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Machine Learning Helps Reduce Energy Consumption in Base Stations

A new scheme has been developed by scientists with the help of machine learning to optimize both energy consumption and traffic prediction accuracy of cellular networks.

Kaoru otaTakehiro satoRyoichi shinkumaPhotomix companyKyoto universityMuroran institute of technologyShibaura institute of technologyNetwork magazine on novemberScheme basedMachine learning helps reduce energy consumptionProfessor ryoichi shinkumaShibaura instituteAssociate professor kaoru otaMuroran instituteAssociate professor takehiro sato

Towards greener smart cities with machine learning-based sleep schedules

The concept of smart cities is founded on sophisticated cellular networks that would not only connect humans in the future but also humans to other

Kaoru otaTakehiro satoRyoichi shinkumaCommunications technologyKyoto universityTokyo higher school of industryNetwork magazine on novemberTop global universityOsaka universityMuroran institute of technologyNational institute of informationShibaura institute of technologyMinistry of educationProfessor ryoichi shinkumaShibaura instituteAssociate professor kaoru ota

Environmental News Network - Towards Greener Smart Cities With Machine Learning-Based Sleep Schedules

A global perspective on environmental issues. Our mission is to inform, educate, enable and create a platform for global environmental action.

Kaoru otaTakehiro satoRyoichi shinkumaKyoto universityMuroran institute of technologyShibaura institute of technologyNetwork magazine on novemberProfessor ryoichi shinkumaShibaura instituteAssociate professor kaoru otaMuroran instituteAssociate professor takehiro satoEnvironmental newsEnvironmental policyClimate changeGreen building

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