检索结果-南通市图书馆

Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine learning Models

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： Duc-Dam Nguyen Nguyen viet Tiep Quynh-anh Thi Bui Hiep Van le Indra Prakash Romulus Costache Manish Pandey Binh Thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research Institute of the University of Bucharest Bucharest050663Romania National Institute of Hydrology and Water Management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Marwadi University Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

Privacy-preserving explainable AI: a survey

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2025年第1期68卷 23-56页

作者： Thanh Tam NGUYEN Thanh Trung HUYNH Zhao REN Thanh Toan NGUYEN Phi le NGUYEN Hongzhi YIN Quoc viet Hung NGUYEN School of Information and Communication Technology Griffith University School of Computer and Communication Sciences Ecole Polytechnique Federale de Lausanne Faculty of Mathematics and Computer Science University of Bremen Faculty of Information Technology HUTECH University Department of Computer Science Hanoi University of Science and Technology School of Electrical Engineering and Computer Science The University of Queensland

As the adoption of explainable AI(XAI) continues to expand, the urgency to address its privacy implications intensifies. Despite a growing corpus of research in AI privacy and explainability, there is little attention on privacy-preserving model explanations. This article presents the first thorough survey about privacy attacks on model explanations and their countermeasures. Our contribution to this field comprises a thorough analysis of research papers with a connected taxonomy that facilitates the categorization of privacy attacks and countermeasures based on the targeted explanations. This work also includes an initial investigation into the causes of privacy leaks. Finally, we discuss unresolved issues and prospective research directions uncovered in our analysis. This survey aims to be a valuable resource for the research community and offers clear insights for those new to this domain. To support ongoing research, we have established an online resource repository, which will be continuously updated with new and relevant findings.

关键词： privacy-preserving explainable AI privacy attacks privacy defences PrivEx PPXAI

Prediction of Shear Bond Strength of Asphalt Concrete Pavement Using Machine learning Models and Grid Search Optimization Technique

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2025年第1期142卷 691-712页

作者： Quynh-anh Thi Bui Dam Duc Nguyen Hiep Van le Indra Prakash Binh Thai Pham Civil Engineering Department University of Transport Technology54 Trieu KhucThanh XuanHanoi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India

Determination of Shear Bond strength(SBS)at interlayer of double-layer asphalt concrete is crucial in flexible pavement *** study used three Machine learning(ML)models,including K-Nearest Neighbors(KNN),Extra Trees(ET),and Light Gradient Boosting Machine(LGBM),to predict SBS based on easily determinable input ***,the Grid Search technique was employed for hyper-parameter tuning of the ML models,and cross-validation and learning curve analysis were used for training the *** models were built on a database of 240 experimental results and three input variables:temperature,normal pressure,and tack coat *** validation was performed using three statistical criteria:the coefficient of determination(R2),the Root Mean Square Error(RMSE),and the mean absolute error(MAE).Additionally,SHAP analysis was also used to validate the importance of the input variables in the prediction of the *** show that these models accurately predict SBS,with LGBM providing outstanding ***(Shapley Additive explanation)analysis for LGBM indicates that temperature is the most influential factor on ***,the proposed ML models can quickly and accurately predict SBS between two layers of asphalt concrete,serving practical applications in flexible pavement structure design.

关键词： Shear bond asphalt pavement grid search optimization machine learning

Persistent challenges in the diagnosis of acute pancreatitis due to primary hyperparathyroidism during pregnancy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Gastroenterology 2025年第7期31卷 1-9页

作者： Thang viet Luong Linh Duy le Nam Van Duc Nguyen Hai Nguyen Ngoc Dang Department of Internal Medicine University of Medicine and PharmacyHue UniversityHue 530000Viet Nam Faculty of Medicine Duy Tan UniversityDa Nang 550000Viet Nam

