Dac-Nhuong Le

Verified email at hus.edu.vn

Faculty of Information Technology
Haiphong University, Haiphong, Vietnam



                                                                             

https://researchid.co/httpsresearchid.conhuongld

Dac-Nhuong Le (Lê Đắc Nhường) has a M.Sc. and Ph.D in computer science from Vietnam National University, Vietnam in 2009 and 2015, respectively. He is Associate Professor in Computer Science, Deputy-Head of Faculty of Information Technology, Haiphong University, Vietnam. Presently, he is also the Vice-Director of Information Technology Apply and Foreign Language Training Center in the same university.

He has a total academic teaching experience of 12 years with many publications in reputed international conferences, journals and online book chapter contributions (Indexed By: SCI, SCIE, SSCI, Scopus, ACM, DBLP). His area of research include: Soft computing, Network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT and Image processing in biomedical.

His core work in network security, soft computing and IoT and image processing in biomedical. Recently, he has been the technique program committee, the technique reviews, the track chair for international conferences: FICTA 2014, CSI 2014, IC4SD 2015, ICICT 2015, INDIA 2015, IC3T 2015, INDIA 2016, FICTA 2016, ICDECT 2016, IUKM 2016, INDIA 2017, FICTA 2017, CISC 2017, ICICC 2018, ICCUT 2018, FICTA 2018 under Springer-ASIC/LNAI Series.

Presently, he is serving in the editorial board of international journals and he authored/edited 12 computer science books by Springer, Wiley, CRC Press.

website: http://www.dhhp.edu.vn/~nhuongld
email: nhuongld@dhhp.edu.vn

RESEARCH INTERESTS

Computer Science, Evolutionary Multi-objective Optimization, Network Communication and Security, Biomedical Imaging

FUTURE PROJECTS

Research on Some Optimization Algorithms for Risk and Conflict Management in Software Project Scheduling (NAFOSTED 102.03-2019.10)

Risks and conflicts are subjective events that interfere with the development of software projects. Because risks and conflicts cannot be completely eliminated during the project schedule due to complexity arising from unique characteristics, variability, lack of data, structure, and deviation in prediction/estimation. Many different techniques and tools have been developed to support better project scheduling, but the quantification of risk factors and conflicts has not been adequately considered. In it, the most challenging problem is estimating the time and resources for each specific task in project scheduling. Most research on software project risk analysis focuses on finding the link between risk factors and project outcomes. The goal of risk and conflict management problems in software projects is to provide a multi-objective optimization plan to manage and minimize its level of damage. Therefore, it is almost impossible to find exact algorithms in polynomial time. Then, we need to consider the design of optimal algorithms with the best approximation to help accurately predict, quantify risks, conflicts, as well as their consequences, impact on the project from the critical process, is project planning.


Applications Invited
114

Scopus Publications

2780

Scholar Citations

27

Scholar h-index

72

Scholar i10-index

Scopus Publications

  • A Comparative Analysis of Performances of Different Ensemble Approaches for Classification of Android Malwares
    Abhishek Bhattacharya, Soumi Dutta, Mohammad Kamrul Hasan, Kusum Yadav, Dac-Nhuong Le, and Pastor Arguelles

    Lecture Notes in Networks and Systems, ISSN: 23673370, eISSN: 23673389, Volume: 491, Pages: 77-86, Published: 2023 Springer Nature Singapore

  • A Deep Trash Classification Model on Raspberry Pi 4
    Thien Khai Tran, Kha Tu Huynh, Dac-Nhuong Le, Muhammad Arif, and Hoa Minh Dinh

    Intelligent Automation and Soft Computing, ISSN: 10798587, eISSN: 2326005X, Pages: 2479-2491, Published: 2023 Computers, Materials and Continua (Tech Science Press)

  • A Novel Design of Morlet Wavelet to Solve the Dynamics of Nervous Stomach Nonlinear Model
    Zulqurnain Sabir, Muhammad Asif Zahoor Raja, S. R. Mahmoud, Mohammed Balubaid, Ali Algarni, Abdulaziz H. Alghtani, Ayman A. Aly, and Dac-Nhuong Le

