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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
Elevating Microservice Design: Implementing Best-in-Class Practices for Achieving Scalability, Resilience, Performance Optimization, and Maintainability in Distributed Systems
299
Comprehensive Approaches to Risk Management and Fraud Detection in Algorithmic Trading: Analyzing the Efficacy of Predictive Models and Real-Time Monitoring Systems
64
Big Data and Predictive Analytics for Optimized Supply Chain Management and Logistics
61
Adopting Generative AI in Digital Marketing Campaigns: An Empirical Study of Drivers and Barriers
54
FDA Adverse Event Reporting System (FAERS) Database: A Comprehensive Analysis of Its Structure, Functionality, and Limitations
51