Data Science and Engineering Research Unit

Shammi, S. A., Ghosh, P., Sutradhar, A., Javed Mehedi Shamrat, F. M., Moni, M. A. & De Oliveira, T. E. A., 2024, (Accepted/In press) In: IEEE Transactions on Computational Social Systems.

Research output: Contribution to journal › Article › peer-review

Advancing soil health: Challenges and opportunities in integrating digital imaging, spectroscopy, and machine learning for bio-indicator analysis

Wang, L., Cheng, Y., Meftaul, I. M., Luo, F., Kabir, M. A., Doyle, R., Lin, Z. & Naidu, R., 21 May 2024, In: Analytical Chemistry. 96, 20, p. 8109-8123 15 p.

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques

Sutradhar, A., Akter, S., Shamrat, F. M. J. M., Ghosh, P., Zhou, X., Idris, M. Y. I. B., Ahmed, K. & Moni, M. A., 15 Sept 2024, In: Heliyon. 10, 17, p. 1-17 17 p., e36556.

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2 Citations (Scopus)

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Adverse childhood experiences leading to narcissistic personality disorder: a case report

Ross, A. G., Giri, S., Anyasodor, A. E., Mahmood, S., Astawesegn, F. H., Huda, M. M., Ahmed, K. Y., Mondal, U. K. & Thapa, S., Dec 2024, In: BMC Psychiatry. 24, 1, p. 1-6 6 p., 842.

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African Lovegrass Segmentation with Artificial Intelligence Using UAS-based Multispectral and Hyperspectral Imagery

Keerthinathan, P., Amarasingam, N., Kelly, J. E., Mandel, N., Dehaan, R. L., Zheng, L., Hamilton, G. & Gonzalez, F., Jul 2024, In: Remote Sensing. 16, 13, p. 1-24 24 p., 2363.

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AI-based ransomware detection: A comprehensive review

Ferdous, J., Islam, R., Mahboubi, A. & Islam, M. Z., Sept 2024, In: IEEE Access. 12, p. 136666-136695 30 p.

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A joint Fermi-GBM and Swift-BAT analysis of gravitational-wave candidates from the third gravitational-wave observing run

