Deep Learning Technologies for Social Impact

Deep Learning Technologies for Social ImpactThis 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 discusses developing effective training and certification schemes for improving on-farm dairy cattle welfare

Through an interdisciplinary

this edition features a new prologue by the author

Dovercourt and Parkeston over the course of the 19th century

How German writers responded to the crisis of orthodox forms of belief in the period is a matter of abiding interest

classical and other references explained

It challenges the often Western-focused history of humanitarianism by bringing together local

This chapter reviews environmental factors determining different types of tropical forest such as temperature

and illuminating representative moments and preoccupations in anti-authoritarian culture

The chapter describes the quality criteria for cocoa being developed and communicated to cocoa farmers around the world with varying levels of depth

This growth will strain computing resources

IIA-IIC) documents both the settlement and its cemetery