Deep Learning Technologies for Social Impact Dr Charles Staver

Deep Learning Technologies for Social Impact Dr Charles StaverThis book highlights the importance of specific frameworks such as IoT enabled frameworks or serverless cloud frameworks that are applying DL techniques for solving persistent, complex and pressing societal problems. Enhanced through case studies, including those implemented using tensorflow2 and relevant IoT specific sensor actuator frameworks.

cross-cultural romance

It explores the Russian leadership’s strategic agenda and illuminates the range of problems it faces in implementing it

Until now there has not been a book to give women advice on how to succeed in physics as a career and achieve a happy and balanced life

and the intersections between his original writing and translations

Essays on the chronology and interpretation of the Byzantine mosaics of Thessaloniki

with time series data on the microenvironment

increasing cane productivity per unit area

graminearum in cereal crops

the most important pathogen detection tests are described

and argues that enhancing biocontrol of pests and lengthening the usable life of equipment and infrastructure are important strategies for reducing environmental impact

Cities without Palms (AUC Press

a collection of articles from a conference in 2016 on »Transformations of City and Countryside in the Byzantine Period«