Titlebook: Emerging Trends in Expert Applications and Security; Proceedings of 2nd I Vijay Singh Rathore,Vincenzo Piuri,Marta Campos Fe Conference pro

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Deep Learning Based Approach in Automatic Microscopic Bacterial Image Classification,e study of bacterial species is critical due to its biological importance in food industry, medical diagnosis, veterinary science, genetic engineering, agriculture, biochemistry, and other allied fields. However, identifying and categorising these species is highly complex, time-consuming and needs

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Deep Learning-Based Recognition and Classification of Different Network Attack Patterns in IoT Devition sharing and data aggregation. It comprises of numerous heterogeneous devices and sensors having different protocols and standards which exchange and collect data over the Internet with robust connection. The extensive usage of these devices poses a vast number of cyber security threats as these

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Lipid Concentration Effects on Blood Flow Through Stenosed Tube,e walls. The blood is treated as “elastic-viscous fluid”. The solutions are manifested for the effects of temperature and concentration on streaming blood by solving non-linear coupled equations using “Homotopy Perturbation Method” and computational results are presented graphically using “MATLAB Pr

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,Padam Persona—Personalizing Text to Image Using Artificial Intelligence,a. However, it is unambiguous how this freedom can be used to create personalized and unique concept images, change their appearance, incorporate them into new characters and scenes. Input from the user is used to generate a painting or portrait based on the user’s likeness, or to generate a new pro

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Deep Neural Based Learning of EEG Features Using Spatial, Temporal and Spectral Dimensions Across De traditional cognitive workload recognition paradigms. The earlier stated techniques typically collect characteristics from the spectral and temporal views of the data separately. Therefore, the crucial step in establishing reliable EEG representations related to the identification of cognitive wor

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A Framework for Classification of Nematodes Species Using Deep Learning,earch, less than 0.01% of these species have been identified till date. Majority of the Nematodes carries identical morphological similarities and are extremely difficult to classify using traditional technologies. These organisms play a vital role in pest control, soil ecology, biogeography, habita

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CAD Model for Biomedical Image Processing for Digital Assistance,as a supporting system (e.g., CAD) for doctors to diagnose diseases using biomedical images like CT-Scan, X-ray, MRI etc. COVID-19 is a highly communicable and extremely dangerous disease. Almost 1.36 billion people in the word are affected by the coronavirus till date. Two million people have died.