Active Learning in Deep Bayesian Framework for Detecting Changes in Urban/Suburban Satellite Image Targets of High-resolution | Chapter 4 | Research Developments in Science and Technology Vol. 10

 

The issue of change detection in high-resolution (HR) satellite pictures is addressed in this work. Bayesian active learning disagreement (BALD), an active learning (AL) technique, is used to World view photos of the Greek island of Crete that show urban and suburban regions. The BALD acquisition function may be used while thinking about the classification job because it is based on Bayesian uncertainty. The pool data points that should be selected, according to the BALD principle, are those that are anticipated to maximise the knowledge gathered about the model parameters. In reality, the model shows that the data points that maximise the BALD acquisition function are typically unclear. Importantly, each stochastic forward run over the model would provide the greatest probability assigned to a certain class. In the experiments, results from random sampling (RS) on AL are compared. Investigated are several situations for selecting different numbers of pictures from the training set of a convolutional neural network (CNN). The validation accuracy of the BALD algorithm's categorization of data as altered or unchanged is superior to that of the RS algorithm, the results show. In fact, the BALD method achieves zero test error compared to the RS algorithm's test errors of 34.6 percent and 38.5 percent. In actuality, as the quantity of training photos grows, so does the accuracy. In further work, intriguing experiments might be carried out inside the AL acquisition function architecture using estimators from robust statistics. Up till now, no other literature research proving the application of

Author(s) Details:

Lemonia Ragia,
Information Management Systems Institute, Athena Research Center, Artemidos 6, Marousi 151 25, Greece.

Antigoni Panagiotopoulou,
Information Management Systems Institute, Athena Research Center, Artemidos 6, Marousi 151 25, Greece.

Please see the link here: https://stm.bookpi.org/RDST-V10/article/view/7717

Commodification in Mass Media’s Educative Function in Kenya: A Review | Chapter 14 | Modern Perspectives in Language, Literature and Education Vol.

 Since colonial times, the educational function of the media has had a significant impact in Kenya. The influence of mass media in influencing current worldviews—how people see and live in the world—has resulted in societal change. Because humans are primarily creatures of habit, and mass media contents are generally repetitive and unreflective, the power of mass media in reinforcing commodification and economic rationalist presuppositions is substantial. Because the visuals and messages in the media are based on philosophical ideas and principles that do not emerge naturally over time, They should be submitted to an actual evaluation since social and cultural influences are products of a fundamental and directing commitment at the centre of human understanding. From the premise that there is no such thing as media neutrality. The goal of this research is to look into the influence of mass media's educational function in developing consumers' core beliefs. The study looks into the role of the media in disseminating unfavourable economic rationalism and commodification narratives in particular. The author advocates for a careful, well-considered, and philosophically coherent approach to thinking on, evaluating, and responding to the processes by which mass media educates its audience.

Author (s) Details

Benson Kamary
Evangelia University, California, USA and Trinity International University, Illinois, USA.

View Book :- https://stm.bookpi.org/MPLLE-V6/article/view/2317