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Proactive adaptation of behavior for smart connected objects
(2019)
The great amount of generated data from IoT infrastructures in Smart Cities, if properly leveraged, presents the opportunity to shift towards more sustainable practices in rapidly increasing urban areas. Reasoning upon ...
CAVISAP : Context-aware visualization of air pollution with IoT platforms
(2019)
Air pollution is a severe issue in many big cities due to population growth and the rapid development of the economy and industry. This leads to the proliferating need to monitor urban air quality to avoid personal exposure ...
Predictive modelling for IoT enabled waste management system
(2018)
The research presents a web based Decision Support System(DSS) that operates within the waste management and IoT ecosystem. The DSS leverages temperature, humidity, fill-level and weight about the Smart Garbage Bins(SGB) ...
MEEDS : a decision support system for selecting the most useful developmental projects in developing countries : case of Ghana
(2018)
Several sustainable development indicators have been used to monitor and measure the progress of various countries. Several reports and data available about countries progress prove that development has not been equal in ...
Data center performance comparison framework based on biomimicry
(2018)
The increase and demand for fast, efficient data processing and storage services coupled with the high energy usage necessitate the need for changes in the design and operations of the data center for improved performance. ...
BRB based deep learning approach with application in sensor data streams
(2019)
Predicting events based on available data is an effective way to protect human lives. Issuing health alert based on prediction of environmental pollution, executing timely evacuation of people from vulnerable areas based ...
Context- and situation prediction for outdoor air quality monitoring
(2019)
The staggering increase in deaths caused by the rise of air pollution in urban areas is a growing global concern, hence predicting the time and place where concentrations of pollutants will be the highest is critical for ...
Green grid metrics in network information system for monitoring ICT sustainability in data centers
(2018)
Data center infrastructure is critical to manage the ever-increasing volume of data of today’s connected world, consuming excessive amounts of energy in the process. This concern is the subject of several research and ...
Data quality maturity model for citizen science applications
(2019)
Advances in scientific projects and researches are a great initiative for real-life applications. Citizen science is the particularly new domain of science that has already proved that it can also be as helpful as classical ...
Yleiskatsaus suomalaisten ohjelmistoteknologiayritysten ilmastoystävällisyydestä ja hiilidioksidipäästöjen laskennasta
(2023)
Ohjelmistoteknologialla parannetaan paljon muiden alojen ilmastoystävällisyyttä vähentämällä päästöjen syntymistä teknologisilla ratkaisuilla. Itse ohjelmistoteknologian ilmastoystävällisyyteen ja hiilidioksidipäästöjen ...