Indonesian Government ◽

Neural Network Prediction ◽

Network Prediction

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Enhancing reliability of thermal power plant by implementing RCM policy and developing reliability prediction model: a case study

International Journal of Systems Assurance Engineering and Management ◽

10.1007/s13198-016-0542-z ◽

2016 ◽

Vol 8 (S2) ◽

pp. 1923-1936 ◽

Author(s):

Navneet Singh Bhangu ◽

G. L. Pahuja ◽

Rupinder Singh

Keyword(s):

Power Plant ◽

Prediction Model ◽

Thermal Power Plant ◽

Thermal Power ◽

Reliability Prediction

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Flood Disaster Prediction Model Based on Artificial Neural Network: A Case Study of Kuala Kangsar, Perak

Improving Flood Management, Prediction and Monitoring - Community, Environment and Disaster Risk Management ◽

10.1108/s2040-726220180000020018 ◽

2018 ◽

pp. 103-112 ◽

Author(s):

Nurul Syarafina Shahrir ◽

Norulhusna Ahmad ◽

Robiah Ahmad ◽

Rudzidatul Akmam Dziyauddin

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Prediction Model ◽

Flood Disaster ◽

Model Based ◽

Artificial Neural ◽

Disaster Prediction

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Estimating an Injury Crash Rate Prediction Model based on severity levels evaluation: the case study of single-vehicle run-off-road crashes on rural context

Transportation Research Procedia ◽

10.1016/j.trpro.2017.12.159 ◽

2017 ◽

Vol 27 ◽

pp. 1088-1096 ◽

Author(s):

Francesca Russo ◽

Roberta Di Pace ◽

Gianluca Dell’Acqua ◽

Stefano de Luca

Keyword(s):

Prediction Model ◽

Road Crashes ◽

Rate Prediction ◽

Model Based ◽

Run Off ◽

Single Vehicle ◽

Severity Levels ◽

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The Probability Prediction Model of Motorcyclist Accident Against IRSMS and AIS from the Police Department, East Java (A Case Study in Kediri Regency and Surabaya City)

Proceedings of the 2nd International Symposium on Transportation Studies in Developing Countries (ISTSDC 2019) ◽

10.2991/aer.k.200220.028 ◽

2020 ◽

Author(s):

Muhammad Zainul Arifin ◽

Achmad Wicaksono

Keyword(s):

Prediction Model ◽

Police Department ◽

Probability Prediction

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Deep Learning-Based Minute-Scale Digital Prediction Model of Temperature-Induced Deflection of a Cable-Stayed Bridge: Case Study

Journal of Bridge Engineering ◽

10.1061/(asce)be.1943-5592.0001716 ◽

2021 ◽

Vol 26 (6) ◽

pp. 05021004

Author(s):

Zi-xiang Yue ◽

You-liang Ding ◽

Han-wei Zhao

Keyword(s):

Deep Learning ◽

Prediction Model ◽

Cable Stayed Bridge

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A Case Study of Mifos Implementation at Asomi

Advanced Technologies for Microfinance - Advances in Finance, Accounting, and Economics ◽

10.4018/978-1-61520-993-4.ch005 ◽

2010 ◽

pp. 72-91 ◽

Author(s):

Puspadhar Das

Keyword(s):

Open Source ◽

The State ◽

Point Of View ◽

The Other ◽

Loan Portfolio ◽

Operational Strategies ◽

Microfinance Institution

Mifos is an open source enterprise solution for microfinance. This chapter is a practitioner’s point of view on implementation of Mifos in an organization, based on the author’s experience in implementing Mifos at Asomi, a microfinance institution operating in the state of Assam, India. The factors to be considered in selection and implementation of Mifos are discussed. Various inputs, analyses and resources required for implementation are discussed. Any organization must have a concrete set of operational strategies that enables it to track its borrowers and loan portfolio effectively and on time in order to succeed. Wrong assumptions and choice of wrong technology may only aggravate MIS implementation. Development of technology has removed all the barriers to technologies and has enabled organizations to develop computerised systems streamlined to their operational needs and not the other way round. It is attempted to justify this by using the case of Mifos.

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Spatial air quality index prediction model based on decomposition, adaptive boosting, and three-stage feature selection: A case study in China

Journal of Cleaner Production ◽

10.1016/j.jclepro.2020.121777 ◽

2020 ◽

Vol 265 ◽

pp. 121777 ◽

Author(s):

Hui Liu ◽

Chao Chen

Keyword(s):

Feature Selection ◽

Air Quality ◽

Prediction Model ◽

Quality Index ◽

Air Quality Index ◽

Adaptive Boosting ◽

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Integration of Permeability Derived From Well Pressure Transient Analysis To Improve Prediction Model Permeability In High Heterogeneous Carbonates Reservoir - Case Study-offshore Abu Dhabi, UAE.

10.2118/166016-ms ◽

2013 ◽

Author(s):

Hocine Khemissa ◽

Alexander Lesage ◽

Fazeel Ahmad ◽

Elyes Draoui ◽

Shinichi Nakamura ◽

...

Keyword(s):

Prediction Model ◽

Transient Analysis ◽

Abu Dhabi ◽

Pressure Transient Analysis ◽

Pressure Transient ◽

Improve Prediction Model

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