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2022
Mark Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models
Abdallah, Mohammed ; Mohammadi, Babak ^LU ; Modathir, Modathir A. ; Omer, Abubaker ; Cheraghalizadeh, Majid ; Eldow, Mohamed E.E. and Duan, Zheng ^LU (2022) In Journal of Hydrology: Regional Studies 44.
- Contribution to journal › Article
Mark Real-time Train Arrival Time Prediction at Multiple Stations and Arbitrary Times
Tiong, Kah Yong ^LU ; Ma, Zhenliang and Palmqvist, Carl William ^LU (2022) 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC 2022-October. p.793-798
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Safety and usability of wearable accelerometers for stroke detection the STROKE ALARM PRO 1 study
Esbjörnsson, Magnus ^LU and Ullberg, Teresa ^LU (2022) In Journal of Stroke and Cerebrovascular Diseases 31(11).
- Contribution to journal › Article
Mark Prediction and exposure of delays from a base station perspective in 5G and beyond networks
Rao, Akhila ; Tärneberg, William ^LU ; Fitzgerald, Emma ^LU ; Corneo, Lorenzo ; Zavodovski, Aleksandr ; Rai, Omkar ; Johansson, Sixten ; Berggren, Viktor ; Riaz, Hassam and Kilinc, Caner , et al. (2022) 2022 ACM SIGCOMM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases, 5G-MeMU 2022, co-located with ACM SIGCOMM 2022 In 5G-MeMU 2022 - Proceedings of the ACM SIGCOMM 2022 Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases - Part of SIGCOMM 2022 p.8-14
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark A Novel Method for Smart Fire Detection Using Acoustic Measurements and Machine Learning : Proof of Concept
Martinsson, John ; Runefors, Marcus ^LU ; Frantzich, Håkan ^LU ; Glebe, Dag ; McNamee, Margaret ^LU and Mogren, Olof (2022) In Fire Technology 58(6). p.3385-3403
- Contribution to journal › Article
Mark A Combination of Metaheuristic Optimization Algorithms and Machine Learning Methods Improves the Prediction of Groundwater Level
Kayhomayoon, Zahra ; Babaeian, Faezeh ; Milan, Sami Ghordoyee ; Azar, Naser Arya and Berndtsson, Ronny ^LU (2022) In Water (Switzerland) 14(5).
- Contribution to journal › Article
Mark A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
Hall, Ola ^LU ; Ohlsson, Mattias ^LU and Rögnvaldsson, Thorsteinn (2022) In Patterns 3(10).
- Contribution to journal › Scientific review
Mark Converting the genomic knowledge base to build protein specific machine learning prediction models; a classification study on thermophilic serine protease
Sunny, Jithin S. ; Kumar, Atul ^LU ; Nisha, Khairun and Saleena, Lilly M. (2022) In Biologia 77(12). p.3615-3622
- Contribution to journal › Article
Mark Roadmap on signal processing for next generation measurement systems
Iakovidis, Dimitris K. ; Ooi, Melanie ; Kuang, Ye Chow ; Demidenko, Serge ; Shestakov, Alexandr ; Sinitsin, Vladimir ; Henry, Manus ; Sciacchitano, Andrea ; Discetti, Stefano and Donati, Silvano , et al. (2022) In Measurement Science and Technology 33(1).
- Contribution to journal › Scientific review
Mark Critical appraisal of technologies to assess electrical activity during atrial fibrillation : a position paper from the European Heart Rhythm Association and European Society of Cardiology Working Group on eCardiology in collaboration with the Heart Rhythm Society, Asia Pacific Heart Rhythm Society, Latin American Heart Rhythm Society and Computing in Cardiology
De Groot, Natasja M.S. ; Shah, Dipen ; Boyle, Patrick M. ; Anter, Elad ; Clifford, Gari D. ; Deisenhofer, Isabel ; Deneke, Thomas ; Van Dessel, Pascal ; Doessel, Olaf and Dilaveris, Polychronis , et al. (2022) In Europace 24(2). p.313-330
- Contribution to journal › Scientific review

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