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Data Layout and Scheduling Tasks in a Meteorological Cloud Environmen
《Intelligent Automation & Soft Computing》2023年第7期905-920,共16页Kunfu Wang Yongsheng Hao Jie Cao 
funded in part by Major projects of the National Social Science Fund(16ZDA054)of China;the Postgraduate Research&Practice Innovation Program of Jiansu Province(NO.KYCX18_0999)of China;the Engineering Research Center for Software Testing and Evaluation of Fujian Province(ST2018004)of China.
With the proliferation of the internet,big data continues to grow exponentially,and video has become the largest source.Video big data intro-duces many technological challenges,including compression,storage,trans-miss...
关键词：Video analytics video semantic substance model fuzzy rule image processing 
SNCDM: Spinal Tumor Detection from MRI Images Using Optimized Super-Pixel Segmentation
《Intelligent Automation & Soft Computing》2023年第5期1899-1913,共15页T.Merlin Inbamalar Dhandapani Samiappan R.Ramesh 
Conferring to the American Association of Neurological Surgeons(AANS)survey,85%to 99%of people are affected by spinal cord tumors.The symptoms are varied depending on the tumor’s location and size.Up-to-the-min-ute,b...
关键词：Maximum error-classification problem optimized convolution network super-pixel analytics numerical characteristics disintegration model(SNCDM) 
Customer Segment Prediction on Retail Transactional Data Using K-Means and Markov Model
《Intelligent Automation & Soft Computing》2023年第4期589-600,共12页A.S.Harish C.Malathy 
Retailing is a dynamic business domain where commodities and goods are sold in small quantities directly to the customers.It deals with the end user customers of a supply-chain network and therefore has to accommodate...
关键词：K-MEANS retail analytics clustering cluster prediction Markov chain transition matrix RFM model customer segmentation segment prediction Markov model segment profiling 
Forecasting Stock Volatility Using Wavelet-based Exponential Generalized Autoregressive Conditional Heteroscedasticity Methods
《Intelligent Automation & Soft Computing》2023年第3期2589-2601,共13页Tariq T.Alshammari Mohd Tahir Ismail Nawaf N.Hamadneh S.Al Wadi Jamil J.Jaber Nawa Alshammari Mohammad H.Saleh 
In this study,we proposed a new model to improve the accuracy of fore-casting the stock market volatility pattern.The hypothesized model was validated empirically using a data set collected from the Saudi Arabia stock...
关键词：Predictive analytics mathematical models volatility index EGARCH model 
Germination Quality Prognosis: Classifying Spectroscopic Images of the Seed Samples被引量：1
《Intelligent Automation & Soft Computing》2023年第2期1815-1829,共15页Saud S.Alotaibi 
One of the most critical objectives of precision farming is to assess the germination quality of seeds.Modern models contribute to thisfield primarily through the use of artificial intelligence techniques such as machin...
关键词：Precision farming ensemble classification germination quality machine learning predictive analytics 
Modeling of Optimal Deep Learning Based Flood Forecasting Model Using Twitter Data被引量：1
《Intelligent Automation & Soft Computing》2023年第2期1455-1470,共16页G.Indra N.Duraipandian 
Aflood is a significant damaging natural calamity that causes loss of life and property.Earlier work on the construction offlood prediction models intended to reduce risks,suggest policies,reduce mortality,and limit prop...
关键词：Big data analytics predictive models deep learning flood prediction twitter data hyperparameter tuning 
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