Titlebook: Secondary Metabolites and Volatiles of PGPR in Plant-Growth Promotion; R. Z. Sayyed,Virgilio Gavicho Uarrota Book 2022 The Editor(s) (if a

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Rabia Naz,Sehar Khushhal,Tayyaba Asif,Sara Mubeen,P. Saranraj,R. Z. SayyedDM problem as a cognition problems and treading a data set as an image with each light point located at a datum position, we developed a series of high efficient algorithms for clustering, classification and regression via mimicking visual principles. In pattern recognition, human eyes seem to posse

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Rabia Naz,Qudsia Fatima,Muhammad Zaheer,Zahid Anwar,Mohammad Javed Ansarissistants. Intelligent agents focus on agents as entities that can act on environments. These agents demonstrate qualities such as autonomy, situational awareness, embodiment, and flexibility. A challenge faced is creating a mechanism for artificial intelligent agents to cross-communicate in a world

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Paul A. Correa,Asia Nosheen,Humaira Yasmin,Mohammad Javed Ansarieed and good generalization performance. However, there are still some shortages that restrict the further development of ELM. For example, the randomly generated input weights, biases and the ill-conditioned appearance of the hidden layer design matrix all affect the generalization performance and

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Aurelio Ortiz,Estibaliz Sansinenea,Noshin Ilyas,R. Z. Sayyedlassification trees that were accurate. More recently, there has been recognition that in many applications, aiming to maximize accuracy alone is not adequate since the cost of misclassification may not be symmetric and that obtaining the data for classification may have an associated cost. This has

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Gadde Venkata Swarnalatha,Vedavati Goudar,Eddula Chengal Reddy Gari Surendranatha Reddy,Abdel Rahmanative proteomics is not only a way for data processing, but also an important approach for exploring protein functions and interactions in a large-scale manner. An effective method combining quantitation and qualification should be built. To systematically overcome this challenge, we proposed a new

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Eddula Chengal Reddy,Gari Surendranatha Reddy,Vedavati Goudar,Arava Sriramula,Gadde Venkata Swarnalanel methods, the scale parameter of Gaussian kernel is usually searched in a number of candidate values of the parameter and the best is selected. In this paper, a novel multiple kernel k-means algorithm is proposed based on similarity measure. Our similarity measure meets the requirements of the cl