Skip to main content
Skip to main navigation menu
Skip to site footer
Open Menu
Current
Archives
About
About the Journal
Submissions
Editorial Team
Privacy Statement
Contact
Search
Register
Login
Home
/
Archives
/
Vol. 3 No. 2 (2023): Australian Journal of Machine Learning Research & Applications
Vol. 3 No. 2 (2023): Australian Journal of Machine Learning Research & Applications
Published:
01-07-2023
Articles
Leveraging Artificial Intelligence for Enhanced Identity and Access Management within Zero Trust Security Architectures: A Focus on User Behavior Analytics and Adaptive Authentication
Mahammad Shaik, Leeladhar Gudala, Ashok Kumar Reddy Sadhu (Author)
1-31
PDF
Wireless Sensor Networks in Edge Computing: Exploring the integration of wireless sensor networks with edge computing architectures
Dr. Anna Wilson (Author)
222-230
PDF
Spiking Neural Networks - Models and Implementations: Exploring spiking neural network models and implementations for simulating biological neural networks and brain-inspired computing
Dr. Sebastian Panisello (Author)
292-303
PDF
Recurrent Neural Networks - Architectures and Applications: Analyzing architectures and applications of recurrent neural networks (RNNs) for modeling sequential data and time-series prediction
Dr. Ngozi Oluwafemi (Author)
239-249
PDF
Neuro symbolic Computing - Integration and Applications: Exploring approaches for integrating symbolic reasoning with neural networks to enable more interpretable and flexible AI systems
Dr. Marc Hansenne (Author)
251-259
PDF
Neural Network Optimization Techniques: Studying optimization techniques for training neural networks, including gradient-based methods and metaheuristic algorithms
Dr. Wei Xu (Author)
279-290
PDF
Graph Neural Networks - Models and Applications: Studying graph neural network models and applications for learning from graph-structured data such as social networks and molecules
Dr. Kin-Man Lam (Author)
231-238
PDF
Explainable AI in Neural Networks: Investigating techniques for explaining the decisions and behaviors of neural network models to improve transparency and trust
Dr. Siarhei Katsevich (Author)
260-268
PDF
Navigating The Labyrinth: A Comprehensive Review Of Emerging Artificial Intelligence Technologies, Ethical Considerations, And Global Governance Models In The Pursuit Of Trustworthy AI
Rajiv Avacharmal, Leeladhar Gudala, Srinivasan Venkataramanan (Author)
331-347
PDF
Optimizing Resource Allocation For Value-Based Care (VBC) Implementation: A Multifaceted Approach To Mitigate Staffing And Technological Impediments Towards Delivering High-Quality, Cost-Effective Healthcare
Saigurudatta Pamulaparthyvenkata (Author)
304-330
PDF
Time Series Analysis and Forecasting Methods: Analyzing time series analysis and forecasting methods for predicting future trends and patterns in sequential data
Dr. Javad Salehi (Author)
170-182
PDF
Text Mining and Natural Language Processing: Investigating text mining and natural language processing techniques for extracting insights from unstructured text data
Dr. Amal Boubekeur (Author)
158-170
PDF
Statistical Analysis Techniques for Data Science: Reviewing statistical analysis techniques commonly used in data science, such as hypothesis testing, ANOVA, and regression analysis
Dr. Yuliya Shylenok (Author)
181-190
PDF
Reinforcement Learning in Data Science: Studying reinforcement learning techniques applied in data science tasks such as recommendation systems and optimization
Dr. Yan Zhang (Author)
149-158
PDF
Machine Learning Algorithms for Predictive Modeling: Analyzing a wide range of machine learning algorithms for predictive modeling tasks, including regression and classification
Dr. Andrés Páez (Author)
190-198
PDF
Harnessing Machine Learning for Predictive Troubleshooting in Telecom Networks
Puneet Singh (Author)
348-380
PDF
Scalable Development and Deployment of LLMs in Manufacturing: Leveraging AI to Enhance Predictive Maintenance, Quality Control, and Process Automation
Mahadu Vinayak Kurkute, Gunaseelan Namperumal, Akila Selvaraj (Author)
381-430
PDF
Advancing Enterprise Architecture for Post-Merger Financial Systems Integration in Capital Markets laying the Foundation for Machine Learning Application
Jabin Geevarghese George (Author)
429-475
PDF
A Predictive AI-Driven Model for Impact of Demographic Factors in Demand Transfer for Retail Sustainability
Arun Rasika Karunakaran (Author)
476-515
PDF
The Economic Ripple Effect of AI-Powered Claims Processing in Healthcare: Transforming Costs and Productivity
Deepak Thota, Nina Popescu (Author)
516-536
PDF
Artificial Intelligence and Project Governance
Enhancing Compliance and Accountability Through Automated Monitoring
Sarah Thompson (Author)
518-523
PDF
Deep Learning for Protein Structure Prediction
Enhancing Drug Discovery and Development
Dr. Alice Johnson (Author)
524-530
PDF
Deep Learning Models for Real-Time Facial Recognition in Security Applications
Michael Rodriguez (Author)
531-538
PDF
Enhancing DevOps with Machine Learning and Computer Vision
Automating Code Reviews and Bug Detection through Visual Analysis
Emily Parker (Author)
539-545
PDF
Implementing Machine Learning for Visual Asset Tracking in Agile Project Management
Alice Thompson (Author)
546-554
PDF
Memory augmented Neural Networks: Analyzing memory augmented neural network architectures for incorporating external memory to enhance learning and reasoning
Dr. Jure Žužemič (Author)
269-278
PDF