Results 231 to 240 of about 27,052,763 (294)

A 67-110 GHz Multi-Carrier Communication Front End Based on Broadband Diplexer and Filtering Waveguide-to-Microstrip Transitions. [PDF]

Micromachines (Basel)
Zhi Y, Zhong Y, Zhang B, Fan Y, Ou Z, Qiao J.   +5 more
europepmc   +1 more source

Effect of Center Determination Method, Point Cloud Filtering and Cross-Section Type on the Accuracy of Tree Stem Volume Estimation Using Laser Scanning. [PDF]

Sensors (Basel)
Kúdela P, Dominka MJ.
europepmc   +1 more source

Machine Learning-Driven Prediction and Design Guidance for Asphalt Concrete Using Marshall Stability and Indirect Tensile Strength. [PDF]

Materials (Basel)
Xing J, Tan X, Guo M, Guo P, Wang Y, Jin D.   +5 more
europepmc   +1 more source

Automatic Detection Method for Shield Tunnel Segment Dislocation Based on Facility Point Cloud Removal and Segment Segmentation. [PDF]

Sensors (Basel)
Zhang K, Li W, Zhang Q, Duan W, Zhang S, Shi J, Liu W.   +6 more
europepmc   +1 more source

SpacerScope: binary-vectorized, genome-wide off-target profiling for RNA-guided nucleases without prior candidate-site bias. [PDF]

Brief Bioinform
Qu Y, Wang Y, Wang Y, Tang H, Chen Q.
europepmc   +1 more source

An MPEG-7 scheme for semantic content modelling and filtering of digital video [PDF]

Multimedia Systems, 2006
Part 5 of the MPEG-7 standard specifies Multimedia Description Schemes (MDS); that is, the format multimedia content models should conform to in order to ensure interoperability across multiple platforms and applications.
Harry Agius, Marios Angelides
exaly   +2 more sources

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Content-based spam filtering

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010
The growth of email users has resulted in the dramatic increasing of the spam emails. Helpfully, there are different approaches able to automatically detect and remove most of these messages, and the best-known ones are based on Bayesian decision theory and Support Vector Machines.
Tiago A. Almeida 0001, Akebo Yamakami
openaire   +2 more sources

Unifying collaborative and content-based filtering

Twenty-first international conference on Machine learning - ICML '04, 2004
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a novel, unified approach that systematically integrates all available training information such as past user-item ratings as well as attributes of items or users to learn a ...
Basilico, J., Hofmann, T.
openaire   +2 more sources

Content based SMS spam filtering

Proceedings of the 2006 ACM symposium on Document engineering, 2006
In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are increasingly revealing as a problem of importance, specially the spam on Instant Messaging services (the so called SPIM), and Short Message Service (SMS) or mobile spam.Like email spam, the SMS spam problem can be approached with ...
José María Gómez Hidalgo, Guillermo Cajigas Bringas, Enrique Puertas Sanz, Francisco Carrero García   +3 more
openaire   +1 more source

Breaking and fixing content-based filtering

2017 APWG Symposium on Electronic Crime Research (eCrime), 2017
We demonstrate a vulnerability in existing content-based message filtering methods, showing how an attacker can use a simple obfuscator to modify any message to a homograph version of the same message, thereby avoiding digest and signature based detection methods.
Mayank Dhiman, Markus Jakobsson, Ting-Fang Yen   +2 more
openaire   +2 more sources