Authors: Karmaker, Ashish K, Hossain, Md Alamgir, Manoj Kumar, Nallapaneni, Jagadeesan, Vishnupriyan, Jayakumar, Arunkumar, Ray, Biplob R
Superior Title: Karmaker, AK, Hossain, MA, Manoj Kumar, N, Jagadeesan, V, Jayakumar, A, Ray, BR, (2020). Analysis of using biogas resources for electric vehicle charging in Bangladesh: A techno-economic-environmental perspective. Sustainability, Vol. 12, No. 7, p. 1-19 http://dx.doi.org/10.3390/su12072579
Subject Terms: Electric vehicle charging station (EVCS), Electric vehicles (EVs), Biogas, Biomass resources, HOMER, CO2 emissions, Payback period, 090608 Renewable Power and Energy Systems Engineering (excl. Solar Cells), 080109 Pattern Recognition and Data Mining
Relation: Sustainability, 2020, Vol. 12, No. 7, p. 1-19; http://hdl.cqu.edu.au/10018/1330930; cqu:20068; http://dx.doi.org/10.3390/su12072579; eISSN:2071-1050
Superior Title: Islam, A, Asikuzzaman, M, Khyam, MO, Noor-A-Rahim, M, Pickering, MR, (2020). Stereo vision-based 3D positioning and tracking. IEEE Access, Vol. 8, p. 138771-138787 http://dx.doi.org/10.1109/access.2020.3011360
Subject Terms: Motion capture, 3D positioning, Stereo vision, Motion tracking, High precision, 080109 Pattern Recognition and Data Mining
Relation: IEEE Access, 2020, Vol. 8, p. 138771-138787; http://hdl.cqu.edu.au/10018/1334800; cqu:20295; http://dx.doi.org/10.1109/access.2020.3011360; eISSN:2169-3536
Authors: Anwar, Adnan, Mahmood, Abdun, Ray, Biplob R, Mahmud, Md Apel, Tari, Zahir
Superior Title: Anwar, A, Mahmood, A, Ray, BR, Mahmud, MA, Tari, Z, (2020). Machine learning to ensure data integrity in power system topological network database. Electronics, Vol. 9, No. 4, p. 1-17 http://dx.doi.org/10.3390/electronics9040693
Subject Terms: Smart grid, Energy system, Database, MLP, Machine learning, OPF, Anomaly, 080109 Pattern Recognition and Data Mining, 090607 Power and Energy Systems Engineering (excl. Renewable Power), 080501 Distributed and Grid Systems
Relation: Electronics, 2020, Vol. 9, No. 4, p. 1-17; http://hdl.cqu.edu.au/10018/1329713; cqu:19997; http://dx.doi.org/10.3390/electronics9040693; eISSN:2079-9292
Authors: Jan, Muhammad Zohaib, Verma, Brijesh
Superior Title: Jan, MZ, Verma, B, (2019). A novel diversity measure and classifier selection approach for generating ensemble classifiers. IEEE Access, Vol. 7, p. 156360-156373 http://dx.doi.org/10.1109/ACCESS.2019.2949059
Subject Terms: Ensemble classifiers, Neural networks, Multiple classifiers learning, Diversity measures, 080108 Neural, Evolutionary and Fuzzy Computation, 080109 Pattern Recognition and Data Mining
Relation: IEEE Access, 2019, Vol. 7, p. 156360-156373; http://hdl.cqu.edu.au/10018/1322504; cqu:19598; http://dx.doi.org/10.1109/ACCESS.2019.2949059; eISSN:2169-3536
Superior Title: Muurlink, OT, Stephenson, P, Islam, MZ, Taylor-Robinson, AW, (2018). Long-term predictors of dengue outbreaks in Bangladesh: A data mining approach. Infectious Disease Modelling, Vol. 3, p. 322-330 http://dx.doi.org/10.1016/j.idm.2018.11.004
Subject Terms: vector-borne disease, climate, data mining, Bangladesh, dengue, long-term predictors, 110309 Infectious Diseases, 110804 Medical Virology, 010202 Biological Mathematics
Relation: Infectious Disease Modelling, 2018, Vol. 3, p. 322-330; http://hdl.cqu.edu.au/10018/1260860; cqu:17546; http://dx.doi.org/10.1016/j.idm.2018.11.004; eISSN:2468-0427
