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An efficient privacy-preserving point-of-interest recommendation model based on local differential privacy
With the rapid development of point-of-interest (POI) recommendation services, how to utilize the multiple types of users’ information safely and...
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Interest Point Detection at Digital Image Based on Averaging of Function
Digital image processing is a fundamental task of computer vision. It can be realized with different purposes, in particular, images can be compared,...
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SSIDs as a Source for Point of Interest Suggestion in Smart Cities
Service Set Identifiers (SSID) in WLANs have been invariably present since the adoption of IEEE 802.11 WLANs. Mostly, SSIDs meant to be just a name...
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Complete interest propagation from part for visual relation of interest detection
Visual relation detection (VRD) is proposed to describe an image with visual relation triplets in the form of <subject, predicate, object>. As a...
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Point-of-Interest Recommendation with User’s Privacy Preserving in an IoT Environment
With the popularization of smart devices and the rapid development of Internet of Things (IoT), location-based social networks (LBSNs) are growing...
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EV-share development: speed vs interest to adopt
Transport is a notable source of greenhouse gas emissions. While the mobility habits of people have an effect on a large share of the emissions, the...
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Point cloud upsampling using deep self-sampling with point saliency
Point cloud upsampling is a process of increasing the point density to represent an object or environment effectively. Recent studies have focused on...
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Tourist Trajectory Data Warehouse: Event Time of Interest, Region of Interest and Place of Interest
The study of tourist movements and their behavior becomes an important issue. This paper presents a tourist trajectory model based on Event Time of...
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Learning Impact of Non-personalized Approaches for Point of Interest Recommendation
Location-based social networks (LBSNs) have impacted our lives recently to a great deal. Typical location-based social networking sites have...
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Floating-Point Systems
This chapter introduces the concept of floating-point numbers and how to build systems that use floating-point representations to perform...
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Floating-Point Systems
This chapter introduces the concept of floating-point numbers and how to build systems that use floating-point representations to perform...
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A multi-criteria point of interest recommendation using the dominance concept
The learning similarity between users and points of interests (POIs) is an important function in location-based social networks (LBSN), which could...
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Weather Conditions of Interest
The dominant factor for operations in polar and sub-polar regions is the occurrence of extremely low temperatures and the associated formation of...
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8 Linear Two-Point Boundary Value Processes
The construction of estimators for linear two-point boundary value processe s (TPBVP’s) has been receiving greater attention in recent years [1–4]....
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Basic Floating-Point Operators
This chapter shows how to build the operators for the basic operations (addition and subtraction, multiplication, division, and square root) in...
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Analysis of the Adaptability of Key Point Detection Methods on 3D Point Cloud
Machine vision systems using 3D point clouds are becoming important for production management and quality control in the printing and packaging...
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User interest modeling and collaborative filtering algorithms application in English personalized learning resource recommendation
In order to solve the problem that the current traditional English classroom teaching in large classes has higher teaching efficiency, but it is...
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On estimating the interest satisfaction ratio in IEEE 802.15.4-based named-data networks
Named-Data Networking (NDN) over Low Power and Lossy Networks (LLNs), employing IEEE 802.15.4 communication technology, is projected to provide...
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Long-short interest network with graph-based method for sequential recommendation
In recommender systems, sequence information is crucial. Sequence data contains user preferences and reflects the evolution of user interests over...
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Point Cloud Data Augmentation for Linear Assets
Machine learning algorithms are creating new approaches to address issues faced by the industry. These methods are data hungry for the right quality...