… , fle ible em eeig data acquisition and information production, … , warm surface removal and
hotspot clustering, etc. The BIRD … image compression algorithm with compression ratio up to 7…

… This model may be extended and applied to data analysis such as gear contact fatigue tests…
window and Dijkstra's multi-objective adaptive clustering genetic algorithm. According to the …

… Data analysis A total of 372 manuscripts regarding basic cellular studies were retrieved …
For instance, α5β3 integrins can cluster with the treatment of fluid flow in osteoblast and its …

Maritime behavior detection is critical for maritime surveillance and management. It is important
for ship’s safe sailing, normal production at ports, marine environmental protection, water …

… as pattern classification or clustering and image retrieval using the distance between
histograms. This paper explains the technique using the same voice data and feature parameters …

Quantifying topographic feature of watershed synthetically and scientifically is one of key
problems forwatershed soil erosion prediction model that is used everywhere. Fractal theory …

… wireless sensor networks (WSN), wireless transmission is a major contributor to power
consumption. Data gathering … adopt the Random Clustering method as their clustering algorithm, …

… Wireless sensor network consist of a large number of nodes with limited battery power, …
The node with highest data correlation acts as cluster head that is responsible for data collection …

… , we apply compressive sensing into wireless sensor network for … methodology is named
clustered compressive sensing. Our … a compressive sensing based data gathering scheme in …

… consumption for data acquisition in Wireless Sensor Network (… energy consumption optimization
for data acquisition algorithm is … Clustering and compressive data gathering in wireless …