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Article
An AI-based framework for studying visual diversity of urban neighborhoods and its relationship with socio-demographic variables
This study presents a framework to study quantitatively geographical visual diversities of urban neighborhood from a large collection of street-view images using an Artificial Intelligence (AI)-based image seg...
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Article
VisualCommunity: a platform for archiving and studying communities
VisualCommunity is a platform designed to support community or neighborhood scale research. The platform integrates mobile, AI, visualization techniques, along with tools to help domain researchers, practition...
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Chapter and Conference Paper
Interactive Visualization and Capture of Geo-Coded Multimedia Data on Mobile Devices
In digital community applications, geo-coded multimedia data including spatial videos, speech, and geo-narratives are collected and utilized by community users and researchers from multiple fields. It is often...
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Article
Classifying crime places by neighborhood visual appearance and police geonarratives: a machine learning approach
The complex interrelationship between the built environment and social problems is often described but frequently lacks the data and analytical framework to explore the potential of such a relationship in diff...
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Chapter and Conference Paper
Data Mining and Visualization to Understand Accident-Prone Areas
In this study, we present both data mining and information visualization techniques to identify accident-prone areas, most accident-prone time, day, and month. Also, we surveyed among volunteers to understand ...
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Chapter and Conference Paper
Prediction of Traffic-Violation Using Data Mining Techniques
This paper presents the prediction of traffic-violations using data mining techniques, more specifically, when most likely a traffic-violation may happen. Also, the contributing factors that may cause more dam...
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Chapter and Conference Paper
Minimum Distortion Data Hiding
In this paper a new steganographic method is presented with minimum distortion, and better resistance against steganalysis. There are two ways to control detectability of stego message: one is less distortion,...
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Chapter and Conference Paper
Concurrent Covert Communication Channels
This paper introduces a new steganographic technique in which a set of concurrent hidden channels are established between a sender and multiple receivers. Each channel is protected by a separate key. The metho...
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Chapter and Conference Paper
An Analysis of Syndrome Coding
In this paper a detail analysis is presented based on BCH syndrome coding for covert channel data hiding methods. The experimented technique is nothing but a syndrome coding algorithm with a coset based approa...
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Chapter and Conference Paper
An Improved Steganography Covert Channel
An improved steganographic method is proposed in this paper. Two distinct methods are combined to achieve possibly high data hiding capability with high visual quality. The proposed method shifts the last n nonze...