Superior Title: Guo, W, Hung, C-C, Scheunders, P, Kuo, B-C, Lan, Y, Ma, Z, (2016), Advanced techniques for computational and information sciences: Editorial, Mathematical Problems in Engineering, Vol. 2016 p. 1-2 http://dx.doi.org/10.1155/2016/5623913
Subject Terms: computation, information science, 080105 Expert Systems, 080109 Pattern Recognition and Data Mining, 080108 Neural, Evolutionary and Fuzzy Computation
Relation: Mathematical Problems in Engineering, 2016, Vol. 2016, p. 1-2; http://hdl.cqu.edu.au/10018/1212041; cqu:13883; http://dx.doi.org/10.1155/2016/5623913; eISSN:1563-5147
Authors: Beattie, S, Woodley, C, Souter, K
Superior Title: Beattie, S, Woodley, C, Souter, K, (2014). Creepy analytics and learner data rights. 23-26 November 2014, 31st Australasian Society for Computers in Learning in Tertiary Education (ASCILITE), Dunedin, New Zealand, University of Otago, Dunedin, NZ, p. 421-425, http://ascilite.org/conferences/dunedin2014/proceedings/index.html
Subject Terms: Learning analytics, Learner data rights, Privacy, Intellectual property, Charter of rights, 080109 Pattern Recognition and Data Mining, 130103 Higher Education
Relation: Rhetoric and reality: ascilite proceedings : ascilite 2014, 31st Australasian Society for Computers in Learning in Tertiary Education (ASCILITE), 23-26 November 2014, Dunedin, New Zealand, 2014, p. 421-425; http://hdl.cqu.edu.au/10018/1257338; cqu:17312
Availability: http://hdl.cqu.edu.au/10018/1257338
Authors: Stockwell, David., Zhang, Ligang., Verma, Brijesh.
Superior Title: Stockwell, D, Zhang, L & Verma, B 2015, 'Segmentation of geophysical data: a big data friendly approach', Procedia Computer Science, vol. 53, pp. 39-47, http://dx.doi.org/10.1016/j.procs.2015.07.277
Subject Terms: Applied research, 890202 Application Tools and System Utilities, 080109 Pattern Recognition and Data Mining, 080108 Neural, Evolutionary and Fuzzy Computation, Data segmentation algorithms -- Big data -- Pattern recognition, Journal Article, Refereed, Scholarly Journal
Relation: Procedia computer science. Netherlands : Elsevier, 2015. Vol. 53 (2015), p. 39-47 9 pages Refereed 1877-0509; ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.; cqu:13146; http://hdl.cqu.edu.au/10018/1041858
Availability: http://hdl.cqu.edu.au/10018/1041858
Authors: Azad, Salahuddin A, Sabrina, Fariza, Wasimi, Saleh A
Superior Title: Azad, SA, Sabrina, F, Wasimi, SA, (2019). Transformation of smart grid using machine learning. 26-29 November 2019, 29th Australasian Universities Power Engineering Conference (AUPEC 2019), Nadi, Fiji, IEEE, Online, p. 1-6, http://dx.doi.org/10.1109/aupec48547.2019.211809
Subject Terms: smart grid, machine learning, transformer loss of life, power quality, energy dispatch decision, electricity market operation, smart grid security, 080109 Pattern Recognition and Data Mining, 090608 Renewable Power and Energy Systems Engineering (excl. Solar Cells)
Relation: 29th Australasian Universities Power Engineering Conference (AUPEC 2019), 26-29 November 2019, Nadi, Fiji, 2019, p. 1-6; http://hdl.cqu.edu.au/10018/1337362; cqu:20485; http://dx.doi.org/10.1109/aupec48547.2019.211809
