Machine Learning and Applications: An International Journal (MLAIJ)

ISSN: 2394 – 0840

http://airccse.org/journal/mlaij/index.html

Call For Papers

Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high-quality papers on theoretical and practical aspects of machine learning and applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of machine learning.

Topics of interest include but are not limited to the following: ·

• Applications
• Learning in knowledge-intensive systems
• Learning Methods and analysis
• Learning Problems

Paper Submission

Authors are invited to submit papers for this journal through E-mail: mlaijjournal@yahoo.com  Or  mlaijjournal@airccse.org. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates             

• Submission Deadline : October 23, 2021
  
• Notification : November 23, 2021
• Final Manuscript Due : December 01, 2021
• Publication Date : Determined by the Editor-in-Chief

For other details please visit http://airccse.org/journal/mlaij/index.html

current isuue

September 2021, Volume 8, Number 2/3

A Development Framework for a Conversational Agent to Explore Machine Learning Concepts
Ayse Kok Arslan, Oxford Alumni of Northern California, USA

An Enhancement for the Consistent Depth Estimation of Monocular Videos using Lightweight Network
Mohamed N. Sweilam^{1, 2}, and Nikolay Tolstokulakov², ¹Suez University, Egypt, ²Novosibirsk State University, Russia

Catwalkgrader: A Catwalk Analysis and Correction System using Machine Learning and Computer Vision
Tianjiao Dong¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA

Hybridization of DBN with SVM and its Impact on Performance in Multi-Document Summarization
Karari Kinyanjui, Malanga Ndenga and H.O Nyongesa, Dedan Kimathi University of Technology, Kenya

March 2021, Volume 8, Number 1

Artificial Intelligence Models for Crime Prediction in Urban Spaces

Ana Laura Lira Cortes¹ and Carlos Fuentes Silva², ¹Universidad Autónoma de Querétaro, México, ²Universidad Politécnica de Querétaro, México

Analysis of Covid-19 in the United States using Machine Learning

James G. Koomson, Marymount University, USA

June 2020, Volume 7, Number 1/2

Quantum Criticism: an Analysis of Political News Reporting

Ashwini Badgujar, Sheng Chen, Pezanne Khambatta, Tuethu Tran, Andrew Wang, Kai Yu, Paul Intrevado and David Guy Brizan, University of San Francisco, USA

September 2019, Volume 6, Number 2/3

Human Activity Recognition Using Recurrent Neural Network

Yoshihiro Ando

March 2019, Volume 6, Number 1

Predicting Forced Population Displacement Using News Articles 
Sadra Abrishamkar and Forouq Khonsari, York University, Canada

Fault Diagnosis Using Clustering. What Statistical Test to use for Hypothesis Testing? 
Nagdev Amruthnath and Tarun Gupta, Western Michigan University, USA

Analysis of WTTE-RNN Variants that Improve Performance 
Rory Cawley and John Burns, Institute of Technology Tallaght, Ireland

December 2018, Volume 5, Number 4

Study on Cerebral Aneurysms: Rupture Risk Prediction Using Geometrical Parameters and Wall Shear Stress With CFD and Machine Learning Tools

Alfredo Aranda and Alvaro Valencia, Universidad de Chile, Chile

June 2018, Volume 5, Number 1/2

A Comparative Study on Human Action Recognition Using Multiple Skeletal Features and Multiclass Support Vector Machine 

Saiful Islam¹, Mohammad Farhad Bulbul^2*, Md. Sirajul Islam², ¹Jessore University of Science and Technology,
Bangladesh and ²Bangabandhu Sheikh Mujibur Rahman Science and Technology University, India

December 2017, Volume 4, Number 4

Reinforcement Learning : MDP Applied to Autonomous Navigation  
Mark A. Mueller, Georgia Institute of Technology, USA

