Výsledky vyhledávání - "Fully connected sparse autoencoder"

A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

Autoři: Faming Huang Jing Zhang Chuangbing Zhou a další

Přispěvatelé: Faming Huang Jing Zhang Chuangbing Zhou a další

Zdroj: Landslides. 17:217-229

Témata: back-propagation neural network, landslide susceptibility prediction, deep learning, support vector machine, fully connected sparse autoencoder, 01 natural sciences, 0105 earth and related environmental sciences

Přístupová URL adresa: https://link.springer.com/article/10.1007/s10346-019-01274-9

A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

Autoři: Huang, Faming Zhang, Jing Zhou, Chuangbing a další

Přispěvatelé: Huang, Faming Zhang, Jing Zhou, Chuangbing a další

Témata: landslide susceptibility prediction, deep learning, fully connected sparse autoencoder, support vector machine, back-propagation neural network

Relation: Landslides Vol. 17, Issue 1, p. 217-229; http://hdl.handle.net/1959.13/1424739; uon:38139

Dostupnost: http://hdl.handle.net/1959.13/1424739

Blasting and Sliding Parameter Optimization for Efficient Autonomous Construction Rock Debris Sliding Transportation in an Inclined Shaft.

Autoři: Luo, You Hu, Demao Yao, Qiang a další

Zdroj: Journal of Construction Engineering & Management; Nov2025, Vol. 151 Issue 11, p1-15, 15p

Témata: CONSTRUCTION projects, MINE waste, CONSTRUCTION planning, SHAFTING machinery, SUSTAINABLE engineering, EXPERIMENTAL design

Selection of contributing factors for predicting landslide susceptibility using machine learning and deep learning models.

Autoři: Chen, Cheng Fan, Lei

Zdroj: Stochastic Environmental Research & Risk Assessment; Oct2025, Vol. 39 Issue 10, p4169-4194, 26p

Témata: MACHINE learning, DEEP learning, SENSITIVITY analysis, FEATURE selection, NATURAL disasters, PREDICTIVE validity, LANDSLIDES

Effects of Non-landslide Sample Selection Methods and Evaluation Models on the Uncertainty of Landslide Susceptibility Prediction. (English)

Autoři: MA, Sheng CHEN, Jian LI, Qiang a další

Zdroj: Geoscience / Xiandai Dizhi; Oct2025, Vol. 9 Issue 5, p1373-1391, 19p

Témata: LANDSLIDE hazard analysis, MACHINE learning, RISK assessment, UNCERTAINTY (Information theory), EVALUATION methodology, SAMPLING methods

Geografický termín: SHAANXI Sheng (China)

Deep transfer learning with Bayesian optimization for evolutionary-stage prediction of step-like landslides.

Autoři: Ma, Tao Xiao, Huabo Yang, Yonghang

Zdroj: Frontiers in Earth Science; 2025, p1-17, 17p

Témata: CONVOLUTIONAL neural networks, LONG short-term memory, TRANSFER of training, LANDSLIDE prediction, DEEP learning, MATHEMATICAL optimization, LANDSLIDES, LANDSLIDE hazard analysis

A hybrid VMD-LSTM-SVR model for landslide prediction.

Autoři: Wang, Nianhong Wang, Meijun Zhang, Jun

Zdroj: Frontiers in Built Environment; 2025, p1-12, 12p

Témata: LANDSLIDES, LONG short-term memory, SUPPORT vector machines, NATURAL disasters, EXPERIMENTAL design, DISPLACEMENT (Mechanics), FORECASTING, MATRIX decomposition

The Application of KNN-Optimized Hybrid Models in Landslide Displacement Prediction.

Autoři: Jiang, Hongwei Wu, Jiayi Zhou, Hao a další

Zdroj: Eng (2673-4117); Aug2025, Vol. 6 Issue 8, p169, 21p

Témata: LANDSLIDE prediction, LONG short-term memory, PREDICTION models, SAN Xia Dam (China), HAZARD mitigation, K-nearest neighbor classification, ENSEMBLE learning

Clustered Rainfall-Induced Landslides in Jiangwan Town, Guangdong, China During April 2024: Characteristics and Controlling Factors.

Autoři: Wei, Ruizeng Shan, Yunfeng Wang, Lei a další

Zdroj: Remote Sensing; Aug2025, Vol. 7 Issue 15, p2635, 26p

Témata: LANDSLIDES, RAINFALL, LANDSLIDE hazard analysis, CITIES & towns, MACHINE learning, EXTREME weather

Geografický termín: CHINA, GUANGDONG Sheng (China)

Spatial Prediction and Environmental Response of Skipjack Tuna Resources from the Perspective of Geographic Similarity: A Case Study of Purse Seine Fisheries in the Western and Central Pacific.

