Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
While it is vital for investment firms to focus on clients, asset management entrepreneur Adina Grigoriu refuses to ditch ...
In this video, we explore whether data structures and algorithms are really enough to succeed as a developer in today’s tech industry. Learn how problem-solving skills, system design, real-world ...
Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...
Abstract: This study introduces a novel Convolutional Long Short-Term Memory (ConvLSTM) network for steel structure damage detection, aimed at enhancing the accuracy and reliability of structural ...
Abstract: In this Innovative Practice full paper, we introduce Gurukul, an innovative coding platform designed to support teaching Data Structures and Algorithm (DSA) course by integrating advanced ...
This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...
Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This ...