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Decision tree algorithms were used to develop predictive models for lameness based on percent of body weight distribution to individual legs of Karan Fries cross bred cows. To develop prediction model, 589 Karan Fries cows data were recorded for the health status (lame or healthy) as target variable and other non-genetic variables such as percent of body weight distributed to individual legs (using...
EIT is a simple and robust imaging technique that is vastly applied for both medical and industrial process imaging. One of the biggest influencing factors in deciding the accuracy of the reconstructed image lies in the model. As EIT is an underdetermined, nonlinear system, if the number of elements in a discretized model that needs to be solved becomes too large, and the number of available measurements...
Present study describes the application of machine learning algorithms to detect the health status of Karan Fries crossbred cow, whether cow is lame or healthy. A total of 589 Karan Fries crossbred cows data from the herd maintained at National Dairy Research Institute (NDRI), Karnal were recorded for the health status (lame or healthy) as target variable and other non-genetic variables such as percent...
One of the challenging and difficult problems under the category of Music Information Retrieval (MIR) is to identify a singer of a given song under the strong influence of instrumental sounds. The performance of Singer Identification (SID) system is also severely affected by the quality of recording devices, transmission channels and singing voice(s) of other singer(s). We have proposed a large database...
In today's world, where terrorist attacks are on the rise, employment of infallible security systems is a must. Iris recognition enjoys universality, high degree of uniqueness and moderate user co-operation. This makes Iris recognition systems unavoidable in emerging security & authentication mechanisms. We propose an iris recognition system based on vector quantization. The proposed system does...
ART1 based clustering approach is used for classification, which groups fingerprints into more compact classes. ART1 is a efficient technique for grouping fingerprints in to N number of classes, which speedup the process of fingerprint recognition. After classification of fingerprints the keyfingerprint class is used for the purpose of fingerprint identification. The key-fingerprint is recognized...
We report on the implementation and hardware platform of a real time Statistics-Based Processing (SBP) method with depth of interaction processing for continuous miniature crystal element (cMiCE) detectors using a sensor on the entrance surface design. Our group previously reported on a Field Programmable Gate Array (FPGA) SBP implementation that provided a two dimensional (2D) solution of the detector's...
Recognition of documents containing multiscripts is really a challenging task, which needs more effort of the OCR (optical character recognition) designers for improving the accuracy rate. Previously OCR was developed for documents with single scripts only mainly for English and regional languages. Old documents of not only uniscripts but also multiscripts is needed to be preserved for future use...
Recently, Bayesian network classifiers (BNCs) have attracted many researchers because they can produce classification models with dependencies among attributes. From the application viewpoint, however, BNCs sometimes produce models too complicated to interpret easily. In this paper, we propose k-Bayesian network classifier (k-BNC), which is a new method to reconstruct the attribute-dependency relationship...
Computer assisted analysis of ECGs has recently experienced a remarkable revival due to its increased importance as biomarker in clinical trials. Especially 12-lead 24 h Holter-recording is nowadays routinely applied. But how accurate is the automatic computer analysis of 12 lead Holter recordings? While there are several data bases to evaluate the performance of 2-lead Holter algorithms, e.g., MIT-BIH,...
A challenging and daunting task is to find out which is more effective and accurate method for stock rate prediction so that a buy or sell signal can be generated for given stocks. This paper presents a number of technical indicators, back propagation neural network and genetic based backpropagation neural network to predict the stock price of the day. Stock rate prediction accuracy of different technical...
Specific information on biomolecular events such as protein-protein and gene-protein interactions is essential for molecular biology researchers. However, the results derived by current keyword-based information retrieval engine contain a great deal of noisy information, which forces biologists to use a combination of several keywords to locate information. To resolve this problem, we propose a question...
Non-perpendicular drilling of bone is commonplace in orthopaedic surgery. In the absence of drill-jigs and guides, the drill-tip is prone to skiving along the bone. Skiving can alter the position of the intended hole or result in damage to surrounding tissues. We hypothesised that the acute point-angle and increased flexural rigidity of 3-fluted drills – in certain clinical scenarios – can increase...
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