Autoři: Feng, Shuyang Yang, Xiaoming Li, Menghao a další

Zdroj: Journal of Marine Science & Engineering; Aug2025, Vol. 13 Issue 8, p1444, 23p

Témata: SKIPJACK tuna, FISHERY resources, GEOGRAPHIC spatial analysis, ECOLOGICAL forecasting, OCEAN, HABITATS, SUSTAINABILITY

Geografický termín: PACIFIC Ocean

A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract.

Autoři: Ramzan, Muhammad Raza, Mudassar Khan, Zahid Farooq a další

Zdroj: European Journal of Medical Research; 7/26/2025, Vol. 30 Issue 1, p1-37, 37p

Témata: ARTIFICIAL intelligence, NOSOLOGY, VIDEO endoscopy, GASTROINTESTINAL system, FEATURE selection

A comprehensive overview of deep learning based video watermarking: current works, challenges and future trends.

Autoři: Mansour, Souha Ben Jabra, Saoussen Zagrouba, Ezzeddine

Zdroj: Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 24, p28013-28060, 48p

Témata: DEEP learning, DIGITAL watermarking, INTELLECTUAL property, DATA integrity, INVISIBILITY

基于信息量和机器学习的新疆托克逊县 地质灾害易发性评价. (Chinese)

Alternate Title: Evaluation of Geological Disaster Susceptibility Based on Information Quantity and Machine Learning in Toksun County, Xinjiang. (English)

Autoři: 李凤霞 刘桂萍 杜光辉 a další

Zdroj: Journal of Xinjiang University (Natural Science Edition); Jul2025, Vol. 42 Issue 4, p469-484, 16p

Optimizing Landslide Susceptibility Mapping with Non-Landslide Sampling Strategy and Spatio-Temporal Fusion Models.

Autoři: Deng, Jun-Han Guo, Hui-Ying Cui, Hong-Zhi a další

Zdroj: Water (20734441); Jun2025, Vol. 17 Issue 12, p1778, 27p

Témata: CONVOLUTIONAL neural networks, LONG short-term memory, LANDSLIDE hazard analysis, DEEP learning, PROCESS capability

Optimising creep constitutive modelling of layered soft rocks using particle swarm method.

Autoři: Tan, Xu-Yan Chen, Weizhong Wang, Luyu a další

Zdroj: Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards; Jun2025, Vol. 19 Issue 2, p325-336, 12p

Témata: ROCK creep, GEOLOGICAL formations, THREE-dimensional printing, PARTICLE analysis, ROCK deformation

Geographically Weighted Random Forest Based on Spatial Factor Optimization for the Assessment of Landslide Susceptibility.

Autoři: Lu, Feifan Zhang, Guifang Wang, Tonghao a další

Zdroj: Remote Sensing; May2025, Vol. 17 Issue 9, p1608, 28p

Témata: EMERGENCY management, RANDOM forest algorithms, LANDSLIDES, MACHINE learning, LANDSLIDE hazard analysis, HETEROGENEITY

Probabilistic approach for quantifying weather conditions for landslide occurrences at a 60 m-high weathered rock slope in western Canada.

Autoři: Mirhadi, Nima Macciotta, Renato Gräpel, Chris a další

Zdroj: Natural Hazards; Mar2025, Vol. 121 Issue 5, p5697-5728, 32p

Témata: WEATHER, ROCKFALL, EARTHFLOWS, ROCK slopes, SPRING, LANDSLIDES

Geografický termín: NEWFOUNDLAND & Labrador

气候变化背景下降雨滑坡风险评估研究进展. (Chinese)

Alternate Title: Research progress on rainfall-triggered landslide risk assessment under the context of climate change. (English)

Autoři: 黄 雨 何正迎

Zdroj: Chinese Journal of Geological Hazard & Control; 2025, Vol. 36 Issue 2, p13-27, 15p

Témata: LANDSLIDE hazard analysis, RISK assessment of climate change, EMERGENCY management, HAZARD mitigation, GEOLOGICAL surveys, LANDSLIDES, DISASTER resilience, NATURAL disaster warning systems

Landslide Hazard Assessment Based on Ensemble Learning Model and Bayesian Probability Statistics: Inference from Shaanxi Province, China.

Autoři: Shen, Shuhan Deng, Longsheng Tang, Dong a další

Zdroj: Sustainability (2071-1050); Mar2025, Vol. 17 Issue 5, p1973, 29p

Regional landslide hazard assessment using the IV-RF coupling model and critical monthly average rainfall threshold: A case study from Fuling District, Chongqing. (English)

Autoři: PENG Shuangqing LIU Pengfei CHEN Gang a další

Zdroj: Chinese Journal of Geological Hazard & Control; 2025, Vol. 36 Issue 1, p131-145, 15p