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  • 2023

    A calculation model for the spatial distribution and reserves of ground ice - A case study of the Northeast China permafrost area

    Zhang, Z., Li, M., Wang, J., Yin, Z., Yang, Y., Xun, X. & Wu, Q., 2023, In: Engineering Geology. 315

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

  • Advanced quantum image representation and compression using a DCT-EFRQI approach

    Haque, M. E., Paul, M., Ul-Haq, A. & Debnath, T., 2023, In: Scientific Reports.

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

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  • An Automated Identification Approach for Partial Discharge Detection Using Density Based Clustering Without User Inputs

    Rahman, M. A., Ang, L. M. & Seng, K. P., 17 Jan 2023, (E-pub ahead of print) In: IEEE Transactions on Artificial Intelligence.

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

  • A New Augmented Reality System for Calculating Social Distancing between Children at School

    Alshaweesh, O., Wedyan, M., Alazab, M., Abu-Salih, B. & Al-Jumaily, A., Jan 2023, In: Electronics (Switzerland). 12, 2, 11 p., 358.

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  • A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches

    Uddin, M. G., Nash, S., Rahman, A. & Olbert, A. I., 01 Feb 2023, In: Water Research. 229, p. 1-24 24 p., 119422.

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    3 Citations (Scopus)
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  • A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method

    Sultana, H., Kamal, A. H. M., Hossain, G. & Kabir, A., 2023, In: Future Internet. 15, 3, 22 p., 108.

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  • A sophisticated model for rating water quality

    Uddin, M. G., Nash, S., Rahman, A. & Olbert, A. I., 10 Apr 2023, In: Science of the Total Environment. 868, 23 p., 161614.

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  • Assessing optimization techniques for improving water quality model

    Uddin, M. G., Nash, S., Rahman, A. & Olbert, A. I., 20 Jan 2023, In: Journal of Cleaner Production. 385, 16 p., 135671.

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    1 Citation (Scopus)
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  • Awareness requirement and performance management for adaptive systems: a survey

    Rashid, T. A., Hassan, B. A., Alsadoon, A., Qader, S., Vimal, S., Chhabra, A. & Yaseen, Z. M., 2023, (Accepted/In press) In: Journal of Supercomputing.

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

  • Deep Feature Meta-Learners Ensemble Models for COVID-19 CT Scan Classification

    Thomas, J. B., Shihabudheen, K. V., Sulthan, S. M. & Al-Jumaily, A., Feb 2023, In: Electronics (Switzerland). 12, 3, 24 p., 684.

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  • Dependable Intrusion Detection System for IoT: A Deep Transfer Learning Based Approach

    Mehedi, S. T., Anwar, A., Rahman, Z., Ahmed, K. & Islam, R., 01 Jan 2023, In: IEEE Transactions on Industrial Informatics. 19, 1, p. 1006-1017 12 p.

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

    5 Citations (Scopus)

  • Design and development of a smartphone app for hypertension management: An intervention mapping approach

    Lobo, E., Karmakar, C., Abdelrazek, M., Abawajy, J. H., Chow, C., Zhang, Y., Kabir, A., Daryabeygi, R., Maddison, R. & Islam, S. M. S., 2023, In: Frontiers in Public Health. 11, 15 p., 1092755.

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  • Hyperspectral Image Classification via Information Theoretic Dimension Reduction

    Ul-Haq, A., 2023, In: Remote Sensing. 15, 4

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

  • IMC-NLT: Incomplete multi-view clustering by NMF and low-rank tensor

    Liu, Z., Chen, Z., Li, Y., Zhao, L., Yang, T., Farahbakhsh, R., Crespi, N. & Huang, X., 01 Jul 2023, In: Expert Systems with Applications. 221

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

  • Integrating Transfer Learning and Feature Aggregation into Self-defined Convolutional Neural Network for Automated Detection of Lung Cancer Bone Metastasis

    Guo, Y., Lin, Q., Wang, Y., Cao, X., Cao, Y., Man, Z., Zeng, X. & Huang, X., Feb 2023, In: Journal of Medical and Biological Engineering. 43, 1, p. 53-62 10 p.

