Sökning: "green machine learning"

Visar resultat 1 - 5 av 14 avhandlingar innehållade orden green machine learning.

1. 1. Improving diagnosis of acute coronary syndromes in an emergency setting: A machine learning approach

   Författare :Michael Green; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; ensemble; artificial neural network; machine learning; acute coronary syndrome; electrocardiogram; case based explanation; decision support system;

   Sammanfattning : Acute coronary syndrome (ACS) is the biggest people killer in the western world today. Despite well trained physicians and reliable diagnostic tools, diagnosing ACS early in the emergency departments (ED) remains a challenge. LÄS MER

3. 2. Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining

   Författare :Eva García Martín; Håkan Grahn; Veselka Boeva; Emiliano Casalicchio; Jesse Read; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; machine learning; energy efficiency; data stream mining; green machine learning; edge computing; Computer Science; Datavetenskap;

   Sammanfattning : Energy efficiency in machine learning explores how to build machine learning algorithms and models with low computational and power requirements. Although energy consumption is starting to gain interest in the field of machine learning, still the majority of solutions focus on obtaining the highest predictive accuracy, without a clear focus on sustainability. LÄS MER

4. 3. Extraction and Energy Efficient Processing of Streaming Data

   Författare :Eva García-Martín; Niklas Lavesson; Håkan Grahn; Albert Bifet; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; machine learning; green computing; data mining; data stream mining; green machine learning;

   Sammanfattning : The interest in machine learning algorithms is increasing, in parallel with the advancements in hardware and software required to mine large-scale datasets. Machine learning algorithms account for a significant amount of energy consumed in data centers, which impacts the global energy consumption. LÄS MER

5. 4. Data Driven AI Assisted Green Network Design and Management

   Författare :Meysam Masoudi; Cicek Cavdar; Jens Zander; Muhammad Ali Imran; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 6G; 5G; Energy efficiency; Machine learning; Reinforcement learning; Network architecture; Sleep modes; Mobile networks; 5G; C-RAN; nätverksarkitektur; nätverksdelning; maskininlärning;

   Sammanfattning : The energy consumption of mobile networks is increasing due to an increase in traffic demands and the number of connected users to the network. To assure the sustainability of mobile networks, energy efficiency must be a key design pillar of the next generations of mobile networks. LÄS MER

7. 5. Energy consumption prediction and routing for electric commercial vehicles

   Författare :Rafael Basso; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bayesian Inference; Machine Learning; Energy Consumption; Green Logistics; Reinforcement Learning; Electric Vehicles; Vehicle Routing; Eco-Routing;

   Sammanfattning : With the recent growing interest for electric vehicles as one of the initiatives to help tackle pollution and climate change, several opportunities and challenges emerge. This kind of vehicle releases no tailpipe emissions, is quieter, more energy efficient in terms of tank-to-wheels and simpler, which can lead to less maintenance. LÄS MER