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Papers by PACHHAIAMMAL PRIYA M
Special Issue of the 4th International Symposium on Advanced Materials and Nanotechnology (iSAMN 2020)
Concurrency and Computation: Practice and Experience
Machine Learning is used in many data analytics problems to predict the future with more accuracy... more Machine Learning is used in many data analytics problems to predict the future with more accuracy. The prediction of the trends of stocks and index prices are important issues to market participants. One of the best important factor is Stock market which fascinates the money makers to make the investment so that there is a development of financial growth across the country. Stock exchanging volume incorporates the quantity of parts purchased and sold which is communicating in regular routine i.e, daily basis. In the proposed work, the main objective is to predict the trend of Facebook stock exchange using s and p indexes by using various Machine Learning algorithms. To achieve the results, the suggested work uses a supervised Machine Learning algorithm. At the same time the arcade of Facebook stock is predicted in terms of either positive or negative. The result shows that it is possible to effectively predict the performance of Facebook stock exchanges.
Future of brain science is mainly focused on connectivity. Scientists have found that a cognitive... more Future of brain science is mainly focused on connectivity. Scientists have found that a cognitive function involves interactions between different brain regions in the state of rest. The image generating methods, such as EEG and fMRI, provide information on the intrinsic brain activity that is they demonstrate the connections of the brain areas within various regions that requires effective and efficient data mining techniques to determine the brain connectivity pattern associated with clinical rigidity to distinguish healthy brains from pathological brains from a number of brains. Clustering techniques are used to find the similar interaction patterns among brain regions and hence to identify the disorders in the brain. The aim of this study is to analyze and mine the various connectivity links for brain disorders and structure learning algorithms is studied for the interactions.
Vision is one of the very essential human senses and it plays the major role in human perception ... more Vision is one of the very essential human senses and it plays the major role in human perception aboutsurrounding environment. The traditional and oldest mobility aids for persons with visual impairments are the walking cane (also called white cane or stick) and guide dogs. The most important drawbacks of these aids are necessary skills and training phase, range of motion and very little information conveyed. With the rapid advances of modern technology, both in hardware and software front have brought potential to provide intelligent navigation and language capabilities. In proposed system we use camera to capture the image then the image will be processed to extract the features of the object using two algorithms. The simulation results using SIFT algorithm and the SOBEL algorithm is used to extract edge key points matching showed good accuracy for detecting objects. Object detection deals with extracting embedded details, patterns and their relationship in images. The captured im...
Neural Processing Letters
Special Issue of the 4th International Symposium on Advanced Materials and Nanotechnology (iSAMN 2020)
Concurrency and Computation: Practice and Experience
Machine Learning is used in many data analytics problems to predict the future with more accuracy... more Machine Learning is used in many data analytics problems to predict the future with more accuracy. The prediction of the trends of stocks and index prices are important issues to market participants. One of the best important factor is Stock market which fascinates the money makers to make the investment so that there is a development of financial growth across the country. Stock exchanging volume incorporates the quantity of parts purchased and sold which is communicating in regular routine i.e, daily basis. In the proposed work, the main objective is to predict the trend of Facebook stock exchange using s and p indexes by using various Machine Learning algorithms. To achieve the results, the suggested work uses a supervised Machine Learning algorithm. At the same time the arcade of Facebook stock is predicted in terms of either positive or negative. The result shows that it is possible to effectively predict the performance of Facebook stock exchanges.
Future of brain science is mainly focused on connectivity. Scientists have found that a cognitive... more Future of brain science is mainly focused on connectivity. Scientists have found that a cognitive function involves interactions between different brain regions in the state of rest. The image generating methods, such as EEG and fMRI, provide information on the intrinsic brain activity that is they demonstrate the connections of the brain areas within various regions that requires effective and efficient data mining techniques to determine the brain connectivity pattern associated with clinical rigidity to distinguish healthy brains from pathological brains from a number of brains. Clustering techniques are used to find the similar interaction patterns among brain regions and hence to identify the disorders in the brain. The aim of this study is to analyze and mine the various connectivity links for brain disorders and structure learning algorithms is studied for the interactions.
Vision is one of the very essential human senses and it plays the major role in human perception ... more Vision is one of the very essential human senses and it plays the major role in human perception aboutsurrounding environment. The traditional and oldest mobility aids for persons with visual impairments are the walking cane (also called white cane or stick) and guide dogs. The most important drawbacks of these aids are necessary skills and training phase, range of motion and very little information conveyed. With the rapid advances of modern technology, both in hardware and software front have brought potential to provide intelligent navigation and language capabilities. In proposed system we use camera to capture the image then the image will be processed to extract the features of the object using two algorithms. The simulation results using SIFT algorithm and the SOBEL algorithm is used to extract edge key points matching showed good accuracy for detecting objects. Object detection deals with extracting embedded details, patterns and their relationship in images. The captured im...
Neural Processing Letters