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

  • Machine Learning Techniques for Estimating Soil Moisture from Smartphone Captured Images

    Hossain, M. R. H. & Kabir, A., 2023, In: Agriculture. 13, 25 p., 574.

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  • Multiview Deep Forest for Overall Survival Prediction in Cancer

    Li, Q., Du, Z., Chen, Z., Huang, X. & Li, Q., 18 Jan 2023, In: Computational and Mathematical Methods in Medicine. 2023

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

  • On the Development of a Protection Profile Module for Encryption Key Management Components

    Sun, N., Li, C. T., Chan, H., Islam, Z., Islam, M. R. & Armstrong, W., 2023, In: IEEE Access. 11, p. 9113-9121 9 p.

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  • Performance analysis of the water quality index model for predicting water state using machine learning techniques

    Uddin, M. G., Nash, S., Rahman, A. & Olbert, A. I., Jan 2023, In: Process Safety and Environmental Protection. 169, p. 808-828 21 p., 169(2023).

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    3 Citations (Scopus)
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  • Prevalence, determinants and consequences of problematic smartphone use among preschoolers (3-5 years) from Dhaka, Bangladesh: A cross-sectional investigation

    Abdulla, F., Hossain, M. M., Huq, M. N., Hai, A., Rahman, A., Kabir, R., Peya, F. J., Islam, S. & Khan, H. T. A., 2023, (E-pub ahead of print) In: Journal of Affective Disorders. 329, p. 413-427 15 p.

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

  • Prevalence and risk predictors of childhood stunting in Bangladesh

    Abdulla, F., Rahman, A. & Hossain, M. M., Jan 2023, In: PLoS One. 18, 1 January, e0279901.

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  • Risk factors of caesarean deliveries in urban-rural areas of Bangladesh

    Abdulla, F., Hossain, M. M., Rahman, M. M., Rahman, M. S. & Rahman, A., 2023, In: Frontiers in reproductive health. 5, 2023, p. 1-12 12 p., 1101400.

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

  • Robustness improvement strategy of cyber-physical systems with weak interdependency

    Wang, S., Gu, X., Chen, J., Chen, C. & Huang, X., Jan 2023, In: Reliability Engineering and System Safety. 229, 108837.

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

    1 Citation (Scopus)

  • Segmentation of lung cancer-caused metastatic lesions in bone scan images using self-defined model with deep supervision

    Cao, Y., Liu, L., Chen, X., Man, Z., Lin, Q., Zeng, X. & Huang, X., Jan 2023, In: Biomedical Signal Processing and Control. 79

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

  • Temperature modeling with group method of data handling to inform projected rainfall depth changes for extreme events in Central West, New South Wales, Australia

    Lake, R., Shaeri, S. & Senevirathna, L., 09 Jan 2023, In: Water. 15, 2, 10 p., 268.

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  • 2022

    3DSMDA-Net: An improved 3DCNN with separable structure and multi-dimensional attention for welding status recognition

    Liu, T., Wang, J., Huang, X., Lu, Y. & Bao, J., Jan 2022, In: Journal of Manufacturing Systems. 62, p. 811-822 12 p.

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

    7 Citations (Scopus)

  • A commonality modeling framework for enhanced video coding leveraging on the cuboidal partitioning based representation of frames

    Ahmmed, A., Murshed, M., Paul, M. & Taubman, D. S. S., 2022, In: IEEE Transactions on Multimedia. 24, p. 4446-4457 12 p.

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

    2 Citations (Scopus)

  • A comparison of rural Australian First Nations and Non-First Nations survey responses to COVID-19 risks and impacts: Implications for health communications

    Allan, J., Kleinschafer, J., Saksena, T., Rahman, A., Lawrence, J. & Lock, M., 30 Jun 2022, In: BMC Public Health. 22, 1, p. 1276 12 p., 1276.

