Design and implementation of a smart learning environment for teaching computer networking

Get full text

CAPHAR: context-aware personalized human activity recognition using associative learning in smart environments

Get full text

Algorithm selector for dynamic AGV scheduling in a smart manufacturing environment using machine learning by Schweitzer, Felicia Cathrin

Get full text

Paper 22: Machine Learning Evaluation of the HiTar-2024 Dataset for Intrusion Detection in Smart Manufacturing Environments

Get full text

How can “smart cities” thinking benefit urban planning and development in South Africa? Learning from international smart city approaches

Get full text

Teacher experiences in creating an invitational learning environment in a diverse classroom

Get full text

Natural Sciences teachers’ experiences of the use of blended teaching in Smart Schools

Get full text

A binaural sound sources localisation application for smart phones by Mugagga, Pius Kavuma Basajjabaka

“…The purpose of this research project was to establish a feasible Sound source localization algorithm for current top-end smart phones, and to recommend hardware improvements for future smart phones, to pave way for the use of smart phones as advanced auditory sensory devices capable of acting as avatars for intelligent remote systems to learn about different acoustic scenes with help of human users. …”
Get full text

Development of a conceptual framework for integrating intelligent-product structures into a flexible manufacturing system by Burkart, Adrian

Get full text

A framework for implementing Industrie 4.0 in learning factories by Du Plessis, Carl Jan

Get full text

Load Balancing in Mobile Networks Using Deep Reinforcement Learning and Traffic Prediction by Raafat Mokhtar Abouamasha, Shorouk

“…This rapid growth is driven by a range of applications, including technologies like the Internet of Things (IoT), as well as innovations in smart cities, autonomous vehicles, and more. Different applications demand specific performance criteria such as high data throughput, low latency, robust reliability, and efficient energy usage. …”
Get full text
Get full text

[Apart] space valuing community: focused on incidental learning and wayfinding thresholds by Sithole, Lunga

Get full text

Modern-ocean ground-truthing of planktic foraminifer nitrogen isotopes : a proxy for surface ocean nutrient conditions by Smart, Sandi M.

Get full text

Green Supply Chain Learning And Green Innovation: The Moderating Role Of Market Turbulence (A Survey Of Firms In The Retail Sector In Greater Accra) by Duse, Barbarah

“…SMART-PLS was used to analyze the data. Structural equation modelling analysis showed green customer learning and significantly influence green innovation. …”
Get full text

Green supply chain learning and green innovation: the moderating role of market turbulence(a survey of firms in the retail sector in greater Accra by Duse Barbarah

“…SMART-PLS was used to analyze the data. Structural equation modelling analysis showed green customer learning and significantly influence green innovation. …”
Get full text

The Art of Urban Generativity : an analytical case study documenting the process and impact of a-formality in Mamelodi East, Gauteng

Get full text

Mobile phone technology as an aid to contemporary transport questions in walkability, in the context of developing countries by Chege, Wilberforce Wanjau

“…In turn, the full research will offer a broader understanding of the iii information gathered from these smart devices, and how that large volume of varied data can be better and more quickly interpreted to discover trends, patterns, and aid in decision making and planning. …”
Get full text