Computational Intelligence
1. Factual power loss reduction by augmented monkey optimization algorithm

L. Kanagasabai

Volume 9, Issue 1 , Winter 2020, Pages 1-12

  This paper presents Augmented Monkey Optimization Algorithm (AMOA) applied to solve optimal reactive power problem. Communal behaviour of monkeys has been utilized to model the algorithm. Normally, group monkeys assess the distance from the source to food for foraging behaviour. Local leader renews its ...  Read More

Operations Research
2. Modified solution for neutrosophic linear programming problems with mixed constraints

S. K. Das; J. K. Dash

Volume 9, Issue 1 , Winter 2020, Pages 13-24

  Neutrosophic Linear Programming (NLP) issues is presently extensive applications in science and engineering. The primary commitment right now to manage the NLP problem where the coefficients are neutrosophic triangular numbers with blended requirements. The current method [20] are viewed as just imbalance ...  Read More

Computational modelling
3. Option pricing on sesame price using jump diffusion models

T. Berhane; M. Adam; G. Awgichew; E. Haile

Volume 9, Issue 1 , Winter 2020, Pages 25-45

  In this paper, we aim at developing a model for option pricing to reduce the risks associated with Ethiopian sesame price fluctuations. The White Humera Gondar Sesame Grade 3 (WHGS3) price, which is recorded from 5 November 2010 to 30 March 2018 at Ethiopia Commodity Exchange (ECX) market, is used to ...  Read More

Machine Learning
4. Comparative analysis on YOLO object detection with OpenCV

H. Deshpande; A. Singh; H. Herunde

Volume 9, Issue 1 , Winter 2020, Pages 46-64

  Computer Vision is a field of study that helps to develop techniques to identify images and displays. It has various features like image recognition, object detection and image creation, etc. Object detection is used for face detection, vehicle detection, web images, and safety systems. Its algorithms ...  Read More

Case studies in industry and services
5. An integrated QFD-TOPSIS method for prioritization of major lean tools: a case study

A. Devnath; Md. S. Islam; S. Rashid; E. Islam

Volume 9, Issue 1 , Winter 2020, Pages 65-76

  Selecting the right lean tool is one of the most challenging tasks for decision-makers. This research represents an integration of two methods, Quality Function Deployment (QFD) and TOPSIS, to evaluate and prioritize the lean tools. The aim of this research is to propose an integrated QFD-TOPSIS method ...  Read More

6. Six Sigma-DMAIC and food waste hierarchy-based framework for reducing food waste in University canteens in Ethiopia

A. Y. Ali

Volume 9, Issue 1 , Winter 2020, Pages 77-83

  The aim of this paper is to propose a Six Sigma-DMAIC and food waste hierarchy-based framework that can be successfully implemented by Ethiopian University canteen managers to reduce food waste in a sustainable way. The importance of this research is twofold. First, the Six Sigma-DMAIC methodology is ...  Read More

Machine Learning
7. Movie recommendation system using machine learning

F. Furtado; A. Singh

Volume 9, Issue 1 , Winter 2020, Pages 84-98

  Nowadays, the recommendation system has made finding the things easy that we need. Movie recommendation systems aim at helping movie enthusiasts by suggesting what movie to watch without having to go through the long process of choosing from a large set of movies which go up to thousands and millions ...  Read More