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- Volume 12, Issue 1, 2019
Recent Patents on Computer Science - Volume 12, Issue 1, 2019
Volume 12, Issue 1, 2019
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Identification of Essential Proteins in Yeast Using Mean Weighted Average and Recursive Feature Elimination
Background: Essential proteins are significant for drug design, cell development, and for living organism survival. A different method has been developed to predict essential proteins by using topological feature, and biological features. Objective: Still it is a challenging task to predict essential proteins effectively and timely, as the availability of protein protein interaction data depends on network correctness. Methods: Read More
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Prediction Intelligence System Based Real Time Monitoring of Yoga Performers
More LessBackground: Health is the major concern of each and every individual. Being fit both physically and mentally is not an easy task. Yoga and meditation is considered as an optimal solution for the same. In Yoga, Yogi (person who does yoga) performs various asanas (body postures) which energize and refresh their body cells and keep them fit. The real purpose of yoga asanas and breathing techniques is to achieve optimal Read More
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3D Object Recognition System Based On Local Shape Descriptors and Depth Data Analysis
More LessBackground: A physical object, which is actually in 3D form, is captured by a sensor/ camera (in case of computer vision) and seen by a human eye (in case of a human vision). When someone is observing something, many other things are also involved there which make it more challenging to recognize. After capturing such a thing by a camera or sensor, a digital image is formed which is nothing other than a bunch of pixels. It Read More
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Grouping of Nodes in Social Networks Based on Multiphase Approach
More LessBackground: Recent advances in the field of information and social network has led to the problem of community detection that has got much attention among the researchers. Objective: This paper focus on community discovery, a fundamental task in network analysis by balancing both attribute and structural similarity. The attribute similarity is evaluated using the Jaccard coefficient and Structural similarity is achieved t Read More
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Location-Based Collaborative Filtering for Web Service Recommendation
More LessBackground: In many modern applications, information filtering is now used that exposes users to a collection of data. In such systems, the users are provided with recommended items' list they might prefer or predict the rate that they might prefer for the items. So that, the users might be select the items that are preferred in that list. Objective: In web service recommendation based on Quality of Service (QoS), predicting Read More
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Effective Classification of Major Depressive Disorder Patients Using Machine Learning Techniques
Authors: Nivedhitha Mahendran and Durai R. VincentBackground: Major Depressive Disorder (MDD) in simple terms is a psychiatric disorder which may be indicated by having mood disturbances which are consistent for more than a few weeks. It is considered a serious threat to psychophysiology which when left undiagnosed may even lead to the death of the victim so it is more important to have an effective predictive model. The major Depressive disorder is often termed as com Read More
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Recent Advances on the Recognition of Important Processes in Project Progress Management
By Dui HongyanBackground: Comparing with the actual progress of the project and the expected target in a project management, the processes are generally inadequate due to the overall market situation and internal factors. If the progress and quality of the project cannot meet the requirements, then the processes need to be adjusted to improve the project efficiency. In the related patents of project progress management, they seldo Read More
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Temporal Pattern Specifications for Self-Adaptive Requirements
Authors: Ayoub Yahiaoui, Hakim Bendjenna, Philippe Roose, Lawrence Chung and Mohamed AmrouneBackground: Systems whose requirements change at a rate that necessitates adaptation without human intervention are called self-adaptive systems, and they have the ability to adjust their behavior autonomously at run-time in response to their environment’s evolution. Samples of applications that require self-adaptation include Smart home systems and environmental monitoring. However, self-adaptivity is often c Read More
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Towards An Implementation of A Modified Static Load Balancing Algorithm To Minimize Execution Time
Authors: Hioual Ouided, Laskri M. Tayeb, Hemam Sofiane Mounine, Hioual Ouassila and Maifi LyesPurpose: The aim of this article is to discuss the impact of static load balancing over a set of heterogeneous processors, where tasks are independent and unitary in static environments, by showing how to distribute task in order to optimize both the average response time and the degree of the resources used. Methods: Implementation of a modified scheduling algorithm, the latter is based on two parameters whic Read More
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