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MIT researchers develop an AI model that can detect future lung cancer risk（图）
人工智能模型 检测肺癌风险 深度学习
2023/6/20
The name Sybil has its origins in the oracles of Ancient Greece, also known as sibyls: feminine figures who were relied upon to relay divine knowledge of the unseen and the omnipotent past, present, a...
Artificial intelligence model can detect Parkinson’s from breathing patterns（图）
人工智能模型 呼吸模式 帕金森氏症
2023/6/20
Parkinson’s disease is notoriously difficult to diagnose as it relies primarily on the appearance of motor symptoms such as tremors, stiffness, and slowness, but these symptoms often appear several ye...
Cancer cells can have thousands of mutations in their DNA. However, only a handful of those actually drive the progression of cancer; the rest are just along for the ride.
Many of us easily recognize emotions expressed in others’ faces. A smile may mean happiness, while a frown may indicate anger. Autistic people often have a more difficult time with this task. It’s unc...
2017软件模型检验国际研讨会（International SPIN Symposium on Model Checking of Software）
2017 软件模型检验 国际研讨会
2017/6/29
Welcome to SPIN 2017, the 24th International SPIN Symposium on Model Checking of Software! SPIN 2017 will be held in Santa Barbara, California on July 13 and 14.
Computer Model Is ‘Crystal Ball’ for E. Coli Bacteria
Computer Model Crystal Ball E. Coli Bacteria
2016/11/4
It’s difficult to make predictions, especially about the future, and even more so when they involve the reactions of living cells — huge numbers of genes, proteins and enzymes, embedded in complex pat...
Model-Based Motion Estimation for Synthetic Animations
Synthetic Animations Model-Based Motion
2016/5/24
One approach to performing motion estimation on synthetic
animations is to treat them as video sequences
and use standard image-based motion estimation methods.
Alternatively, we can take advantage...
EXTENDING A PEDESTRIAN SIMULATION MODEL TO REAL-WORLD APPLICATIONS
3D data model spatial DBMS pedestrian simulation
2016/2/29
Although recent advances in sensor technologies draw our attention to indoor spaces, no fully functional indoor 3D models are
available as of now. Researchers in 3D modeling field have focused on rep...
Sense, Model and Identify the Load Signatures of HVAC Systems in Metro Stations
Sense Model Identify Load Signatures HVAC Systems Metro Stations
2016/1/22
The Heating Ventilation and Air Conditioning(HVAC) systems in subway stations are energy consuming giants,each of which may consume over 10, 000 Kilowatts per day for cooling and ventilation. To save ...
DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization
A Dynamic Diffusion Model Constrained Influence Maximization
2016/1/22
Studying the spread of phenomena in social networks is critical but still not fully solved. Existing influence max-imization models assume a static network, disregarding its evolution over time. We in...
Describing and Computing Model of the Topological Relation in Spherical Surface Quaternary Triangular Mesh
Spherical surface QTM Euler_number Topological relation
2015/12/3
Spherical surface QTM (Quaternary Triangular Mesh) is one of an efficient tool to deal with the global data because of its advantages of multi-resolution and hierarchy. Based on characters of spherica...
The Project of the Italian Culture Portal. A Standard Based Model for Interoperability Amongst Cultural Heritage Data Sources
Classification Cultural Heritage ata structures Interface Interoperability
2015/11/13
The paper describes the scientific and technical project carried out by SNS for the Italian Culture Portal, promoted by Italian Ministry of Cultural Heritage and Activities, as a media for knowledge a...
A probabilistic model for heading judgments from converging elements
optical flow motion parallax wayfinding
2015/8/13
This paper describes the mathematical basis and application of a probabilistic model for recovering the direction of camera trans-lation (heading) from optical flow. According to the theorem that head...
A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
Independent component analysis Natural images Neural networks Spatial vision
2015/8/10
The classical receptive fields of simple cells in the visual cortex have been shown to emerge from the statistical properties of natural images by forcing the cell responses to be maximally sparse, i....
Fast model predictive control using online optimization
Model predictive control application offline calculation network controller
2015/8/7
A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slow dynamics, where the sample time is measured in seconds or minutes. A wel...