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

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    3 Citations (Scopus)
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  • A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment

    Uddin, M. G., Nash, S., Rahman, A. & Olbert, A. I., 01 Jul 2022, In: Water Research. 219, p. 118532 20 p., 118532.

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

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    18 Citations (Scopus)
    128 Downloads (Pure)

  • Adaptive Decision Forest: An incremental machine learning framework

    Rahman, G. & Islam, Z., Feb 2022, In: Pattern Recognition. 122, p. 1-35 35 p., 108345.

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

    4 Citations (Scopus)

  • A deep semantic vegetation health monitoring platform for citizen science imaging data

    Khan, A., Asim, W., Ul-Haq, A. & Robinson, R. W., 27 Jul 2022, In: PLoS One. 17, 7 July, p. 1-21 21 p., e0270625.

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  • A framework for supervised heterogeneous transfer learning using dynamic distribution adaptation and manifold regularization

    Rahman, G. & Islam, M. Z., 11 Oct 2022, In: IEEE Transactions on Services Computing. p. 1-18 18 p.

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

  • Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: Results from the Global Burden of Disease Study 2019

    GBD 2019 LRI Collaborators & Rahman, A., Nov 2022, In: The Lancet Infectious Diseases. 22, 11, p. 1626-1647 22 p., 00510-2.

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

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    4 Citations (Scopus)
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  • A hybrid approach to enhance the lifespan of WSNs in nuclear power plant monitoring system

    Haque, M. E., Hossain, T., Sarker, M. R., Paul, M., Hoque, M. S., Uddin, S., Suman, A. A., Md Saad, M. H. & Ul Huque, T., 14 Mar 2022, In: Scientific Reports. 12, 1, p. 4381 14 p., 4381.

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  • All-sky, all-frequency directional search for persistent gravitational waves from Advanced LIGO's and Advanced Virgo's first three observing runs

    (LIGO Scientific Collaboration, the Virgo Collaboration, and the KAGRA Collaboration), Abbott, R., Abbott, T. D., Acernese, F., Ackley, K., Adams, C., Adhikari, N., Adhikari, R. X., 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., & 231 othersAllocca, A., Altin, P. A., Amato, A., Anand, C., Anand, S., Ananyeva, A., Anderson, S. B., Anderson, W. G., Ando, M., Andrade, T., Andres, N., Andrić, T., Angelova, S. V., Ansoldi, S., Antelis, J. M., Antier, S., Appert, S., Arai, K., Arai, K., Arai, Y., Araki, S., Araya, A., Araya, M. C., Areeda, J. S., Arène, M., Aritomi, N., Arnaud, N., Aronson, S. M., Arun, K. G., Asada, H., Asali, Y., Ashton, G., Aso, Y., Assiduo, M., Aston, S. M., Astone, P., Aubin, F., Austin, C., Babak, S., Badaracco, F., Bader, M. K. M., Badger, C., Bae, S., Bae, Y., Baer, A. M., Bagnasco, S., Bai, Y., Baiotti, L., Baird, J., Bajpai, R., Ball, M., Ballardin, G., Ballmer, S. W., Balsamo, A., Baltus, G., Banagiri, S., 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., Bassiri, R., Basti, A., Bawaj, M., Bayley, J. C., Baylor, A. C., Bazzan, M., Bécsy, B., Bedakihale, V. M., Bejger, M., Belahcene, I., Benedetto, V., Beniwal, D., Bennett, T. F., Bentley, J. D., Benyaala, M., Bergamin, F., Berger, B. K., Bernuzzi, S., Bersanetti, D., Bertolini, A., Betzwieser, J., Beveridge, D., Bhandare, R., Bhardwaj, U., Bhattacharjee, D., Bhaumik, S., 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., 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., Bulik, T., Bulten, H. J., Buonanno, A., Buscicchio, R., Buskulic, D., Buy, C., Byer, R. L., Cadonati, L., Cagnoli, G., Cahillane, C., Bustillo, J. C., 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., Carlin, J. B., Carney, M. F., Carpinelli, M., Carrillo, G., Carullo, G., Carver, T. L., Diaz, J. C., Casentini, C., Castaldi, G., Caudill, S., Cavaglià, M., Cavalier, F., Cavalieri, R., Ceasar, M., Cella, G., Cerdá-Durán, P., Cesarini, E., Chaibi, W., Chakravarti, K., Subrahmanya, S. C., Champion, E., Chan, C. H., Chan, C. L., Chan, C. L., Chan, K., Chan, M., Chandra, K., Chanial, P., Chao, S., Charlton, P., Chase, E. A., Chassande-Mottin, E., Chatterjee, C., Chatterjee, D., Chatterjee, D., Chaturvedi, M., Chaty, S., Chen, C., Chen, H. Y., Chen, J., Chen, K., Chen, X., Chen, Y. B., Chen, Y. R., Chen, Z., Cheng, H., Cheong, C. K., Cheung, H. Y., Chia, H. Y., Chiadini, F., Chiang, C. Y., Chiarini, G., Chierici, R., Chincarini, A. & Chiofalo, M. L., 09 Jun 2022, In: Physical Review D. 105, 12, p. 1-23 23 p., 122001.

