Past Issue : Vol: 8, Issue: 4 2018

Social Networks With Natural Learning Processing- Employability of Key Influencers Lexical, Syntactic and Semantic in Enhancing Business Intelligence

Karan Gupta

1-8

We are living in the era of Artificial Intelligence. This is noticeably represented in this research. The application of NLP which is the combination of sarcastic, semantic usage i...

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Machine Learning in Data Normalisation-Emplybility of Supervised Classification Techniques in Content Categorisation Using Machine Learning Algorithms for Enhancing Unwanted Social Networking Data

Sahil Kapoor

9-17

Now a day, it is very risky to filter the unwanted data in social networks. Data is generally in the form of text majority in the social networks. There are different algorithms av...

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Foundation Extraction - Determining the Declaration of the Voyaging Velocity Through Minimal Graph Cuts Segmentation in Enhancing Consequent Protest Recognition Systems

Divyashi Agrawal

18-29

This paper focused around the declaration of the voyaging velocity of a moving object of a video cut dependent on consequent protest recognition systems. In the wake of preprocessi...

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IOT: Enhancing the Applicability to Anticipate the Control Metrics in an Ambience

Karan Sablok

30-38

Remote systems administration sensor hubs for condition observing in Internet of Things (IOT) are accounted for in this work. The IOT organize incorporates singular self-supporting...

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Cloud File Sharing and Data Security Threats – Exploring the Employability of Graph-Based Unsupervised Learning in Detecting and Safeguarding Cloud Files

Harshit Yadav

39-44

As increasingly more enterprises are deploying cloud file-sharing services, this adds a new channel for potential insider threats to company data and IPs. In this paper, we introdu...

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Machine Learning in Network Load Balance: Employability of Neutral Network in Efficacious Use of Adaptable Multipath Routing Approach

Rishit Garg

45-49

Multipath directing routes use a few ways to disperse activity from a source to destination. This enhances execution as well as accomplishes stack adjusting and adaptation to non-c...

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A Comparative Study on Latest Techniques Applied in Cloud Computing for Efficient Data Access and Data Computation

Raghav Mittal

50-58

Cloud computing is turning into a notable catchphrase lately. It is a developing and quickly developing registering innovation which uses the web and remote servers to oversee info...

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Developing A Smart Irrigation System by Implying Cloud Support in Conjunction With IOT

Chaitanya Sachdeva

59-67

Objective: This study presents a novel concept of an efficient and smart irrigation system for supporting the farmer’s communities using an Internet of Things (IoT) and to overco...

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Leveraging the NEST, GENN, EDLUT, and BRIAN Tools in Mitigating the Cost and Enhancing of the Computational Speed

Romharsh Mittal

68-73

Objectives: To review various tools available for simulating Spiking Neural Networks using heterogeneous parallel processing platforms that help to reduce cost, increase the comput...

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An In-Depth Analysis of Neural Network Application for Hand-Written Character Recognition

Vineet Sehrawat

74-80

Different writing styles are remarkable, making it trying to distinguish characters that were composed manually. Transcribed character acknowledgment has turned into the subject of...

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TRENDS IN ECOLOGY AND ENVIRONMENTAL BIOLOGY RESEARCH METHODS: A REVIEW

Dr Anju Pathak

81-93

Ecological sciences are comprised of disciplines, for example, Natural Science, which is regarded as an Applied Environment. Nature and Ecological Science are connected regions ofs...

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Disclaimer: All papers published in IJRST will be indexed on Google Search Engine as per their policy.

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