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Gajewicz, A, Jagiello, K, Cronin, MTD, Leszczynski, J and Puzyn, T (2016) Addressing a bottle neck for regulation of nanomaterials: quantitative read-across (Nano-QRA) algorithm for cases when only limited data is available. Environmental Science: Nano, 4 (2). pp. 346-358. ISSN 2051-8153

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Harris, B, Dobbins, C, Fairclough, SH and Lisboa, P Measuring Academic Stress ‘In the Wild’ with Wearable Sensors: Removal of Noise from Wearable Sensor Data Using Fir Filters. In: 1st Neuroadaptive Technology Conference 2017 (NAT’17), 19 July 2017 - 21 July 2017, Berlin, Germany. (Accepted)

Hasan, MK, Ahsan, MS, Mamun, AA, Shah Newaz, SH and Lee, GM (2021) Human face detection techniques: A comprehensive review and future research directions. Electonics, 10 (19). ISSN 2079-9292

Hashem Eiza, M and Ni, Q (2017) DRIVING WITH SHARKS Rethinking Connected Vehicles with Vehicle Cybersecurity. IEEE Vehicular Technology Magazine, 12 (2). pp. 45-51. ISSN 1556-6072

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Hurst, W, Curbelo Montañez, CA, Shone, N and Al-Jumeily, D (2020) An Ensemble Detection Model using Multinomial Classification of Stochastic Gas Smart Meter Data to Improve Wellbeing Monitoring in Smart Cities. IEEE Access, 8. pp. 7877-7898. ISSN 2169-3536

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Hurst, W, Shone, N and Tully, D (2019) Investigations into the Development of a Knowledge Transfer Platform for Business. In: 2019 5th International Conference on Information Management (ICIM) . (The 5th IEEE International Conference on Information Management (ICIM2019), 24 March 2019 - 28 March 2019, Cambridge).

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Hurst, W, Withington, A and Kolivand, H (2022) Virtual conference design: features and obstacles. Multimedia Tools and Applications. ISSN 1380-7501

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Hussain, A, Abdulaimma, B, Fergus, P, Al-Jumeily, D, Aday Curbelo Montañez, C, Hind, J and Radi, N (2017) Association Mapping Approach into Type 2 Diabetes using Biomarkers and Clinical Data. In: Intelligent Computing Theories and Application . pp. 325-336. (International Conference on Intelligent Computing, 07 August 2017 - 10 August 2017, Liverpool, UK).

Hussain, A, Al-Jumeily, D and Al-Askar, H (2015) The application of dynamic self-organised multilayer network inspired by the Immune Algorithm for weather signals forecast. In: Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2015 Third International Conference on . pp. 94-100. (3rd International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, TAEECE 2015, 29th April - 1st May 2015, Beirut, Lebanon).

Hussien, A, Khan, W, Hussain, A, Liatsis, P, Al-Shamma'a, A and Al-Jumeily, D (2023) Predicting energy performances of buildings' envelope wall materials via the random forest algorithm. Journal of Building Engineering, 69. ISSN 2352-7102

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Joeris, A, Kabiri, M, Galvain, T, Vanderkarr, M, Holy, CE, Plaza, JQ, Tien, S, Schneller, J and Kammerlander, C (2022) Cost-Effectiveness of Cement Augmentation Versus No Augmentation for the Fixation of Unstable Trochanteric Fractures. Journal of Bone and Joint Surgery: American Volume, 104 (22). pp. 2026-2034. ISSN 0021-9355

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Karran, AJ (2014) Exploring the Biocybernetic loop: Classifying Psychophysiological Responses to Cultural Artefacts using Physiological Computing. Doctoral thesis, Liverpool John Moores University.

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Khalaf, M, Hussain, A, Al-Jumeily, D, Baker, T, Keight, R, Lisboa, P, Alkafri, A and Fergus, P (2018) A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. In: 2018 IEEE Congress on Evolutionary Computation (CEC) . (IEEE Congress on Evolutionary Computation, 08 July 2018 - 13 July 2018, Brazil).

Khalaf, M, Hussain, A, Al-Jumeily, D, Fergus, P, Keenan, R and Radi, N (2015) A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease. In: Intelligent Computing Theories and Methodologies: Lecture Notes in Computer Science , 9226. (International Conference on Intelligent Computation, 20 August 2015 - 23 April 2016, Fuzhou, China).

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Khalaf, M, Hussain, A, Keight, R, Al-Jumeily, D, Keenan, R, Fergus, P and Idowu, IO (2016) The Utilisiation of composite Machine Learning models for the Classification of Medical Datasets For Sickle Cell Disease. In: 2016 Sixth International Conference on Digital Information Processing and Communications (ICDIPC) . (Sixth International Conference on Digital Information Processing and Communications (ICDIPC), 21 April 2016 - 23 April 2016, Lebanon).

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