Authors: Sahoo, Subham, Blaabjerg, Frede
Superior Title: Sahoo , S & Blaabjerg , F 2023 , Data-Driven Controllability of Power Electronics Under Boundary Conditions – A Physics-Informed Neural Network Based Approach . in APEC 2023 - 38th Annual IEEE Applied Power Electronics Conference and Exposition . Orlando, FL , pp. 2801-2806 . https://doi.org/10.1109/APEC43580.2023.10131654
Subject Terms: Active front end rectifier, Artificial Intelligence, Control, Grid connected applications, Grid connected converter, Machine learning, Neural Networks, Physics informed machine learning, Physics informed neural network, Power Electronics, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy, SDG 7 - Affordable and Clean Energy, /dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities, SDG 11 - Sustainable Cities and Communities
File Description: application/pdf
Authors: van Berkel, Niels
Contributors: Byrne, Michael F., Parsa, Nasim, Greenhill, Alexandra, Chahal, Daljeet, Ahmad, Omer, Bagci, Ulas
Superior Title: van Berkel , N 2023 , Making AI Work: Designing and Evaluating AI Systems in Healthcare . in M F Byrne , N Parsa , A Greenhill , D Chahal , O Ahmad & U Bagci (eds) , AI in Clinical Medicine : A Practical Guide for Healthcare Professionals . Wiley-Blackwell , pp. 448-458 . https://doi.org/10.1002/9781119790686.ch41
Subject Terms: Artificial intelligence, Computer systems, Computing methodologies, Decision‐making, computer‐assisted, Expert systems, Machine learning, Medical informatics applications, Software, User‐centred design, User–computer interface
Authors: Behnam, Arman, Azad, Sasan, Daneshvar, Mohammadreza, Anvari-Moghaddam, Amjad, Marzband, Mousa
Superior Title: Behnam , A , Azad , S , Daneshvar , M , Anvari-Moghaddam , A & Marzband , M 2023 , Data Science Leverage and Big Data Analysis For Internet of Things Energy Systems . in IoT Enabled Multi-Energy Systems : From Isolated Energy Grids to Modern Interconnected Networks . Academic Press , pp. 87-109 . https://doi.org/10.1016/B978-0-323-95421-1.00006-9
Subject Terms: Smart grid, Internet of Things, energy systems, big data, artificial intelligence, data science, integrated energy systems, machine learning, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy, SDG 7 - Affordable and Clean Energy, /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure, SDG 9 - Industry, Innovation, and Infrastructure, /dk/atira/pure/sustainabledevelopmentgoals/partnerships, SDG 17 - Partnerships for the Goals
Authors: Andersen, Kamilla Heimar, Schaffer, Markus, Johra, Hicham, Marszal-Pomianowska, Anna, O'Brien, William, Heiselberg, Per Kvols
Superior Title: Andersen , K H , Schaffer , M , Johra , H , Marszal-Pomianowska , A , O'Brien , W & Heiselberg , P K 2023 , Evaluation of Various Algorithms' Performance in Supervised Binary Classification for Occupant Detection Using a Dataset from a Residential Building . DCE Technical Reports , no. 319 , Department of the Built Environment, Aalborg University .
Subject Terms: Machine Learning, binary classification, occupant detection, open dataset, algorithm performance, /dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities, SDG 11 - Sustainable Cities and Communities, /dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production, SDG 12 - Responsible Consumption and Production, /dk/atira/pure/sustainabledevelopmentgoals/climate_action, SDG 13 - Climate Action
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Availability:
https://vbn.aau.dk/da/publications/1bfc2cc1-b7d1-4be8-8b7b-90a31a843482
https://vbn.aau.dk/ws/files/550646591/technical_report_VBN_algorithm_test.pdf
Authors: Moradzadeh, Arash, Moayyed, Hamed, Mohammadi-ivatloo, Behnam, Aguiar, António Pedro, Anvari-Moghaddam, Amjad, Abdul-Malek, Zulkurnain
Superior Title: Moradzadeh , A , Moayyed , H , Mohammadi-ivatloo , B , Aguiar , A P , Anvari-Moghaddam , A & Abdul-Malek , Z 2023 , ' Generalized Global Solar Radiation Forecasting Model via Cyber-Secure Deep Federated Learning ' , Environmental Science and Pollution Research , pp. 1-15 . https://doi.org/10.1007/s11356-023-30224-1
Subject Terms: Renewable energy resources, Solar energy, Solar radiation forecasting, Cyber-security, Federated learning, Deep learning, Machine learning, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy, SDG 7 - Affordable and Clean Energy, /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure, SDG 9 - Industry, Innovation, and Infrastructure, /dk/atira/pure/sustainabledevelopmentgoals/partnerships, SDG 17 - Partnerships for the Goals
File Description: application/pdf
Superior Title: Burmeister , N , Frederiksen , R D , Hog , E & Nielsen , P 2023 , ' Exploration of Production Data for Predictive Maintenance of Industrial Equipment : A Case Study ' , IEEE Access , vol. 11 , pp. 102025-102037 . https://doi.org/10.1109/ACCESS.2023.3315842
Subject Terms: Case study, explainability, industrial equipment, interpretability, machine learning, predictive maintenance, preventive maintenance
Authors: Nabrdalik, Katarzyna, Kwiendacz, Hanna, Irlik, Krzysztof, Hendel, Mirela, Drożdż, Karolina, Wijata, Agata M., Nalepa, Jakub, Janota, Oliwia, Wójcik, Wiktoria, Gumprecht, Janusz, Lip, Gregory Y. H.
