Items where Author is "Mahmud, M"

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Journal article

FABIETTI, M., MAHMUD, M., LOTFI, A., KAISER, M.S., AVERNA, A., GUGGENMOS, D.J., NUDO, R.J., CHIAPPALONE, M. and CHEN, J., 2021. SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals. Brain Informatics, 8: 14. ISSN 2198-4018

YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2021. Towards a data-driven adaptive anomaly detection system for human activity. Pattern Recognition Letters, 145, pp. 200-207. ISSN 0167-8655

ANDERSSON, K., HOSSAIN, M.S., MAHMUD, M., KAISER, M.S., TAHER, K.A., NAHIAN, M.J.A., GHOSH, T. and BANNA, M.H.A., 2021. Attention-based bi-directional long-short term memory network for earthquake prediction. IEEE Access, 9, pp. 56589-56603. ISSN 2169-3536

ARADHYA, V.N.M., MAHMUD, M., GURU, D.S., AGARWAL, B. and KAISER, M.S., 2021. One-shot cluster-based approach for the detection of COVID–19 from chest X–ray images. Cognitive Computation. ISSN 1866-9956

MUKHERJEE, H., SREERAMA, P., DHAR, A., OBAIDULLAH, S.M., ROY, K., MAHMUD, M. and SANTOSH, K.C., 2021. Automatic lung health screening using respiratory sounds. Journal of Medical Systems, 45 (2): 19. ISSN 0148-5598

YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2021. Detecting anomaly and its sources in activities of daily living. SN Computer Science, 2 (1): 14. ISSN 2661-8907

VARONE, G., HUSSAIN, Z., SHEIKH, Z., HOWARD, A., BOULILA, W., MAHMUD, M., HOWARD, N., MORABITO, F.C. and HUSSAIN, A., 2021. Real-time artifacts reduction during TMS-EEG co-registration: a comprehensive review on technologies and procedures. Sensors, 21 (2): 637, pp. 1-23.

MAHMUD, M., KAISER, M.S., MCGINNITY, T.M. and HUSSAIN, A., 2021. Deep learning in mining biological data. Cognitive Computation. ISSN 1866-9956

MAHMUD, M., KAISER, M.S., MCGINNITY, M.T. and HUSSAIN, A., 2021. Deep learning in mining biological data. Cognitive Computation, 13 (1), pp. 1-33. ISSN 1866-9956

KAISER, M.S., MAHMUD, M., NOOR, M.B.T., ZENIA, N.Z., MAMUN, S.A., ABIR MAHMUD, K.M., AZAD, S., MANJUNATH ARADHYA, V.N., PUNITHA, S., STEPHAN, T., KANNAN, R., HANIF, M., SHARMEEN, T., CHEN, T. and HUSSAIN, A., 2021. iWorkSafe: towards healthy workplaces during COVID-19 with an intelligent pHealth app for industrial settings. IEEE Access.

NOOR, M.B.T., ZENIA, N.Z., KAISER, M.S., MAMUN, S.A. and MAHMUD, M., 2020. Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson's disease and schizophrenia. Brain Informatics, 7 (1), pp. 1-21. ISSN 2198-4018

SHARPE, R.L.S., MAHMUD, M., KAISER, M.S. and CHEN, J., 2020. Gamma entrainment frequency affects mood, memory and cognition: an exploratory pilot study. Brain Informatics, 7 (1): 17. ISSN 2198-4018

CHEN, L., YAN, J., CHEN, J., SHENG, Y., XU, Z. and MAHMUD, M., 2020. An event based topic learning pipeline for neuroimaging literature mining. Brain Informatics, 7 (1): 18. ISSN 2198-4018

BANNA, M.H.A., TAHER, K.A., KAISER, M.S., MAHMUD, M., RAHMAN, M.S., HOSEN, A.S.M.S. and CHO, G.H., 2020. Application of Artificial Intelligence in predicting earthquakes: state-of-the-art and future challenges. IEEE Access.

