Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknologi for eksempel tidsskriftsartikler, bøger, rapporter m.v.

Instituttet udgiver også tekniske rapporter, som du kan læse mere om under Tekniske rapporter.

Under ph.d.-afhandlinger finder du instituttets publicerede ph.d.-afhandlinger.

Publikationsliste

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Kamari, A. & Schultz, C. P. L. (2023). How can LCA inform early-stage design to meet Danish regulations? The sustainability opportunity metric. I E. Hjelseth, S. F. Sujan & R. J Scherer (red.), eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022: Proceedings of the 14th European Conference on Product and Process Modelling (ECPPM 2022), September 14-16, 2022, Trondheim, Norway. (Bind 1, s. 27-34). CRC Press. https://doi.org/10.1201/9781003354222-427, https://doi.org/10.1201/9781003354222-4

Kakavandi, F., de Reus, R., Gomes, C., Heidari, N., Iosifidis, A. & Larsen, P. G. (2022). Product Quality Control in Assembly Machine under Data Restricted Settings. I 2022 IEEE 20th International Conference on Industrial Informatics, INDIN 2022 (s. 735-741). IEEE. https://doi.org/10.1109/INDIN51773.2022.9976173

Kakavandi, F. & Larsen, P. G. (2023). Explainable Product Quality Assessment in a Medical Device Assembly Pilot Line. I 2022 10th International Conference on Control, Mechatronics and Automation, ICCMA 2022 (s. 271-275). IEEE. https://doi.org/10.1109/ICCMA56665.2022.10011621

Kakavandi, F., Gomes, C., de Reus, R., Badstue, J., Jensen, J. L., Larsen, P. G. & Iosifidis, A. (2023). Towards Developing a Digital Twin for a Manufacturing Pilot Line: An Industrial Case Study. I E. Karaarslan, Ö. Aydin, Ü. Cali & M. Challenger (red.), Digital Twin Driven Intelligent Systems and Emerging Metaverse (s. 39-64). Springer. https://doi.org/10.1007/978-981-99-0252-1_2

Junghanns, A., Blochwitz, T., Bertsch, C., Sommer, T., Wernersson, K., Pillekeit, A., Zacharias, I., Blesken, M., Mai, P. R., Schuch, K., Schulze, C., Gonçalves Gomes, C. Â. & Najafi, M. (2021). The Functional Mock-up Interface 3.0 - New Features Enabling New Applications. I M. Sjölund, L. Buffoni, A. Pop & L. Ochel (red.), Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021 (s. 17-26) https://doi.org/10.3384/ecp2118117

Jørgensen, U., Kristensen, T., Jørgensen, J. R., Kongsted, A. G., De Notaris, C., Nielsen, C., Mortensen, E. Ø., Ambye-Jensen, M., Jensen, S. K., Stødkilde-Jørgensen, L., Dalsgaard, T. K., Møller, A. H., Grøn Sørensen, C., Asp, T., Lehmann Olsen, F. & Gylling, M. (2021). Green biorefining of grassland biomass. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport Nr. 193 https://dcapub.au.dk/djfpublikation/index.asp?action=show&id=1480

Jørgensen, S. D., Kidmose, P., Mikkelsen, K., Blech, M., Hemmsen, M. C., Rank, M. L. & Kjaer, T. W. (Accepteret/In press). Long-term ear-EEG monitoring of sleep – A case study during shift work. Journal of Sleep Research. https://doi.org/10.1111/jsr.13853

Johansen, K. W., Nielsen, R. O., Schultz, C. P. L. & Teizer, J. (2020). Non-monotonic Reasoning For Automated Progress Analysis Of Construction Operations. I N. Dawood , F. Pour Rahimian, S. Seyedzadeh & M. Sheikhkhoshkar (red.), Enabling the Development and Implementation of Digital Twins: Proceedings of the 20th International Conference on Construction Applications of Virtual Reality (s. 292-303) https://www.researchgate.net/profile/Farzad-Pour-Rahimian/publication/344444905_Enabling_the_Development_and_Implementation_of_Digital_Twins_Proceedings_of_the_20th_International_Conference_on_Construction_Applications_of_Virtual_Reality/links/5fb3ec4445851518fdad5eab/Enabling-the-Development-and-Implementation-of-Digital-Twins-Proceedings-of-the-20th-International-Conference-on-Construction-Applications-of-Virtual-Reality.pdf

