Showing results 1 to 20 of 68
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Issue Date | Title | Author(s) |
2016-09-12 | A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport | Chakraborty, S; Mengersen, K; Fidge, C; Ma, L; Lassen, D |
- | A Practical Blockchain Framework using Image Hashing for Image Authentication | White, C; Paul, M; Chakraborty, S |
2022-09-16 | A review of automated sleep disorder detection. | Xu, S; Faust, O; Seoni, S; Chakraborty, S; Barua, PD; Loh, HW; Elphick, H; Molinari, F; Acharya, UR |
2020-06-08 | A Review of Models Used for Investigating Barriers to Healthcare Access in Australia. | Shukla, N; Pradhan, B; Dikshit, A; Chakraborty, S; Alamri, AM |
2017-02-22 | Adaptive weighted non-parametric background model for efficient video coding | Chakraborty, S; Paul, M; Murshed, M; Ali, M |
2016-01-01 | Additive manufacturing of a dual-ridged horn antenna | Majumdar, B; Baer, D; Chakraborty, S; Esselle, KP; Heimlich, M |
2016-09-01 | Advantages and limitations of 3D printing a dual-ridged horn antenna | Majumdar, B; Baer, D; Chakraborty, S; Esselle, KP; Heimlich, M |
2021-01-01 | An Edge-Coupled Marchand Balun with Partial Ground for Excellent Balance in 0.13 μm SiGe Technology | Chakraborty, S; Milner, LE; Zhu, X; Sevimli, O; Parker, AE; Heimlich, MC |
2021 | An optimized Deep Neural Network Approach for Vehicular Traffic Noise Trend Modelling | Ahmed, AA; Pradhan, B; Chakraborty, S; Alamri, A; Lee, C-W |
2022-11-01 | Analysis and Comparison of Marchand and Transformer Baluns Applied in GaAs | Chakraborty, S; Milner, LE; Zhu, X; Parker, A; Heimlich, M |
- | Application of Deep Learning Models for Automated Identification of Parkinson’s Disease: A Review (2011–2021) | Loh, HW; Hong, W; Ooi, CP; Chakraborty, S; Barua, PD; Deo, RC; Soar, J; Palmer, EE; Acharya, UR |
2022-04 | Application of photoplethysmography signals for healthcare systems: An in-depth review. | Loh, HW; Xu, S; Faust, O; Ooi, CP; Barua, PD; Chakraborty, S; Tan, R-S; Molinari, F; Acharya, UR |
2022-12 | Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients. | Allahabadi, H; Amann, J; Balot, I; Beretta, A; Binkley, C; Bozenhard, J; Bruneault, F; Brusseau, J; Candemir, S; Cappellini, LA; Chakraborty, S; Cherciu, N; Cociancig, C; Coffee, M; Ek, I; Espinosa-Leal, L; Farina, D; Fieux-Castagnet, G; Frauenfelder, T; Gallucci, A; Giuliani, G; Golda, A; van Halem, I; Hildt, E; Holm, S; Kararigas, G; Krier, SA; Kuhne, U; Lizzi, F; Madai, VI; Markus, AF; Masis, S; Mathez, EW; Mureddu, F; Neri, E; Osika, W; Ozols, M; Panigutti, C; Parent, B; Pratesi, F; Moreno-Sanchez, PA; Sartor, G; Savardi, M; Signoroni, A; Sormunen, H-M; Spezzatti, A; Srivastava, A; Stephansen, AF; Theng, LB; Tithi, JJ; Tuominen, J; Umbrello, S; Vaccher, F; Vetter, D; Westerlund, M; Wurth, R; Zicari, RV |
- | Automatic Generation of Interpretable Lung Cancer Scoring Models from Chest X-Ray Images | Horry, MJ; Chakraborty, S; Pradhan, B; Paul, M; Gomes, DPS; Ul-Haq, A |
2018 | ‘B-M Model’ for Farmers’ Knowledge Management in Increasing Rice Production | Mahalder, B; Ahmed, MB; Bhandari, H; Salam, MU; Chakraborty, S |
2020-01-01 | Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity | Tohidi, F; Paul, M; Hooshmandasl, MR; Chakraborty, S; Pradhan, B |
2016-03-01 | A broadside-coupled meander-line resonator in 0.13-μm SiGe technology for millimeter-wave application | Chakraborty, S; Yang, Y; Zhu, X; Sevimli, O; Xue, Q; Esselle, K; Heimlich, M |
2016-10-18 | Characterisation of a transformer balun for a 7-15 GHz SiGe frequency doubler | Chakraborty, S; Milner, LE; Hall, LT; Zhu, X; Sevimli, O; Heimlich, M |
2022-10-01 | Climate Change and Pathways Used by Pests as Challenges to Plant Health in Agriculture and Forestry | Gullino, ML; Albajes, R; Al-Jboory, I; Angelotti, F; Chakraborty, S; Garrett, KA; Hurley, BP; Juroszek, P; Lopian, R; Makkouk, K; Pan, X; Pugliese, M; Stephenson, T |
2020-12 | Clinical care of pregnant and postpartum women with COVID-19: Living recommendations from the National COVID-19 Clinical Evidence Taskforce. | Vogel, JP; Tendal, B; Giles, M; Whitehead, C; Burton, W; Chakraborty, S; Cheyne, S; Downton, T; Fraile Navarro, D; Gleeson, G; Gordon, A; Hunt, J; Kitschke, J; McDonald, S; McDonnell, N; Middleton, P; Millard, T; Murano, M; Oats, J; Tate, R; White, H; Elliott, J; Roach, V; Homer, CSE; National COVID-19 Clinical Evidence Taskforce, |