    International Journal of Computational Intelligence Systems, ISSN: 18756891, eISSN: 18756883, Published: December 2022 Springer Science and Business Media LLC
    AbstractThe present study introduces a novel design of Morlet wavelet neural network (MWNN) models to solve a class of a nonlinear nervous stomach system represented with governing ODEs systems via three categories, tension, food and medicine, i.e., TFM model. The comprehensive detail of each category is designated together with the sleep factor, food rate, tension rate, medicine factor and death rate are also provided. The computational structure of MWNNs along with the global search ability of genetic algorithm (GA) and local search competence of active-set algorithms (ASAs), i.e., MWNN-GA-ASAs is applied to solve the TFM model. The optimization of an error function, for nonlinear TFM model and its related boundary conditions, is performed using the hybrid heuristics of GA-ASAs. The performance of the obtained outcomes through MWNN-GA-ASAs for solving the nonlinear TFM model is compared with the results of state of the article numerical computing paradigm via Adams methods to validate the precision of the MWNN-GA-ASAs. Moreover, statistical assessments studies for 50 independent trials with 10 neuron-based networks further authenticate the efficacy, reliability and consistent convergence of the proposed MWNN-GA-ASAs.

  • Adaptive Neural Backstepping Control Approach for Tracker Design of Wheelchair Upper-Limb Exoskeleton Robot System
    Ayman A. Aly, Kuo-Hsien Hsia, Fayez F. M. El-Sousy, Saleh Mobayen, Ahmed Alotaibi, Ghassan Mousa, and Dac-Nhuong Le

    Mathematics, eISSN: 22277390, Published: November 2022 MDPI AG
    In this study, the desired tracking control of the upper-limb exoskeleton robot system under model uncertainty and external disturbance is investigated. For this reason, an adaptive neural network using a backstepping control strategy is designed. The difference between the actual values of the upper-limb exoskeleton robot system and the desired values is considered as the tracking error. Afterward, the auxiliary variable based on the tracking error is defined and the virtual control input is obtained. Then, by using the backstepping control procedure and Lyapunov stability concept, the convergence of the position tracking error is proved. Moreover, for the compensation of the model uncertainty and the external disturbance that exist in the upper-limb exoskeleton robot system, an adaptive neural-network procedure is adopted. Furthermore, for the estimation of the unknown coefficient related to the parameters of the neural network, the adaptive law is designed. Finally, the simulation results are prepared for demonstration of the effectiveness of the suggested method on the upper-limb exoskeleton robot system.

  • Adaptive Neural Network-Based Fixed-Time Tracking Controller for Disabilities Exoskeleton Wheelchair Robotic System
    Ayman A. Aly, Mai The Vu, Fayez F. M. El-Sousy, Kuo-Hsien Hsia, Ahmed Alotaibi, Ghassan Mousa, Dac-Nhuong Le, and Saleh Mobayen

    Mathematics, eISSN: 22277390, Published: October 2022 MDPI AG
    In this paper, an adaptive neural network approach is developed based on the integral nonsingular terminal sliding mode control method, with the aim of fixed-time position tracking control of a wheelchair upper-limb exoskeleton robot system under external disturbance. The dynamical equation of the upper-limb exoskeleton robot system is obtained using a free and typical model of the robotic manipulator. Afterward, the position tracking error between the actual and desired values of the upper-limb exoskeleton robot system is defined. Then, the integral nonsingular terminal sliding surface based on tracking error is proposed for fixed-time convergence of the tracking error. Furthermore, the adaptive neural network procedure is proposed to compensate for the external disturbance which exists in the upper-limb exoskeleton robotic system. Finally, to demonstrate the effectiveness of the proposed method, simulation results using MATLAB/Simulink are provided.

