Journal of Artificial Intelligence Research & Advances
Volume 4, Issue 3 (2017)
Published
Table of contents
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Visual Cryptography Using Novel Algorithms
Abstract: AbstractEncryption Schemes on images has tremendously increased to meet the demand of secure image transmission over various mediums such as Wired and Wireless Network. Various encryption standards show low efficiency over image encryption and have less impact on efficiency when the size of image is huge. Nowadays, secret communication plays a major role in many fields of mutual life, such as industry, banking and e-commerce etc. Due to the improvement …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 1–10 Read article
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A Review Paper on Comparison of Algorithms for Supervised Machine Learning
Abstract: AbstractSupervised learning attempts to create calculations that help deliver general speculations, which is able to do forecasts about future occasions. The objective of supervised learning is to manufacture a model of the segregation of class names in terms of predictor components. The classifier produced accordingly is then used to allocate class marks to the testing data where the estimations of the indicator elements are known, yet the estimation of the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 11–16 Read article
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Actors, Agents and Oracles in the Context of Artificial Intelligence
Abstract: AbstractIn this paper, we further develop the action theory of stratified hierarchic intelligence oriented at the creation of artificial intelligence. In this framework, we analyze and study the concept of an actor extending this concept and the corresponding model from specifically computational context to systems theory. The goal is to explore and use actor model for intelligent systems. The next step in the development of the action theory of hierarchic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 17–25 Read article
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Superpixel Segmentation using DBSCAN Clustering Algorithm
Abstract: AbstractSuperpixel division strategies are generally utilized as a pre-preparing venture to accelerate picture handling tasks. They assemble the pixels of a picture into homogeneous locales while attempting to regard existing shapes. In this paper, we propose a quick superpixels division calculation with contour adherence utilizing the density based spatial clustering of applications with noise (DBSCAN) algorithm. We implement a two-stage processing to decrease the computational costs of superpixel algorithms. First …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 26–36 Read article
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Artificial Intelligence for Better Climate Governance
Abstract: AbstractThe world’s attention today is on climate change that is no more just a perceived risk. Climate change is already impacting livelihoods; and by impacting the vulnerable regions and the communities more than others, may also be aggravating economic and social inequalities. Effective climate governance, therefore, requires better data collation and analysis thereof. Early warning signals of the impending change must not only be received but also distributed through strong …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 37–43 Read article
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An Unsupervised Common Sense-based Learning Framework for Emotion Detection and Classification in Textual Social Data
Abstract: AbstractEmotions are inherent to human behavior and generally expressed in response to the stimuli from the external environment or some internal processes. With the widespread use of online social platforms, people often express themselves using tweets, blogs and posts which generally include affective text. The topic of emotion detection and recognition has been widely studied in computational science and in fact a separate area “Affective Computing” is dedicated to its …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 44–51 Read article
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Constraints and Limitationsin Software Reliability Prediction
Abstract: AbstractSoftware, as entered into our lives in all aspects. We are now so dependent on technology that it has become very critical for our lives. All the modern technological development, be it in any field incorporates the usage of software directly or indirectly. Due to this the need for reliable software is also gaining importance. A software in deeply tested before being brought into its professional application but still it …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 52–56 Read article