Johansen, K. W., Nielsen, R., Schultz, C. & Teizer, J. (2021). Automated activity and progress analysis based on non-monotonic reasoning of construction operations. Smart and Sustainable Built Environment, 10(3), 457-486. adv. onlinepublikation. https://doi.org/10.1108/SASBE-03-2021-0044

Johansen, P. (2004). Quantification of Cavitation in the Vicinity of Mechanical Heart Valves.

Johansen, K. W., Pimentel de Figueiredo, R., Golovina, O. & Teizer, J. (2021). Autonomous Safety Barrier Inspection in Construction: An Approach Using Unmanned Aerial Vehicles and SafeBIM. I C. Feng, T. Linner & I. Brilakis (red.), Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021 (s. 629-636) https://doi.org/10.22260/ISARC2021/0085

Johansen, K. W., Schultz, C. P. L. & Teizer, J. (2022). BIM-based fall hazard ontology and benchmark model for comparison of automated prevention through design approaches in construction safety. I J. Teizer & C. P. Leslie Schultz (red.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (s. 408-417) https://ebooks.au.dk/aul/catalog/view/455/311/1837-3

Johansen, K. W., Schultz, C. & Teizer, J. (2023). Hazard ontology and 4D benchmark model for facilitation of automated construction safety requirement analysis. Computer-Aided Civil and Infrastructure Engineering. adv. onlinepublikation. https://doi.org/10.1111/mice.12988

Jeppesen, J. H., Nørremark, M. & Jacobsen, R. H. (2022). Potato Cyst Nematode Detection based on Open Satellite Data. Aarhus Universitet - DCA - Nationalt Center for Fødevarer og Jordbrug. Advisory report from DCA – National Center for Food and Agriculture

Jeppesen, J., Christensen, J., Johansen, P. & Beniczky, S. (2023). Personalized seizure detection using logistic regression machine learning based on wearable ECG-monitoring device. Seizure, 107, 155-161. https://doi.org/10.1016/j.seizure.2023.04.012

Jensen, M. A. F., Grøn Sørensen, C. & Bochtis, D. (2013). Assessment of Track Sequence Optimization based on Recorded Field Operations. Afhandling præsenteret på EFITA / WCCA / CIGR 2013, Torino, Italien.

Jensen, F., Hassan, A. & Bazzi, A. (2022). A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives. Afhandling præsenteret på IEEE Energy Conversion Congress and Expo (ECCE 2022), Detroit, Michigan, USA. https://doi.org/10.1109/ECCE50734.2022.9947433

Jensen, A. L., Kristensen, E. F. & Grøn Sørensen, C. (2022). Feasibility study for organic farming. Poster session præsenteret på The XX CIGR World Congress 2022, Kyoto, Japan.

Jensen, J. C. S. (Producent) & Nørremark, M. (Producent). (2022). Influence of the tire pressure on yield: Fendt VarioGrip. Billeder, Video- og Lydoptagelser (digital) https://www.youtube.com/watch?v=i7pZQ41xzkI

Jensen, R. I. T. & Iosifidis, A. (2023). Qualifying and raising anti-money laundering alarms with deep learning. Expert Systems with Applications, 214, artikel 119037. https://doi.org/10.1016/j.eswa.2022.119037

Jensen, M. H., Nazari, M., Gu, C., Rasmussen, M., Dyrskog, S. E., Simonsen, C. Z., Grønhøj, M. H., Rom Poulsen, F., Rehman, N. U. & Korshoej, A. R. (2023). Reliability and Performance of the IRRAflow® System for Intracranial Lavage and Evacuation of Hematomas - A Technical Note. medRxiv : the preprint server for health sciences https://doi.org/10.1101/2023.07.07.23292372