Collaboration, KAGRA Collaboration, Fermi Gamma-Ray Burst Monitor Team, The LIGO Scientific Collaboration, Fletcher, C., Wood, J., Hamburg, R., Veres, P., Hui, C. M., Bissaldi, E., Briggs, M. S., Burns, E., Cleveland, W. H., Giles, M. M., Goldstein, A., Hristov, B. A., Kocevski, D., Lesage, S., Mailyan, B. & Malacaria, C. & 235 others, Poolakkil, S., von Kienlin, A., Wilson-Hodge, C. A., Crnogorčević, M., DeLaunay, J., Tohuvavohu, A., Caputo, R., Cenko, S. B., Laha, S., Parsotan, T., Abbott, R., Abe, H., Acernese, F., Ackley, K., Adhikari, N., Adhikari, R. X., Adkins, V. K., Adya, V. B., Affeldt, C., Agarwal, D., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Akutsu, T., Albanesi, S., Alfaidi, R. A., Allocca, A., Altin, P. A., Amato, A., Anand, C., Anand, S., Ananyeva, A., Anderson, S. B., Anderson, W. G., Ando, M., Andrade, T., Andres, N., Andres-Carcasona, M., Andrić, T., Angelova, S. V., Ansoldi, S., Antelis, J. M., Antier, S., Apostolatos, T., Appavuravther, E. Z., Appert, S., Apple, S. K., Arai, K., Araya, A., Araya, M. C., Areeda, J. S., Arene, M., Aritomi, N., Arnaud, N., Arogeti, M., Aronson, S. M., Arun, K. G., Asada, H., Asali, Y., Ashton, G., Aso, Y., Assiduo, M., Assis de Souza Melo, S., Aston, S. M., Astone, P., Aubin, F., Aultoneal, K., Austin, C., Babak, S., Badaracco, F., Bader, M. K. M., Badger, C., Bae, S., Bae, Y., Baer, A. M., Bagnasco, S., Bai, Y., Baird, J., Bajpai, R., Baka, T., Ball, M., Ballardin, G., Ballmer, S. W., Balsamo, A., Baltus, G., Banagiri, S., Banerjee, B., Bankar, D., Barayoga, J. C., Barbieri, C., Barish, B. C., Barker, D., Barneo, P., Barone, F., Barr, B., Barsotti, L., Barsuglia, M., Barta, D., Bartlett, J., Barton, M. A., Bartos, I., Basak, S., Bassiri, R., Basti, A., Bawaj, M., Bayley, J. C., Bazzan, M., Becher, B. R., Becsy, B., Bedakihale, V. M., Beirnaert, F., Bejger, M., Belahcene, I., Benedetto, V., Beniwal, D., Benjamin, M. G., Bennett, T. F., Bentley, J. D., BenYaala, M., Bera, S., Berbel, M., Bergamin, F., Berger, B. K., Bernuzzi, S., Berry, C. P. L., Bersanetti, D., Bertolini, A., Betzwieser, J., Beveridge, D., Bhandare, R., Bhandari, A. V., Bhardwaj, U., Bhatt, R., Bhattacharjee, D., Bhaumik, S., Bianchi, A., Bilenko, I. A., Billingsley, G., Bini, S., Birney, R., Birnholtz, O., Biscans, S., Bischi, M., Biscoveanu, S., Bisht, A., Biswas, B., Bitossi, M., Bizouard, M. A., Blackburn, J. K., Blair, C. D., Blair, D. G., Blair, R. M., Bobba, F., Bode, N., Boer, M., Bogaert, G., Boldrini, M., Bolingbroke, G. N., Bonavena, L. D., Bondu, F., Bonilla, E., Bonnand, R., Booker, P., Boom, B. A., Bork, R., Boschi, V., Bose, N., Bose, S., Bossilkov, V., Boudart, V., Bouffanais, Y., Bozzi, A., Bradaschia, C., Brady, P. R., Bramley, A., Branch, A., Branchesi, M., Brau, J. E., Breschi, M., Briant, T., Briggs, J. H., Brillet, A., Brinkmann, M., Brockill, P., Brooks, A. F., Brooks, J., Brown, D. D., Brunett, S., Bruno, G., Bruntz, R., Bryant, J., Bucci, F., Bulik, T., Bulten, H. J., Buonanno, A., Burtnyk, K., Buscicchio, R., Buskulic, D., Buy, C., Byer, R. L., Cabourn Davies, G. S., Cabras, G., Cabrita, R., Cadonati, L., Caesar, M., Cagnoli, G., Cahillane, C., Calderon Bustillo, J., Callaghan, J. D., Callister, T. A., Calloni, E., Cameron, J., Camp, J. B., Canepa, M., Canevarolo, S., Cannavacciuolo, M., Cannon, K. C., Cao, H., Cao, Z., Capocasa, E., Capote, E., Carapella, G., Carbognani, F., Carlassara, M., Carlin, J. B., Carney, M. F., Carpinelli, M., Carrillo, G., Carullo, G., Carver, T. L. & Charlton, P., 01 Apr 2024, In: Astrophysical Journal. 964, 2, p. 1-35 35 p., 149.

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3 Citations (Scopus)

A Markov random field model with cumulative logistic functions for spatially dependent ordinal data

Ip, R. H. L. & Wu, K. K. Y., 2024, In: Journal of Applied Statistics. 51, 1, p. 70-86 17 p.

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2 Citations (Scopus)

A mixture distribution for modelling bivariate ordinal data

Ip, R. H. L. & Wu, K. Y. K., 2024, In: Statistical Papers. 65, 7, p. 4453-4488 36 p.

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Analysis of Data Cleansing Methods for Improving Meteorological Data Quality: A Case Study

Rahman, G. & Khan, M. A. H., 06 Dec 2024, In: Earth Science Informatics.

Research output: Contribution to journal › Article › peer-review

An architectural framework of elderly healthcare monitoring and tracking through wearable sensor technologies

Alsadoon, A., Al-Naymat, G. & Jerew, O. D., Aug 2024, In: Multimedia Tools and Applications. 83, 26, p. 67825-67870 46 p.

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7 Citations (Scopus)

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An efficient approach for discovering Graph Entity Dependencies (GEDs)

Liu, D., Kwashie, S., Zhang, Y., Zhou, G., Bewong, M., Wu, X., Guo, X., He, K. & Feng, Z., Nov 2024, In: Information Systems. 125, 14 p., 102421.

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1 Citation (Scopus)

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An improved rock damage model from a cyclic temperature – triaxial loading experiment for compressed air energy storage caverns

Yu, Z., Shen, S., Li, M., Zhang, M., Tian, L. & Hua, G., Dec 2024, In: Engineering Geology.

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A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes

Nobel, S. M. N., Swapno, S. M. M. R., Islam, M. B., Azad, A. K. M., Alyami, S. A., Alamin, M., Liò, P. & Moni, M. A., 2024, (Accepted/In press) In: Advanced Intelligent Systems.

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A robust deep learning approach for identification of RNA 5-methyluridine sites

Shaon, M. S. H., Karim, T., Ali, M. M., Ahmed, K., Bui, F. M., Chen, L. & Moni, M. A., Dec 2024, In: Scientific Reports. 14, 1, 25688.

