HIGH-VOLTAGE NEURAL STIMULATOR COMBINED WITH A LOW-VOLTAGE RECORDER Ulrich Bihr‚ Jens Anders‚ Joachim Becker and Maurits Ortmanns Institute of Microelectronics‚ University of Ulm‚ Ulm‚ Germany Ulrich.Bihr@uni-ulm.de Abstract: This paper presents a high-voltage (HV) neural stimulator combined with a low-voltage (LV) neural recorder. In many bidirectional neural implementations with a high voltage compliance for the stimulation is it not possible to have a high density due to the high power
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THE EVALUATION OF CREDIT RISKS OF MONGOLIAN BANKS USING ARTIFICIAL NEURAL NETWORK AND SELECTED ECONOMETRIC MODELS Battulga Otgonbaatar Manduhai Mendbayar Shurentsetseg Byambatsogt Institute of Finance and Economics of Mongolia/ Economic department Abstract The importance of optimal decision-making and precise predictions is not limited to banks only but also of importance to other financial institutions. Nowadays‚ financial markets are becoming increasingly uncertain and interdependent‚
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[22] . There are multiple algorithms for credit card fraud detection [21] [29]. They are artificial neural-network models which are based upon artificial intelligence and machine learning approach [5] [7] [9] [10] [16]‚ distributed data mining systems [17] [19]‚ sequence alignment algorithm which is based upon the spending profile of the cardholder [1] [6]‚ intelligent decision engines which is based on artificial intelligence [23]‚ Meta learning Agents and Fuzzy based systems [4]. The other technologies
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Artificial Intelligence In Cyber Defense Qurat-ul-Ain Aftab IEEE‚ Sana Binte Tahir IEEE‚ Farah Haseen IEEE‚ International Islamic University Islamabad. qsf@ieee.org Abstract-The speed of procedures and the amount of data to be used in defending the cyber space cannot be controlled by humans without significant automation. On the other hand‚ it is hard to develop software with conservative fixed algorithms (hard-wired logic on decision making level)
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Electro8 AS is a leading supplier of software tools for the embedded and Automation industry. Electro8 offers innovative‚ user friendly and scalable solutions for companies using embedded systems in their daily operations or in their internal development cycles. Electro8 focus is on enabling our customers to quickly identify non-optimal situations in their embedded systems and provide them with tools to rectify the situation and restore a normal operational state. We providing Embedded
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Khristle Joy Hutalla BSBA 2301 Questions 1. In the case study‚ we referred to the systems being developed and used as decision support systems. However‚ we also identified various artificial intelligence (AI) technologies. How can a decision support system incorporate and use AI technologies such as pattern recognition? - Artificial Intelligence (AI) tools and techniques can aid in the diagnosis of disease states and assessment of treatment outcomes‚ so AI can be used by a decision support system as pattern
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strategies have been developed to speed up backpropagation. It’s very difficult to compare these different techniques‚ because most of them have been tested on various specific data sets. Most of the reported results are based on some kind of tiny and artificial training sets like XOR‚ encoder or decoder. It’s very doubtful if these results hold for more complicate practical application. In this report an overview of many different speedup techniques is given. All of them were assessed by a very hard
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CONVERGING TECHNOLOGIES: THE FUTURE OF THE GLOBAL INFORMATION SOCIETY Introduction: The complex web of the global information grid will undergo explosive changes over the coming decades. As advances in science and technology converge‚ a myriad array of discoveries in biotechnology‚ nanotechnology and information technology will produce unpredictable effects that must be accounted for in any estimate of what the world will look like in this future. A strategically important feature of
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Stock Prices prediction using Artificial Neural Networks Ajay Kamat Flat 2‚ Jaysagar 2‚ Navy Colony Liberty Garden‚ Malad west‚ Mumbai – 400064 +919833796261 ajay1185@gmail.com ABSTRACT The aim of this research paper is to facilitate prediction of the closing price of a particular stock for a given day. A thorough analysis of the existing models for stock market behavior and different techniques to predict stock prices was carried out. These included the renowned Efficient Market Hypothesis
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Abstract: Cognitive radio (CR) is an enabling technology for numerous new capabilities such as spectrum access‚ spectrum sensing‚ spectrum decision‚ spectrum sharing and self organizing networks. This paper reviews several AI techniques used in cognitive radios such as : artificial neural network (ANN)‚ hidden Markov models (HMMs)‚ metahueristic algorithms‚ these techniques are proposed to provide the cognition capability in a cognitive engine. The modern software defined radio is the heart
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