Jakobsen, M. O., Herskind, E. S., Pedersen, C. F. & Knudsen, M. B. (2023). Detecting insufficient lubrication in rolling bearings, using a low cost MEMS microphone to measure vibrations. Mechanical Systems and Signal Processing, 200, artikel 110553. https://doi.org/10.1016/j.ymssp.2023.110553

Jacobsen, R. H. & Marandi, S. A. (2021). Security Threats Analysis of the Unmanned Aerial Vehicle System. I MILCOM 2021 - 2021 IEEE Military Communications Conference (s. 1-7) https://doi.org/10.1109/MILCOM52596.2021.9652900

Jacobsen, R. H., Matlekovic, L., Shi, L., Malle, N., Ayoub, N., Hageman, K., Hansen, S., Nyboe, F. F. & Ebeid, E. (2023). Design of an Autonomous Cooperative Drone Swarm for Inspections of Safety Critical Infrastructure. Applied Sciences (Switzerland), 13(3), artikel 1256. https://doi.org/10.3390/app13031256

Iversen, M., Monisha, M. & Agarwala, S. (2022). Flexible, Wearable and Fully-printed Smart Patch for pH and Hydration Sensing in Wounds. International Journal of Bioprinting, 8(1), 41-49. https://doi.org/10.18063/IJB.V8I1.447

Islam, M. T., Khan, H. A., Naveed, K., Nauman, A., Gulfam, S. M. & Kim, S. W. (2023). LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images. Electronics, 12(8), artikel 1786. https://doi.org/10.3390/electronics12081786

Iraji, M., Dehghani, M., Mohammadi, M., Vafamand, N. & Boudjadar, J. (2021). Motor Current Signature Analysis Using Shapelet. I H. Selvaraj, G. Chmaj & D. Zydek (red.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (s. 23-33). Springer. https://doi.org/10.1007/978-3-030-65796-3_3

Iqbal, S., Khan, T. M., Naveed, K., Naqvi, S. S. & Nawaz, S. J. (2022). Recent trends and advances in fundus image analysis: A review. Computers in Biology and Medicine, 151, artikel 106277. https://doi.org/10.1016/j.compbiomed.2022.106277

Iqbal, S., Naveed, K., Naqvi, S. S., Naveed, A. & Khan, T. M. (2023). Robust retinal blood vessel segmentation using a patch-based statistical adaptive multi-scale line detector. Digital Signal Processing: A Review Journal, 139, artikel 104075. https://doi.org/10.1016/j.dsp.2023.104075

Iosifidis, A. & Tefas, A. (2022). Introduction. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00006-3

Inci, E. O., Croes, J., Desmet, W., Gomes, C., Thule, C., Lausdahl, K. & Larsen, P. G. (2021). The Effect and Selection of Solution Sequence in Co-Simulation. I C. R. Martin, M. J. Blas & A. I. Psijas (red.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (s. 1-12). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552130

Inceoglu, F., Hernandez Marcano, N. J., Jacobsen, R. H. & Karoff, C. (2020). A General Overview for Localizing Short Gamma-Ray Bursts with a CubeSat Mega-Constellation. Frontiers in Astronomy and Space Science, 7(November), artikel 573060. https://doi.org/10.3389/fspas.2020.573060

Imanberdiyev, N. & Kayacan, E. (2020). Redundancy Resolution based Trajectory Generation for Dual-Arm Aerial Manipulators via Online Model Predictive Control. I Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (s. 674-681). artikel 9254702 IEEE. https://doi.org/10.1109/IECON43393.2020.9254702

Imanberdiyev, N., Sood, S., Kircali, D. & Kayacan, E. (2022). Design, development and experimental validation of a lightweight dual-arm aerial manipulator with a COG balancing mechanism. Mechatronics, 82, artikel 102719. https://doi.org/10.1016/j.mechatronics.2021.102719

Ibrahim, I. A. F. A. H., Bochtis, D., Grøn Sørensen, C. & Nørremark, M. (2010). Automated generation of guidance lines for operational field planning. Biosystems Engineering, 107(4), 294-306. https://doi.org/10.1016/j.biosystemseng.2010.09.001