Superior Title: Nabrdalik , K , Kwiendacz , H , Irlik , K , Hendel , M , Drożdż , K , Wijata , A M , Nalepa , J , Janota , O , Wójcik , W , Gumprecht , J & Lip , G Y H 2023 , ' Machine learning identification of risk factors for heart failure in patients with diabetes mellitus with metabolic dysfunction associated steatotic liver disease (MASLD): the Silesia Diabetes-Heart Project ' , Cardiovascular Diabetology , vol. 22 , 318 . https://doi.org/10.1186/s12933-023-02014-z
Subject Terms: Diabetes, Heart failure, Machine learning, Metabolic dysfunction associated steatotic liver disease
File Description: application/pdf
Availability:
https://doi.org/10.1186/s12933-023-02014-z
https://vbn.aau.dk/da/publications/c2a9f640-966b-47af-8d94-ee10ee9a34fd
https://vbn.aau.dk/ws/files/609826996/Nabrdalik_et_al._2023_._Machine_learning_identification_of_risk_factors_for_heart_failure_in_patients_with_diabetes_mellitus_with_metabolic_dysfunction_associated_steatotic_liver_disease_MASLD_the_Silesia_Diabetes-Heart.pdf
http://www.scopus.com/inward/record.url?scp=85177078064&partnerID=8YFLogxK
Authors: Tyler, Chris, Akerlof, K. L., Allegra, Alessandro, Arnold, Zachary, Canino, Henriette, Doornenbal, Marius A., Goldstein, Josh A., Budtz Pedersen, David, Sutherland, William J.
Superior Title: Tyler , C , Akerlof , K L , Allegra , A , Arnold , Z , Canino , H , Doornenbal , M A , Goldstein , J A , Budtz Pedersen , D & Sutherland , W J 2023 , ' AI tools as science policy advisers? The potential and the pitfalls ' , Nature , vol. 622 , no. 7981 , pp. 27-30 . https://doi.org/10.1038/d41586-023-02999-3
Subject Terms: Computer science, Government, Machine learning, Policy
Authors: Nechaev, Ivan, Hain, Daniel S.
Superior Title: Nechaev , I & Hain , D S 2023 , ' Social impacts reflected in CSR reports : Method of extraction and link to firms innovation capacity ' , Journal of Cleaner Production , vol. 429 , 139256 . https://doi.org/10.1016/j.jclepro.2023.139256
Subject Terms: Social impact, Corporate social responsibility (CSR) report, Global Reporting Initiative (GRI), Natural language processing, Machine learning, CSR and innovation interconnection, /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure, name=SDG 9 - Industry, Innovation, and Infrastructure, /dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production, name=SDG 12 - Responsible Consumption and Production
File Description: application/pdf
Superior Title: Li , S , Oshnoei , A , Blaabjerg , F & Anvari-Moghaddam , A 2023 , ' Hierarchical Control for Microgrids : A Survey on Classical and Machine Learning-Based Methods ' , Sustainability , vol. 15 , no. 11 , 8952 , pp. 1-22 . https://doi.org/10.3390/su15118952
Subject Terms: microgrids, communication links, hierarchical control, machine learning, reinforcement learning, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy, name=SDG 7 - Affordable and Clean Energy, /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure, name=SDG 9 - Industry, Innovation, and Infrastructure
File Description: application/pdf
