The linear predictability of precipitation by Noel, Thomas M

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Electrocardiographic prediction of arrhythmias by Syed, Z., Scirica, B. M., Stultz, Collin M., Guttag, John V.

“…Information in electrocardiographic (ECG) signals is widely believed to have value in the short-term prediction of arrhythmias. This study evaluates the use of morphologic variability (MV), a recently proposed metric measuring subtle variability in the shape of ECG signals over long periods, to risk stratify patients for arrhythmia following non-ST-elevation acute coronary syndrome (NSTEACS). …”
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Sequential Event Prediction by Letham, Benjamin, Rudin, Cynthia, Madigan, David

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Sequential event prediction by Letham, Benjamin, Rudin, Cynthia, Madigan, David

“…In sequential event prediction, we are given a “sequence database” of past event sequences to learn from, and we aim to predict the next event within a current event sequence. …”
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Prediction with machine learning by Soh, Melvin Yong Sheng

“…Therefore, it is important to come up with a way to predict failures. Using Machine Learning, it is no longer a need for engineering to depend on their intuition or experience to predict malfunctions. …”
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Neighbouring prediction for mortality by Wang, Chou-Wen, Zhang, Jinggong, Zhu, Wenjun

“…We propose a new neighbouring prediction model for mortality forecasting. For each mortality rate at age x in year t, mx,t, we construct an image of neighbourhood mortality data around mx,t, that is, Ꜫmx,t (x1, x2, s), which includes mortality information for ages in [x-x1, x+x2], lagging k years (1 ≤ k ≤ s). …”
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User stance prediction by Gan, Kah Ee

“…We will be extending this project to the other sub-task of stance detection, which is stance prediction. The stance prediction's main objective is to identify the stance that towards an event has not occurred yet, or is a topic that a target user's or a target group of users' have not mentioned yet based on the past texts (tweets, posts, articles, comments, etc.) that is written by them. …”
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Solar irradiance prediction by Mohamad Salihin Bin Mohamad Kassim

“…However, to effectively use solar power, accurate forecasting of solar irradiance is crucial for predicting the output of solar PV systems and optimizing their operation for better system reliability. …”
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Prediction of price movement by Kua, Wee Liang.

“…There are different indicators and candlestick technical analysis to help with the prediction of price movement. The predictive power of candlestick patterns is studied in this report. …”
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Predictive maintenance software by Chee, Marilyn Hui Yian.

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Prediction of access failures by Deepa Narayan

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Prediction of movement of prices by Teo, Jacky Heng Fatt

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Predictive rating system by Ho, Mun Kit

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Network traffic prediction by Chow, Ming Hui

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Of predictive policing and punishment by Quek, Kelly Wan Wen

“…This paper will start off by looking at the current predictive policing tools in the United States and China, two of the most populous and technologically advanced countries in the world. …”
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Soil moisture prediction by , DWIDJOPUSPITO, Tohari, , Arturo A. Gomez

Delusional predictions and explanations by Parrott, M

“…In both cognitive science and philosophy, many theorists have recently appealed to a predictive processing framework to offer explanations of why certain individuals form delusional beliefs. …”

Predicting graphical passwords by Devlin, M, Nurse, JRC, Hodges, D, Goldsmith, M, Creese, S

“…In this paper, we focus on the PassPoints graphical-password scheme and investigate the extent to which these passwords might be predicted based on knowledge of the individual (e.g., their age, gender, education, learning style). …”

ON THE PREDICTION OF FORECAST SKILL by Palmer, T, Tibaldi, S

“…Using 10-day forecast 500 mb height data from the last 7 yr, the potential to predict the skill of numerical weather forecasts is discussed. …”

Predicting Graphical Passwords by Devlin, M, Nurse, J, Hodges, D, Goldsmith, M, Creese, S

“…In this paper, we focus on the PassPoints graphical-password scheme and investigate the extent to which these passwords might be predicted based on knowledge of the individual (e.g., their age, gender, education, learning style). …”