Volume 9 | Issue 7 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Recent developments in cardiac simulation have presented the heart as the most highly integrated example of a virtual organ. Computational modeling of tissue, organ, cells allow to link genomic and periodic information to the integrated organ behavior. This helps to better understand the functioning of heart in both diseased and healthy conditions. Patient-specific modeling (PSM) is the development of computational models of human pathophysiology that are individualized to patient-specific data. PSM has its potential to improve diagnosis, optimize clinical treatment by predicting outcomes of therapies and surgical interventions, and inform the design of surgical training platforms. The goal of this paper is to more broadly illuminate recent work in PSM by providing a survey of current publications in the field and also on computational optimization techniques used in the field of cardiac electrophysiology.

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 Keywords

Computational Modeling, Patient-Specific Modeling, Pathophysiology, Computational Optimization, Cardiac Electrophysiology

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 Abstract

One of the important fields of Artificial Intelligence is Computer Vision. Computer Vision is the science of computers and software systems that can recognize and understand images and scenes. Computer Vision is also composed of various aspects such as image recognition, object detection, image generation, image super-resolution and more. Object detection is probably the most profound aspect of computer vision due the number practical use cases. Object detection refers to the capability of computer and software systems to locate objects in an image/scene and identify each object. Object detection has been widely used for face detection, vehicle detection, pedestrian counting, web images, security systems and driverless cars. There are many ways object detection can be used as well in many fields of practice. Like every other computer technology, a wide range of creative and amazing uses of object detection will definitely come from the efforts of computer programmers and software developers. Traffic sign recognition system (TSRS) is a significant portion of intelligent transportation system (ITS). Being able to identify traffic signs accurately and effectively can improve the driving safety. This project brings forward a traffic sign recognition technique on the strength of deep learning, which mainly aims at the recognition of circular signs. The detected road traffic signs are classified based on deep learning. In this project, a traffic sign detection and identification method on account of the image processing is proposed, which is combined with convolutional neural network (CNN) to sort traffic signs. On account of its high recognition rate, CNN can be used to realize various computer vision tasks. TensorFlow is used to implement CNN. In the German data sets, we are able to identify the circular symbol with more than 95% accuracy.

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 Keywords

Keras, OpenCV, Convolutional Neural Networks(CNN), Deep Learning, Traffic sign recognition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Eco-friendly, Copper oxide nanoparticles, Phenols, bio-reduction, Cytotoxicity, HeLa.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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AUTOMATIC HAND SANITIZER PRODUCTION USING PLC

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Creative Commons Attribution 4.0 and The Open Definition

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Customer churn is one of the main problems in the telecommunications industry. Several studies have shown that attracting new customers is much more expensive than retaining existing ones. Therefore, companies are focusing on developing accurate and reliable predictive models to identify potential customers that will churn shortly. The telecommunication industry in recent years is a subject of major changes and from a fast-growing industry has come to a state of saturation accompanied by a strong appetitive market. Customers starve for better services and prices, while their requirements are extremely complex and difficult to understand. Customers starve for better services and prices, while their requirements are extremely complex and difficult to understand. This project aims to investigate the main reasons for churn in the telecommunication sector. This project aims to investigate the main reasons for churn in the telecommunication sector. The proposed methodology for analysis of churn prediction covers several phases: understanding the business, selection, analysis, and data processing; implementing various algorithms for classification; evaluation of the classifiers and choosing the best one for prediction

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 Keywords

Churn Prediction,machine learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India was exposed to modern day tax structured Sir James Wilson in 1860 so that British Indian Government of that time can recover the losses incurred during the revolt of 1857. Since then various reforms were introduced to manage the pace of development and increase the horizon of government revenue through taxes. Most recently Goods and service taxes were introduced in India which has subsume more than 15 indirect taxes in it and becomes the most dynamic and celebrated tax reforms of the recent time. GST is an promising tax regime which was introduced with the motive make Indian businesses globally competitive by removing cascading effect, Easy inter-state movement of goods, inclusion of small business in the formal economy, reduction of tax terrorism etc. It is claimed to be one of the best measure to reduce tax evasion both direct and indirect. It was France which has introduced the GST for the first time in the world in 1954. But as world trade progresses today more that 160 countries of the world has adopted this system of taxation. It has been claimed that the GST model that India has adopted is very similar to Canadian Model of VAT. Both India and Canada are Common Law countries having very similar federal structure so it was advisable to look forward to Canadian Model of GST. Canada has adopted this system of taxation for the first time in 1991. Initially the government has faced many backlashes for the new change but today it is one of the country with smoothest Indirect tax structure. The present paper analyse the indirect tax regime in both the countries and tries to evaluate the similarities and dissimilarities of the law in both the jurisdiction.

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Creative Commons Attribution 4.0 and The Open Definition

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GST, ITC, HST, VAT, RST, QST,PST, MST, indirect tax, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abnormal development of cells in human body contributes to the formation of cancer or tumor. The uncontrolled expansion of cells in human brain leads to the formation of brain tumors. These brain tumors are classified into two types, benign and malignant. This project presents an automatic segmentation method based on fuzzy corner metric markers and classification method using Convolutional Neural Network. The segmentation method uses a fuzzified corner metric, in view of image intensity, is proposed to recognize the component markers to be enclosed by the contour. In order to improve the accuracy level, Whale Optimization Algorithm (WOA) is used. The WOA is used to tune the hyper parameters of hybrid CNN. These parameters include the number of convolution kernels, the size of convolution kernels, activation function, batch size and learning rate. CNN models, one of the deep learning networks, are utilized for the diagnosis process. The proposed work is implemented and simulated in MATLAB. The proposed work gives exceptionally good results, when compared to recently proposed techniques and this work provide better accuracy of 98.92%, specificity of 97%, and sensitivity of 97%.

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Creative Commons Attribution 4.0 and The Open Definition

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Brain Tumor, Classification, Image Segmentation, GLCM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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zafirlukast, fexofenadine, rheumatoid arthritis, leukotriene, histamine.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There is significant climb in cyber attacks, a numerous organizational entities are presently making progress toward better information mining strategies to examine security logs that has acquired from the various software framework to guarantee avoiding the bot attacks based on the location. Machine Learning approach based security frameworks are evolving to detect the patterns of attack by extracting the payload data from the network resources. These uncover the threats that are targeted towards the operational infrastructure with minimizing the cost for detection of these attacks. This paper introduces PSO Algorithm for detecting bot attacks on a network infrastructure. PSO Particle swarm optimization is a rudimentary variant which operates by consuming a populace of network infrastructure (assumed as a swarm) of network data (assumed as particles). These network particles are simulated and propagated in the investigation computational coordinates of the network infrastructure domain. The movements of the network particles result in a upward trajectory pattern of upper boundary and its consequent downward pattern lower trajectory of lower boundary. These boundaries constitute of the network traffic movements and each packet movement in the network space, when the data of each packet crosses upward trajectory pattern which will constitute of the traffic deviations generally a bot attack. These patterns are trained and tested on the network infrastructure to efficient detection of the attack.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PSO Particle swarm optimization, Network Infrastructure , Cyber Attacks , Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition