Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
Marine Environmental Research, Journal Year: 2025, Volume and Issue: 205, P. 106993 - 106993
Published: Feb. 3, 2025
Language: Английский
Citations
1Marine Environmental Research, Journal Year: 2025, Volume and Issue: 204, P. 106971 - 106971
Published: Jan. 20, 2025
Language: Английский
Citations
0Bioresource Technology Reports, Journal Year: 2025, Volume and Issue: unknown, P. 102064 - 102064
Published: Feb. 1, 2025
Language: Английский
Citations
0Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 490, P. 137805 - 137805
Published: March 3, 2025
Language: Английский
Citations
0Polish Maritime Research, Journal Year: 2025, Volume and Issue: 32(1), P. 129 - 136
Published: March 1, 2025
Abstract Increasingly stringent requirements for the durability and reliability of ship components new standards environmental protection have resulted in use increasingly sophisticated technologies shipbuilding industry. The a ship’s propulsion system been meticulously analysed improved over several decades. sliding bearings propeller shaft depend on precision manufacturing assembly large elements, virtually same methods used to measure diameters internal bore shape analysis This paper proposes method assessing technical condition bearing bushes, which enables precise knowledge about possible defects be obtained at stage machining or assembly; this approach also makes it assess degree wear bush. essence is contact scanning surface geometry, thanks build three-dimensional model specific element then its condition. proposed may especially important modern solutions such as with double slope geometry.
Language: Английский
Citations
0Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 215, P. 117862 - 117862
Published: March 27, 2025
Language: Английский
Citations
0Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113520 - 113520
Published: March 1, 2025
Language: Английский
Citations
0Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 382, P. 125427 - 125427
Published: April 18, 2025
Language: Английский
Citations
0Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 216, P. 117965 - 117965
Published: April 18, 2025
Marine plastic debris poses a significant environmental threat. In order to study and combat this pollution, efficient automated detection methods are essential. Hyperspectral imaging deep learning provide robust framework for classifying floating marine debris. However, approaches often suffer from high computational complexity limited interpretability. addition, hyperspectral images high-dimensional data that must be analyzed efficiently. To overcome these limitations, paper proposes the Lightweight Spatial Spectral CNN (LSS-HCNN), model designed enhance classification accuracy while improving efficiency The proposed first applies spatialwise convolutions extract spatial features individual spectral bands, then uses spectralwise relationships between bands. Additionally, Squeeze-and-Excitation (SE) block improves interpretability by focusing on most informative Experiments were conducted three datasets containing various materials four dedicated datasets, including new waste dataset. It provides in configurations: visible-near-infrared (VIS-NIR), near-infrared-shortwave-infrared (NIR-SWIR), fused domain. Results show LSS-HCNN outperforms traditional handcrafted descriptors deep-learning models, particularly plastics. achieves mean of 97.64% reducing complexity. Compared standard 2D-CNN, it reduces number parameters over 80% Floating Point Operations (FLOPS) factor 7. Moreover, SE analysis reveals NIR-SWIR bands contribute classification. This highlights as an model, supporting monitoring efforts.
Language: Английский
Citations
0Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121662 - 121662
Published: April 1, 2025
Language: Английский
Citations
0