JU, Z., GUN, L., HUSSAIN, A., MAHMUD, M. and IERACITANO, C., 2020. A novel approach to shadow boundary detection based on an adaptive direction-tracking filter for brain-machine interface applications. Applied Sciences, 10 (19): 6761. ISSN 2076-3417

FARAH, L., HUSSAIN, A., KERROUCHE, A., IERACITANO, C., AHMAD, J. and MAHMUD, M., 2020. A highly-efficient fuzzy-based controller with high reduction inputs and membership functions for a grid-connected photovoltaic system. IEEE Access. ISSN 2169-3536

DEY, N., RAJINIKANTH, V., FONG, S.J., KAISER, M.S. and MAHMUD, M., 2020. Social group optimization–assisted Kapur's entropy and morphological segmentation for automated detection of COVID-19 infection from computed tomography images. Cognitive Computation. ISSN 1866-9956

RABBY, G., AZAD, S., MAHMUD, M., ZAMLI, K.Z. and RAHMAN, M.M., 2020. TeKET: a Tree-Based Unsupervised Keyphrase Extraction Technique. Cognitive Computation. ISSN 1866-9956

LEPARULO, A., MAHMUD, M., SCREMIN, E., POZZAN, T., VASSANELLI, S. and FASOLATO, C., 2019. Dampened slow oscillation connectivity anticipates amyloid deposition in the PS2APP mouse model of Alzheimer’s disease. Cells, 9 (1): 54. ISSN 2073-4409

AZAD, S., ELYA AFIQAH CHE NORDIN, N., NADHIRAH AB RASUL, N., MAHMUD, M. and ZAMLI, K.Z., 2019. A secure hybrid authentication scheme using passpoints and press touch code. IEEE Access. ISSN 2169-3536

YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2019. A consensus novelty detection ensemble approach for anomaly detection in activities of daily living. Applied Soft Computing, 83: 105613. ISSN 1568-4946

ASIF-UR-RAHMAN, M.D., AFSANA, F., MAHMUD, M., KAISER, M.S., AHMED, M.R., KAIWARTYA, O. and JAMES-TAYLOR, A., 2019. Towards a heterogeneous mist, fog, and cloud based framework for the Internet of Healthcare Things. IEEE Internet of Things Journal, 6 (3), pp. 4049-4062. ISSN 2372-2541

ALIYU, A., ABDULLAH, A.H., ASLAM, N., ALTAMEEM, A., RADZI, R.Z., KHAREL, R., MAHMUD, M., PRAKASH, S. and JODA, U.M., 2018. Interference-aware multipath video streaming in vehicular environments. IEEE Access, 6, pp. 47610-47626. ISSN 2169-3536

MAHMUD, M., KAISER, M.S., HUSSAIN, A. and VASSANELLI, S., 2018. Applications of deep learning and reinforcement learning to biological data. IEEE Transactions on Neural Networks and Learning Systems, 29 (6), pp. 2063-2079. ISSN 2162-237X

MAHMUD, M., KAISER, M.S., RAHMAN, M.M., RAHMAN, M.A., SHABUT, A., AL-MAMUN, S. and HUSSAIN, A., 2018. A brain-inspired trust management model to assure security in a cloud based IoT framework for neuroscience applications. Cognitive Computation. ISSN 1866-9956

AFSANA, F., ASIF-UR-RAHMAN, M.D., AHMED, M.R., MAHMUD, M. and KAISER, M.S., 2018. An Energy conserving routing scheme for wireless body sensor nanonetwork communication. IEEE Access, 6, pp. 9186-9200. ISSN 2169-3536

KAISER, M.S., LWIN, K.T., MAHMUD, M., HAJIALIZADEH, D., CHAIPIMONPLIN, T., SARHAN, A. and HOSSAIN, M.A., 2017. Advances in crowd analysis for urban applications through urban event detection. IEEE Transactions on Intelligent Transportation Systems. ISSN 1524-9050

FONTANA, R., AGOSTINI, M., MURANA, E., MAHMUD, M., SCREMIN, E., RUBEGA, M., SPARACINO, G., VASSANELLI, S. and FASOLATO, C., 2017. Early hippocampal hyperexcitability in PS2APP mice: role of mutant PS2 and APP. Neurobiology of Aging, 50, pp. 64-76. ISSN 0197-4580

MAHMUD, M., CECCHETTO, C. and VASSANELLI, S., 2016. An automated method for characterization of evoked single-trial local field potentials recorded from rat barrel cortex under mechanical whisker stimulation. Cognitive Computation, 8 (5), pp. 935-945. ISSN 1866-9956

KAISER, M.S., CHOWDHURY, Z.I., MAMUN, S.A., HUSSAIN, A. and MAHMUD, M., 2016. A neuro-fuzzy control system based on feature extraction of surface electromyogram signal for solar-powered wheelchair. Cognitive Computation, 8 (5), pp. 946-954. ISSN 1866-9956

