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Predictive Models to Estimate Carbon Stocks in Agroforestry Systems
organic matter carbon sequestration land use systems data mining technique random forest
2023/12/15
This study aims to assess the carbon stock in a pasture area and fragment of forest in natural regeneration, given the importance of agroforestry systems in mitigating gas emissions which contribute t...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Optimal semi-supervised subsampling via predictive inference
预测推理 最优 半监督子采样
2023/4/26
In big data era, subsampling or sub-data selection techniques are often adopted to extract a fraction of informative individuals from the massive data. Existing subsampling algorithms focus mainly on ...
Researchers develop predictive tools to tackle childhood disease outbreaks in Botswana（图）
Researchers predictive childhood disease outbreaks Botswana
2020/1/19
In 2006, more than 400 children under the age of 5 died during an outbreak of diarrheal disease in Botswana. In what was a 25-fold increase in disease mortality for this age group, citizens of the cou...
2018集成机器学习和预测模拟研讨会（lntegrating Machine Learning and Predictive Simulatio）
2018 集成机器学习和预测模拟 研讨会
2017/12/20
Industrial design and engineering, as well as healthcare, are facing unprecedented challenges with product complexity and increasingly faster innovation cycles. On the one hand, advances in computer m...
Model predictive control (MPC) has become the most popular advanced control method in use today. Its main attractive features are (i) optimization of a model forecast over the available actuators (ii)...
To protect integrated circuits against IP piracy, Physically Unclonable Functions (PUFs) are deployed. PUFs provide a specific signature for each integrated circuit. However, environmental variations,...
International Symposium “From empirical to predictive chemistry”
Materials Design Modeling in Drug Discovery
2016/7/26
We are pleased to announce an International Symposium “From Empirical to Predictive Chemistry” which will be held in Ekaterinburg on 26-30 September 2016. The Symposium is a satellite event of the XX ...
Does Structural Realism Provide the Best Explanation of the Predictive Success of Science?
Structural Realism Phlogiston Chemistry Scientific realism
2016/5/30
I examine Carrier’s and Ladyman’s structural realist (‘SR’) explanation of the predictive success of phlogiston chemistry. On their account, it succeeds because phlogiston chemists grasped that there ...
The Yin and the Yang of Prediction:An fMRI Study of Semantic Predictive Processing
Yin and the Yang of Prediction fMRI Semantic Predictive Processing
2016/5/3
Probabilistic prediction plays a crucial role in language comprehension. When predictions are fulfilled, the resulting facilitation allows for fast, efficient processing of ambiguous, rapidly-unfoldin...
A Predictive Coding Perspective on Beta Oscillations during Sentence-Level Language Comprehension
language comprehension neural oscillations beta predictive coding EEG MEG
2016/5/3
Oscillatory neural dynamics have been steadily receiving more attention as a robust and temporally precise signature of network activity related to language processing. We have recently proposed that ...
Delay-Aware Predictive Network Selection in Data Offloading
Delay-Aware Predictive Network Selection Data Offloading
2016/1/22
We tackle the network selection problem in operator-initiated mobile data offloading by considering both the predictive and non-predictive cases. For the non predictive case, we use the Lyapunov optim...
When Backpressure Meets Predictive Scheduling
Backpressure human behavior mobile optimal control prediction queueing
2016/1/22
Motivated by the increasing popularity of learning and predicting human user behavior in communication and computing systems, in this paper, we investigate the funda-mental benefit of predictive sched...
Increasingly, confidential medical records are being stored in data centers hosted
by hospitals or large companies. As sophisticated algorithms for predictive analysis on medical
data continue to be...
Predictive Models for Min-Entropy Estimation
Entropy estimation Min-entropy Random number generation
2015/12/29
Random numbers are essential for cryptography. In most
real-world systems, these values come from a cryptographic pseudorandom
number generator (PRNG), which in turn is seeded by an entropy
source....
RESEARCH ON KNOWLEDGE-BASED PREDICTIVE NATURAL RESOURCE MAPPING SYSTEM
Digital Mapping Thematic Maps Image Understanding Spatial Modeling Thematic Mapping Inventory
2015/12/23
Knowledge-based predictive mapping is a kind of mapping approach which links the existing geo-spatial data and knowledge to predict the status of unknown geographical phenomena. The knowledge reflects...