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Automatic parameter recommendation for practical API usage
We propose an automated technique, called Precise, to address this problem. Expand
Inferring air pollution by sniffing social media
We propose a complementary approach to monitor Air Quality Index (AQI): using machine learning models to estimate AQI from social media posts. Expand
The Case Against Specialized Graph Analytics Engines
Graph analytic processing has started to become a nearly ubiquitous component in the enterprise data analytics ecosystem. Expand
Efficient location-based conditional privacy-preserving authentication scheme for vehicle ad hoc networks
An efficient location-based conditional privacy-preserving authentication scheme without the bilinear pairing and tamper-proof device is proposed for vehicle ad hoc networks. Expand
Understanding users' attitude toward mobile payment use: A comparative study between China and the USA
This study extends prior studies of attitude toward mobile payment use through proposing that security measures and payment culture are key determinants of perceived security (PS) and trust and examining the role of PS and trust on the attitude. Expand
G2G information sharing among government agencies
We developed a four-layer model of G2G information sharing across horizontal functional agencies and used it to conduct an analysis of sites within Chinese contexts. Expand
An Approach to Web Service Discovery Based on the Semantics
The research work in this paper focuses on solving the critical problems in Web Service discovery such as how to locate functionality-desired Web Services and how to select the best one from large numbers of functionality-similar Web Services. Expand
A robotic coach architecture for multi-user human-robot interaction (RAMU) with the elderly and cognitively impaired
The population in the US is aging rapidly. By 2030, twenty percent of the US population will be 65 years or older. Both physical and mental health conditions impact older adults' overall quality ofExpand
A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization
In real-world applications, there are many fields involving dynamic multi-objective optimization problems (DMOPs), in which objectives are in conflict with each other and change over time or environments . Expand
Integration of improved predictive model and adaptive differential evolution based dynamic multi-objective evolutionary optimization algorithm
A novel dynamic multi-objective optimization evolutionary algorithm is proposed in this paper to track the Pareto-optimal set of time-changing multi-Objective optimization problems. Expand