Iandolo, B., Sánchez Nery, A. P., Davidsen, R. S. & Hansen, O. (2019). Black silicon with ultra‐low surface recombination velocity fabricated by inductively coupled power plasma. Physica Status Solidi. Rapid Research Letters, 13(2). https://doi.org/10.1002/pssr.201800477

Iandolo, B., Davidsen, R. S. & Hansen, O. (2018). Avoiding blistering in Al2O3 deposited on planar and black Si. Solar Energy Materials & Solar Cells, 187, 23-29. https://doi.org/10.1016/j.solmat.2018.07.014

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). On Quantitative Evaluations of Counterfactuals.

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). ECINN: Efficient Counterfactuals from Invertible Neural Networks. I 32nd British Machine Vision Conference 2021, BMVC 2021, Virtual https://arxiv.org/abs/2103.13701

Huynh, H. A., Zamani, M., Ronchini, M., Farkhani, H. & Moradi, F. (2021). A 53GΩ@DC Input Impedance Multi-Channel Neural Recording Amplifier with 0.77 μvrms Input-Referred Noise for Deep Brain Implants. I 2021 IEEE Custom Integrated Circuits Conference, CICC 2021 - Proceedings artikel 9431403 IEEE. https://doi.org/10.1109/CICC51472.2021.9431403

Hurst, A., Zhang, Q., Lucani Rötter, D. E. & Assent, I. (2021). Direct Analytics of Generalized Deduplication Compressed IoT Data. I 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685589

Hudson, N., Khamfroush, H. & Lucani Rötter, D. E. (2021). QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations. I 30th International Conference on Computer Communications and Networks, ICCCN 2021 IEEE. https://doi.org/10.1109/ICCCN52240.2021.9522156

Hudert, M. M., Elvebakken, M. F., Meagher, M., Mangliar, L., Zhang, X. & Esterle, L. (2022). Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails. I Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (s. 1740-1748)

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, artikel e13837. https://doi.org/10.7717/peerj.13837

Hosseinzadeh, M., Wachal, A., Khamfroush, H. & Lucani Rötter, D. E. (2021). Optimal Accuracy-Time Trade-off For Deep Learning Services in Edge Computing Systems. I ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500744

Hosseinzadeh, M., Wachal, A., Khamfroush, H. & Lucani Rötter, D. E. (2022). QoS-Aware Priority-Based Task Offloading for Deep Learning Services at the Edge. I 2022 IEEE Annual Consumer Communications & Networking Conference (CCNC) (s. 319-325). IEEE. https://doi.org/10.1109/CCNC49033.2022.9700676

Hosseinzadeh, M., Hudson, N., Zhao, X., Khamfroush, H. & Lucani Rötter, D. E. (2021). Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems. I 2021 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2021 (s. 254-261). IEEE. https://doi.org/10.1109/DySPAN53946.2021.9677398

Hosseini, S., Laursen, K., Rashidi, A., Mondal, T., Corbett, B. & Moradi, F. (2021). S-MRUT: Sectored-Multi Ring Ultrasonic Transducer for Selective Powering of Brain Implants. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 68(1), 191-200. artikel 9112273. adv. onlinepublikation. https://doi.org/10.1109/TUFFC.2020.3001084

Honoré, J. T., Rask, R. D. & Wagner, S. R. (2023). Fall Detection Combining Android Accelerometer and Step Counting Virtual Sensors. I G. A. Papadopoulos, A. Achilleos, E. Pissaloux & R. Velázquez (red.), ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers (s. 3-16). Springer. https://doi.org/10.1007/978-3-031-29548-5_1

Hjelseth, E. & Li, B. (2021). Use of “Reasoner” for automated building code compliance assessment. I Proceedings of the 38th International Conference of CIB W78 (s. 138-147) https://itc.scix.net/pdfs/w78-2021-paper-014.pdf

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Ph.d.-afhandlinger ved Institut for Elektro- og Computerteknologi

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Revideret 10.08.2023

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