Data-driven stuck pipe prediction and remedies

Drilling Stuck Pipe Prediction in Iranian Oil Fields: An Artificial Neural Network Approach

A Data-Driven Approach for Event Prediction

When given a single static picture, humans can not only interpret the instantaneous content captured by the image, but also they are able to infer the chain of dynamic events that are likely to happen in the near future. Similarly, when a human observes a short video, it is easy to decide if the event taking place in the video is normal or unexpected, even if the video depicts a an unfamiliar p...

Data Driven Smartphone Energy Level Prediction

The body of mobile applications is growing at a near-exponential rate; many applications are increasing in both scale, complexity, and their demand for energy. The energy density of smartphone batteries is increasing at a comparably insignificant rate, and thus inhibits the practicality of these applications. Despite the importance of energy to mobile applications, energy is rarely considered b...

Data-Driven Mortality Prediction for Trauma Patients

Trauma is the leading cause of death between the ages of 1 to 44. A large number of these deaths occur within days of the arrival of the patient at the hospital. Accurate prediction of the outcomes of trauma patients and the identification of a few key predictors would be highly valuable. In this paper we focus on (1) the prediction of mortality within any given time frame after arrival, and (2...

A data-driven protein-structure prediction algorithm

Protein-structure elucidation is currently slow and expensive by physical means and current prediction algorithms either lack accuracy or scope. A data-driven dynamic-programming algorithm for predicting protein structures is presented. Observed conformations of short amino-acid chains in the Protein Data Bank are reduced to canonical conformations using singular value decomposition to remove c...