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2022
Mark A Machine-Learning-Based Bibliometric Analysis of the Scientific Literature on Anal Cancer
Franco, Pierfrancesco ; Segelov, Eva ; Johnsson, Anders ^LU ; Riechelmann, Rachel ; Guren, Marianne G. ; Das, Prajnan ; Rao, Sheela ; Arnold, Dirk ; Spindler, Karen Lise Garm and Deutsch, Eric , et al. (2022) In Cancers 14(7).
- Contribution to journal › Article
Mark Artificial intelligence enabled radio propagation for communications – Part II: Scenario identification and channel modeling
Huang, Chen ; He, Ruisi ; Ai, Bo ; Molisch, Andreas F. ; Lau, Buon Kiong ^LU ; Haneda, Katsuyuki ; Liu, Bo ; Wang, Cheng-Xiang ; Yang, Mi and Oestges, Claude , et al. (2022) In IEEE Transactions on Antennas and Propagation 70(6). p.3955-3969
- Contribution to journal › Scientific review
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 Evaluating Three Supervised Machine Learning Algorithms (LM, BR, and SCG) for Daily Pan Evaporation Estimation in a Semi-Arid Region
Aghelpour, Pouya ; Bagheri-Khalili, Zahra ; Varshavian, Vahid and Mohammadi, Babak ^LU (2022) In Water (Switzerland) 14(21).
- Contribution to journal › Article
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 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 Predicting the Solubility of Inorganic Ion Pairs in Water
Rahman, Tasnim ; Petrus, Enric ; Segado, Mireia ; Martin, Nicolas P. ; Palys, Lauren N. ; Rambaran, Mark A. ^LU ; Ohlin, C. Andre ; Bo, Carles and Nyman, May (2022) In Angewandte Chemie - International Edition 61(19).
- 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

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