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To improve the early diagnosis and treatment of lung diseases automated lung segmentation from CT images is a crucial task for clinical decision. The segmentation of the lung region from the CT scans is a very challenging task due to the irregular shape and size of lungs, low contrast and fuzzy boundaries of the lung. The manual segmentation of lung CT images is a laborious task. Therefore, various...
In wireless sensor networks(WSN) to increase the network lifetime by the help of Hybrid PEGASIS along with Sink Mobility (HPSM). To enlarge the network lifespan of wireless sensor is affected by the multi-head link, multi-link concept, and the sink mobility by HPSM. Thus, we suggest Hybrid PEGASIS using Sink Mobility (HPSM) is a multi-link model having a sink mobility to achieve efficient energy consumption...
Plants are to be considered as one of the important things that plays a very essential role for all living beings exists on earth. But due to some unawareness and environment deterioration, some very rare plants are on the verge of extinction. Knowledge of rare leaves used for medicine and other plants is very critical in future. Leaf identification and classification plays a vital role for plant...
Detection of Emotion by analysis of speech is important for identification of emotional state of person. This can be done using ‘Linear Predictive Techniques(LPC)’, which has different parameters like pitch, vocal tract spectrum, formant frequencies, Duration, MFCC etc. which are used for extraction of features from speech. TEO-CB-Auto-Env is the method which is non-linear method of features extraction...
The adoption of cognitive radio wireless sensor networks be supposed to preserve developing, essentially in such a fields as a healthcare, logistic, scientific and a military applications. Yet, a sensor size or dimension represents a consequential constraint mainly in expressions of an energy autonomy and as a result of a life period for the batteries which is so too tiny. Thus, the reason why a concentrated...
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