Object perception in underwater environments: a survey on sensors and sensing methodologies

DQ Huy, N Sadjoli, AB Azam, B Elhadidi, Y Cai… - Ocean …, 2023 - Elsevier
Underwater robots play a critical role in the marine industry. Object perception is the
foundation for the automatic operations of submerged vehicles in dynamic aquatic …

Current algorithms, communication methods and designs for underwater swarm robotics: A review

J Connor, B Champion, MA Joordens - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
As technology advances, the places we have been able to explore have drastically
increased. However, the advancements in the underwater realm have staggered behind …

Exploring modern bathymetry: A comprehensive review of data acquisition devices, model accuracy, and interpolation techniques for enhanced underwater mapping

Z Li, Z Peng, Z Zhang, Y Chu, C Xu, S Yao… - Frontiers in Marine …, 2023 - frontiersin.org
Building a high-precision bathymetry digital elevation model is essential for navigation
planning, marine and lake resource planning, port construction, and underwater …

A complete framework for accurate recognition and prognosis of COVID-19 patients based on deep transfer learning and feature classification approach

HM Balaha, EM El-Gendy, MM Saafan - Artificial Intelligence Review, 2022 - Springer
The sudden appearance of COVID-19 has put the world in a serious situation. Due to the
rapid spread of the virus and the increase in the number of infected patients and deaths …

Dual-branch framework: AUV-based target recognition method for marine survey

F Yu, B He, J Liu, Q Wang - Engineering Applications of Artificial …, 2022 - Elsevier
Autonomous recognition of marine targets is considered a promising technology for
autonomous underwater vehicle (AUV) marine survey, and AUV equipped with side-scan …

A segmentation method based on HMRF for the aided diagnosis of acute myeloid leukemia

J Su, S Liu, J Song - Computer methods and programs in biomedicine, 2017 - Elsevier
Background and objectives The diagnosis of acute myeloid leukemia (AML) is purely
dependent on counting the percentages of blasts (> 20%) in the peripheral blood or bone …

Wavelet-based classification of enhanced melanoma skin lesions through deep neural architectures

P Jayaraman, N Veeramani, R Krishankumar… - Information, 2022 - mdpi.com
In recent years, skin cancer diagnosis has been aided by the most sophisticated and
advanced machine learning algorithms, primarily implemented in the spatial domain. In this …

[图书][B] Image Segmentation: Principles, Techniques, and Applications

T Lei, AK Nandi - 2022 - books.google.com
Image Segmentation Summarizes and improves new theory, methods, and applications of
current image segmentation approaches, written by leaders in the field The process of …

AEKF-SLAM: A new algorithm for robotic underwater navigation

X Yuan, JF Martínez-Ortega, JAS Fernández, M Eckert - Sensors, 2017 - mdpi.com
In this work, we focus on key topics related to underwater Simultaneous Localization and
Mapping (SLAM) applications. Moreover, a detailed review of major studies in the literature …

Highly curved lane detection algorithms based on Kalman filter

B Dorj, S Hossain, DJ Lee - Applied Sciences, 2020 - mdpi.com
The purpose of the self-driving car is to minimize the number casualties of traffic accidents.
One of the effects of traffic accidents is an improper speed of a car, especially at the road …