☆ 4.6 Article

Patent Analysis Using Bayesian Data Analysis and Network Modeling

APPLIED SCIENCES-BASEL (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Geochemistry & Geophysics

Building Area Estimation in Drone Aerial Images Based on Mask R-CNN

Jun Chen et al.

Summary: A novel method based on Mask R-CNN is proposed to calculate building areas in rural areas with frequent disasters, using transfer learning to achieve good results with a small number of training samples. Experimental results show that the proposed method performs well in terms of F1 score and intersection over union.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2021)

添加到收藏夹

Article Engineering, Civil

Predicting Bus Passenger Flow and Prioritizing Influential Factors Using Multi-Source Data: Scaled Stacking Gradient Boosting Decision Trees

Weitiao Wu et al.

Summary: Accurate bus passenger flow prediction is crucial for informed decisions and utilizing transit supply efficiently. The SS-GBDT model proposed in this study utilizes multi-source data to predict passenger flow by generating enhanced features and addressing multicollinearity issue with a two-module approach. This model shows superior prediction accuracy and stability, while effectively handling the multicollinearity issue, and can prioritize influential factors for passenger flow prediction in the presence of big data.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

添加到收藏夹

Article Environmental Sciences

Enhancement of the sustainability of wolfram mining using drone remote sensing technology

Juan-Jose Tejado-Ramos et al.

Summary: Tungsten is an essential element for technological development, but its rarity and scarcity in natural resources have raised environmental concerns. The D-Miner Project investigates how to enhance mining sustainability using remote sensing technology, showing a significant potential for improvement in mineral exploration and identification.

REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety

Maria Tzelepi et al.

Summary: This paper proposes a novel human crowd detection method using deep convolutional neural networks for drone flight safety, providing lightweight architectures for effective identification of crowded scenes and a generic regularization technique for different deep learning architectures. Experimental validation on a new dataset demonstrates the effectiveness of the proposed detector and regularizers in improving classification accuracy, which is further confirmed on two additional datasets.

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2021)

添加到收藏夹

Article Environmental Sciences

Mapping invasive alien trees in water towers: A combined approach using satellite data fusion, drone technology and expert engagement

Petra B. Holden et al.

Summary: Despite the proven value of remote sensing technology for invasive alien plant management globally, operationalizing advances in this field remains a significant challenge. A lack of detailed remote sensing studies in certain water tower areas, such as the southwestern Cape of South Africa, highlights the need for more inclusive and repeatable approaches to map invasive alien plants. A novel, transdisciplinary approach combining various technologies and methods has provided a more accurate understanding of invasive alien tree occurrences and densities in the region.

REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package

Rodney Sparapani et al.

Summary: BART is a Bayesian nonparametric, machine learning, ensemble predictive modeling method for various types of outcomes. It is computationally efficient and takes advantage of modern hardware and software multi-threading technology. The BART package provides efficient state-of-the-art implementations and tools for data analysis and prediction.

JOURNAL OF STATISTICAL SOFTWARE (2021)

添加到收藏夹

Article Chemistry, Multidisciplinary

Patent Data Analysis of Artificial Intelligence Using Bayesian Interval Estimation

Daiho Uhm et al.

APPLIED SCIENCES-BASEL (2020)

添加到收藏夹

Article Computer Science, Hardware & Architecture

Towards a framework of key technologies for drones

Reda Nouacer et al.

MICROPROCESSORS AND MICROSYSTEMS (2020)

添加到收藏夹

Article Multidisciplinary Sciences

Patent citation network analysis: A perspective from descriptive statistics and ERGMs

Manajit Chakraborty et al.

PLOS ONE (2020)

添加到收藏夹

Article Robotics

Recent researches on innovative drone technologies in robotics field

S. Suzuki

ADVANCED ROBOTICS (2018)

添加到收藏夹

Article Automation & Control Systems

Patent Big Data Analysis using Fuzzy Learning

Sangsung Park et al.

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2017)

添加到收藏夹

Article Engineering, Industrial

Applying LSA text mining technique in envisioning social impacts of emerging technologies: The case of drone technology

Heeyeul Kwon et al.

TECHNOVATION (2017)

添加到收藏夹

Article Statistics & Probability

bartMachine: Machine Learning with Bayesian Additive Regression Trees

Adam Kapelner et al.

Journal of Statistical Software (2016)

添加到收藏夹

Article Statistics & Probability

Text Mining Infrastructure inR

Ingo Feinerer et al.

Journal of Statistical Software (2015)

添加到收藏夹

Article Statistics & Probability

VARIABLE SELECTION FOR BART: AN APPLICATION TO GENE REGULATION

Justin Bleich et al.

ANNALS OF APPLIED STATISTICS (2014)

添加到收藏夹

Article Management

Patent text mining and informetric-based patent technology morphological analysis: an empirical study

Xu Feng et al.

TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT (2012)

添加到收藏夹

Article Statistics & Probability

BART: BAYESIAN ADDITIVE REGRESSION TREES

Hugh A. Chipman et al.

ANNALS OF APPLIED STATISTICS (2010)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.