Superior Title: Khoda, ME, Imam, T, Kamruzzaman, J, Gondal, I, Rahman, A, (2019). Selective adversarial learning for mobile malware. 05-08 August 2019, 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), Rotorua, New Zealand, IEEE, Piscataway, NJ, p. 272-279, http://dx.doi.org/10.1109/TrustCom/BigDataSE.2019.00044
Subject Terms: Malware, Mobile, 080109 Pattern Recognition and Data Mining, 150301 Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence)
Relation: Proceedings: 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 05-08 August 2019, Rotorua, New Zealand, 2019, p. 272-279; http://hdl.cqu.edu.au/10018/1312063; cqu:18784; http://dx.doi.org/10.1109/TrustCom/BigDataSE.2019.00044; eISSN:2324-9013
Authors: Pubudu Sanjeewani, Thihagoda G, Verma, Brijesh
Superior Title: Pubudu Sanjeewani, TG, Verma, B, (2019). Learning and analysis of AusRAP attributes from digital video recording for road safety. 02-04 December 2019, International Conference on Image and Vision Computing New Zealand (IVCNZ 2019), Dunedin, New Zealand, IEEE, Piscataway, NJ, p. 1-6, http://dx.doi.org/10.1109/IVCNZ48456.2019.8960997
Subject Terms: FCN, Neural networks, Deep learning, Image processing, Road safety, 080108 Neural, Evolutionary and Fuzzy Computation, 080109 Pattern Recognition and Data Mining, 080104 Computer Vision
Relation: Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ), International Conference on Image and Vision Computing New Zealand (IVCNZ 2019), 02-04 December 2019, Dunedin, New Zealand, 2019, p. 1-6; http://hdl.cqu.edu.au/10018/1325450; cqu:19816; http://dx.doi.org/10.1109/IVCNZ48456.2019.8960997; eISSN:2151-2205
Authors: Zhong, Mingyang, Verma, Brijesh, Affum, Joseph
Superior Title: Zhong, M, Verma, B, Affum, J, (2019). Point cloud classification for detecting roadside safety attributes and distances. 06-09 December 2019, IEEE Symposium Series on Computational Intelligence (SSCI 2019), Xiamen, China, IEEE, Piscataway, NJ, p. 1078-1084, http://dx.doi.org/10.1109/ssci44817.2019.9002813
Subject Terms: Neural networks, Point cloud, Roadside safety attributes, 080108 Neural, Evolutionary and Fuzzy Computation, 080109 Pattern Recognition and Data Mining, 080104 Computer Vision
Relation: IEEE SSCI 2019, IEEE Symposium Series on Computational Intelligence (SSCI 2019), 06-09 December 2019, Xiamen, China, 2019, p. 1078-1084; http://hdl.cqu.edu.au/10018/1325465; cqu:19818; http://dx.doi.org/10.1109/ssci44817.2019.9002813
Authors: Lee, Jeffrey, Jan, Muhammad Zohaib, Verma, Brijesh
Superior Title: Lee, J, Jan, MZ, Verma, B, (2019). A novel neural network based method for analysis of pavement deflection data. 06-09 December 2019, IEEE Symposium Series on Computational Intelligence (SSCI 2019), Xiamen, China, IEEE, Piscataway, NJ, p. 2506-2513, http://dx.doi.org/10.1109/ssci44817.2019.9002717
Subject Terms: Feedforward neural network, Traffic speed deflectometer, Pavement data prediction, 080108 Neural, Evolutionary and Fuzzy Computation, 080109 Pattern Recognition and Data Mining
Relation: IEEE SSCI 2019, IEEE Symposium Series on Computational Intelligence (SSCI 2019), 06-09 December 2019, Xiamen, China, 2019, p. 2506-2513; http://hdl.cqu.edu.au/10018/1325457; cqu:19817; http://dx.doi.org/10.1109/ssci44817.2019.9002717
Authors: Zhong, Mingyang, Verma, Brijesh, Affum, Joseph
