Optimization learning of hidden Markov model using the bacterial foraging optimization algorithm for speech recognition
Nowadays, the speech recognition applications can be found in several activities, and their existence as a field of study and research lasts for a long time. Although, many studies deal with different problems, in security-related areas, biometric ...
Minimum square distance thresholding method applying gray-gradient co-occurrence matrix
In image thresholding segmentation, gray level of pixels is the basic element to describe images. Besides, the gradient information of pixels is also a key feature to represent image space distribution. Therefore, the co-occurrence probability of ...
Automatic segmentation algorithm for breast cell image based on multi-scale CNN and CSS corner detection
As the shapes of breast cell are diverse and there is adherent between cells, fast and accurate segmentation for breast cell remains a challenging task. In this paper, an automatic segmentation algorithm for breast cell image is proposed, which ...
Literature review and analysis on big data stream classification techniques
Rapid growth in technology and information lead the human to witness the improved growth in velocity, volume of data, and variety. The data in the business organizations demonstrate the development of big data applications. Because of the ...
Identification of myocardial infarction from analysis of ECG signal
Many heart diseases can be identified and cured at an early stage by studying the changes in the features of electrocardiogram (ECG) signal. Myocardial Infarction (MI) is the serious cause of death worldwide. If MI can be detected early, the death ...
Recognition of human emotion with spectral features using multi layer-perceptron
For emotion recognition, here the features extracted from prevalent speech samples of Berlin emotional database are pitch, intensity, log energy, formant, mel-frequency ceptral coefficients (MFCC) as base features and power spectral density as an ...
A trust management model based on NSGA-II in mobile grid system
Mobile Grid network connects large number of mobile devices like smartphones, tablets, PDAs, wireless digital medical equipment’s etc for the purpose of sharing their resources and performing the task collaboratively and cooperatively. The mobile ...
Prediction of runoff using BPNN, FFBPNN, CFBPNN algorithm in arid watershed: A case study
Here, an endeavor has been made to predict the correspondence between rainfall and runoff and modeling are demonstrated using Feed Forward Back Propagation Neural Network (FFBPNN), Back Propagation Neural Network (BPNN), and Cascade Forward Back ...
A robust intrusion detection system using machine learning techniques for MANET
Recent advancement in technologies such as Cloud, Internet of Things etc., leads to the increase usage of mobile computing. Present day mobile computing are too sophisticated and advancement are reaching great heights. Moreover, the present day ...
Economic victimisation of convict’s family: Statistical analysis through SPSS
In new age scenario Prisons are meant not only to punish the convict but also correct the situation and habits of the convicts, who is responsible for inflicting harm on the victim. But family members of the convict are also the victim in the ...