case-based data fusion
An Agent-Based Approach for Data Fusion in Homeland Security
... for data fusion in Homeland ...of data in ...of data in order to provide useful ...of data extracting or revealing relations among data and able to produce information easily ...
6
Data Fusion Method Based on Adaptive Kalman Filtering
... the fusion center, while hierarchical architecture runs its own filter and reports the state and uncertainty to the fusion ...for fusion of arbitrary filters, for example KF with particle filter, and ...
9
Multimodal Approach for Malware Detection
... level fusion using network traffic data and system logs, the baseline feature vector was created by combining the system logs-based features and the commonly used network traffic-based ...
177
Enhancing the effectiveness of ligand-based virtual screening using data fusion
... 82-85] but the first such report in the chemoinformatics area was a simulation study by Wang and Wang [86]. Each of a set of 5000 hypothetical compounds was assigned a random number representing its experimental binding ...
20
A Novel Voronoi Based Particle Filter for Multi Sensor Data Fusion
... The field test data was collected by installing various equipments in a test vehicle [24]. These include a Cross- bow IMU 300CC-100, reference high grade Honeywell IMU-HG1700, Novatel OEM GPS receivers and com- ...
8
Ammunition Consumption Prediction Method Based on Data Fusion
... Estimated data on traditional ammunition consumption are often derived from performance tests under a single specific ...the case of small sample size, is a hot issue in current ...
9
In Silicotarget fishing: addressing a “Big Data” problem by ligand-based similarity rankings with data fusion
... for comparison. Since SEA calculates the set-wise simi- larity among ligand sets, it would not be statistically reli- able if the ligand sets comprising fewer than ten ligands. In practice, it is suggested that the ...
14
Semantic Segmentation Based Remote Sensing Data Fusion on Crops Detection
... In the case of the pasture and bare land classes the model is able to distinguish some plantation with a low level of accuracy below to 75%. The GI results show how large fields of different crops are properly ...
12
Obstacle Detection Based on Heterogeneous Data Fusion
... An experiment are explained in this section to verify the effect of proposed method. Using gray scale transformation and frame difference method for the color image, then using the top and bottom hat transform to enhance ...
5
Hybrid Data and Decision Fusion Techniques for Model-Based Data Gathering in Wireless Sensor Networks
... The simple computation of the arithmetic average of the parameter estimates may have some drawbacks, since the estimates from some of the nodes can be less reliable than others. Our experiments show that the SNR is not ...
5
A NEXT-GEN DATA FUSION ? BIG DATA FUSION
... fusing data in visual sensor ...peers. Data fusion is performed autonomously, with each node accounting for its local information and the information received from its ...Decentralized data ...
12
Information Fusion towards Multi-sensor Data using Cognitive Computing Approach
... information fusion from multi-sensor data is difficult to design with traditional software development approach which uses major software packages and traditional data ...information fusion ...
10
Ligand-based virtual screening using a genetic algorithm with data fusion
... of data fusion, which is a method for combining the information gained from different sensors to achieve an effective or improved decision when compared to that achievable when only a single sensor is ...
17
A common data fusion framework for space robotics : architecture and data fusion methods
... fused data products to ...localisation data into the format required by OG2, (3) Interface with the OG4 Instrument Control Unit (ICU) to configure a limited set of operational modes, (4) Interface with the ...
8
Multi-sensor data fusion for geohazards early warning system – an adapted process model
... nonhomogeneous conditions have earned much attention from geotechnical engineers who were incapable of the usefulness of linear elastic analysis of stresses and movements in earth masses (Duncan, 1996b). In general, the ...
165
Data mining and fusion
... to data fusion and mining for DIID are wide-ranging and include biosensing, remote sensing, global positioning systems (GPS) and tracking, web content, and hospital records, to name but a ...what ...
39
A decision fusion method based on multiple support vector machine system for fusion of hyperspectral and LIDAR data
... decision fusion strategy has been successfully applied in diverse fields ranging from pattern recognition (handwritten digit/character recognition and image recognition), to medical diagnosis and machine fault ...
14
A Comparative Review of Manifold Learning Techniques for Hyperspectral and Polarimetric SAR Image Fusion
... versatile data sources for a wide range of applications such as land use land cover ...the fusion of these two data sources receive less attention than many other, because of their scarce data ...
28
Centrifugal Casting Technology for Cylinder Liner Based on Data Fusion Technology
... Data fusion algorithm is also named as multi-sensor data fusion ...roles. Data fusion technology is based on the independent inspection information acquired by various ...
11