Titlebook: Computational Intelligence and Big Data Analytics; Applications in Bioi Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Book 2019 The Au

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Neighborhood Algorithm for Product Recommendation, find the patterns in Web data by collecting and analyzing the information. Most of the business organizations are interested to recommend the products in a quick and easy manner. The main goal of recommender system of a product is to increase the rate of customer retention and enhance revenue of an

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A Quantitative Analysis of Histogram Equalization-Based Methods on Fundus Images for Diabetic Retinin screening and diagnosing the diabetic retinopathy. These images must be enhanced in contrast, and the brightness should be preserved to view the features correctly. In addition, the fundus image should be analyzed by Histogram Equalization-based methods to detect DR abnormalities effectively. In

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剛開始

Performance Analysis of Denoising of ECG Signals in Time and Frequency Domain,cardiogram (ECG) signal is vital for accurate diagnosing of heart disease. ECG modeling and noise reduction are rather essential for clinical applications also. The major issue is denoising of ECG signal which has been corrupted by equipment or by transmission process. Several methods have been appl

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Data Mining Efficiency and Scalability for Smarter Internet of Things, billion by 2020, which may retort a large amount of priceless data. The information generated from the smarter IoT devices will be utilized to comprehend and organize sophisticated environments of our lives, to enable good decision making, and great level of automation, higher efficiencies, higher

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Book 2019mprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applicat

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Neighborhood Algorithm for Product Recommendation, organization. In this paper, neighborhood algorithm-based recommender system is developed by considering both product and seller ratings with an objective to reduce time for getting review of an appropriate product.

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