… techniques were applied to video streams to detect an array of obstacles. Notably, even …
convolutional neural networks such as WearNet are showing remarkable classification …

… using neural network (… optical communication and IWDM based FBG sensor system for
data transmission and measurement of strain. The result of this paper is discussed by classifying …

… neural network architectures to optimize our classification … media are traditionally considered
as optical obstructions to be … of signal distribution on the image sensor, we examine the …

… the feasibility of neural network identity fusion techniques for classifying vehicles from …
unattended ground sensors. A high fidelity computer simulation called Sensor Evaluation Model (…

… by reducing obstructions from ground-level objects [1-3]. … a neural network capable of
detecting and classifying UAVs … of passive RF sensing using a distributed network of sensors to …

… of sensor networks with optical and wireless access networks to augment animal-human
cohabitation. Sensor networks … using a neural network-based animal classification algorithm. …

… A neural network (NN) method was applied to Landsat and … presence of shadows from
obstructions. Such shadows tend … oil pixels in optical imagery, and for further classifying them into …

… of observations from radar and optical sensors. Radar … solar phase angle and Earth obstruction.
Each of these events interrupts … from the classification algorithms employed in this study. …

… is obstructive sleep apnea/hypopnea syndrome (OSAHS) [10]. OSAHS is characterized by
repetitive upper airway obstructions … provides information about the sensor connection status. …

… contrasts, lighting conditions, obstructions, and many other … classification techniques [1, 2]
to quickly (sub 50 ms.) classify … vision system on a stock drone with no additional sensors on …