Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

This year, lawmakers in at least 11 states are considering similar legislation that would require businesses to inform consumers of their algorithmic pricing practices that use personal data. Several ...

Search engines are evaluating how information is connected across an entire website, not just within individual pages”— ...

Placebo-adjusted mean weight loss of 16.3% (39 lbs) at 180 mg and 16.0% (37 lbs) at 240 mg at 44 weeks with no evidence of weight loss plateau in ACCESS II, demonstrating highest efficacy among oral ...

Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...

A2Z/ ├── Problems/ # Solved problems organized by difficulty │ ├── Easy/ # Easy level problems │ ├── Medium/ # Medium level problems │ └── Hard/ # Hard level problems │ ├── DataStructures/ # Core data ...

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 ...

Existing image processing and target recognition algorithms have limitations in complex underwater environments and dynamic changes, making it difficult to ensure real-time and precision. Multiple ...

Abstract: In geophysics, structure-oriented filtering (SOF) has been extensively utilized as an effective algorithm to eliminate random noise. This type of filtering is mainly restricted by the local ...