Items where Division is "College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies" and Year is 2025

Alex, Ajay John, Barnes, Chloe M., Machado, Pedro, Ihianle, Isibor, Markó, Gábor, Bencsik, Martin and Bird, Jordan J. (2025). Enhancing pollinator conservation: Monitoring of bees through object recognition. Computers and Electronics in Agriculture, 228 ,

Barzas, Konstantinos, Fouad, Shereen, Jasa, Gainer and Landini, Gabriel (2025). An Explainable Deep Learning Framework for Mandibular Canal Segmentation from Cone Beam Computed Tomography Volumes. IN: Computational Advances in Bio and Medical Sciences - 12th International Conference, ICCABS 2023, Revised Selected Papers. Bansal, Mukul S.; Chen, Wei; Khudyakov, Yury; Măndoiu, Ion I.; Moussa, Marmar R.; Patterson, Murray; Rajasekaran, Sanguthevar; Skums, Pavel; Thankachan, Sharma V. and Zelikovsky, Alexander (eds) Lecture Notes in Computer Science: ICCABS proceedings . USA: Springer.

Darodes de Tailly, Jean-Benoît, Bardera, Guillermo, Owen, Matthew A.G., Keitel, Jonas, Alcaraz-Calero, Jose M., Sloman, Katherine A. and Alexander, Mhairi E. (2025). Influence of turbidity on group level responses to feeding in the Pacific white shrimp (Litopenaeus vannamei). Applied Animal Behaviour Science, 284 ,

Fouad, Shereen, Atim, Paula, Rajasekaran, Arvind, Nagori, Pankaj, Morlese, John and Bhatia, Bahadar (2025). Explainability in Automated Ground Glass Opacity (GGO) Segmentation Using Chest CT Scans. IN: International Symposium on Biomedical Imaging. Hyatt Regency, 2025-04-14 - 2025-04-17. (In Press)

Fouad, Shereen, Usman, Muhammad, Rajasekaran, Arvind, Morlese, John, Nagori, Pankaj and Kabir, Ra’eesa (2025). Explained deep learning framework for COVID-19 detection in volumetric CT images aligned with the British Society of Thoracic Imaging reporting guidance: A pilot study. Journal of Imaging Informatics in Medicine ,

Francis, Anthony, Perez D'arpino, Claudia, Li, Chengshu, Xia, Fei, Alahi, Alexandre, Alami, Rachid, Bera, Aniket, Biswas, Abhijat, Biswas, Joydeep, Chandra, Rohan, Chiang, Hao-Tien Lewis, Everett, Michael, Ha, Sehoon, Hart, Justin, How, Jonathan P., Karnan, Haresh, Lee, Tsang-Wei Edward, Manso, Luis J., Mirsky, Reuth, Pirk, Soren, Singamaneni, Phani Teja, Stone, Peter, Taylor, Ada V., Trautman, Peter, Tsoi, Nathan, Vazquez, Marynel, Xiao, Xuesu, Xu, Peng, Yokoyama, Naoki, Toshev, Alexander and Martin-Martin, Roberto (2025). Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. Transactions on Human-Robot Interaction, 14 (2),

Iam-On, Natthakan, Boongoen, Tossapon, Naik, Nitin and Yang, Longzhi (2025). Leveraging ensemble clustering for privacy-preserving data fusion:Analysis of big social-media data in tourism. Information Sciences, 686 ,

Kavakli-Thorne, Manolya and Dai, Zhuangzhuang (2025). AI Algorithms for Positive Change in Digital Futures. Algorithms, 18 (1),

Khadmaoui-Bichouna, Mohamed, Matencio Escolar, Antonio, Alcaraz-Calero, Jose M. and Wang, Qi (2025). Design and implementation of an integrated OWC and RF network slicing-based architecture over hybrid LiFi and 5G networks. Wireless Networks, 31 , 1541–1559.

Maneerat, Tonkla, Iam-On, Natthakan, Boongoen, Tossapon, Kirimasthong, Khwunta, Naik, Nitin, Yang, Longzhi and Shen, Qiang (2025). Optimisation of multiple clustering based undersampling using artificial bee colony: Application to improved detection of obfuscated patterns without adversarial training. Information Sciences, 687 ,

Puttnam, Benjamin J., Luis, Ruben S., Phillips, Ian, Tan, Mingming, Donodin, Aleksandr, Pratiwi, Dini, Dallachiesa, Lauren, Huang, Yetian, Orsuti, Daniele, Shaji, Divya Ann, Mazur, Mikael, Fontaine, Nicolas K., Chen, Haoshuo, Chung, Dicky, Ho, Victor, Boriboon, Budsara, Rademacher, G., Antonelli, Cristian, Palmieri, Luca, Man, Ray, Ryf, Roland, Neilson, David T., Forysiak, Wladek and Furukawa, Hideaki (2025). High Data-Rate OESCLU-Band Transmission. Journal of Lightwave Technology ,

Sheikh, Mansoor and Saad, David (2025). Viral load inference of high dynamic range signals using non-adaptive pooled testing. Physica Scripta, 100 (3),