Superior Title: Zhong, M, Verma, B, Affum, J, (2019). Deep 3D segmentation and classification of point clouds for identifying AusRAP attributes. 12-15 December 2019, Gedeon, TDT, Wong, KW, Lee, M (Eds.), 26th International Conference on Neural Information Processing (ICONIP 2019), Sydney, NSW, Australia, Springer, Cham, Switzerland, p. 95-105, http://dx.doi.org/10.1007/978-3-030-36711-4_9
Subject Terms: 3D segmentation and classification, Neural networks, Point cloud, AusRAP attributes, 080108 Neural, Evolutionary and Fuzzy Computation, 080109 Pattern Recognition and Data Mining, 080104 Computer Vision
Relation: Neural Information Processing: 26th International Conference, ICONIP 2019: proceedings, Part II, 26th International Conference on Neural Information Processing (ICONIP 2019), 12-15 December 2019, Sydney, NSW, Australia, Gedeon, Tamas D Tom, Wong, Kok W, Lee, Minho (Eds.), 2019, Vol. 11954 LNCS, p. 95-105; http://hdl.cqu.edu.au/10018/1322376; cqu:19584; http://dx.doi.org/10.1007/978-3-030-36711-4_9; eISSN:1611-3349
Authors: Nielsen, Dwayne A, Moore, Steven T, Sanjar, S, Goulart, Rafael
Superior Title: Nielsen, DA, Moore, ST, Sanjar, S, Goulart, R, (2019). Track inspections using drones and machine vision. 12-14 June 2019, Larsson-Kraik, PO, Ahmadi, A (Eds.), International Heavy Haul Association STS Conference (IHHA 2019), Narvik, Norway, International heavy haul association, Virginia Beach, VA., p. 307-312, https://ihha.net/
Subject Terms: Safety improvements, Visual track inspections, Track defects, Machine driven system, Drone technology, 080109 Pattern Recognition and Data Mining, 090505 Infrastructure Engineering and Asset Management
Relation: Proceedings of the International Heavy Haul Association STS Conference (IHHA 2019): 'Heavy Haul 4.0 - Achieving breakthrough performance levels', International Heavy Haul Association STS Conference (IHHA 2019), 12-14 June 2019, Narvik, Norway, Larsson-Kraik, PO, Ahmadi, A (Eds.), 2019, p. 307-312; http://hdl.cqu.edu.au/10018/1321834; cqu:19542
Availability: http://hdl.cqu.edu.au/10018/1321834
Authors: Jan, Muhammad Zohaib, Verma, Brijesh
Superior Title: Jan, MZ, Verma, B, (2019). Ensemble classifier generation using class-pure cluster balancing. 12-15 December 2019, Gedeon, TDT, Wong, KW, Lee, M (Eds.), 26th International Conference on Neural Information Processing (ICONIP 2019), Sydney, NSW, Australia, Springer, Cham, Switzerland, p. 761-769, http://dx.doi.org/10.1007/978-3-030-36802-9_80
Subject Terms: Ensemble learning, Classifiers, Clustering, Diversity, 080108 Neural, Evolutionary and Fuzzy Computation, 080109 Pattern Recognition and Data Mining
Relation: Neural Information Processing: 26th International Conference, ICONIP 2019: proceedings, Part V, 26th International Conference on Neural Information Processing (ICONIP 2019), 12-15 December 2019, Sydney, NSW, Australia, Gedeon, Tamas D Tom, Wong, Kok W, Lee, Minho (Eds.), 2019, Vol. 1143 CCIS, p. 761-769; http://hdl.cqu.edu.au/10018/1322369; cqu:19583; http://dx.doi.org/10.1007/978-3-030-36802-9_80; eISSN:1865-0937
Superior Title: Khoda, ME, Kamruzzaman, J, Gondal, I, Imam, T, Rahman, A, (2019). Mobile malware detection: An analysis of deep learning model. 13-15 February 2019, 20th IEEE International Conference on Industrial Technology (ICIT 2019), Melbourne, Australia, IEEE, Piscataway, NJ, p. 1161-1166, http://dx.doi.org/10.1109/ICIT.2019.8755048