Superior Title: Pouliou , P , Horvath , A S & Palamas , G 2023 , ' Speculative hybrids : Investigating the generation of conceptual architectural forms through the use of 3D generative adversarial networks ' , International Journal of Architectural Computing , vol. 21 , no. 2 , pp. 315-336 . https://doi.org/10.1177/14780771231168229
Subject Terms: architecture, artificial intelligence, computational design, design process, generative design, GNN, machine learning, point cloud
File Description: application/pdf
Superior Title: Garigliotti , D , Balog , K , Hose , K & Bjerva , J 2023 , ' Recommending tasks based on search queries and missions ' , Natural Language Engineering , vol. 36 , no. 2 , pp. 1-25 . https://doi.org/10.1017/S1351324923000219
Subject Terms: Information Retrieval, Machine Learning
File Description: application/pdf
Authors: Strodthoff, Nils, Mehari, Temesgen, Nagel, Claudia, Aston, Philip J., Sundar, Ashish, Graff, Claus, Kanters, Jørgen K., Haverkamp, Wilhelm, Dössel, Olaf, Loewe, Axel, Bär, Markus, Schaeffter, Tobias
Superior Title: Strodthoff , N , Mehari , T , Nagel , C , Aston , P J , Sundar , A , Graff , C , Kanters , J K , Haverkamp , W , Dössel , O , Loewe , A , Bär , M & Schaeffter , T 2023 , ' PTB-XL+, a comprehensive electrocardiographic feature dataset ' , Scientific Data , vol. 10 , no. 1 , 279 . https://doi.org/10.1038/s41597-023-02153-8
Subject Terms: Algorithms, Electrocardiography/methods, Humans, Machine Learning, Software
File Description: application/pdf
Authors: Hadjiat, Yacine, Arendt-Nielsen, Lars
Superior Title: Hadjiat , Y & Arendt-Nielsen , L 2023 , ' Digital health in pain assessment, diagnosis, and management : Overview and perspectives ' , Frontiers in Pain Research , vol. 4 , 1097379 . https://doi.org/10.3389/fpain.2023.1097379
Subject Terms: artificial intelligence, digital biomarkers, digital health, health system, machine learning, pain, research application, telehealth
File Description: application/pdf
Authors: Prelaj, Arsela, Galli, Edoardo Gregorio, Miskovic, Vanja, Pesenti, Mattia, Viscardi, Giuseppe, Pedica, Benedetta, Mazzeo, Laura, Bottiglieri, Achille, Provenzano, Leonardo, Spagnoletti, Andrea, Marinacci, Roberto, De Toma, Alessandro, Proto, Claudia, Ferrara, Roberto, Brambilla, Marta, Occhipinti, Mario, Manglaviti, Sara, Galli, Giulia, Signorelli, Diego, Giani, Claudia, Beninato, Teresa, Pircher, Chiara Carlotta, Rametta, Alessandro, Kosta, Sokol, Zanitti, Michele, Di Mauro, Maria Rosa, Rinaldi, Arturo, Di Gregorio, Settimio, Antonia, Martinetti, Garassino, Marina Chiara, de Braud, Filippo G.M., Restelli, Marcello, Lo Russo, Giuseppe, Ganzinelli, Monica, Trovò, Francesco, Pedrocchi, Alessandra Laura Giulia
Superior Title: Prelaj , A , Galli , E G , Miskovic , V , Pesenti , M , Viscardi , G , Pedica , B , Mazzeo , L , Bottiglieri , A , Provenzano , L , Spagnoletti , A , Marinacci , R , De Toma , A , Proto , C , Ferrara , R , Brambilla , M , Occhipinti , M , Manglaviti , S , Galli , G , Signorelli , D , Giani , C , Beninato , T , Pircher , C C , Rametta , A , Kosta , S , ....
