Vol. 3 No. 1 (2023): Australian Journal of Machine Learning Research & Applications

Cover

Published: 01-01-2023

Articles

Evolutionary Game Theory - Strategies and Applications: Exploring strategies and applications of evolutionary game theory for modelling and analysing the dynamics of competitive interactions and cooperation among agents

Dr. Amir Khan (Author)

1-11
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IoT-Enabled Remote Patient Monitoring Systems for Cardiac Health

Prof. Alejandro Ramirez (Author)

21-32
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IoT-Enabled Smart Medication Adherence Systems for Chronic Disease Management

Dr. John Smith (Author)

12-20
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Machine Learning-Based Predictive Analytics for Dental Practice Management

Prof. Wei Zhang (Author)

42-52
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Swarm Intelligence Optimization - Collective Behavior: Investigating collective behavior in swarm intelligence optimization techniques, including swarm robotics, firefly algorithms, and bacterial foraging optimization

Dr. Priya Patel (Author)

33-41
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A Comprehensive Decision Framework for Modern IT Infrastructure: Integrating Virtualization, Containerization, and Serverless Computing to Optimize Resource Utilization and Performance

Vishal Shahane (Author)

53-75
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Edge Intelligence for Autonomous Vehicles: Examining the use of edge intelligence to enable autonomous decision-making in vehicles

Dr. José Barreto (Author)

285-293
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Edge Computing for Smart Grids: Analyzing the role of edge computing in optimizing energy distribution in smart grid systems

Dr. Hatice Özbay (Author)

273-284
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Edge Computing for Industrial IoT: Investigating how edge computing can enhance productivity and efficiency in industrial settings

Dr. Soojin Kim (Author)

306-315
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Deep Learning Architectures - Advances and Applications: Analyzing recent advances and applications of deep learning architectures in various domains such as computer vision and NLP

Dr. Dimitrios Grammatopoulos (Author)

347-358
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Blockchain Integration in IoT Systems: Studying the integration of blockchain technology to enhance security and transparency in IoT

Dr. Mark Greenfield (Author)

294-305
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Big Data Analytics - Tools and Technologies: Studying tools and technologies for big data analytics, including distributed computing frameworks like Hadoop and Spark

Dr. Magdalena Kwiatkowska (Author)

336-345
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Bayesian Inference Methods - Applications in Data Science: Reviewing Bayesian inference methods and their applications in various data science tasks such as classification and regression

Dr. Eugene Ndego (Author)

326-334
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Anomaly Detection Techniques - Challenges and Solutions: Analyzing anomaly detection techniques for identifying unusual patterns or outliers in datasets and addressing challenges

Dr. Hirokazu Takahashi (Author)

316-325
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Shaping the Future of Education with Cloud and AI Technologies: Enhancing Personalized Learning and Securing Data Integrity in the Evolving EdTech Landscape

Hassan Rehan (Author)

359-395
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Advanced Data Science Techniques for Optimizing Machine Learning Models in Cloud-Based Data Warehousing Systems

Sareen Kumar Rachakatla, Prabu Ravichandran, Jeshwanth Reddy Machireddy (Author)

396-419
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Enhancing Vehicle-to-Everything (V2X) Communication with Real-Time Telematics Data Analytics: A Study on Safety and Efficiency Improvements in Smart Cities

Sharmila Ramasundaram Sudharsanam, Akila Selvaraj, Praveen Sivathapandi (Author)

461-507
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Real-Time Data Analytics in Connected Vehicles: Enhancing Telematics Systems for Autonomous Driving and Intelligent Transportation Systems

Rajalakshmi Soundarapandiyan, Deepak Venkatachalam, Akila Selvaraj (Author)

420-461
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AI Agents in DevOps: Implementing Autonomous Agents for Self-Healing Systems and Automated Deployment in Cloud Environments

Venkata Mohit Tamanampudi (Author)

507-556
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Autonomous AI Agents for Continuous Deployment Pipelines: Using Machine Learning for Automated Code Testing and Release Management in DevOps

Venkata Mohit Tamanampudi (Author)

557-600
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