ETL specialist normalizes market data for real-time trading insights

Shreyansh Sharma built high-performance financial data pipelines, improving accuracy, speed, scalability, and reliability for ...
IEEE

Re-Thinking the Effectiveness of Batch Normalization and Beyond

Batch normalization (BN) is used by default in many modern deep neural networks due to its effectiveness in accelerating training convergence and boosting inference performance. Recent studies suggest ...
GitHub

Visual relational database designer with a 3D holographic interface.

Visual holographic database designer for Windows. Design, document and export relational database schemas in a 3D sphere interface with a cyberpunk aesthetic. Supports SQL Server, MySQL and PostgreSQL ...
IEEE

Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms

Abstract: Real-world multiobjective optimization problems (MOPs) usually have conflicting and differently scaled objectives. To deal with such problems, objective space normalization is widely used in ...