  • Fuzzy-Based Fixed-Time Nonsingular Tracker of Exoskeleton Robots for Disabilities Using Sliding Mode State Observer
    Ayman A. Aly, Mai The Vu, Fayez F. M. El-Sousy, Ahmed Alotaibi, Ghassan Mousa, Dac-Nhuong Le, and Saleh Mobayen

    Mathematics, eISSN: 22277390, Published: September 2022 MDPI AG
    In this article, the position tracking control of the wheelchair upper-limb exoskeleton robotic system is investigated with the aim of rehabilitation of disabled people. Hence, the fuzzy nonsingular terminal sliding mode control method by using the state observer with a fixed-time convergence rate is designed in three main parts. In the first part, the fixed-time state observer is proposed for estimation of the states of the system. Secondly, the fixed-time convergence of position tracking error of the upper-limb exoskeleton robot system is examined by using the nonsingular terminal sliding mode control approach. In the third part, with the target of the improvement of the controller performance for removal of the chattering phenomenon which diminishes the controller performance, the fuzzy control method is used. Finally, the efficiency and proficiency of the proposed control method on the upper limb exoskeleton robotic system are demonstrated via the simulation results which are provided by MATLAB/Simulink software. In this part, simulation results are obtained based on different initial conditions in two examples using various desired values. Thus, it can be demonstrated that the proposed method applied to the upper-limb exoskeleton robot system is robust under various initial conditions and desired values.

  • Multi-Criteria Service Selection Agent for Federated Cloud
    S. Sudhakar, B. L. Radhakrishnan, P. Karthikeyan, K. Martin Sagayam, and Dac-Nhuong Le

    Journal of Communications Software and Systems, ISSN: 18456421, eISSN: 18466079, Pages: 217-227, Published: September 2022 Croatian Communications and Information Society

  • Towards aspect based requirements mining for trace retrieval of component-based software management process in globally distributed environment
    Sadia Ali, Yaser Hafeez, Mamoona Humayun, N. Z. Jhanjhi, and Dac-Nhuong Le

    Information Technology and Management, ISSN: 1385951X, eISSN: 15737667, Pages: 151-165, Published: September 2022 Springer Science and Business Media LLC

  • A neuro-swarming intelligent heuristic for second-order nonlinear Lane–Emden multi-pantograph delay differential system
    Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Dac-Nhuong Le, and Ayman A. Aly

    Complex and Intelligent Systems, ISSN: 21994536, eISSN: 21986053, Pages: 1987-2000, Published: June 2022 Springer Science and Business Media LLC
    AbstractThe current study is related to present a novel neuro-swarming intelligent heuristic for nonlinear second-order Lane–Emden multi-pantograph delay differential (NSO-LE-MPDD) model by applying the approximation proficiency of artificial neural networks (ANNs) and local/global search capabilities of particle swarm optimization (PSO) together with efficient/quick interior-point (IP) approach, i.e., ANN-PSOIP scheme. In the designed ANN-PSOIP scheme, a merit function is proposed by using the mean square error sense along with continuous mapping of ANNs for the NSO-LE-MPDD model. The training of these nets is capable of using the integrated competence of PSO and IP scheme. The inspiration of the ANN-PSOIP approach instigates to present a reliable, steadfast, and consistent arrangement relates the ANNs strength for the soft computing optimization to handle with such inspiring classifications. Furthermore, the statistical soundings using the different operators certify the convergence, accurateness, and precision of the ANN-PSOIP scheme.

  • An adaptive traffic routing approach toward load balancing and congestion control in Cloud–MANET ad hoc networks
    Surjeet Dalal, Bijeta Seth, Vivek Jaglan, Meenakshi Malik, Surbhi, Neeraj Dahiya, Uma Rani, Dac-Nhuong Le, and Yu-Chen Hu

    Soft Computing, ISSN: 14327643, eISSN: 14337479, Pages: 5377-5388, Published: June 2022 Springer Science and Business Media LLC

  • Integrating encryption techniques for secure data storage in the cloud
    Bijeta Seth, Surjeet Dalal, Vivek Jaglan, Dac‐Nhuong Le, Senthilkumar Mohan, and Gautam Srivastava

    Transactions on Emerging Telecommunications Technologies, eISSN: 21613915, Published: April 2022 Wiley

