Machine Learning and Applications: An International Journal (MLAIJ)

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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 : February 11, 2023
  • Authors Notification : March 11, 2023
  • Final Manuscript Due : March 18, 2023
  • Publication Date : Determined by the Editor-in-Chief

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

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4th International Conference on Natural Language Processing, Information Retrieval and AI (NIAI 2023)

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February 18 ~ 19, 2023, Dubai, UAE

https://ccseit2023.org/niai/index

Scope

4th International Conference on Natural Language Processing, Information Retrieval and AI (NIAI 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing, Information Retrieval and AI.The Conference looks for significant contributions to all major fields of the Natural Language processing and machine learning in theoretical and practical aspects.

Topics of interest include, but are not limited to, the following

  • Artificial Intelligence
  • Artificial Intelligence, Deep Learning, Machine Learning for NLP
  • Big Data and Data Mining
  • Information Retrieval
  • Machine Translation, Crosslingual and Multilingual applications
  • Natural Language Processing
  • Social Media and Social Network Analysis
  • Spoken Language Processing Speech Generation and Recognition

Paper Submission

Authors are invited to submit papers through the conference Submission System by September 10, 2022. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from SAI 2023, after further revisions, will be published in the special issue of the following journal.

Important Dates

  • Submission Deadline : September 10, 2022
  •  Authors Notification: November 27, 2022
  • Registration & camera – Ready Paper Due: December 29, 2022

Contact Us

Here’s where you can reach us : niai@ccseit2023.org or niaiconf@yahoo.com

12th International Conference on Mobile & Wireless Networks (MoWiN 2023)

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February 18 ~ 19, 2023, Dubai, UAE

https://ccseit2023.org/mowin/index

23)

February 18 ~ 19, 2023, Dubai, UAE

https://ccseit2023.org/mowin/index

SCOPE

12th International Conference on Mobile & Wireless Networks (MoWiN 2023) is dedicated to address the challenges in the areas of wireless & mobile networks. The conference looks for significant contributions to the Wireless & Mobile computing in theoretical and practical aspects. The Wireless & Mobile computing domain emerges from the integration among personal computing, networks, communication technologies, cellular technology and the Internet Technology. The modern applications are emerging in the area of mobile ad hoc networks and sensor networks. This conference is intended to cover contributions in both the design and analysis in the context of mobile, wireless, ad-hoc and sensor networks. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on advanced wireless & Mobile computing concepts and establishing new collaborations in these areas.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

TOPICS OF INTEREST

  • Architectures, Protocols, and Algorithms to Cope with Mobile & Wireless Networks
  • Distributed Algorithms of Mobile Computing
  • OS and Middleware Support for Mobile Computing and Networking
  • Routing, Communication Primitives in Ad hoc and Sensor Networks
  • Data Management and Databases for Mobile Environments
  • Synchronization and Scheduling Issues in Mobile and Ad hoc Networks
  • Resource Management in Mobile, Wireless and Ad-hoc Networks
  • Network Management on Mobile and Wireless Computing
  • Integration of Wired and Wireless Networks
  • Broadband Access Networks
  • Energy Saving Protocols for Ad hoc and Sensor Networks
  • Complexity Analysis of Algorithms for Mobile Environments
  • Information Access in Wireless Networks
  • Algorithms and Modeling for Tracking and Locating Mobile Users
  • Satellite Communications
  • Cryptography, Security and Privacy of Mobile & Wireless Networks
  • Performance of Mobile and Wireless Networks and Systems
  • Mobile Ad hoc and Sensor Networks
  • Wireless Multimedia Systems
  • Service Creation and Management Environments for Mobile/Wireless Systems
  • Security, Scalability and Reliability Issues
  • Mobile Internetworking
  • Intelligent Network Signaling
  • Mobile VoIP
  • Mobile Ad hoc and Sensor Networks
  • Power Management and Control Algorithms
  • User Interfaces and Systems Design
  • Nomadic Computing
  • Wearable Computing and Networking
  • Recent Trends in Mobile and Wireless Applications
Paper Submission

Authors are invited to submit papers through the conference Submission System by September 10, 2022. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from MoWiN 2023, after further revisions, will be published in the special issues of the following journals.