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

    6 Citations (Scopus)

  • All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO and Advanced Virgo O3 data

    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., & 1,649 othersAllocca, A., Altin, P. A., Amato, A., Anand, C., Anand, S., Ananyeva, A., Anderson, S. B., Anderson, W. G., Ando, M., Andrade, T., Andres, N., Andrés-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., Arène, M., Aritomi, N., Arnaud, N., Arogeti, M., Aronson, S. M., 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., Bécsy, 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., 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., Boër, 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., Calderón 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., Casanueva Diaz, J., Casentini, C., Castaldi, G., Caudill, S., Cavaglià, M., Cavalier, F., Cavalieri, R., Cella, G., Cerdá-Durán, P., Cesarini, E., Chaibi, W., Chalathadka Subrahmanya, S., Champion, E., Chan, C. H., Chan, C. L., Chan, C. L., Chan, K., Chan, M., Chandra, K., Chang, I. P., Chanial, P., Chao, S., Chapman-Bird, C., Charlton, P., Chase, E. A., Chassande-Mottin, E., Chatterjee, C., Chatterjee, D., Chatterjee, D., Chaturvedi, M., Chaty, S., Chen, C., Chen, D., Chen, H. Y., Chen, J., Chen, K., Chen, X., Chen, Y. B., Chen, Y. R., Chen, Z., Cheng, H., Cheong, C. K., Cheung, H. Y., Chia, H. Y., Chiadini, F., Chiang, C. Y., Chiarini, G., Chierici, R., Chincarini, A., Chiofalo, M. L., Chiummo, A., Choudhary, R. K., Choudhary, S., Christensen, N., Chu, Q., Chu, Y. K., Chua, S. S. Y., Chung, K. W., Ciani, G., Ciecielag, P., Cieślar, M., Cifaldi, M., Ciobanu, A. A., Ciolfi, R., Cipriano, F., Clara, F., Clark, J. A., Clearwater, P., Clesse, S., Cleva, F., Coccia, E., Codazzo, E., Cohadon, P. F., Cohen, D. E., Colleoni, M., Collette, C. G., Colombo, A., Colpi, M., Compton, C. M., Constancio, M., Conti, L., Cooper, S. J., Corban, P., Corbitt, T. R., Cordero-Carrión, I., Corezzi, S., Corley, K. R., Cornish, N. J., Corre, D., Corsi, A., Cortese, S., Costa, C. A., Cotesta, R., Cottingham, R., Coughlin, M. W., Coulon, J. P., Countryman, S. T., Cousins, B., Couvares, P., Coward, D. M., Cowart, M. J., Coyne, D. C., Coyne, R., Creighton, J. D. E., Creighton, T. D., Criswell, A. W., Croquette, M., Crowder, S. G., Cudell, J. R., Cullen, T. J., Cumming, A., Cummings, R., Cunningham, L., Cuoco, E., Curyło, M., Dabadie, P., Dal Canton, T., Dall'osso, S., Dálya, G., Dana, A., D'Angelo, B., Danilishin, S., D'Antonio, S., Danzmann, K., Darsow-Fromm, C., Dasgupta, A., Datrier, L. E. H., Datta, S., Datta, S., Dattilo, V., Dave, I., Davier, M., Davis, D., Davis, M. C., Daw, E. J., Dean, R., Debra, D., Deenadayalan, M., Degallaix, J., De Laurentis, M., Deléglise, S., Del Favero, V., De Lillo, F., De Lillo, N., Dell'aquila, D., Del Pozzo, W., Demarchi, L. M., De Matteis, F., D'Emilio, V., Demos, N., Dent, T., Depasse, A., De Pietri, R., De Rosa, R., De Rossi, C., Desalvo, R., De Simone, R., Dhurandhar, S., Díaz, M. C., Di Cesare, M., Didio, N. A., Dietrich, T., Di Fiore, L., Di Fronzo, C., Di Giorgio, C., Di Giovanni, F., Di Giovanni, M., Di Girolamo, T., Di Lieto, A., Di Michele, A., Ding, B., Di Pace, S., Di Palma, I., Di Renzo, F., Divakarla, A. K., Dmitriev, A., Doctor, Z., Donahue, L., D'Onofrio, L., Donovan, F., Dooley, K. L., Doravari, S., Dorosh, O., Drago, M., Driggers, J. C., Drori, Y., Ducoin, J. G., Dupej, P., Dupletsa, U., Durante, O., D'Urso, D., Duverne, P. A., Dwyer, S. E., Eassa, C., Easter, P. 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    Research output: Contribution to journal › Article › peer-review