  • LoRa based intelligent soil and weather condition monitoring with internet of things for precision agriculture in smart cities
    Dushyant Kumar Singh, Rajeev Sobti, Anuj Jain, Praveen Kumar Malik, and Dac‐Nhuong Le

    IET Communications, ISSN: 17518628, eISSN: 17518636, Pages: 604-618, Published: March 2022 Institution of Engineering and Technology (IET)

  • Hybrid Microarray Gene Data Classification Based on GA-ACO Optimization
    N. Karunya, V. A. Kanimozhi, N. Muthumani, M. P. Karthikeyan, and Dac-Nhuong Le

    Lecture Notes in Electrical Engineering, ISSN: 18761100, eISSN: 18761119, Volume: 907, Pages: 141-151, Published: 2022 Springer Nature Singapore

  • Defects Maintainability Prediction of the Software
    Kanta Prasad Sharma, Vinesh Kumar, and Dac-Nhuong Le

    EAI/Springer Innovations in Communication and Computing, ISSN: 25228595, eISSN: 25228609, Pages: 155-166, Published: 2022 Springer International Publishing

  • An Intelligent Prediction Model for Target Protein Identification in Hepatic Carcinoma Using Novel Graph Theory and ANN Model
    G. Naveen Sundar, Stalin Selvaraj, D. Narmadha, K. Martin Sagayam, A. Amir Anton Jone, Ayman A. Aly, and Dac-Nhuong Le

    CMES - Computer Modeling in Engineering and Sciences, ISSN: 15261492, eISSN: 15261506, Volume: 133, Pages: 31-46, Published: 2022 Computers, Materials and Continua (Tech Science Press)

  • An efficient driver behavioral pattern analysis based on fuzzy logical feature selection and classification in big data analysis
    Meenakshi Malik, Rainu Nandal, Surjeet Dalal, Ujjawal Maan, and Dac-Nhuong Le

    Journal of Intelligent and Fuzzy Systems, ISSN: 10641246, eISSN: 18758967, Pages: 3283-3292, Published: 2022 IOS Press
    In recent years, driver behavior analysis plays a vital role to enhance passenger coverage and management resources in the smart transportation system. The real-world environment possesses the driver principles contains a lot of information like driving activities, acceleration, speed, and fuel consumption. In big data analysis, the driver pattern analyses are complex because mining information is not utilized to feature evaluations and classification. In this paper, a new efficient Fuzzy Logical-based driver behavioral pattern analysis has been proposed to offer effective recommendations to the drivers. Primarily, the feature selection can be carried out with the assist of fuzzy logical subset selection. The selected features are then evaluated using frequent pattern information and these measures will be optimized with a multilayer perception model to create behavioral weight. Afterward, the information weights are trained with a test through an optimized spectral neural network. Finally, the neurons are activated by a recurrent neural network to classify the behavioral approach for the superior recommendation. The proposed method will learn the characteristics of driving behaviors and model temporal features automatically without the need for specialized expertise in feature modelling or machine learning techniques. The simulation results manifest that the proposed framework attains better performance with 98.4% of prediction accuracy and 86.8% of precision rate as compared with existing state-of-the-art methods.

  • Adaptive Scheduling Algorithm based Task Loading in Cloud Data Centers
    Dibyendu Mukherjee, Shivnath Ghosh, Souvik Pal, Ayman A. Aly, and Dac-Nhuong Le

    IEEE Access, eISSN: 21693536, Pages: 49412-49421, Published: 2022 Institute of Electrical and Electronics Engineers (IEEE)

  • Enhanced Marathi Speech Recognition Facilitated by Grasshopper Optimisation-Based Recurrent Neural Network
    Ravindra Parshuram Bachate, Ashok Sharma, Amar Singh, Ayman A. Aly, Abdulaziz H. Alghtani, and Dac-Nhuong Le

    Computer Systems Science and Engineering, ISSN: 02676192, Pages: 439-454, Published: 2022 Computers, Materials and Continua (Tech Science Press)

