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Article

15 Pages

Probabilistic Visualisation Approach Using Polar Histograms to Examine the Influence of Networked Distributed Generation

Yasmin Nigar Abdul Rasheed,
Ashish P. Agalgaonkar and
Kashem Muttaqi

Energies2026, 19(3), 799;https://doi.org/10.3390/en19030799

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3 February 2026

The variability of renewable energy sources, coupled with the decentralised configuration of distributed generation (DG), significantly complicates grid management, necessitating sophisticated visual analytics to enhance power system performance and...

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Review

2,423 Views

32 Pages

A Review of Deep Learning Approaches Based on Segment Anything Model for Medical Image Segmentation

Dina Koishiyeva,
Dinargul Mukhammejanova,
Jeong Won Kang and
Assel Mukasheva

Bioengineering2025, 12(12), 1312;https://doi.org/10.3390/bioengineering12121312

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29 November 2025

Medical image segmentation has undergone significant changes in recent years, mainly due to the development of base models. The introduction of the Segment Anything Model (SAM) represents a major shift from task-specific architectures to universal ar...

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Article

6 Citations

5,441 Views

18 Pages

NanoMap: A GPU-Accelerated OpenVDB-Based Mapping and Simulation Package for Robotic Agents

Violet Walker,
Fernando Vanegas and
Felipe Gonzalez

Remote Sens.2022, 14(21), 5463;https://doi.org/10.3390/rs14215463

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30 October 2022

Encoding sensor data into a map is a problem that must be undertaken by any robotic agent operating in unknown or uncertain environments, and real-time updates are crucial to safe planning and control. Most modern robotic sensors produce some form of...

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