MAHMUD, M. and VASSANELLI, S., 2016. Processing and analysis of multichannel extracellular neuronal signals: state-of-the-art and challenges. Frontiers in Neuroscience, 10: 248. ISSN 1662-453X

MAHMUD, M. and VASSANELLI, S., 2016. Differential modulation of excitatory and inhibitory neurons during periodic stimulation. Frontiers in Neuroscience, 10: 62. ISSN 1662-453X

VASSANELLI, S. and MAHMUD, M., 2016. Trends and challenges in neuroengineering: toward "Intelligent" neuroprostheses through brain-"brain inspired systems" communication. Frontiers in Neuroscience, 10: 438. ISSN 1662-453X

MAHMUD, M., PULIZZI, R., VASILAKI, E. and GIUGLIANO, M., 2014. QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate microelectrode arrays. Frontiers in Neuroinformatics, 8: 26. ISSN 1662-5196

MAHMUD, M., BERTOLDO, A., GIRARDI, S., MASCHIETTO, M. and VASSANELLI, S., 2012. SigMate: a MATLAB-based automated tool for extracellular neuronal signal processing and analysis. Journal of Neuroscience Methods, 207 (1), pp. 97-112. ISSN 0165-0270

RAHMAN, M.M. and MAHMUD, M., 2012. Neuromuscular junction transmission is effected by quantum entanglement of ion transition states. Biomedical Engineering / Biomedizinische Technik, 57 (S1), pp. 817-820. ISSN 0013-5585

VASSANELLI, S., MAHMUD, M., GIRARDI, S. and MASCHIETTO, M., 2012. On the way to large-scale and high-resolution brain-chip interfacing. Cognitive Computation, 4 (1), pp. 71-81. ISSN 1866-9956

MAHMUD, M., RAHMAN, M.M., TRAVALIN, D., RAIF, P. and HUSSAIN, A., 2012. Service oriented architecture based web application model for collaborative biomedical signal analysis. Biomedical Engineering / Biomedizinische Technik, 57 (S1), pp. 780-783. ISSN 0013-5585

MAHMUD, M., TRAVALIN, D., BERTOLDO, A., GIRARDI, S., MASCHIETTO, M. and VASSANELLI, S., 2012. An automated classification method for single sweep local field potentials recorded from rat barrel cortex under mechanical whisker stimulation. Journal of Medical and Biological Engineering, 32 (6), pp. 397-404. ISSN 1609-0985

MAHMUD, M., PASQUALOTTO, E., BERTOLDO, A., GIRARDI, S., MASCHIETTO, M. and VASSANELLI, S., 2011. An automated method for detection of layer activation order in information processing pathway of rat barrel cortex under mechanical whisker stimulation. Journal of Neuroscience Methods, 196 (1), pp. 141-150. ISSN 0165-0270

Chapter in book

FABIETTI, M., MAHMUD, M. and LOTFI, A., 2021. On-chip machine learning for portable systems: application to electroencephalography-based brain-computer interfaces. In: 2021 International Joint Conference on Neural Networks (IJCNN) proceedings. IEEE. ISBN 9781665445979

FABIETTI, M., MAHMUD, M. and LOTFI, A., 2021. Anomaly detection in invasively recorded neuronal signals using deep neural network: effect of sampling frequency. In: M. MAHMUD, M. SHAMIM KAISER, N. KASABOV, K. IFTEKHARUDDIN and N. ZHONG, eds., Applied Intelligence and Informatics: first international conference, AII 2021, Nottingham, UK, July 30–31, 2021, Proceedings. Communications in Computer and Information Science (1435). Cham: Springer International Publishing, pp. 79-91. ISBN 9783030822682

FABIETTI, M., MAHMUD, M., LOTFI, A., AVERNA, A., GUGGENMOS, D., NUDO, R. and CHIAPPALONE, M., 2021. Signal power affects artefact detection accuracy in chronically recorded local field potentials: preliminary results. In: 10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021. IEEE, pp. 166-169. ISBN 9781728143378

KAISER, M.S., AL MAMUN, S., MAHMUD, M. and TANIA, M.H., 2021. Healthcare robots to combat COVID-19. In: K.C. SANTOSH and A. JOSHI, eds., COVID-19: prediction, decision-making, and its impacts. Lecture notes on data engineering and communications technologies (60). Singapore: Springer, Singapore, pp. 83-97. ISBN 9789811596810

