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Vol. 4 No. 1 (2021): Sage Science Review of Applied Machine Learning-2021
Vol. 4 No. 1 (2021): Sage Science Review of Applied Machine Learning-2021
Published:
2021-03-31
Articles
The Drivers and Barriers of Adoption of People Analytics: A Review and Empirical Investigation
Sandeepkumar Racherla
1-11
PDF
Anomaly Detection in Network Intrusion Detection Systems Using Machine Learning and Dimensionality Reduction
Olaolu Kayode-Ajala
12-26
PDF
The Impacts of User Experience Metrics on Click-Through Rate (CTR) in Digital Advertising: A Machine Learning Approach
Akshay Shah, Siddhesh Nasnodkar
27-44
PDF
Deep Learning-Based Prediction of CPU and Memory Consumption for Cost-Efficient Cloud Resource Allocation
Raghava Satya SaiKrishna Dittakavi
45-58
PDF
Advanced Triple-Regression Algorithm for Customized Long-Term Forecasting
Xiaoyu Wu, Zeyu Bai, Jianguo Jia, Youzhi Liang
59-65
PDF
Advanced Design Frameworks for Modern, Scalable Applications: Strategic Approaches to Building High-Performance, Resilient, and Modular Architectures in Distributed Systems
Sara Moreno
66-95
PDF
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Block title
Adopting Generative AI in Digital Marketing Campaigns: An Empirical Study of Drivers and Barriers
1039
The Role of Machine Learning in Network Anomaly Detection for Cybersecurity
536
The Impacts of User Experience Metrics on Click-Through Rate (CTR) in Digital Advertising: A Machine Learning Approach
455
Compare and contrast various software development methodologies, such as Agile, Scrum, and DevOps, discussing their advantages, challenges, and best practices
349
Applications of Natural Language Processing in Customer Satisfaction in Telecommunication Industry
195