  • Plant Disease Identification Based on Leaf Images Using Deep Learning
    Hardev Mukeshbhai Khandhar, Chintan Bhatt, Dac-Nhuong Le, Harshil Sharaf, and Wathiq Mansoor

    Lecture Notes in Electrical Engineering, ISSN: 18761100, eISSN: 18761119, Volume: 839, Pages: 215-224, Published: 2022 Springer Singapore

  • A Comparative Analysis of Machine Learning Models for Banking News Extraction by Multiclass Classification With Imbalanced Datasets of Financial News: Challenges and Solutions
    Varun Dogra, Sahil Verma, Kavita Verma, NZ Jhanjhi, Uttam Ghosh, and Dac-Nhuong Le

    International Journal of Interactive Multimedia and Artificial Intelligence, eISSN: 19891660, Pages: 35-52, Published: 2022 Universidad Internacional de La Rioja
    School of Computer Science and Engineering, Lovely Professional University, India Department of Computer Science and Engineering, Chandigarh University, Mohali, India School of Computer Science and Engineering, Taylor’s University, Malaysia Department of Computer Science and Data Science, Meharry School of Applied Computational Sciences, Nashville, TN, USA School of Computer Science, Duy Tan University, Danang, 550000, Vietnam Institute of Research and Development, Duy Tan University, Danang, 550000, Vietnam

  • Modeling and Simulation of Two Axes Gimbal Using Fuzzy Control
    Ayman A. Aly, Mohamed O. Elhabib, Bassem F. Felemban, B. Saleh, and Dac-Nhuong Le

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 93-107, Published: 2022 Computers, Materials and Continua (Tech Science Press)

  • Dynamic Data Optimization in IoT-Assisted Sensor Networks on Cloud Platform
    Nguyen A. Tuan, D. Akila, Souvik Pal, Bikramjit Sarkar, Thien Khai Tran, G. Mothilal Nehru, and Dac-Nhuong Le

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 1357-1372, Published: 2022 Computers, Materials and Continua (Tech Science Press)

  • A Novel Compact Frequency and Polarization Reconfigurable Slot Antenna Using PIN Diodes for Cognitive Radio Applications
    V. N. Lakshmana Kumar, M. Satyanarayana, Sohanpal Singh, and Dac-Nhuong Le

    EAI/Springer Innovations in Communication and Computing, ISSN: 25228595, eISSN: 25228609, Pages: 85-95, Published: 2022 Springer International Publishing

  • Deriving driver behavioral pattern analysis and performance using neural network approaches
    Meenakshi Malik, Rainu Nandal, Surjeet Dalal, Vivek Jalglan, and Dac-Nhuong Le

    Intelligent Automation and Soft Computing, ISSN: 10798587, eISSN: 2326005X, Pages: 87-99, Published: 2022 Computers, Materials and Continua (Tech Science Press)

  • W-GeoR: Weighted Geographical Routing for VANET’s Health Monitoring Applications in Urban Traffic Networks
    Pawan Singh, Ram Shringar Raw, Suhel Ahmad Khan, Mazin Abed Mohammed, Ayman A. Aly, and Dac-Nhuong Le

    IEEE Access, eISSN: 21693536, Pages: 38850-38869, Published: 2022 Institute of Electrical and Electronics Engineers (IEEE)

RECENT SCHOLAR PUBLICATIONS

  • A Framework for Hybrid WBSN-VANET-based Health Monitoring Systems
    P Singh, RS Raw, DN Le
    Computational Intelligent Security in Wireless Communications, 51-62 2023

  • A Deep Trash Classification Model on Raspberry Pi 4.
    TK Tran, KT Huynh, DN Le, M Arif, HM Dinh
    Intelligent Automation & Soft Computing 35 (2) 2023

  • Deep Learning Based Automated Chest X-ray Abnormalities Detection
    V Parikh, J Shah, C Bhatt, JM Corchado, DN Le
    Ambient Intelligence—Software and Applications—13th International 2023

  • John Colaco and Rajesh B. Lohani
    DN Le
    Printed Antennas: Design and Challenges, 187 2022