MAHMUD, M. and KAISER, M.S., 2021. Machine learning in fighting pandemics: a COVID-19 case study. In: K.C. SANTOSH and A. JOSHI, eds., COVID-19: prediction, decision-making, and its impacts. Lecture notes on data engineering and communications technologies (60). Singapore: Springer, Singapore, pp. 77-81. ISBN 9789811596810

FABIETTI, M., MAHMUD, M. and LOTFI, A., 2021. A Matlab-based open-source toolbox for artefact removal from extracellular neuronal signals. In: M. MAHMUD, M. SHAMIM KAISER, S. VASSANELLI, Q. DAI and N. ZHONG, eds., Brain Informatics: 14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings. Lecture notes in computer science (12960). Cham: Springer International Publishing, pp. 351-365. ISBN 9783030869922

BHAPKAR, H.R., MAHALLE, P.N., SHINDE, G.R. and MAHMUD, M., 2021. Rough sets in COVID-19 to predict symptomatic cases. In: K.C. SANTOSH and A. JOSHI, eds., COVID-19: prediction, decision-making, and its impacts. Lecture notes on data engineering and communications technologies (60). Singapore: Springer, Singapore, pp. 57-68. ISBN 9789811596810

FABIETTI, M., MAHMUD, M., LOTFI, A., AVERNA, A., GUGGENMOS, D., NUDO, R. and CHIAPPALONE, M., 2020. Adaptation of convolutional neural networks for multi-channel artifact detection in chronically recorded local field potentials. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI) proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 1607-1613. ISBN 9781728125473

YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2020. Towards the development of an adaptive system for detecting anomaly in human activities. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI) proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 534-541. ISBN 9781728125473

FABIETTI, M., MAHMUD, M. and LOTFI, A., 2020. Effectiveness of employing multimodal signals in removing artifacts from neuronal signals: an empirical analysis. In: M. MAHMUD, S. VASSANELLI, M.S. KAISER and N. ZHONG, eds., Brain Informatics: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings. Lecture Notes in Computer Science (12241). Springer International Publishing, pp. 183-193. ISBN 9783030592769

FABIETTI, M., MAHMUD, M. and LOTFI, A., 2020. Machine learning in analysing invasively recorded neuronal signals: available open access data sources. In: M. MAHMUD, S. VASSANELLI, M.S. KAISER and N. ZHONG, eds., Brain Informatics: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings. Lecture Notes in Computer Science (12241). Springer International Publishing, pp. 151-162. ISBN 9783030592769

FROST, D. and MAHMUD, M., 2020. Strengthening health systems in low-income countries: a stakeholder engagement framework. In: S. VIRKAR, M. JANSSEN, I. LINDGREN, U. MELIN, F. MUREDDU, P. PARYCEK, E. TAMBOURIS, G. SCHWABE and H. JOCHEN SCHOLL, eds., Proceedings of ongoing research, practitioners, workshops, posters, and projects of the international conference EGOV-CeDEM-ePart 2020. Laxenburg: International Federation for Information Processing (IFIP), pp. 215-222.

FABIETTI, M., MAHMUD, M., LOTFI, A., AVARUA, A., GUGGANMOS, D., XUDO, R. and CHIAPPALONE, M., 2020. Neural network-based artifact detection in local field potentials recorded from chronically implanted neural probes. In: 2020 International Joint Conference on Neural Networks (IJCNN). 2020 conference proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781728169262

YAHAYA, S.W., LOTFI, A., MAHMUD, M., MACHADO, P. and KUBOTA, N., 2020. Gesture recognition intermediary robot for abnormality detection in human activities. In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI). Institute of Electrical and Electronics Engineers (IEEE), pp. 1415-1421. ISBN 9781728124865

YAHAYA, S.W., LOTFI, A., MAHMUD, M., MACHADO, P. and KUBOTA, N., 2019. Gesture recognition intermediary robot for abnormality detection in human activities. In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 6-9 December 2019. Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781728124858

YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2019. A framework for anomaly detection in activities of daily living using an assistive robot. In: Proceedings of the 2nd UK-RAS Robotics and Autonomous Systems Conference, Loughborough, 24 January 2019. London: UK-RAS Network, pp. 131-134.

YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2019. A similarity measure approach for identifying causes of anomaly in activities of daily living. In: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '19, Rhodes, Greece, 5-7 June 2019. New York: ACM, pp. 575-579. ISBN 9781450362320

This list was generated on Fri Oct 22 12:08:35 2021 UTC.