In this manuscript,we provide critical commentary on the systematic review by Augustin et al,which investigated acute pancreatitis induced by primary hyperparathyroidism during *** this is an infrequent complication,it poses severe risks to both maternal and fetal *** to its infrequent occurrence in clinical practice,this review is based on an analysis of individual case reports over the past 55 *** this is not the first study to utilize this sampling method for primary hyperparathyroidism-induced acute pancreatitis,it is unique in that it has a sufficiently large sample size with statistically significant *** discussion focuses on the diagnostic challenges associated with this condition,which are grounded in the mechanisms of parathyroid hormone secretion and variations in serum calcium *** also address the limitations of the current review and suggest potential strategies to increase diagnostic accuracy and improve health outcomes for both mothers and fetuses during pregnancy.

关键词： Primary hyperparathyroidism Acute pancreatitis Pregnancy Diagnostic algorithm Parathyroid hormone Systematic review

Optimization of the in Vitro Fertilization System in Cỏ Goat Oocytes

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Open Journal of Animal Sciences 2025年第1期15卷 39-50页

作者： Van Khanh Nguyen Huong Thi Thu Vu Au Thi Hoang Yen Thi Kim Pham Dat Van le Quan Xuan Huu Lan anh Thi Nguyen Huong le Thi Nguyen Lan Doan Pham Key Laboratory of Animal Cell Biotechnology National Institute of Animal Sciences Hanoi Vietnam

This study aimed to optimization of the in vitro fertilization system in Cỏ goat oocytes to achieve the maximum possible blastocyst development rate. In Experiment 1, we assessed the effects of IVF media on the in vitro fertilization of Cỏ goat oocytes. There was no significant difference in the cleavage, blastocyst, or hatching rates between TALP-Fert and BO-IVF media. Experiment 2 was performed to assess the concentration of sperm in the in vitro fertilization of Cỏ goat oocytes. The matured Cỏ goat oocytes were fertilized in BO-IVF for four sperm concentrations: 5 × 105, 1 × 106, 2 × 106 and 3 × 106 sperm/ml. The blastocyst rate of 2 × 106 sperm/ml and 3 × 106 sperm/ml groups was higher than that of 5 × 105 sperm/ml and 1 × 106 sperm/ml groups (P Experiment 3 was performed to assess the IVF duration on the in vitro fertilization of Cỏ goat oocytes. The matured Cỏ goat oocytes were fertilized in BO-IVF with sperm concentration of 3 × 106 sperm/ml for 18, 20, 22 and 24 h. The cleavage, blastocyst, and hatching blastocyst rates of 18 h group were lower than those of 20, 22 and 24 h groups (P 0.05). In conclusion, the matured Cỏ goat oocytes were fertilized in BO-IVF with sperm concentration of 3 × 106 sperm/ml for 20 hours, which is suitable for the in vitro Cỏ goat embryo production.

关键词： Cỏ Goat Oocytes In Vitro Fertilizaition Media In Vitro Fertilizaition Duration Sperm Concentration In Vitro Embryos

High-throughput screening of 2D materials identifies p-type monolayer WS_(2)as potential ultra-high mobility semiconductor

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

npj Computational Materials 2024年第1期10卷 799-819页

作者： viet-anh Ha Feliciano Giustino Oden Institute for Computational Engineering and Sciences The University of Texas atAustin201 E.24th StreetAustinTX78712USA Department of Physics The University of Texas at AustinAustinTX78712USA

2D semiconductors offer a promising pathway to replace silicon in next-generation *** their many advantages,2D materials possess atomically-sharp surfaces and enable scaling the channel thickness down to the monolayer ***,these materials exhibit comparatively lower charge carrier mobility and higher contact resistance than 3D semiconductors,making it challenging to realize high-performance devices at scale.

