Sahana, G., Gebreyesus, G., Cheruiyot Bett , R., Kinyua, J., Roos, N., MBI Tanga, C., Mwikirize, C., Akol, R., Khamis, F. M.
, Karstoft, H., Bjerge, K., Nkirote Kunyanga , C.
, Hansen, L. S., Nielsen, H. M., Lund, M. S., Geoffrey, S., Walusimbi, S. & Nakimbugwe, D. (2024).
FLYgene: Advancing Sustainable Breeding Programs and Genomic Tools for Black Soldier Fly (Hermetia illucens) in Kenya and Uganda. I
Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 633-633)
https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf
Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A.
& Iosifidis, A. (2024).
Vpit: real-time embedded single object 3D tracking using voxel pseudo images.
Neural Computing and Applications,
36(32), 20341-20354.
https://doi.org/10.1007/s00521-024-10259-2
Frasheri, M., Katsaros, P.
, Iosifidis, A., Hansen, S. T., Gomes, C., Evans, V. T. & Larsen, P. G. (2024).
System Monitoring through a Digital Twin. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.),
The Engineering of Digital Twins (s. 189-207). Springer.
https://doi.org/10.1007/978-3-031-66719-0_9
Gomes, C., Lucani Rötter, D. E., Iosifidis, A., Feng, H., Ejersbo, H.
& Frasheri, M. (2024).
Sensing and Communication of Data from the Physical Twin. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.),
The Engineering of Digital Twins (s. 147-171). Springer.
https://doi.org/10.1007/978-3-031-66719-0_7#citeas
Angelov, P., Bernardi, M. L., Nardini, F. M., Pecori, R., Valerio, L., Dini, P., Ashraf, S., Aversano, L., Bianchini, M., Brutti, A., Bukovsky, I., Cagnoni, S., Cao, J., Cimitile, M., Dazzi, P., Iammarino, M.
, Iosifidis, A., Michahelles, F., Mora, A. ... Welsh, M. (2024).
PerconAI 2024: 3rd Workshop on Pervasive and Resource-Constrained Artificial Intelligence - Welcome and Committees. I
2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (s. 34-35). IEEE.
https://doi.org/10.1109/PerComWorkshops59983.2024.10503466
Roy, D. B.
, Alison, J., August, T. A., Bélisle, M.
, Bjerge, K., Bowden, J. J., Bunsen, M. J., Cunha, F.
, Geissmann, Q., Goldmann, K., Gomez-Segura, A., Jain, A., Huijbers, C., Larrivée, M., Lawson, J. L.
, Mann, H. M., Mazerolle, M. J., McFarland, K. P., Pasi, L.
... Høye, T. T. (2024).
Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects.
Philosophical Transactions of the Royal Society B: Biological Sciences,
379(1904), Artikel 20230108.
https://doi.org/10.1098/rstb.2023.0108
Haldrup, M., Nazari, M., Gu, C.
, Rasmussen, M., Dyrskog, S., Ziegler Simonsen, C., Grønhøj, M., Poulsen, F. R.
, Ur Rehman, N. & Rosendal Korshoej, A. (2024).
Reliability and performance of the IRRAflow® system for intracranial lavage and evacuation of hematomas-A technical note.
PLOS ONE,
19(4 April), Artikel e0297131.
https://doi.org/10.1371/journal.pone.0297131
D’Ambrosio, F., Harbo, M., Contiero, D., Bonfigli, A. R., Cicconi, D., Heuer, N., Roos, A.
, Pedersen, C. F., Fabbietti, P. & Gagliardi, C. (2024).
Preact to lower the risk of falling by customized rehabilitation across Europe: the feasibility study protocol of the PRECISE project in Italy.
Frontiers in Public Health,
12, Artikel 1293621.
https://doi.org/10.3389/fpubh.2024.1293621
Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C.
& Gebreyesus, G. (2024).
Computer-vision based prediction of body traits and larval sex in black soldier fly. Abstract fra Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya.
https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf
Gebreyesus, G., Cheruiyot Bett , R., Nakimbugwe, D.
, Hansen, L. S., Nielsen, H. M., Karstoft, H., Bjerge, K., Nkirote Kunyanga , C., MBI Tanga, C., Mwikirize, C., Akol, R., Katumba, A., Khamis, F., Kinyua, J., Walusimbi, S., Geoffrey, S., Roos, N.
& Sahana, G. (2024).
Prospects of implementing black soldier fly (BSF) selective breeding in Kenya and Uganda: Status from the FlyGene Project. Abstract fra Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya.
https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf
Laakom, F., Raitoharju, J.
, Iosifidis, A. & Gabbouj, M. (2023).
Learning Distinct Features Helps, Provably. I D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis & F. Bonchi (red.),
Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part II (s. 206-222). Springer.
https://doi.org/10.1007/978-3-031-43415-0_13
Pham, X. H., Heiß, M., Tran, D., Nguyen, M. A., Nguyen, A. Q.
& Kayacan, E. (2023).
ORB-Net: End-to-end Planning Using Feature-based Imitation Learning for Autonomous Drone Racing. I
ISR Europe 2023: 56th International Symposium on Robotics, in cooperation with Fraunhofer IPA September 26 – 27, 2023 in Stuttgart (s. 16-21). VDE Verlag GmbH.
https://ieeexplore.ieee.org/document/10363048
Alvarez Tunon, O., Kanner, H.
, Ribeiro Marnet, L., Pham, X. H., Sejersen, J. L. F., Brodskiy, Y.
& Kayacan, E. (2023).
MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection. I
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (s. 6141-6148). IEEE.
https://doi.org/10.1109/IROS55552.2023.10341436
Asif, M. R., Kass, A., Westerhoff, R., Rawlinson, Z.
& Christiansen, A. V. (2023).
Automated data processing of a large-scale airborne time-domain electromagnetic survey by a deep learning expert system. Afhandling præsenteret på 8th International Workshop on Airborne Electromagnetics, Queensland, Australien.
Asif, M. R., Kass, A., Westerhoff, R., Rawlinson, Z.
, Christiansen, A. V. & Bording, T. S. (2023).
Automated Processing of a Large-Scale Airborne Electromagnetic Survey by Deep Learning. Afhandling præsenteret på NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , Storbritannien.
https://doi.org/10.3997/2214-4609.202320057
Meldgaard Madsen, L., Asif, M. R., Maurya, P. K., Kühl, A. K., Domenzain, D., Jensen, C., Martin, T., Bastani, M. & Persson, L. (2023).
Comparison of tTEM-IP and ERT-IP: Cases from Mine Tailing Sites in Sweden. Abstract fra NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , Storbritannien.
https://doi.org/10.3997/2214-4609.202320114
Nawoya, S., Ssemakula, F., Akol, R.
, Geissmann, Q., Karstoft, H., Bjerge, K., Mwikirize, C., Katumba, A.
& Gebreyesus, G. (2024).
Computer vision and deep learning in insects for food and feed production: A review.
Computers and Electronics in Agriculture,
216, Artikel 108503.
https://doi.org/10.1016/j.compag.2023.108503