Deep Learning Technologies for Social Impact International institutions / intergovernmental organizations

Deep Learning Technologies for Social Impact International institutions / intergovernmental organizationsThis 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.

This chapter focuses on key work in the development of robotic weeders

along with currently unidentified mechanisms should be the focus of future research

reviewing published research and presenting a case study based on our ongoing wheat technology transfer project in Kenya

Discusses fencing with single sword

It begins by assessing insect pests such as termites

Will appeal to wide market of Renaissance students

Glimpsing an elderly man leading his blind daughter on a pilgrimage

The descriptive sections of this book provide surprising insights into the lives of the inhabitants of Bronze Age Lerna

editors of the plays

Offering a truly multidisciplinary range of perspectives

why only certain isotopes of uranium and plutonium are suitable for use

a six-part ‘irrigation savings allocation framework’ (ISAF) to effect consumption-based savings is proposed