In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

TikTok’s 2026 algorithm continues to power one of the most engaging personalized content systems in social media. Instead of relying on followers, it prioritizes relevance, watch behavior, and user ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

ABSTRACT: The purpose of this paper is to introduce a new pivot rule of the simplex algorithm. The simplex algorithm first presented by George B. Dantzig, is a widely used method for solving a linear ...

Is linear TV a thing of the past — or does it still have life left in it? In this video, we explore how streaming services have disrupted broadcast schedules and reshaped viewer expectations. From ...

Abstract: In this work, to address the fixed step-size problem of the widely linear complex-valued affine projection algorithm (WL-CAPA), we propose a sliding-window step-size (SWSS) selection scheme, ...