    2 Citations (Scopus)

  • All-sky search for gravitational wave emission from scalar boson clouds around spinning black holes in LIGO O3 data

    (The LIGO Scientific Collaboration, the Virgo Collaboration, and the KAGRA Collaboration), 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., & 231 othersAlfaidi, 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., Andrés-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., Arène, M., Aritomi, N., Arnaud, N., Arogeti, M., Aronson, S. M., Arun, K. G., Asada, H., Asali, Y., Ashton, G., Aso, Y., Assiduo, M., Melo, S. A. D. 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., Bécsy, 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., 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., Boër, 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., Davies, G. S. C., Cabras, G., Cabrita, R., Cadonati, L., Caesar, M., Cagnoli, G., Cahillane, C., Bustillo, J. C., 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., Diaz, J. C., Casentini, C., Castaldi, G., Caudill, S., Cavaglià, M., Cavalier, F., Cavalieri, R., Cella, G., Cerdá-Durán, P., Cesarini, E., Chaibi, W., Subrahmanya, S. C., Champion, E., Chan, C. H., Chan, C. L., Chan, C. L., Chan, K., Chan, M., Chandra, K., Chang, I. P., Chanial, P., Chao, S., Chapman-Bird, C., Charlton, P., Chase, E. A., Chassande-Mottin, E. & Chatterjee, C., 09 May 2022, In: Physical Review D. 105, 10, p. 1-28 28 p., 102001.

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

    13 Citations (Scopus)

  • A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders

    Mahedy Hasan, S. M., Uddin, M. P., Mamun, M. A., Sharif, M. I., Ulhaq, A. & Krishnamoorthy, G., 2022, (Accepted/In press) In: IEEE Access. 11, p. 15038-15057 20 p.

