Advancements in Sensor Fusion for Underwater SLAM: A Review on Enhanced Navigation and Environmental Perception

Underwater simultaneous localization and mapping (SLAM) has significant challenges due to the complexities of underwater environments, marked by limited visibility, variable conditions, and restricted global positioning system (GPS) availability.This study Custom Shaped Wood Sign provides a comprehensive analysis of sensor fusion techniques in unde

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Map Reading and Analysis with GPT-4V(ision)

In late 2023, the image-reading capability added to a Generative Pre-trained Transformer (GPT) framework provided #6 DARK BLOND the opportunity to potentially revolutionize the way we view and understand geographic maps, the core component of cartography, geography, and spatial data science.In this study, we explore reading and analyzing maps with

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Hybrid Simulation Using SAHISim Framework

Hybrid systems such as Cyber Physical Systems (CPS) are becoming more important with time.Apart from CPS there are many hybrid systems in nature.To perform a simulation Tumble Dryers based analysis of a hybrid system, a simulation framework is presented, named SAHISim.It is based on the most popular simulation interoperability standards, i.e.High L

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Preparation of Mechanically Stable Superamphiphobic Coatings via Combining Phase Separation of Adhesive and Fluorinated SiO2 for Anti-Icing

Superamphiphobic #6 DARK BLOND coatings have widespread application potential in various fields, e.g., anti-icing, anti-corrosion and self-cleaning, but are seriously limited by poor mechanical stability.Here, mechanically stable superamphiphobic coatings were fabricated by spraying the suspension composed of phase-separated silicone-modified polye

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