Check syllabus and exam pattern. Learn topics in General Knowledge, Reasoning, Mental Ability, and Computer Science for ...

Today, those shouts have been replaced by quiet screens and lightning-fast computers. The evolution of stock trading has turned what was once a noisy, human-driven process into a digital network ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new method based on DNA methylation to decipher the origin and evolution of ...

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

What would you like to Propose? I propose adding flowcharts for selected algorithms to make it easier for beginners to understand the logic visually. Flowcharts will complement the existing code ...

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Abstract: Multi-area optimal power flow (OPF) considering valve-point loading effects (VPL) is a large-scale constrained optimization problem with non-convexity and non-differentiability. Existing ...

1 State Key Laboratory of Intelligent Mining Equipment Technology, Taiyuan, China 2 School of Computer Science and Technology, Anhui University, Hefei, China In the manufacturing process of electric ...