Vol. 4 No. 2 (2023): Jul – Dec 2023

Published: 2023-07-01

Articles

Hybrid Active Learning Framework for Improved Detection of Blockchain Sandwich Attacks Using Automated Machine Learning and Mechanism Design Game Theory

Rong Wei , Zhenzhong Yu

1−9
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CRP Analysis Accelerated - Machine Learning in Paper Microfluidics

Luca Ferrari

1−6
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Enhancing Network Security: Machine Learning Approaches for Intrusion Detection

Karthik Pelluru
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Defending the Digital Realm: The Intersection of Cybersecurity and AI

Anton Sokolov
- PDF
Cloud Computing Revolution: Beyond Virtualization Scalability, Flexibility, and Efficiency in the Cloud Era

Javier Fernandez

1−5
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AI-Driven Adaptive Network Capacity Planning for Hybrid Cloud Architecture

Kapil Patil, Bhavin Desai
- PDF
Revolutionizing Pathology: The Role of AI in Automating Tissue Sample Analysis

Jorge Navarro
- PDF
Real-Time Detection of Adversarial Attacks in Deep Learning Models

Xiang Chen
- PDF
Learning and Planning with Hierarchical Reinforcement Learning Models

Gustavo Nunes
- PDF
Leveraging AI for Real-Time Big Data Analytics: Techniques, Challenges, and Future Directions

Priya Sharma
- PDF
Leveraging Artificial Intelligence for Credit Scoring and Loan Approval: Transforming Financial Services

Khaled Ahmed
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Leveraging Reinforcement Learning for Enhancing Autonomous Driving Systems

Andrea Ferrari
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Addressing Security Challenges in AI Systems with Large Language Models

Martha Gonzalez
- PDF
Large Language Models and AI Ethics: Addressing Bias and Fairness in Intelligent Systems

Luka Radoslav
- PDF
Security Enhancements in Cloud Networks Through AI and Large Language Models

Anja Kovačić
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The Environmental Impact of AI and Large Language Models: Sustainability Challenges

Nia N. Moyo
- PDF
Training Efficiency and Scalability in Large Language Models: Advances in AI Techniques

Dhruba Kumar
- PDF
Generative AI for Natural Language Processing and Understanding

Siddharth Kumar Singh
- PDF
AI-Driven Predictive Analytics for Early Disease Detection in Healthcare

Navya Krishna Alapati, Venkatakrishna Valleru
- PDF
Leveraging Large Language Models (LLMs) for Automated Key Point Extraction in Qualitative Data Analysis

Maria Rodriguez , Juan Carlos Martinez
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Vol. 4 No. 2 (2023): Jul – Dec 2023

Articles

Hybrid Active Learning Framework for Improved Detection of Blockchain Sandwich Attacks Using Automated Machine Learning and Mechanism Design Game Theory

CRP Analysis Accelerated - Machine Learning in Paper Microfluidics

Enhancing Network Security: Machine Learning Approaches for Intrusion Detection

Defending the Digital Realm: The Intersection of Cybersecurity and AI

Cloud Computing Revolution: Beyond Virtualization Scalability, Flexibility, and Efficiency in the Cloud Era

AI-Driven Adaptive Network Capacity Planning for Hybrid Cloud Architecture

Revolutionizing Pathology: The Role of AI in Automating Tissue Sample Analysis

Real-Time Detection of Adversarial Attacks in Deep Learning Models

Learning and Planning with Hierarchical Reinforcement Learning Models

Leveraging AI for Real-Time Big Data Analytics: Techniques, Challenges, and Future Directions

Leveraging Artificial Intelligence for Credit Scoring and Loan Approval: Transforming Financial Services

Leveraging Reinforcement Learning for Enhancing Autonomous Driving Systems

Addressing Security Challenges in AI Systems with Large Language Models

Large Language Models and AI Ethics: Addressing Bias and Fairness in Intelligent Systems

Security Enhancements in Cloud Networks Through AI and Large Language Models

The Environmental Impact of AI and Large Language Models: Sustainability Challenges

Training Efficiency and Scalability in Large Language Models: Advances in AI Techniques

Generative AI for Natural Language Processing and Understanding

AI-Driven Predictive Analytics for Early Disease Detection in Healthcare

Leveraging Large Language Models (LLMs) for Automated Key Point Extraction in Qualitative Data Analysis

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