Neural

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    energy efficiency that in turn illustrates the network longevity. Many different algorithms have been employed for this purpose. In this paper we are going to enhance the energy efficiency of our WBAN network by using Neural Network (NN) along with the Genetic algorithm (GA). The neural network will provide the fitness value for our body node coordinator (BNC node that provides the entire data from the sensor nodes deployed on the body to the PC or laptop of the specialist) at a much faster rate and

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    Spina bifida is a birth defect called neural tube defects. Normally, the neural tube forms early in pregnancy and then is fully closed by the 28th day after conception. Babies with spina bifida, a portion of the tube don’t develop or close properly, causing a defect in the spinal cord and in the bones of the spine. Spina bifida occurs in different forms and severity. If treatment is necessary, it's done surgically, this doesn’t mean the problem is completely solved though. Symptoms Spina bifida

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    filtering methods, content-based filtering methods and deep neural networks with Restricted Boltzmann Machines (RBMs) for generating recommendations. The drawbacks of collaborative and content-based methods is analyzed and proof of concept is provided for the need of deep learning based recommender systems. We introduce RBM algorithm and its applications for use in generic recommendation generation and propose to implement a deep learning neural networks algorithms(RBM) to create

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    on feature production, it was noted that by generalising feature production and consumption (in the neural network), a lot of time could be saved in the long run. This meant when the feature space was to be expanded, it would be important to create the feature production in a scalable manner. Neural Network Expansion Secondly, the neural network would be extended from a simple input-output neural network to one with a variable number of inputs, layers, and hidden neurons. The addition of more layers

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    According to Gunhan and Arditi (2007), there were three types of contingencies, namely designer’s contingency, contractor’s contingency, and owner’s contingency. They claimed that the best method to predict contingency was to use previous experiences. They mentioned that a detailed study of four factors, namely site conditions, schedule constraints, project scope, and constructability issues could play an important role either in preventing the CO or reducing the chances of needing a big contingency

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    the chart represents those children born with the neural tube defects, and the purple portion refers to hose born without any kind of neural tube defect. According to this chart, more than half of the babies born during this experiment were born with neural tube defects. This result was skewed because all but three of the babies born to the group that did not take folic acid until after conception were born with

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    I am currently a senior majoring in Computer Science and Technology at the Communication University of China. I have attained a firm foundation in computer science and have already taken my first step towards research on artificial intelligence, which proves my commitment to this subject. I am applying to the Master of Science Program in Computer Science at the University of California, San Diego to continue my studies. My passion lies in Artificial Intelligence, stemming from my belief that it will

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    Abstract Lot of research has been done on Human Activity Recognition(HAR) in the last decade and HAR is expected to be future technology for e-health systems. Here, I discuss various models built using SAS® Enterprise Miner™ 14.1, on a free public domain dataset containing165,633 observations and 19 attributes and compare each model with another. Data used in this discussion, represents the metrics of accelerometers mounted on waist, left thigh, right arm and right ankle of 4 individuals performing

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    Neural technology is a field of engineering that specializes in taking information that is present in the brain and translating it to a medium that can be understood by a wide range of people. One of the ways this is done is with systems that take information directly from the brain and enable control over a computerized system. These are referred to as brain computer interfaces, also known as BCIs. Brain-computer interface (BCI) technology decodes neural signals in real time to control external

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    ARTICLE TITLE: Human Neural Stem Cell Tropism to Metastatic Breast Cancer ESSAY TITLE: The Investigation of a therapeutic implication on metastatic breast cancer with a specialized human neural stem cell that is programed to secrete carboxylesterase combined with activated form of an ionotecan by targeting a specific tumor site and major cytokine involved in mediating susceptibility of neural stem cells to breast cancer cells. SCIENTIFIC SUMMARY: Metastatic Breast Cancer is characterized as a

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