Results 71 to 80 of about 6,843 (278)
Parallel and Progressive Approaches for Skyline Query Over Probabilistic Incomplete Database
IEEE Access, 2018 The advanced productivity of the modern society has created a wide range of similar commodities. However, the descriptions of commodities are always incomplete. Therefore, it is difficult for consumers to make choices.
Yifu Zeng +4 more
doaj +1 more source
, 2016 Analyzing huge amounts of spatial data plays an important role in many emerging analysis and decision-making domains such as healthcare, urban planning, agriculture and so on.
Davari, Somaye, Ghadiri, Nasser
core +1 more source
Parallelizing Skyline Queries for Scalable Distribution [PDF]
, 2006 Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. Current skyline computation methods are restricted to centralized query processors, limiting scalability and imposing a single point of failure.
Wu, P +5 more
openaire +2 more sources
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads [PDF]
, 2011 Index tuning, i.e., selecting the indexes appropriate for a workload, is a crucial problem in database system tuning. In this paper, we solve index tuning for large problem instances that are common in practice, e.g., thousands of queries in the workload,
Ailamaki, Anastasia +2 more
core +1 more source
Chemoselective Sequential Polymerization: An Approach Toward Mixed Plastic Waste Recycling
Advanced Functional Materials, EarlyView.Inspired by biological protein metabolism, this study demonstrates the closed‐loop recycling of mixed synthetic polymers via ring‐closing depolymerization followed by a chemoselective sequential polymerizations process. The approach recovers pure polymers from mixed feedstocks, even in multilayer formats, highlighting a promising strategy to overcome a
Gadi Slor +5 more
wiley +1 more source
Efficient Reverse Skyline Processing over Sliding Windows in Wireless Sensor Networks
International Journal of Distributed Sensor Networks, 2015 Owning to the proliferation of cost-effective sensors, there has been an increased growth in a number of applications of wireless sensor networks (WSNs).
Jun-Ki Min
doaj +1 more source
MapReduce Algorithm for Location Recommendation by Using Area Skyline Query
Algorithms, 2018 Location recommendation is essential for various map-based mobile applications. However, it is not easy to generate location-based recommendations with the changing contexts and locations of mobile users.
Chen Li +5 more
doaj +1 more source
Toughening β‐Ga2O3 via Mechanically Seeded Dislocations
Advanced Functional Materials, EarlyView.β‐Ga2O3 is promising for next‐generation semiconductors but its brittleness limits flexible and high‐precision applications. Here, mechanically seeded dislocations introduced by surface deformation improved damage tolerance in (001) β‐Ga2O3. Nanoindentation and characterization show dislocations suppress cleavage cracks by enabling stable plastic ...
Zanlin Cheng +5 more
wiley +1 more source
The method for approximate continuous Skyline query based on privacy protection in road network
Journal of Big DataExisting road network continuous Skyline queries often neglect user location privacy and data privacy protection. This paper proposes a method for Approximate Continuous Skyline Query with Privacy Protection in road network (ACPP) environments to address
Song Li +3 more
doaj +1 more source