Subject Terms: Invasive software, Learning (artificial intelligence), Mobile computing, Neural nets, Pattern classification, Smart phones, Malware developers, Malware detection techniques, Malware researchers, Deep learning model, Hyper-parameters, Classifier performance, Deep neural network, Malware classification, Mobile malware detection, Complex relationships, Arbitrary deep networks, Automatic machine learning tools, 080109 Pattern Recognition and Data Mining, 150301 Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence)
Relation: Proceedings, 2019 IEEE International Conference on Industrial Technology (ICIT), 20th IEEE International Conference on Industrial Technology (ICIT 2019), 13-15 February 2019, Melbourne, Australia, 2019, p. 1161-1166; http://hdl.cqu.edu.au/10018/1312049; cqu:18782; http://dx.doi.org/10.1109/ICIT.2019.8755048
Authors: Verma, Brijesh
Superior Title: Verma, B, (2003). A contour code feature based segmentation for handwriting recognition. -2003, International Conference on Document Analysis and Recognition, Edinburgh, Scotland, IEEE Computer Society, United States, p. 1203-1207
Subject Terms: Pattern recognition systems, Writing, Neural networks, 080109 Pattern Recognition and Data Mining
Relation: Proceedings of Seventh International Conference on Document analysis and recognition (ICDAR'03), United Kingdom, 3-6 August, 2003., International Conference on Document Analysis and Recognition, -2003, Edinburgh, Scotland, 2003, p. 1203-1207; http://hdl.cqu.edu.au/10018/42778; cqu:5529
Availability: http://hdl.cqu.edu.au/10018/42778
Superior Title: Chen, W, Sun, P, Lu, Y, Guo, W, Huang, Y & Ma, Z 2011, 'MimoPro: a more efficient Web-based tool for epitope prediction using phage display libraries', BMC Bioinformatics, Vol 12:199, pp. 1-13, http://dx.doi.org/10.1186/1471-2105-12-199
Subject Terms: Antigenic determinants, Applied research, 890201 Application Software Packages (excl. Computer Games), 890205 Information Processing Services (incl. Data Entry and Capture), 080105 Expert Systems, 080109 Pattern Recognition and Data Mining, 080301 Bioinformatics Software, Web-based user interfaces, Vaccines, Epitope prediction -- Mimotope -- Graph-based search -- Adaptable distance threshold -- Compactness factor
Relation: BMC bioinformatics. London : BioMed Central, 2011. Vol. 12, no. 199 (2011), p. 1-13 13 pages Refereed 1471-2105; ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.; cqu:8072; http://hdl.cqu.edu.au/10018/915977; http://dx.doi.org/10.1186/1471-2105-12-199
Authors: Ray, BR, Chowdhury, M, Atif, U
Superior Title: Ray, BR, Chowdhury, M, Atif, U, (2017). Is high performance computing (HPC) ready to handle big data?. 31-02 September 2017, Doss, RPiramuthu, SZhou, W (Eds.), International Conference on Future Network Systems and Security 2017, Gainesville, Florida, USA, Springer, Cham, Switzerland, p. 97-112, http://dx.doi.org/10.1007/978-3-319-65548-2_8
Subject Terms: Big data, HPC, Data mining, QoS, 080109 Pattern Recognition and Data Mining, 080501 Distributed and Grid Systems
Relation: Future Network Systems and Security: Third International Conference, FNSS 2017, proceedings, International Conference on Future Network Systems and Security 2017, 31-02 September 2017, Gainesville, Florida, USA, Doss, RPiramuthu, SZhou, W (Eds.), 2017, Vol. 759, p. 97-112; http://hdl.cqu.edu.au/10018/1228679; cqu:14842; http://dx.doi.org/10.1007/978-3-319-65548-2_8