September 2017, Volume 4, Number 1/2/3

Enhancing Customer Retention Through Data Mining Techniques  
Alexiei Dingli, Vincent Marmara and Nicole Sant Fournier, University of Malta, Malta

Financial Time Series Forecasting – A Machine Learning Approach  
Alexiei Dingli and Karl Sant Fournier, University of Malta, Malta

December 2016, Volume 3, Number4

Model Based Technique for Vehicle Tracking in Traffic Video Using Spatial Local Features  
Arun Kumar H. D and Prabhakar C. J, Kuvempu University, India

September 2016, Volume 3, Number3

Image Based Recognition – Recent Challenges and Solutions Illustrated on Applications 
Daniel Garten¹, Katharina Anding² and Steffen Lerm², ¹Society for Production Engineering and Development, Germany
and ²Ilmenau University of Technology, Germany

Evaluation of a New Incremental Classification Tree Algorithm for Mining High Speed Data Streams   N. Sivakumar1 and S. Anbu2, 1St. Peter’s University, India and 2St. Peter’s College of Engineering and Technology, India

Machine Learning Toolbox  Pankaj Agarwal, Akshay Bhasin, Rohit Keshwani, Aman Verma and Suryansh Kaushik, IMS Engineering College, India

June 2016, Volume 3, Number 2

An Ensemble of Filters and Wrappers for Microarray Data Classification  Mohamad Morovvat and Alireza Osareh, Shahid Chamran University of Ahvaz, Iran

A Multi-Level Security for Preventing DDOS Attacks in Cloud Environments  Subramaniam.T. K and Deepa B, Nandha Engineering College, India

Machine Learning Based Approaches for Prediction of Parkinson’s Disease   Arvind Kumar Tiwari, GGS College of Modern Technology, India

An New Attractive Mage Technique Using L-Diversity  Anandhi G1 and K.Saravanan2, 1GSSS Institute of Engineering & Technology for Women, India and 2Erode Sengunthar Engineering College, India

Opposition Based Firefly Algorithm Optimized Feature Subset Selection Approach for Fetal Risk Anticipation V. Subha and D. Murugan, Manonmaniam Sundaranar University, India

Analysis of Opinionated Text for Opinion Mining   K Paramesha1 and K C Ravishankar2, 1Vidyavardhaka College of Engineering, India and 2Government Engineering College – Hassan, India

March  2016, Volume 3, Number 1

Developing Prediction Model of Loan Risk in Banks Using Data Mining   Aboobyda Jafar Hamid and Tarig Mohammed Ahmed, University Khartoum, Sudan

A Conceptual Framework on Futuristic Studies   Sushma Rani Senior Research Fellow, Banasthali University, India

A Survey on Similarity Measures in Text Mining   M.K.Vijaymeena and K.Kavitha, Nandha Engineering College, India

December 2015, Volume 2, Number 3/4

Machine Learning Based Approaches for Cancer Classification Using Gene Expression Data Amit Bhola1 and Arvind Kumar Tiwari2, 1Kashi Institute of Technology, India and 2IIT (B.H.U.), IndiaCartoon Based Image Retrieval : An Indexing Approach   Suman Muralidhar and Sharath Kumar Y H, Maharaja Institute of Technology, IndiaClassification of Machine Translation Outputs Using NB Classifier and SVM for Post-Editing Kuldeep Kumar Yogi, Chandra Kumar Jha and Shivangi Dixit, Banasthali University, IndiaClassification of Enzymes Using Machine Learning Based Approaches: A Review Sanjeev Kumar Yadav1 and Arvind Kumar Tiwari2, 1KIT, India and 2IIT (BHU), India

June 2015, Volume 2, Number 2

Feature Selection and Classification Approach for Sentiment Analysis Gautami Tripathi and Naganna S, Galgotias University, India

March 2015, Volume 2, Number 1

Using Machine Learning Algorithms to Analyze Crime Data Lawrence McClendon and Natarajan Meghanathan, Jackson State University, USA