Results 31 to 40 of about 4,214,964 (288)

Data-Driven Software Security: Models and Methods [PDF]

2016 IEEE 29th Computer Security Foundations Symposium (CSF), 2016
Proceedings of the 29th IEEE Computer Security Foundations Symposium (CSF'16), Lisboa, PORTUGAL, June ...
openaire   +2 more sources

Mitigation of model error effects in neural network-based structural damage detection

Frontiers in Built Environment, 2023
This paper proposes a damage detection procedure based on neural networks that is able to account for the model error in the network training. Vibration-based damage detection procedures relied on machine learning techniques hold great promises for the ...
Federico Ponsi, Elisa Bassoli, Loris Vincenzi   +2 more
doaj   +1 more source

A data-driven method for modeling pronunciation variation [PDF]

Speech Communication, 2003
This paper describes a rule-based data-driven (DD) method to model pronunciation variation in automatic speech recognition (ASR). The DD method consists of the following steps. First, the possible pronunciation variants are generated by making each phone in the canonical transcription of the word optional. Next, forced recognition is performed in order
Judith M. Kessens, Catia Cucchiarini, Helmer Strik   +2 more
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Modeling Water Quality Parameters Using Data-driven Methods

مجله آب و خاک, 2017
Introduction: Surface water bodies are the most easily available water resources. Increase use and waste water withdrawal of surface water causes drastic changes in surface water quality.
Shima Soleimani, Omid Bozorg Haddad, Mojtaba Moravej   +2 more
doaj   +1 more source

Energy landscape analysis of neuroimaging data [PDF]

, 2017
Computational neuroscience models have been used for understanding neural dynamics in the brain and how they may be altered when physiological or other conditions change. We review and develop a data-driven approach to neuroimaging data called the energy
Ezaki, Takahiro, Masuda, Naoki, Ohzeki, Masayuki, Watanabe, Takamitsu   +3 more
core   +4 more sources

Data‐driven Methods for Modeling Social Perception [PDF]

Social and Personality Psychology Compass, 2011
Abstract How do we model the complexity of social perception? A major methodological problem is that the space of possible variables driving social perceptions is infinitely large, thus posing an insurmountable hurdle for conventional approaches.
Todorov, A.T., Dotsch, R., Wigboldus, D.H.J., Said, C.P.   +3 more
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An Approach To Mode and Anomaly Detection with Spacecraft Telemetry Data

International Journal of Prognostics and Health Management, 2016
This paper discusses a mixed method that combines unsupervised learning methods and human expert input for analyzing telemetry data from long-duration robotic space missions.
Gautam Biswas, Hamed Khorasgani, Gerald Stanje, Abhishek Dubey, Somnath Deb, Sudipto Ghoshal   +5 more
doaj   +1 more source

Comparison of Data-Driven Reconstruction Methods for Fault Detection [PDF]

, 2015
International ...
Baraldi, Piero, Di Maio, Francesco, Genini, Davide, Zio, Enrico   +3 more
core   +3 more sources

A Geometric Significance-Aware Deep Mutual Learning Network for Building Extraction from Aerial Images

Drones
Knowledge-driven building extraction method exhibits a restricted adaptability scope and is vulnerable to external factors that affect its extraction accuracy.
Ming Hao, Huijing Lin, Shilin Chen, Weiqiang Luo, Hua Zhang, Nanshan Zheng   +5 more
doaj   +1 more source

Small-Scale Zero-Shot Collision Localization for Robots Using RL-CNN

Applied Sciences, 2023
For safety reasons, in order to ensure that a robot can make a reasonable response after a collision, it is often necessary to localize the collision. The traditional model-based collision localization methods, which are highly dependent on the designed ...
Haoyu Lin, Ya’nan Lou, Pengkun Quan, Zhuo Liang, Dongbo Wei, Shichun Di   +5 more
doaj   +1 more source