关键词： mobility monolayer semiconductors

A Novel Approach Based on Graph Attention Networks for Fruit Recognition

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2025年第2期82卷 2703-2722页

作者： Dat Tran-anh Hoai Nam Vu Faculty of Information Technology Thuyloi UniversityHa Noi100000Viet Nam Faculty of Artificial Intelligence Posts and Telecommunications Institute of TechnologyNguyen TraiHa Noi100000Viet Nam Young Innovation Research Laboratory on Digital Technology(YIRLoDT) Posts and Telecommunications Institute of TechnologyNguyen TraiHa Noi100000Viet Nam

Counterfeit agricultural products pose a significant challenge to global food security and economic stability, necessitating advanced detection mechanisms to ensure authenticity and quality. To address this pressing issue, we introduce iGFruit, an innovative model designed to enhance the detection of counterfeit agricultural products by integrating multimodal data processing. Our approach utilizes both image and text data for comprehensive feature extraction, employing advanced backbone models such as Vision Transformer (ViT), Normalizer-Free Network (NFNet), and Bidirectional Encoder Representations from Transformers (BERT). These extracted features are fused and processed using a Graph Attention Network (GAT) to capture intricate relationships within the multimodal data. The resulting fused representation is subsequently classified to detect counterfeit products with high precision. We validate the effectiveness of iGFruit through extensive experiments on two datasets: the publicly available MIT-States dataset and the proprietary TLU-States dataset, achieving state-of-the-art performance on both benchmarks. Specifically, iGFruit demonstrates an improvement of over 3% in average accuracy compared to baseline models, all while maintaining computational efficiency during inference. This work underscores the necessity and innovativeness of integrating graph-based feature learning to tackle the critical issue of counterfeit agricultural product detection.

关键词： Fruit recognition graph attention network multi-feature processing

A NOTE ON SINGULAR INTEGRALS WITH DOMINATING MIXED SMOOTHNESS IN TRIEBEL-LIZORKIN SPACES

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Acta Mathematica Scientia 2014年第4期34卷 1331-1344页

作者： Hung viet le Faculty of Science and Technology Hoa Sen UniversityQuang Trung Software ParkSection 10Ward Tan Chanh HiepDistrict 12Ho Chi Minh CityViet Nam

let h, be a measurable function defined on R^＋ ×R^＋. let Ω ∈ L（log L^＋）^υq （S^n1-1 × S^n2-1）（1≤ υq ≤ 2） be homogeneous of degree zero and satisfy certain cancellation conditions. We show that the singular integral Tf（x1,x2）=p.v.∫∫R^n1＋n2 Ω（y′1,y′2）h（｜y1｜,｜y2｜）/｜y1｜^n1｜y2｜^n2 f（x1-y1,x2-y2）dy1dy2maps from Sp,q^α1,α2F（R^n1×R^n2）boundedly to itself for 1 〈 p, q 〈 ∞, α1, α2 ∈R.

关键词： singular integrals Marcinkiewicz integrals mixed smoothness Triebel-Lizorkin spaces

From Imperfection to Perfection: Advanced 3D Facial Reconstruction Using MICA Models and Self-Supervision learning

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2025年第2期142卷 1459-1479页

作者： Thinh D.le Duong Q.Nguyen Phuong D.Nguyen H.Nguyen-Xuan CIRTECH Institute HUTECH UniversityHo Chi Minh City72308Viet Nam

Research on reconstructing imperfect faces is a challenging *** this study,we explore a data-driven approach using a pre-trained MICA(MetrIC fAce)model combined with 3D printing to address this *** propose a training strategy that utilizes the pre-trained MICA model and self-supervised learning techniques to improve accuracy and reduce the time needed for 3D facial structure *** results demonstrate high accuracy,evaluated by the geometric loss function and various statistical *** showcase the effectiveness of the approach,we used 3D printing to create a model that covers facial *** findings indicate that our method produces a model that fits well and achieves comprehensive 3D facial *** technique has the potential to aid doctors in treating patients with facial injuries.

关键词： 3D face reconstruction self-supervised learning face defect 3D printed prototypes