Taheri, M., Chen, Y., Zhang, C., Berardehi, Z. R., Roohi, M.
& Khooban, M. H. (2023).
A finite-time sliding mode control technique for synchronization chaotic fractional-order laser systems with application on encryption of color images.
Optik,
285, Article 170948.
https://doi.org/10.1016/j.ijleo.2023.170948
Paredis, R.
, Gomes, C. & Vangheluwe, H. (2023).
A Family of Digital T Workflows and Architectures: Exploring Two Cases. In A. Smirnov, H. Panetto & K. Madani (Eds.),
Innovative Intelligent Industrial Production and Logistics: First International Conference, IN4PL 2020, Virtual Event, November 2-4, 2020, and Second International Conference, IN4PL 2021, Virtual Event, October 25-27, 2021, Revised Selected Papers (pp. 93-109). Springer.
https://doi.org/10.1007/978-3-031-37228-5_6
Rask, J. K., Madsen, F. P., Battle, N., Freitas, L.
, Macedo, H. D. & Larsen, P. G. (2022).
Advanced VDM Support in Visual Studio Code. In H. D. Macedo & K. Pierce (Eds.),
Proceedings of the 20th International Overture Workshop (pp. 34-49)
https://doi.org/10.48550/arXiv.2208.10233
Frasheri, M., Ejersbo, H., Thule, C.
, Gomes, C., Kvistgaard, J. L.
, Larsen, P. G. & Esterle, L. (2023).
Addressing time discrepancy between digital and physical twins.
Robotics and Autonomous Systems,
161, Article 104347.
https://doi.org/10.1016/j.robot.2022.104347
Gheisarnejad Chirani, M., Mirzavand, G., Rouhi Ardeshiri, R.
, Andresen, B. & Khooban, M. H. (2023).
Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning.
IEEE Transactions on Emerging Topics in Computational Intelligence,
7(1), 102-110.
https://doi.org/10.1109/TETCI.2022.3181159
Rezaei, M. A.
, Fathollahidehkordi, A., Rezaei, S., Hu, J., Gheisarnejad Chirani, M., Teimouri, A. R., Sharma, R., Mosavi, A. H.
& Khooban, M. H. (2022).
Adaptation of A Real-Time Deep Learning Approach with An Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles.
IEEE Access,
10, 132271-132287.
https://doi.org/10.1109/ACCESS.2022.3228916
Zinsmeister, D., Licklederer, T., Christange, F., Tzscheutschler, P.
& Perić, V. S. (2021).
A comparison of prosumer system configurations in district heating networks.
Energy Reports,
7, 430-439.
https://doi.org/10.1016/j.egyr.2021.08.085
Ronchini, M., Zamani, M., Huynh, H. A.
, Rezaeiyan, Y., Panuccio, G.
, Farkhani, H. & Moradi, F. (2022).
A CMOS-based neuromorphic device for seizure detection from LFP signals.
Journal of Physics D: Applied Physics,
55(1), Article 014001.
https://doi.org/10.1088/1361-6463/ac28bb
Larsen, P. G., Macedo, H. D., Fitzgerald, J., Pfeifer, H., Benedikt, M., Tonetta, S., Marguglio, A., Gusmeroli, S. & Jr, G. S. (2020).
A Cloud-Based Collaboration Platform for Model-Based Design of Cyber-Physical Systems. In F. De Rango, T. Ören & M. Obaidat (Eds.),
Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (Vol. Volume 1: SIMULTECH, pp. 263-270). SCITEPRESS Digital Library.
https://doi.org/10.5220/0009892802630270
Høye, T. T., Dyrmann, M., Kjær, C., Nielsen, J., Bruus, M., Mielec, C. L., Vesterdal, M. S.
, Bjerge, K., Madsen, S. A.
, Jeppesen, M. R. & Melvad, C. (2022).
