Journal of Artificial Intelligence Research & Advances
Volume 6, Issue 3 (2019)
Published
Table of contents
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Semantic Summarizer
Abstract: Abstract: This work presents the survey of the existing approaches used for automatic text summarization. Automatic text summarization technique belongs to the natural language processing area, and is applied on the source document to produce its compact version that preserves its aggregate meaning and key concepts. On a broader scale, approaches for text summarization task are classified into two categories: (1) abstractive and (1) extractive. In abstractive summarization, main contents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 1–8 Read article
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Forward Collision Avoidance System in a Self-driving Remote Controlled Car: An Application of Machine Intelligence
Abstract: Abstract: The paper discusses the experimental vision-based forward collision avoidance system (FORCAS), an autonomous bot car based on machine learning using Raspberry Pi as a processing platform. Using HD camera images as a primary input, Raspberry Pi combines processes and predict path using convolutional neural network and distance estimation models. It distinguishes the stationary objects on a drivable road surface and estimates their distances from a single camera’s view. Classification …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 13–18 Read article
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Generalized Churn Prediction
Abstract: Abstract: Customer churn evaluation and management are important to determine the loyalty of customers with the firm and thus to remain aware of each customer whether he will stay or leave the firm. This, in turn, will be used to determine the value of the firm and hence its place in the market. This paper includes existing literature which has been done in the field of churn analysis from time …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 19–24 Read article
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Detecting Hateful Content on Social Media
Abstract: Abstract: As humans have identified social media as an indispensable mode of interaction, their evil side seems to have spilled all over the social media platforms. With a humongous number of victims to hatred on the social media, we realized it must be rooted out. We proposed creating a classifier that learns from many a feature including lexical, semantic, syntactic, morphological and contextual features. This paper aims to revolve around …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 25–31 Read article
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Heart Disease Diagnosis Using Artificial Neural Networks
Abstract: AbstractCoronary illness is a term covering any defect of the heart. In contrast to cardiovascular problem, which portrays issues with the veins and circulatory framework just as the heart, coronary illness alludes to issues and deformations in the heart itself. As indicated by the Centers for Disease Control (CDC), coronary illness is the main source of death in the United Kingdom, United States, Canada, and Australia. One of four passing’s …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 32–36 Read article
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A Review on Digital Image Forgeries and Their Detection
Abstract: Abstract: In today’s digital era due to the availability of large and editing tools which are easily available tempering images and changing the content of images have become the easy task. The image is manipulated in such a way that the viewers cannot detect it. Due to this, more work is being done on the internet and almost all information is conveyed by images. So the important task is to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 37–43 Read article
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General Depiction of An Efficient Bootstrapper-A Review
Abstract: Abstract: Bootstrapping is a technique which can automatically annotate emotional corpora. It is a pre-eminent job aimed by many companies who want to research the sentiments of products before purchase, or many companies that want to observe a view or opinion that is held or expressed by public about their brands. The significance of this research is expressed by the fact that, in the present era, people’s emotions has a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 9–12 Read article