Subject Terms: explainable artificial intelligence, immunotherapy, machine learning, non-small cell lung cancer, treatment
File Description: application/pdf
Authors: Li, Xingjun, Yu, Dan, Vilsen, Søren Byg, Stroe, Daniel-Ioan
Superior Title: Li , X , Yu , D , Vilsen , S B & Stroe , D-I 2023 , ' The development of machine learning-based remaining useful life prediction for lithium-ion batteries ' , Journal of Energy Chemistry , vol. 82 , pp. 103-121 . https://doi.org/10.1016/j.jechem.2023.03.026
Subject Terms: Lifetime extension, Lithium-ion batteries, Machine learning, Remaining useful lifetime prediction, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy, name=SDG 7 - Affordable and Clean Energy, /dk/atira/pure/sustainabledevelopmentgoals/climate_action, name=SDG 13 - Climate Action
File Description: application/pdf
Authors: Guo, Jia, Che, Yunhong, Pedersen, Kjeld, Stroe, Daniel Ioan
Superior Title: Guo , J , Che , Y , Pedersen , K & Stroe , D I 2023 , ' Battery impedance spectrum prediction from partial charging voltage curve by machine learning ' , Journal of Energy Chemistry , vol. 79 , pp. 211-221 . https://doi.org/10.1016/j.jechem.2023.01.004
Subject Terms: EIS, Graphite anode, Impedance spectrum prediction, Lithium-ion battery, Machine learning
File Description: application/pdf
Authors: Ibrahim, Abdalla, Vaidyanathan, Akshayaa, Primakov, Sergey, Belmans, Flore, Bottari, Fabio, Refaee, Turkey, Lovinfosse, Pierre, Jadoul, Alexandre, Derwael, Celine, Hertel, Fabian, Woodruff, Henry C., Zacho, Helle D., Walsh, Sean, Vos, Wim, Occhipinti, Mariaelena, Hanin, François-Xavier, Lambin, Philippe, Mottaghy, Felix M., Hustinx, Roland
Superior Title: Ibrahim , A , Vaidyanathan , A , Primakov , S , Belmans , F , Bottari , F , Refaee , T , Lovinfosse , P , Jadoul , A , Derwael , C , Hertel , F , Woodruff , H C , Zacho , H D , Walsh , S , Vos , W , Occhipinti , M , Hanin , F-X , Lambin , P , Mottaghy , F M & Hustinx , R 2023 , ' Deep learning based identification of bone scintigraphies containing metastatic bone disease foci ' , Cancer Imaging , vol. ....
Subject Terms: Algorithms, Bone Neoplasms/diagnostic imaging, Deep Learning, Humans, Machine Learning, Male, Radionuclide Imaging, Activation maps, Metastatic bone disease, Bone scintigraphy
File Description: application/pdf
Availability:
https://doi.org/10.1186/s40644-023-00524-3
https://vbn.aau.dk/da/publications/cbf09cba-8ddd-4d08-9328-4fc5695ebf32
https://vbn.aau.dk/ws/files/516104558/Ibrahim_et_al._2023_._Deep_learning_based_identification_of_bone_scintigraphies_containing_metastatic_bone_disease_foci.pdf
http://www.scopus.com/inward/record.url?scp=85146916187&partnerID=8YFLogxK
Authors: Ali, Haider, Niazi, Imran Khan, Russell, Brian K., Crofts, Catherine, Madanian, Samaneh, White, David
Superior Title: Ali , H , Niazi , I K , Russell , B K , Crofts , C , Madanian , S & White , D 2023 , ' Review of Time Domain Electronic Medical Record Taxonomies in the Application of Machine Learning ' , Electronics , vol. 12 , no. 3 , 554 . https://doi.org/10.3390/electronics12030554
Subject Terms: artificial intelligence, electronic medical records, machine learning, systemic review, time series
File Description: application/pdf
Authors: Kastrup, Nanna, Bjerregaard, Helene H., Laursen, Mogens, Valentin, Jan B., Johnsen, Søren P., Jensen, Cathrine E.
Superior Title: Kastrup , N , Bjerregaard , H H , Laursen , M , Valentin , J B , Johnsen , S P & Jensen , C E 2023 , ' An AI-based patient-specific clinical decision support system for OA patients choosing surgery or not : study protocol for a single-centre, parallel-group, non-inferiority randomised controlled trial ' , Trials , vol. 24 , 24 . https://doi.org/10.1186/s13063-022-07039-5
Subject Terms: Artificial intelligence, Clinical decision support system, Cost-effectiveness, Machine learning, Osteoarthritis, Patient-reported outcomes, Randomised controlled trial, Total hip replacement, Total knee replacement, Knee Joint/surgery, Humans, Decision Support Systems, Clinical, Randomized Controlled Trials as Topic, Cost-Benefit Analysis, Adult
File Description: application/pdf
Availability:
https://doi.org/10.1186/s13063-022-07039-5
https://vbn.aau.dk/da/publications/c69c752d-0ca1-416d-959d-081478303692
https://vbn.aau.dk/ws/files/515394521/Kastrup_et_al._2023_._An_AI_based_patient_specific_clinical_decision_support_system_for_OA_patients_choosing_surgery_or_not_study_protocol_for_a_single_centre_parallel_group_non_inferiority_randomised_controlled_trial.pdf
http://www.scopus.com/inward/record.url?scp=85146271340&partnerID=8YFLogxK