As the rapid development of China's e-commerce in recent years and underlying evolution adversarial spamming tactics, more sophisticated activities may carry out Chinese review websites. Empirical analysis, on recently crawled product reviews from a popular website, reveals failure many state-of-the-art spam indicators detecting collusive spammers. Two novel methods are then proposed: 1) KNN-based method that considers pairwise similarity two reviewers based their group-level relational...

The authors examine incumbent retailers' reactions to a Wal-Mart entry and the impact of these on sales. They compile unique data set that consists supermarkets, drugstores, mass merchandisers in vicinity seven entries, as well control stores not exposed entries. includes weekly store movement for 46 product categories before after each allows measure sales outcomes using before-and-after-with-control-group analysis. find that, overall, incumbents suffer significant losses result entry, but...

RFID technology provides an invisible 'visibility' to the end user for tracking and monitoring any objects that have been tagged. Research on application of in assembly lines overall production control has reported recently. This paper presents a novel research implementing guidance augmented reality environment. Aiming at providing just-in-time information rendering intuitive navigation, methodologies applying RFID, infrared-enhanced computer vision, inertial sensor is discussed this paper....

The advent of research into neural networks has led to the widespread utilisation deep learning methodologies in domain text sentiment analysis, owing their formidable data processing and pattern recognition capabilities. In recent years, Transformer its variant Bert have attracted considerable attention, performance been demonstrated be superior practice. However, it is important note that China's unique social media set characterised by a variety languages, distinct cultural backgrounds,...

In satellite video vehicle tracking, due to the tracking failure and loss caused by similar characteristics of target obstacle occlusion, respectively, traffic flow extraction accuracy is reduced. To address these issues, an improved method for based on kernelized correlation filter (KCF) was proposed. First, we introduced a multifeature fusion strategy into KCF discrete Fourier transform (DFT) framework enhance reduce drift jumps. Second, utilized Kalman trajectory prediction during...

Undertaking a PhD entails diverse and multi-faceted challenges as doctoral researchers enter distinct academic culture that requires transition to new level threshold of learning – with both knowledge acquisition production at the core. While are expected secure different dimensions knowledge, which necessitates meaningful ‘dialogue’ experts, colossal task is still ironically associated isolated experience somewhat limited postgraduate supervision provision. With extra concerns typically...

Most existing studies on next point-of-interest (POI) recommendation assume that users deliver certain check-ins over individual POIs. In reality, we typically obtain uncertain due to the presence of collective POIs, which are gathering places multiple POIs (e.g., shopping malls). On one hand, such hinder more accurate POI for transition vanishing issue; other poses challenge businesses select locate in complicated competition and cooperation relations between businesses. As such, these...

Abstract This paper presents an implementation of machining simulation in a real environment applying Augmented Reality (AR) technology. situ system allows machinist to analyze the process, adjust parameters, and observe results real‐time environment. Such is useful for machinists trainees during trial learning stages, allowing them experiment with different parameters on machine without having worry about possibilities tool breakages. Three research aspects, namely, tracking registration...

CNC machining simulation has been developed to validate NC codes and optimize the process. Conventional systems are usually performed in virtual environments, this limitation that operator needs transfer knowledge from software environment real environment. The ARCNC system is proposed paper where can observe situ between cutter a workpiece. design research problems addressed discussed paper, including tracking registration methods physical approach based on an enhanced dexel model.

This paper explores the development of an intelligent translation system for spoken English using Recurrent Neural Network (RNN) models. The fundamental principles RNNs and their advantages in processing sequential data, particularly handling time-dependent natural language are discussed. methodology constructing is outlined, covering key steps such as data preprocessing, model architecture design, training optimization. system's performance evaluated terms accuracy, fluency, real-time...

Machining process simulation and monitoring have been actively researched. However, technologies developed in these two areas not really employed the industries. Human operators are still vital factor any manufacturing processes. Augmented reality (AR), a recently technology that seamlessly combines virtual information real environment, has applied various applications. AR technology, as media between reality, operator digital world, yet machining field. This paper discusses possibilities...

Collaborative Filtering (CF) is the main technology in recommendation systems. It requires more users' private information to predict personal preferences, so exists risk of privacy disclosure. Differential Privacy (DP) a powerful privacy-preserving approach, and it has been widely applied CF-based system. However, comprehensive summary DP system lack although many CF algorithms have proposed. This paper reviews existing research based on principle application algorithms. We firstly...

This paper presents a novel implementation of machining simulation in real environment applying Augmented Reality (AR) technology. situ system allows machinist to analyze the process, adjust parameters, and observe results realtime environment. Such is useful for machinists trainees during trial learning stages, allowing them experiment with different parameters on machine without having worry about possibilities tool breakages. Two main functional modules system, namely, tracking...

Unattended object detection is a crucial task in visual surveillance systems. However, it challenging handling false alarms and miss rate. In this paper, two-stage method for the unattended proposed where first stage tries to detect all possible objects prevent detections by considering attributes of such as staticness, foregroundness, abandonment. This called proposal stage. second stage, our reduces with candidates obtaining from using deep learning similarity matching between background...