The Accuracy of Multi-Layer Recurrent Neural Networks for Musical Lyric Generation

The Accuracy of Multi-Layer Recurrent Neural Networks for Musical Lyric Generation Abstract With the rise of machine learning use in artificial content creation for art, poetry, and more, there are many questions regarding the optimal neural network configurations to achieve the highest qual- ity content possible. This paper examines the relationship between training data size … Read more

Sentiment analysis – Twitter

Nowadays social network sites make the entire world a small village, where users can share their views, feelings, experiences, advice through those sites so that others can get help from these [1]. Twitter is one of the best social network sites where users can communicate with each other or share their opinions in the form … Read more

What text genres could be translated successfully by Machine Translation

Globalisation is continuing to spread and the demand for translators is higher than ever. The growth of globalisation comes alongside the demands for the increase of translators’ productivity, which means that more texts are expected to be translated in a shorter period of time. Therefore, automated translation – machine translation (MT) is nowadays increasingly used … Read more

Structural health monitoring

In any structure or structural element before application in actual field there is some testing should have to perform so that to check its reliability and serviceability. So in characterization process we have to set its limitation either they are structural or geometrical. At some extent, in beginning of service life of any structure  main … Read more

Malicious nodes spoofing their identity and location

A wireless sensor network is distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc.  and to cooperatively pass their data through the network to a main location. One of the main issues in WSN is malicious nodes spoofing their identity and location. A packet drop attack or black hole … Read more

Biggest Hack in History – TJ Maxx

Introduction TJ Maxx Biggest hack in  the History. The  hackers have stolen 45.7 million credit and charge cards of customers at off-value retailers at T.J. Maxx for a situation accepted to be the biggest falling out of customer data. Data from 45.7 million cards was stolen from exchanges that are recorded with the Securities and … Read more

Bug Triaging Using Data Reduction Techniques

Abstract— Open source projects for example Eclipse and Firefox have open source bug repositories. User reports bugs to these repositories. Users of these repositories are usually non-technical and cannot assign correct class to these bugs. Triaging of bugs, to developer, to fix them is a tedious and time consuming task. Developers are usually expert in particular … Read more

A Novel and Reliable Event Detection and Enhanced Congestion Control Technique for WSN

Abstract Effectiveness of a Wireless Sensor Network (WSN)  is determined by its performance  and any WSN can lose packets when it is congested. Sinks collecting information from other nodes are most likely to be less efficient when there is congestion. There are many congestion control algorithms while congestion detection and control are major research areas. … Read more

Multiagent coverage algorithms

Multiagent coverage algorithms have been used in the context of search and rescue operations to determine optimal search patterns for a team of robots. Many solutions to the problem of area coverage have been discussed in the literature. Our approach covers a physics-inspired technique for global control of agents in a search space. However, more … Read more

EMG signal classification

In the relaxed state of muscle, a more or less noise-free EMG baseline is observed in EMG plot. The raw EMG baseline noise depends on many factors, especially the quality of the EMG amplifier, the environmental noise and the condition of subject under investigation. In case a state of the art amplifier is available and … Read more

Has the age of quantum computing arrived?

Has the age of quantum computing arrived? When we say an emerging technology represents a “paradigm shift,” it’s often a hyperbole. In the case of quantum computers, it’s an understatement … Ever since Charles Babbage’s conceptual, unrealised Analytical Engine in the 1830s, computer science has been trying very hard to race ahead of its time. … Read more

Stage Based Context Learning using LSTM Attention model

Abstract—Results exceeding human accuracy by neural networks are achieved due to advancements like memory, attention and NLP. This has led to neural network models that outperform human capabilities. In this paper, attention model is used strategically to design stage based context aware system which focuses only on what is needed depending on the external parameters … Read more

Shortest route Algorithm for angiography to analyse vein blockage in heart

Study of shortest route Algorithm and their implementation in angiography process to analysis veins blockage in Human’s Heart is a combine problem of computer science and medical field related to biology subject. Firstly we discuss best shortest path algorithm concept. Here we consider our veins of network in our human body just like is general … Read more

Global E-Commerce – Career Fair Prep

Career Fair Prep A management information systems degree opens doors to an infinite amount of job opportunities in almost any industry. Whether it is working for a company as large as Amazon or working for a small construction firm. Every company uses data and must have systems to use it, store it, and secure it. … Read more