Most recommender systems usually combine several recommendation methods to enhance the recommendation accuracy. Collaborative filtering (CF) is a best-known personalized recommendation technique. While temporal association...
Based on rural population return management, governance theory, and information technology theory, this paper analyzes the specific performance of rural areas in managing population return, and describes the overview, quantity...
In der vorliegenden Arbeit befasse ich mich mit der Problematik derEmpfindung, bzw. der Hyle, in Husserls Phänomenologie und derentsprechenden Auslegung von Ludwig Landgrebe. Husserl verwendet denBegriff der Empfindung, bzw. der...
The multimodal presentation of humour on digitalized networking platforms such as smart phones and live streaming has undoubtedly increased its degree of difficulty to translate. Humour translation in the age of multimedia is...
Practical learning methodologies have become the need of the hour in the education sector, in particular in engineering education, to achieve technical competencies and skills. Advancements in web-based learning strategies have...
Based on the deep learning (DL) theory, the study takes the multinational corporation technology company A as the research target, and explores the impact of information technology (IT) management capabilities on the sustainable...
With the increasing demand on smart agriculture, the effective growth of a plant and increase its productivity are essential. To increase the yield and productivity, monitoring of a plant during its growth till its harvesting is...
To solve the dilemma between the increasing demand for cross-border e-commerce talents and incompatible students’ skill level, Industry-University-Research cooperation, as an essential pillar for inter-disciplinary talent...
The segmentation of MRI brain tumors utilizes computer technology to segment and label tumors and normal tissues automatically on multimodal brain images, which plays an important role in disease diagnosis, treatment planning...
The study aims to investigate how pre-editing based on controlled Chinese rules can be an effective approach to improving Chinese-to-English machine translation (MT) output. Based on the analysis of comparable texts, and by...
In order to solve the problems of high cost and difficult management of traditional agricultural planting, internet of things (IoT) technology was applied to realize real-time detection and intelligent management of crop growth...
This paper examines citizen satisfaction levels with local government contracted mobile platforms and applies two theories of the contracting relationship to them: principal-agent and stewardship theory. It uses survey data to...
Resource utilization not only meets the needs of economic development, but also has a far-reaching negative impact on the environment. Environmental regulation is regarded as the key measure to solve environmental pollution....
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...
This article describes how current research on the institutional entrepreneurship process tends to ‘design principles.' There is lack of research on mechanism and strategy of the institutional bricolage, especially for Internet...
The factors that affect formation and dissemination of public opinion have been studied for a long time. However, the findings are disparate and fragmented, given the characteristics of netizens and new media in the Big Data...
Since the explosive growth of we-medias today, personalized recommendation is playing an increasingly important role to help users to find their target articles in vast amounts of data. Deep learning, on the other hand, has...
Studies have focused on elucidating the sharing behavior of media users. However, few studies have specifically investigated users' health information sharing behavior in the social media context, especially WeChat. This study...
Recently, the spread of videos forged by deepfake tools has been widely concerning, and effective ways for detecting them are urgently needed. It is known that such artificial intelligence-aided forgery makes at least three...
In order to detect corn diseases accurately and quickly and reduce the impact of corn diseases on yield and quality, this paper proposes an improved object detection network named YOLOX-Tiny, which fuses convolutional attention...
Empirical studies have shown that China's Air Pollution Prevention and Control Law (APPCL2000), as an environmental regulation, has significantly alleviated the air pollution problem and improved the TFP of air polluting...
To improve the anti-jamming performance of frequency hopping system in complex electromagnetic environment, a Deep Q-Network algorithm with priority experience replay (PER) based on Pareto samples (PPER-DQN) is proposed, which...
Research has identified the significant effect of new ventures’ signaling information management on their ability to secure private equity financing. This study adopts an integrated signaling and screening perspective to...
In summary, firstly, a method for establishing a portfolio model is proposed based on the risk management theory of the financial market. Then, a prediction model for CVaR is established based on the convolutional neural...
Digitalization profoundly affects organizational performance, especially in the financial industry, by disrupting established business models and providing new opportunities for value creation. The combination of advanced...