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

    Ip, R. H. L. & Wu, K. K. Y., 30 Aug 2022, (E-pub ahead of print) In: Journal of Applied Statistics. 17 p.

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

  • A multiview semantic vegetation index for robust estimation of urban vegetation cover

    Khan, A., Asim, W., Ul-Haq, A. & Robinson, R. W., 01 Jan 2022, In: Remote Sensing. 14, 1, p. 1-17 17 p., 228.

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

    Open Access
    2 Citations (Scopus)

  • Analyzing the impact of demographic variables on spreading and forecasting COVID-19

    Sharif, O., Islam, M. R., Hasan, M. Z., Kabir, A., Hasan, M. E., AlQahtani, S. A. & Xu, G., Mar 2022, In: Journal of Healthcare Informatics Research. 6, 1, p. 72-90 19 p.

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

  • An assessment of transmission dynamics via time-varying reproduction number of the second wave of the COVID-19 epidemic in Fiji

    Lal, R., Huang, W., Li, Z. & Prasad, S., 31 Aug 2022, In: Royal Society Open Science. 9, 8, p. 1-12 12 p., 220004.

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  • An enhanced algorithm for improving real-time video transmission for tele-training education

    Maharjan, P., Alsadoon, A., Prasad, P. W. C., Al-Khalil, A. B., Jerew, O. D., Alsadoon, G. & Chapagain, B., Mar 2022, In: Multimedia Tools and Applications. 81, 6, p. 8409-8428 20 p.

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

  • A Network Theory Investigation into the Altered Resting State Functional Connectivity in Attention-Deficit Hyperactivity Disorder

    Ul-Haq, A., 2022, arXiv 14 p.

    Research output: Contribution to specialist publication › Article

  • An innovative engineering curriculum to train next generation water engineers: A successful case study

    Krishna Pillai, K., Morgan, J. R. & Senevirathna, L., 04 Mar 2022, (Accepted/In press) In: Heliyon. p. 1-26 26 p.

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  • A novel enhanced convolution neural network with extreme learning machine: Facial emotional recognition in psychology practices

    Banskota, N., Alsadoon, A., Prasad, P. W. C., Dawoud, A., Rashid, T. A. & Alsadoon, O. H., 05 Aug 2022, (E-pub ahead of print) In: Multimedia Tools and Applications. 25 p.

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  • A novel enhanced normalization technique for a mandible bones segmentation using deep learning: Batch normalization with the dropout

    Talat, N., Alsadoon, A., Prasad, P. W. C., Dawoud, A., Rashid, T. A. & Haddad, S., 04 Aug 2022, (E-pub ahead of print) In: Multimedia Tools and Applications. 20 p.

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  • A novel solution of deep learning for endoscopic ultrasound image segmentation: enhanced computer aided diagnosis of gastrointestinal stromal tumor

    Tuladhar, S., Alsadoon, A., Prasad, P. W. C., Ali, A. E. & Alrubaie, A., Jul 2022, In: Multimedia Tools and Applications. 81, 17, p. 23845–23865 21 p.

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  • A novel solution of deep learning for enhanced support vector machine for predicting the onset of type 2 diabetes

    Shrestha, M., Alsadoon, O. H., Alsadoon, A., Al-Dala’in, T., Rashid, T. A., Prasad, P. W. C. & Alrubaie, A., 05 Aug 2022, (E-pub ahead of print) In: Multimedia Tools and Applications. 21 p.

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

  • A novel solution of deep learning for sleep apnea detection: enhancement of SC and elimination of GVICS

    Limbu, N., Alsadoon, A., Prasad, P. W. C., Abdullah, S., Rashid, T. A., Alsadoon, O. H., Jerew, O. D. & Alrubaie, A., Nov 2022, In: Multimedia Tools and Applications. 81, p. 38569-38592 24 p.

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