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Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches

Sajib, A. M., Diganta, M. T. M., Moniruzzaman, M., Rahman, A., Dabrowski, T., Uddin, M. G. & Olbert, A. I., May 2024, In: Ecological Informatics. 80, p. 1-23 23 p., 102514.

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16 Citations (Scopus)

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Assessment of non-destructive nuclear and non-nuclear asphalt density testing devices for Australian road construction

Wood, N., Rahman, A., Ip, R. H. L. & Graham, J., 2024, (Accepted/In press) In: Nondestructive Testing and Evaluation. p. 1-21 21 p., 2427343.

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Association of litter size with the ruminal microbiome structure and metabolomic profile in goats

Raza, S. H. A., Khan, M., Ni, X., Zhao, X., Yang, H., Jiang, Y., Danzeng, B., Ouyang, Y., Pant, S. D., Zhong, R. & Quan, G., Jul 2024, In: Scientific Reports. 14, 1, 11 p., 15476.

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A three-stage model of quantifying and analyzing power network resilience based on network theory

Wang, S., Guo, Z., Huang, X. & Zhang, J., Jan 2024, In: Reliability Engineering and System Safety. 241, 12 p., 109681.

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

A unified acoustic emission model for stiffened and damaged siltstone under cyclic thermal and mechanical loading of an energy storage system

Yu, Z., Shen, S., Li, M., Zhang, M., Tian, L. & Hua, G., 23 Feb 2024, In: Construction and Building Materials. 417, 13 p., 135284.

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1 Citation (Scopus)

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Bitou bush detection and mapping using UAV-based multispectral and hyperspectral imagery and artificial intelligence

Amarasingam, N., Kelly, J. E., Sandino , J., Hamilton, M., Gonzalez, F., Dehaan, R. L., Zheng, L. & Cherry, H., Apr 2024, In: Remote Sensing Applications: Society and Environment. 34, 44 p., 101151.

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1 Citation (Scopus)

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Bone metastasis scintigram generation using generative adversarial learning with multi-receptive field learning and two-stage training

Lin, Q., Xie, A., Zeng, X., Cao, Y., Man, Z., Hao, Y., Liu, C. & Huang, X., 03 Sept 2024, In: Medical Physics. 14 p.

Research output: Contribution to journal › Article › peer-review

Breaking new ground in cardiovascular heart disease Diagnosis K-RFC: An integrated learning approach with K-means clustering and Random Forest classifier

Osman, A. H., Ibrahim, A. O., Alsadoon, A., Alzahrani, A. A., Barukub, O. M., Abulfaraj, A. W. & Alharbi, N. M., 2024, In: AIMS Mathematics. 9, 4, p. 8262-8291 30 p.

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Combined location online weather data: easy-to-use targeted weather analysis for agriculture

Yates, D., Blanchard, C., Clarke, A., Rehman, S. U., Islam, M. Z., Ford, R. & Walsh, R., Sept 2024, In: Climatic Change. 177, 9, 19 p., 138.

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COVIDHealth: A novel labeled dataset and machine learning-based web application for classifying COVID-19 discourses on Twitter

Bishal, M. M., Chowdory, M. R. H., Das, A. & Kabir, M. A., 30 Jul 2024, In: Heliyon. 10, 14, p. 1-17 17 p., e34103.

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Crop yield prediction through machine learning: A path towards sustainable agriculture and climate resilience in Saudi Arabia

M Islam, M., Alharthi, M., S. Alkadi, T., Islam, R. & Masum, A. K. M., 2024, In: AIMS Agriculture and Food. 9, 4, p. 980-1003 24 p.

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Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches

Uddin, M. G., Nash, S., Rahman, A., Dabrowski, T. & Olbert, A. I., 01 Feb 2024, In: Environmental Research. 242, p. 1-22 22 p., 117755.

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27 Citations (Scopus)

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Deep learning models for human age prediction to prevent, treat and extend life expectancy: DCPV taxonomy

Alsadoon, A., Al-Naymat, G. & Islam, M. R., Jan 2024, In: Multimedia Tools and Applications. 83, p. 4825-4857 33 p.

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Detection of Alzheimer's Disease Using Hybrid Meta-ROI of MRI Structural Images

Zheng, X., 02 Oct 2024, In: Diagnostics. 14, 19, 11 p., 2203.

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Diversity and heterogeneity of smallholder vegetable farming systems and their impact on food security and income in Malawi

Nzima, W. M., Ip, R. H. L., Bhatti, M. A., Godfrey, S. S., Eik, L. O., Gondwe, S. R. & Divon, S. A., 11 Jul 2024, In: Frontiers in Sustainable Food Systems. 8, 1387912.

Research output: Contribution to journal › Article › peer-review