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Kraemer, Frank Alexander
324  Ergebnisse:
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1

Uncertainty-aware autonomous sensing with deep reinforcemen..:

Murad, Abdulmajid ; Kraemer, Frank Alexander ; Bach, Kerstin.
Future Generation Computer Systems.  156 (2024)  - p. 242-253 , 2024
Link: https://doi.org/10.1016/..
 
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2

Towards containerized, reuse-oriented AI deployment platfor..:

Veiga, Tiago ; Asad, Hafiz Areeb ; Kraemer, Frank Alexander.
Future Generation Computer Systems.  142 (2023)  - p. 4-13 , 2023
Link: https://doi.org/10.1016/..
 
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3

Poster Abstract: Towards Autonomous Utility-Aware Energy Ma..:

, In: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems,
Asad, Hafiz Areeb ; Kraemer, Frank Alexander ; Bach, Kerstin. - p. 534-535 , 2023
Link: https://dl.acm.org/doi/1..
 
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4

Online Machine Learning for 1-Day-Ahead Prediction of Indoo..:

Kraemer, Frank Alexander ; Asad, Hafiz Areeb ; Bach, Kerstin.
IEEE Access.  11 (2023)  - p. 38417-38425 , 2023
Link: https://doi.org/10.1109/..
 
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5

An Analysis of Design Parameters for Energy Management of W..:

, In: 2022 IEEE International Conference on Industrial Technology (ICIT),
Espe, Asbjorn Engmark ; Andersen, Sondre Ninive ; Rossi, Pierluigi Salvo.. - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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6

Value of Information in Wireless Sensor Network Application..:

Alawad, Faiga ; Kraemer, Frank Alexander
IEEE Sensors Journal.  22 (2022)  10 - p. 9228-9245 , 2022
Link: https://doi.org/10.1109/..
 
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7

Learning attention models for resource-constrained, self-ad..:

, In: Proceedings of the Conference on Research in Adaptive and Convergent Systems,
Asad, Hafiz Areeb ; Kraemer, Frank Alexander ; Bach, Kerstin.. - p. 165-171 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

Probabilistic Deep Learning to Quantify Uncertainty in Air ..:

Murad, Abdulmajid ; Kraemer, Frank Alexander ; Bach, Kerstin.
Sensors.  21 (2021)  23 - p. 8009 , 2021
Link: https://doi.org/10.3390/..
 
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9

Exploring the computational cost of machine learning at the..:

Gómez-Carmona, Oihane ; Casado-Mansilla, Diego ; Kraemer, Frank Alexander..
Future Generation Computer Systems.  112 (2020)  - p. 670-683 , 2020
Link: https://doi.org/10.1016/..
 
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10

Information-driven adaptive sensing based on deep reinforce..:

, In: Proceedings of the 10th International Conference on the Internet of Things,
Murad, Abdulmajid ; Kraemer, Frank Alexander ; Bach, Kerstin. - p. 1-8 , 2020
Link: https://dl.acm.org/doi/1..
 
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11

10th International Conference on the Internet of Things Com..:

Davidsson, Paul ; Langheinrich, Marc ; Linde, Per... , 2020
Link: https://dl.acm.org/doi/1..
 
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12

Adaptive, Correlation-Based Training Data Selection for IoT..:

, In: 2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS),
Braten, Anders Eivind ; Kraemer, Frank Alexander ; Palma, David - p. 169-176 , 2019
Link: https://doi.org/10.1109/..
 
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13

Cost-Aware Dual Prediction Scheme for Reducing Transmission..:

, In: 2019 27th European Signal Processing Conference (EUSIPCO),
Hakansson, Victor Wattin ; Venkategowda, Naveen K. D. ; Kraemer, Frank Alexander. - p. 1-5 , 2019
Link: https://doi.org/10.23919..
 
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14

Energy-Accuracy Tradeoff for Efficient Noise Monitoring and..:

, In: Proceedings of the 9th International Conference on the Internet of Things,
Kraemer, Frank Alexander ; Alawad, Faiga ; Bosch, Ida Marie Vestgøte - p. 1-8 , 2019
Link: https://dl.acm.org/doi/1..
 
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15

IoT Sensor Gym : Training Autonomous IoT Devices with De..:

, In: Proceedings of the 9th International Conference on the Internet of Things,
Murad, Abdulmajid ; Bach, Kerstin ; Kraemer, Frank Alexander. - p. 1-4 , 2019
Link: https://dl.acm.org/doi/1..
 
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