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Typological Parameters for the Lexica-syntactic Structures of High-digit Numerical Expressions
Cheng Luo
Jul 30, 2013
The objective of this paper is to explore the lexico-syntactic structure of high-digit numerical expressions (henceforth HDNEs), normally with 4 digits and more, and to propose a set of typological parameters to account for...
Published by: Atlantic Provinces Linguistic Association
Grammatical Relations, Transitivity and Ergativity
Cheng Luo
Sep 05, 2013
Keenan and Comrie's Accessibility Hierarchy (AH) applied to clefting predicts greater c1eftability of subject (s U) than direct object (DO). However, in some Eastern Austronesian languages, particularly Tongan, some transitive...
Published by: Atlantic Provinces Linguistic Association
A Modification-Free Steganography Algorithm Based on Image Classification and CNN
In order to improve the data-embedding capacity of modification-free steganography algorithm, scholars have done a lot of research work to meet practical demands. By researching the user's behavioral habits of several social...
Published by: IGI Global
Influencing Neutrosophic Factors of Speech Recognition Technology in English Collection
Based on the research and analysis of speech recognition system and neural network principle, combined with English related decision tree, this paper completes the construction and design of English speech recognition based on...
Published by: IGI Global
Mobile Payment and Mobile Application (App) Behavior for Online Recommendations
A mobile application (App) is an application designed to run on a smartphone, tablet, or other mobile device. With the continuous change of mobile payment applications in smart phones and the support of the banking system, the...
Published by: IGI Global
Better Not Let Me Know
Customers' concerns about inappropriate use of personal information can create potential threats that jeopardize the proliferation of emerging markets. This study aims at investigating how the adaptive and maladaptive responses...
Published by: IGI Global
A Study of the Influence of Entrepreneurs' Geographic and Academic Relationships on Corporate Innovation
Corporate innovation is the driver and wellspring of business operation and development. Thus, how entrepreneurs can enhance the innovation capabilities of their enterprises is an important topic in corporate development. Taking...
Published by: IGI Global
Measuring Enterprise Mutual Information Based on the Helix Model
In the context of digital transformation, this emerging technologies input creates powerful digital capabilities. Despite of the long distance, The enterprises cooperate more closely through wireless networks in digital space...
Published by: IGI Global
Dynamic Technical Performance Measurement in Rural Tourism
With the characteristic of low carbon emission and sustainability, the development of rural tourism becomes one of the key parts to achieve mutual carbon target in Chinese tourism industry. However, previous research on China's...
Published by: IGI Global
Modeling and Solution Algorithm for Optimization Integration of Express Terminal Nodes With a Joint Distribution Mode
The rapid development of e-commerce has led to increased pressure on the express delivery industry to transport products to customers in a timely manner. The problem of how to deliver an increasing volume of express orders to...
Published by: IGI Global
Machine Learning Based Admission Data Processing for Early Forecasting Students' Learning Outcomes
In this paper, the authors explore the factors to improve the accuracy of predicting student learning outcomes. The method can remove redundant and irrelevant factors to get a “clean” data set without having to solve the NP-Hard...
Published by: IGI Global
How to Integrate Universities and Cities Through Local Spatial Developments
As irreplaceable knowledge infrastructures, universities have been acknowledged to play the roles of fostering knowledge workers, supporting knowledge economies, and building knowledge cities. Through spatial developments...
Published by: IGI Global
Continuance Intention of Online Healthcare Communities
The purpose of this research is to evaluate the continuance usage intention on online healthcare community (OHC) platform for patients and examine the "doctor-OHC-patient" relationship. The proposed model attempted to integrate...
Published by: IGI Global
A Multi-Dimensional Context-Aware Healthcare Service Recommendation Method
Due to the outbreak of the COVID-19, online diagnosis and treatment services have developed rapidly, but it is not easy for patients to choose the appropriate healthcare service in the face of massive amounts of information. ...
Published by: IGI Global
A Reversible Watermarking Algorithm Resistant to Image Geometric Transformation
This article proposes a novel robust reversible watermarking algorithm. The proposed watermarking scheme is reversible because the original image can be recovered after extracting watermarks from the watermarked image, as long...
Published by: IGI Global
Deep Learning Hybrid Models for COVID-19 Prediction
COVID-19 is a highly contagious virus. Blood test is one of effective methods for COVID-19 diagnosis. However, the issues of blood test are time-consuming and lack of medical staff. In this paper, four deep learning hybrid...
Published by: IGI Global
Will Facebook Encourage Citizen Participation?
Facebook, the most popular social media in the world, has changed the ways of citizen involvement in governance. Politicians and (elected) public administrators worldwide have adopted Facebook as an important approach to connect...
Published by: IGI Global
An Evaluation System Based on User Big Data Management and Artificial Intelligence for Automatic Vehicles
As artificial intelligence technique is widely used in the automatic driving system, the safety evaluation of automatic vehicles is considered to be the most important demand. Under this context, in this paper, an evaluation...
Published by: IGI Global
Information Equity and Cultural Sharing
It is very important to study public library services available to migrant workers, which have the potential to enrich public library services and promote social equity. After analyzing the present situation and characteristics...
Published by: IGI Global
The Impact of Digitalization on Supply Chain Integration and Performance
The purpose of this paper is to investigate the relationships between digitalization, supply chain integration, and firm performance. Data are analyzed by the partial least square structural equation modeling (PLS-SEM). The...
Published by: IGI Global
Improved Semantic Representation Learning by Multiple Clustering for Image-Based 3D Model Retrieval
Under the heavy management on the increasing 3D models, the topic of image-based 3D model retrieval which organizes unlabeled 3D models based on abundant knowledge learned from labeled 2D images has drawn attention. However...
Published by: IGI Global
An Entropy-View Secure Multiparty Computation Protocol Based on Semi-Honest Model
Data interaction scenarios involving multiple parties in network communities have problems of trust, data security, and reliability of the parties, and secure multiparty computation(SMPC) can effectively solve these problems. To...
Published by: IGI Global
Thermal Tactile Perception
Using thermal tactile sensing mechanism based on semi-infinite body model, and combining with the advantages of maximum proportional controller, fuzzy and PID controller, a thermal tactile perception and reproduction experiment...
Published by: IGI Global
Familiarity with, perceptions of and attitudes toward butterflies of urban park users in megacities across East and Southeast Asia
Voon-Ching Lim, Kong-Wah Sing, Kwek Yan Chong, Narong Jaturas, Hui Dong, Ping-Shin Lee, Nguyen Thien Tao, Dzung Trung Le, Timothy C. Bonebrake, Toby P. N. Tsang, Leo Chu, Guo-Jie Brandon-Mong, Wye-Lup Kong, Masashi Soga, John-James Wilson
Apr 17, 2023
Ecology conservation and global change biology RESEARCH ARTICLES Butterflies CONSERVATION human–wildlife interactions megacities nature experiences urban wildlife
Published by: The Royal Society
A BERT-Based Hybrid Short Text Classification Model Incorporating CNN and Attention-Based BiGRU
Short text classification is a research focus for natural language processing (NLP), which is widely used in news classification, sentiment analysis, mail filtering and other fields. In recent years, deep learning techniques are...
Published by: IGI Global
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