Queryll: Java Database Queries through Bytecode Rewriting

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Analytics on modern data analytic and data warehouse systems often need to run large complex queries on increasingly complex database schemas. A lot of progress has been made on executing such complex queries using techniques like scale out query processin ...

As the data volume grows, reducing the query execution times remains an elusive goal. While approximate query processing (AQP) techniques present a principled method to trade off accuracy for faster queries in analytics, the sample creation is often consid ...

A central task in high-level synthesis is scheduling: the allocation of operations to clock cycles. The classic approach to scheduling is static, in which each operation is mapped to a clock cycle at compile-time, but recent years have seen the emergence o ...

Modern data analytical workloads often need to run queries over a large number of tables. An optimal query plan for such queries is crucial for being able to run these queries within acceptable time bounds. However, with queries involving many tables, find ...

Interfaces between peptides and metallic surfaces are the subject of great interest for possible use in technological and medicinal applications, mainly since organic systems present an extensive range of functionalities, are abundant, cheap, and exhibit l ...

Database workloads have significantly evolved in the past twenty years. Traditional database systems that are mainly used to serve Online Transactional Processing (OLTP) workloads evolved into specialized database systems that are optimized for particular ...

We present a general method for imputing missing information in the Worldwide Patent Statistical Database (PATSTAT) and make the resulting datasets publicly available. The PATSTAT database is the de facto standard for academic research using patent data. C ...

This database is meant to evaluate the performance of denoising and delineation algorithms for PPG signals affected by noise. The noise generator allows applying the algorithms under test to an artificially corrupted reference PPG signal and comparing its ...

The growing demand for data-intensive decision support and the migration to multi-tenant infrastructures put databases under the stress of high analytical query load. The requirement for high throughput contradicts the traditional design of query-at-a-time ...

With the increased presence of wearables, photoplethysmography (PPG) is a promising alternative to electrocardiography (ECG) for the monitoring of physiological parameters related to cardiovascular diseases. However, the evaluation of PPG-based methods is ...

Current studies and performance labels focus mainly on the operational energy demand of buildings due to heating, cooling, ventilation, lighting, and hot water, but they rarely account for embodied impacts. Performing a life cycle assessment (LCA) on an en ...

Queryll: Java Database Queries through Bytecode Rewriting

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Characterization and prediction of peptide structures on inorganic surfaces

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Imputation of missing information in worldwide patent data

Synthetic realistic noise-corrupted PPG database and noise generator for the evaluation of PPG denoising and delineation algorithms

Scalable Multi-Query Execution using Reinforcement Learning

Interbeat Interval Detection from Synthetic Photoplethysmography Signals

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