Titlebook: Computational Intelligence in Communications and Business Analytics; Third International Paramartha Dutta,Jyotsna K. Mandal,Somnath Mukhop

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書目名稱Computational Intelligence in Communications and Business Analytics影響因子(影響力)




書目名稱Computational Intelligence in Communications and Business Analytics影響因子(影響力)學科排名




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書目名稱Computational Intelligence in Communications and Business Analytics網(wǎng)絡公開度學科排名




書目名稱Computational Intelligence in Communications and Business Analytics被引頻次




書目名稱Computational Intelligence in Communications and Business Analytics被引頻次學科排名




書目名稱Computational Intelligence in Communications and Business Analytics年度引用




書目名稱Computational Intelligence in Communications and Business Analytics年度引用學科排名




書目名稱Computational Intelligence in Communications and Business Analytics讀者反饋




書目名稱Computational Intelligence in Communications and Business Analytics讀者反饋學科排名

Spirometry

Color Image Compressed Sensing Using Modified Stagewise Orthogonal Matching Pursuitonstruction from the measurements is based upon some nonlinear optimization algorithms like . minimization. Such reconstruction can be improvised by tuning the various resource requirements. The color image compressed sensing suffers from requirement of high physical resources as signal size increas

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An Image Encryption Method Using Chaos and DNA Encoding secret image as DNA sequence and also to diffuse the encoded image with DNA operations and finally a cipher image is obtained. Additionally, hash function SHA-256 is employed to plain image and this makes the current method more robust. The result of the present method is studied and analyzed to es

HACK

Modeling and Prediction of COVID-19 in India Using Machine Learningd of the virus. However, most of the machine learning methods along with SEIR models have failed to predict the outcome valid for a longer duration..In this paper, we propose a simple yet effective method for modeling COVID19 like pandemic based on a non-linear regression curve. With the help of mac

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reptile

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A Fuzzy Logic Approach to Evaluate Discomfort of Body Parts Among Female Sal Leaf Plate Makers in Inde several factors, such as uncertainties in the border regions between adjacent ranges of inputs, design of work places, characteristic of works, etc. To capture those uncertainties, a computational methodology is developed for evaluating discomfort level of body parts among the female Sal leaf pla

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Multispectral Object Detection with Deep Learningter vision tasks. Moving outside the visible spectrum range, such as the thermal spectrum or the near-infrared (NIR) images, is much more beneficial in low visibility conditions, NIR images are very helpful for understanding the object‘s material quality. In this work, we have taken images with both

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Pythagorean Fuzzy ,-means Clustering Algorithm convert the data points from crisp to Pythagorean fuzzy numbers (PFNs). Subsequently, Euclidean distance is used to measure the distances between data points. From the viewpoint of capturing imprecise information, the proposed method is advantageous in the sense that associated PFNs not only consid