Computational Intelligence
1. Weighted Deep Neural Network Ensemble Approach for Multi-Domain Sentiment Analysis

ramin mousa; Reza Shoukhcheshm; Elham Moradizadeh; Melika Hamian; Leila Safari; Ali Karke Abadi

Articles in Press, Accepted Manuscript, Available Online from 02 December 2021

http://dx.doi.org/10.22105/jarie.2021.288364.1332

Abstract
  The sentiment analysis is a subtask of text classification that is known as a domain dependent problem. In order to obtain an accurate classifier for a particular domain, a large labelled dataset is needed. To tackle the challenge of data scarcity in some domains, in the area of multi-domain problems, ...  Read More

Computational Intelligence
2. A survey on the techniques applied to the recognition and conversion of Indian sign language

Kaushal Kishore Rao Mangalore; Nikhitha Pradeep; Bhawesh Rajpal; Nitin Prasad; Ravi Shastri

Volume 8, Issue 4 , December 2021, , Pages 399-411

http://dx.doi.org/10.22105/jarie.2020.259290.1214

Abstract
  The move to standardize Indian Sign Language has created an opportunity for researchers to focus on solving local problems, to increase its reach. In this paper, a survey and assessment of the techniques applied to the recognition and conversion of Indian Sign Language are performed. An overview of the ...  Read More

Computational Intelligence
3. A short survey on face recognition

Vishakha Arora; Afnas T

Volume 8, Issue 2 , June 2021, , Pages 169-175

http://dx.doi.org/10.22105/jarie.2021.266255.1239

Abstract
  Face Recognition has received a great deal of attention over the past few years and has become one of the most researched and spoken topics. It is a kind of automated biometric distinguishing approach that recognizes an individual based on their facial characteristics. The main aim of face reorganization ...  Read More

Computational Intelligence
4. Steering assisting with path detection and car detection

Divya Aggarwal; Baishali Singh; K. Shweta Ranjan

Volume 8, Issue 1 , March 2021, , Pages 19-26

http://dx.doi.org/10.22105/jarie.2021.266151.1236

Abstract
  The recognition of pathways and identification of cars was seen with a prospective camera, which recognizes trajectories and predicts control points. The aim is to propose the location of the path. In this paper, lane detection algorithm Steering Assistance System (SAS) is introduced. Guiding helps to ...  Read More

Computational Intelligence
5. A modified technique for recognizing facial expression

Bhawesh Rajpal; Nitin Prasad; Kaushal Kishore Rao Mangalore; Nikhitha Pradeep; Ravi Shastri

Volume 7, Issue 4 , December 2020, , Pages 424-434

http://dx.doi.org/10.22105/jarie.2020.259293.1216

Abstract
  This paper consists of analysis of an algorithm dealing with facial expressions recognition. The algorithm has three major steps, initially image is processed, then the facial features are extracted and finally facial expression is recognized. In the initial processing stage the facial region is identified ...  Read More

Computational Intelligence
6. Active power loss diminution by Greenland wolf optimization algorithm

Lenin Kanagasabai

Volume 7, Issue 2 , June 2020, , Pages 154-162

http://dx.doi.org/10.22105/jarie.2020.229824.1162

Abstract
  In this work, Greenland Wolf Optimization (GW) algorithm has been applied for real power loss reduction. Natural actions of the Greenland wolf have been mimicked to design the GW algorithm. Greenland wolf found in North West of green land and typical size of the pack is three. Arctic hares, musk oxen, ...  Read More

Computational Intelligence
7. Improving demand forecasting with LSTM by taking into account the seasonality of data

Hossein Abbasimehr; Mohammad Khodizadeh Nahari

Volume 7, Issue 2 , June 2020, , Pages 177-189

http://dx.doi.org/10.22105/jarie.2020.232594.1168

Abstract
  Demand forecasting is a vital task for firms to manage the optimum quantity of raw material and products. The demand forecasting task can be formulated as a time series forecasting problem by measuring historical demand data at equal intervals. Demand time series usually exhibit a seasonal pattern. The ...  Read More

Computational Intelligence
8. Evolutionary algorithm for multi-objective multi-index transportation problem under fuzziness

Mohammed A. El-Shorbagy; Abd Allah A. Mousa; Hanaa ALoraby; Taghreed Abo-Kila

Volume 7, Issue 1 , March 2020, , Pages 36-56

http://dx.doi.org/10.22105/jarie.2020.214142.1119

Abstract
  An Improved Genetic Algorithm (I-GA) for solving multi-objective Fuzzy Multi–Index Multi-objective Transportation Problem (FM-MOTP) is presented. Firstly, we introduce a new structure for the individual to be able to represent all possible feasible solutions. In addition, in order to keep the feasibility ...  Read More