Accurate image-based identification of macroinvertebrate specimens using deep learning — How much training data is needed? PeerJ,
10, Article e13837.
https://doi.org/10.7717/peerj.13837
Bjerge, K., Alison, J., Dyrmann, M., Frigaard, C. E., Mann, H. M. R. & Høye, T. T. (2022).
Accurate detection and identification of insects from camera trap images with deep learning. bioRxiv.
https://doi.org/10.1101/2022.10.25.513484
Bjerge, K., Alison, J., Dyrmann, M., Frigaard, C. E., Mann, H. M. R. & Høye, T. T. (2023).
Accurate detection and identification of insects from camera trap images with deep learning.
PLOS Sustainability and Transformation,
2(3).
https://doi.org/10.1371/journal.pstr.0000051
Koolivand, Y.
, Rezayean, Y., Zamani, M., Akbari, M., Shoaei, O., Tang, K. T.
& Moradi, F. (2023).
A 69MHz-Bandwidth 40V/μs-Slew-rate 3nV/√Hz-Noises 4.5μV-Offset Chopper Operational Amplifier. In
2023 IEEE Custom Integrated Circuits Conference (CICC): Proceedings IEEE.
https://doi.org/10.1109/CICC57935.2023.10121273
Rezaeiyan, Y., Kolivand, Y.
, Zamani, M., Shoaei, O., Akbari, M.
, Moradi, F. & Tang, K. T. (2023).
A 4.5 μW Miniaturized 3-Channel Wireless Intra-Cardiac Acquisition System.
IEEE Transactions on Biomedical Circuits and Systems,
17(5), 1097-1110.
https://doi.org/10.1109/TBCAS.2023.3294560
Ghanatian, H., Farkhani, H., Rezaeiyan, Y., Bohnert, T., Ferreira, R.
& Moradi, F. (2022).
A 3-Bit Flash Spin-Orbit Torque (SOT)-Analog-to-Digital Converter (ADC).
IEEE Transactions on Electron Devices,
69(4), 1691-1697.
https://doi.org/10.1109/TED.2022.3142649
Zamani, M., Rezaeiyan, Y., Huynh, H. A.
, Ronchini, M., Farkhani, H. & Moradi, F. (2021).
A 2.3-μW Capacitively Coupled Chopper-Stabilized Neural Amplifier with Input Impedance of 6.7 GΩ.
IEEE Solid-State Circuits Letters,
4, 133 - 136. Article 9471814.
https://doi.org/10.1109/LSSC.2021.3094237
Kumar, R. R., Hänsel, A., Far Brusatori, M., Nielsen, L., Augustin, L.
, Volet, N. & Heck, M. (2022).
A 10-kHz intrinsic linewidth coupled extended-cavity DBR laser monolithically integrated on an InP platform.
Optics Letters,
47(9), 2346-2349 .
https://doi.org/10.1364/OL.454478
Malik, J., Kiranyaz, S., Al-Raoush, R. I., Monga, O., Garnier, P., Foufou, S., Bouras, A.
, Iosifidis, A., Gabbouj, M. & Baveye, P. C. (2022).
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images.
Computers & Geosciences,
159, Article 105017.
https://doi.org/10.1016/j.cageo.2021.105017
Zhang, Y., Kong, C.
, Davidsen, R. S., Scardera, G., Duan, L., Thong Khoo, K., Payne, D. N. R., Hoex, B. & Abbott, M. D. (2020).
3D characterisation using plasma FIB-SEM: A large-area tomography technique for complex surfaces like black silicon.
Ultramicroscopy,
218(113084), Article 113084.
https://doi.org/10.1016/j.ultramic.2020.113084
Nascimento Duplat, D.
, Far Brusatori, M., Degli Eredi, I., Nielsen, L., Tønning, P.
, Volet, N. & Heck, M. (2021).
10-Hz-intrinsic-linewidth hybridly-integrated semiconductor ring laser using generic foundry platforms. Abstract from 27th International Semiconductor Laser Conference, Potsdam, Germany.
https://doi.org/10.1109/ISLC51662.2021.9615645