Browse by ANZSRC Socio-Economic Objective codes

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Number of items at this level: 23.

A

Alvarez-Romero, Jorge, and Osbaldiston, Justin (2021) ValueMapper: an interactive web-based tool to map and visualise spatial data. James Cook University, Townsville, QLD, Australia.

C

Chaturvedi, Iti, Ragusa, Edoardo, Gastaldo, Paolo, and Cambria, Erik (2020) COAL: convolutional online adaptation learning for opinion mining. In: International Conference on Data Mining. pp. 15-22. From: ICDMW 2020: International Conference on Data Mining, 17-20 November 2020, Sorrento, Italy.

D

Darwen, Paul J. (2023) Direction of the Difference between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction. In: Lecture Notes in Artificial Intelligence (13995) pp. 210-223. From: ACIIDS 2023: 15th Asian Conference on Intelligent Information and Database Systems, 24-26 July 2023, Phuket, Thailand.

Dong, Xuening, Primeau, Louis, Genov, Roman, Rahimi Azghadi, Mostafa, and Amirsoleimani, Amirali (2023) Efficient Memristive Stochastic Differential Equation Solver. Advanced Intelligent Systems, 5 (8). 2300008.

G

Guo, Caishan, Luo, Fengji, Yang, Jiajia, and Cai, Zexiang (2023) Transactive Operational Framework for Internet Data Centers in Geo-Distributed Local Energy Markets. IEEE Transactions on Cloud Computing, 11 (2). pp. 1133-1143.

H

Hussain, Emtiaz, Hasan, Mahmudul, Rahman, Md Anisur, Lee, Ickjai, Tamanna, Tasmi, and Parvez, Mohammed Zavid (2021) CoroDet: a deep learning based classification for COVID-19 detection using chest X-ray images. Chaos Solitons and Fractals, 142. 110495.

L

Li, Shuoshi, Zhou, Yuan, Ren, Wenqi, and Xiang, Wei (2023) PFONet: A Progressive Feedback Optimization Network for Lightweight Single Image Dehazing. IEEE Transactions on Image Processing, 32. pp. 6558-6569.

Linardon, Jake, Tylka, Tracy L., Burnette, C. Blair, Shatte, Adrian, and Fuller-Tyszkiewicz, Matthew (2022) Understanding the role of positive body image during digital interventions for eating disorders: Secondary analyses of a randomized controlled trial. Body Image, 43. pp. 1-7.

Linardon, Jake, Fuller-Tyszkiewicz, Matthew, Shatte, Adrian, and Greenwood, Christopher J. (2022) An exploratory application of machine learning methods to optimize prediction of responsiveness to digital interventions for eating disorder symptoms. International Journal of Eating Disorders, 55 (6). pp. 845-850.

Liu, Sisi, and Lee, Ickjai (2021) Sequence encoding incorporated CNN model for Email document sentiment classification. Applied Soft Computing, 102. 107104.

Liu, Yezhou, Nicolescu, Radu, Sun, Jing, and Henderson, Alec (2021) A sublinear Sudoku solution in cP Systems and its formal verification. Computer Science Journal of Moldova, 29 (1 (85)). pp. 3-28.

M

McNabb, Tim, Wicking, Kristin, and Myers, Trina (2023) Occupation versus Utilisation of Clinical Spaces Using Internet of Things Devices: Are Consult Rooms Well Utilised? In: Proceedings of the 2023 7th International Conference on Medical and Health Informatics. pp. 316-321. From: ICMHI '23: 7th International Conference on Medical and Health Informatics, 12-14 May 2023, Kyoto, Japan.

N

Napier, Thomas, Ahn, Euijoon, Allen-Ankins, Slade, Schwarzkopf, Lin, and Lee, Ickjai (2024) Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale passive acoustic monitoring. Expert Systems with Applications, 252 (Part B). 124220.

Napier, Thomas, and Lee, Ickjai (2023) Using mobile-based augmented reality and object detection for real-time Abalone growth monitoring. Computers and Electronics in Agriculture, 207. 107744.

Naseem, Usman, Bandi, Ajay, Raza, Shaina, Rashid, Junaid, and Chakravarthi, Bharathi Raja (2022) Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation. In: Proceedings of the Proceedings of the 21st Workshop on Biomedical Language Processing. pp. 110-115. From: BioNLP 22: 21st Workshop on Biomedical Language Processing, 26 May 2022, Dublin, IRL.

P

Pratikno, Heri, Ibrahim, Mohd Zamri, and Jusak (2022) A novel fern-like lines detection using a hybrid of pre-trained convolutional neural network model and Frangi filter. Telkomnika, 20 (3). pp. 607-620.

Puspasari, Ira, Kusumawati, Weny Indah, Oktarina, Eka Sari, and Jusak, Jusak (2020) A new heart sound signal identification approach suitable for smart healthcare system. In: Proceedings of the 2nd International Conference on Applied Engineering. From: ICAE 2019: 2nd International Conference on Applied Engineering, 2-3 October 2019, Batam, Indonesia.

S

Smyth, Wendy, McArdle, Joleen, Heinrich, Gwenn, Manickam, Valli, Lee, Ickjai, Holdsworth, Jason, Omonaiye, Olumuyiwa, and Nagle, Cate (2024) Unravelling the possibilities: a cross-over randomised controlled feasibility trial on immersive virtual reality in haemodialysis. BMC Digital Health, 2. 27.

T

Thapa, Surendrabikram, Rauniyar, Kritesh, Shiwakoti, Shuvam, Poudel, Sweta, Naseem, Usman, and Nasim, Mehwish (2023) NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse. In: Frontiers in Artificial Intelligence and Applications (372) pp. 2346-2353. From: ECAI 2020: 26th European Conference on Artificial Intelligence, 30 September - 4 October 2023, Kraków, Poland.

V

Villon, Sebastien, Mouillot, David, Chaumont, Marc, Subsol, Gerard, Claverie, Thomas, and Villeger, Sebastien (2020) A new method to control error rates in automated species identification with deep learning algorithms. Scientific Reports, 10. 10972.

X

Xiang, Wei, Li, Jie, Zhou, Yuan, Cheng, Peng, Jin, Jiong, and Yu, Kan (2024) Digital Twin Empowered Industrial IoT Based on Credibility-weighted Swarm Learning. IEEE Transactions on Industrial Informatics, 20. pp. 775-784.

Xia, Feng, Guo, Teng, Bai, Xiaomei, Shatte, Adrian, Liu, Zitao, and Tang, Jiliang (2022) SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data. ACM/IMS Transactions on Data Science, 2 (4). 39.

Y

Yang, Wei, Xiang, Wei, Yang, Yuan, and Cheng, Peng (2023) Optimizing Federated Learning With Deep Reinforcement Learning for Digital Twin Empowered Industrial IoT. IEEE Transactions on Industrial Informatics, 19 (2). pp. 1884-1893.

This list was generated on Thu Nov 21 22:48:35 2024 AEST.