IMPORTANT DATES

  • Submission Deadline : September 10, 2022
  • Authors Notification : November 27, 2022
  • Registration & Camera-Ready Paper Due : December 08, 2022

Contact Us

Here’s where you can reach us : mowin@ccseit2023.org or mowinconf@yahoo.com

16th International Conference on Network Security & Applications (CNSA 2023)

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February 18 ~ 19, 2023, Dubai, UAE

https://ccseit2023.org/cnsa/index

Scope

16th International Conference on Network Security & Applications (CNSA 2023) focuses on all technical and practical aspects of security and its applications for wired and wireless networks. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern security threats and counter measures and establishing new collaborations in these areas.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Security & its applications.

Topics of Interest

  • Attacks on Virtualized Systems
  • Blockchain Technology and Cyber Security
  • Cloud Security
  • Cognitive Security
  • Cryptographic Protocols
  • Cyber Physical System (CPS) security
  • Database and System Security
  • Data Center Network Control, Security and Optimization
  • Designing a Security Policy
  • E-mail Security, Spam, Phishing, E-mail fraud
  • Hardware-Based Attacks
  • Internet of Things (IoT) Security
  • Internet Security, Applications Security & Network Management
  • Intrusion Detection and Prevention
  • Network and Wireless Network Security
  • Peer-to-Peer Network Security
  • Performance Evaluations of Protocols & Security Applications
  • Security in Fog / edge Computing
  • Security of Virtual Machines
  • Security threats & Countermeasures (DDoS, MiM, Session Hijacking, Replay attack, Phishing, Scams etc,)
  • Security, trust and privacy challenges
  • Smart City Security
  • Smart Grid security
  • Ubiquitous Computing Security
  • Virus, Worms, Trojan Protection
  • Web 2.0 security

Paper Submission

Authors are invited to submit papers through the conference Submission System by September 10, 2022. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from CNSA 2023, after further revisions, will be published in the special issue of the following journals

International Journal of Computer Networks & Communications (IJCNC)– ERA Indexed, Scopus Indexed, WJCI Indexed

International Journal of Network Security & Its Applications (IJNSA) – ERA Indexed, WJCI Indexed

International Journal on Cryptography and Information Security (IJCIS)

International Journal of Security, Privacy and Trust Management (IJSPTM)

Information Technology in Industry (ITII)

Important Dates

  • Submission Deadline : September 10, 2022
  • Authors Notification : November 27, 2022
  • Registration & Camera-Ready Paper Due : December 08, 2022

Contact Us

Here’s where you can reach us : cnsa@ccseit2023.org or cnsaconference@yahoo.com

Current isuue

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September 2022, Volume 9, Number 3

Ai_Birder: Using Artificial Intelligence and Deep Learning to Create a Mobile Application that Automates Bird Classification
Charles Tian1 and Yu Sun2, 1USA, 2California State Polytechnic University, USA

June 2022, Volume 9, Number 2

DSAGLSTM-DTA: Prediction of Drug-Target Affinity using Dual Self-Attention and LSTM
Lyu Zhijian, Jiang Shaohua and Tan Yonghao, Hunan Normal University, China

Multilingual Speech to Text using Deep Learning based on MFCC Features

P Deepak Reddy, Chirag Rudresh and Adithya A S, PES University, India

March 2022, Volume 9, Number 1

Exoplanets Identification and Clustering with Machine Learning Methods
Yucheng Jin, Lanyi Yang, Chia-En Chiang, University of California-Berkeley, USA

December 2021, Volume 8, Number 4

A Comprehensive Study on Occlusion Invariant Face Recognition under Face Mask Occlusions
Susith Hemathilaka1 and Achala Aponso2, 1University of Westminster, United Kingdom, 2Informatics Institute of Technology, Sri Lanka

A Survey of Neural Network Hardware Accelerators in Machine Learning
Fatimah Jasem and Manar AlSaraf, Kuwait University, Kuwait

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. Sweilam1, 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 Bulbul2*, 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