  • Adaptive Neural Backstepping Control Approach for Tracker Design of Wheelchair Upper-Limb Exoskeleton Robot System
    AA Aly, KH Hsia, FFM El-Sousy, S Mobayen, A Alotaibi, G Mousa, DN Le
    Mathematics 10 (22), 4198 2022

  • Adaptive Neural Network-Based Fixed-Time Tracking Controller for Disabilities Exoskeleton Wheelchair Robotic System
    AA Aly, MT Vu, FFM El-Sousy, KH Hsia, A Alotaibi, G Mousa, DN Le, ...
    Mathematics 10 (20), 3853 2022

  • Hybrid Microarray Gene Data Classification Based on GA-ACO Optimization
    N Karunya, VA Kanimozhi, N Muthumani, MP Karthikeyan, DN Le
    Data, Engineering and Applications: Select Proceedings of IDEA 2021, 141-151 2022

  • Data, Engineering and Applications: Select Proceedings of IDEA 2021
    S Sharma, SL Peng, J Agrawal, RK Shukla, DN Le
    Springer Nature 2022

  • Multi-Criteria Service Selection Agent for Federated Cloud
    S Sudhakar, BL Radhakrishnan, P Karthikeyan, KM Sagayam, DN Le
    Journal of Communications Software and Systems 18 (3), 217-227 2022

  • A Comparative Analysis of Performances of Different Ensemble Approaches for Classification of Android Malwares
    A Bhattacharya, S Dutta, MK Hasan, K Yadav, DN Le, P Arguelles Jr
    Emerging Technologies in Data Mining and Information Security: Proceedings 2022

  • Swarm Intelligence and Machine Learning: Applications in Healthcare
    S Agarwal, M Gupta, J Agrawal, DN Le
    CRC Press 2022

  • Defects Maintainability Prediction of the Software
    KP Sharma, V Kumar, DN Le
    Optimization of Automated Software Testing Using Meta-Heuristic Techniques 2022

  • Fuzzy-Based Fixed-Time Nonsingular Tracker of Exoskeleton Robots for Disabilities Using Sliding Mode State Observer
    AA Aly, M The Vu, FFM El-Sousy, A Alotaibi, G Mousa, DN Le, S Mobayen
    Mathematics 10 (17), 3147 2022

  • Analysis of Student’s Feedback About Online Class Using Fuzzy Matrix Theory
    R Murugesan, S Rasappan, SK Kumaravel, NB Nagaram, DN Le
    Proceedings of 2nd International Conference on Mathematical Modeling and 2022

  • An adaptive traffic routing approach toward load balancing and congestion control in Cloud–MANET ad hoc networks
    S Dalal, B Seth, V Jaglan, M Malik, N Dahiya, U Rani, DN Le, YC Hu
    Soft Computing 26 (11), 5377-5388 2022

  • A neuro-swarming intelligent heuristic for second-order nonlinear Lane–Emden multi-pantograph delay differential system
    Z Sabir, MAZ Raja, DN Le, AA Aly
    Complex & Intelligent Systems 8 (3), 1987-2000 2022

  • Architectural Framework for Cloud Computing
    S Pal, DN Le, PK Pattnaik
    Cloud Computing Solutions: Architecture, Data Storage, Implementation and 2022

  • Cloud‐Based Data Storage
    DN Le, S Pal, PK Pattnaik
    Cloud Computing Solutions: Architecture, Data Storage, Implementation and 2022

  • OpenFaaS
    DN Le, S Pal, PK Pattnaik
    Cloud Computing Solutions: Architecture, Data Storage, Implementation and 2022

  • Privacy preservation issues in cloud computing
    PK Pattnaik, DN Le, S Pal
    Cloud Computing Solutions: Architecture, Data Storage, Implementation and 2022

MOST CITED SCHOLAR PUBLICATIONS

  • Virtual Reality (VR) & Augmented Reality (AR) technologies for tourism and hospitality industry
    A Nayyar, B Mahapatra, D Le, G Suseendran
    International journal of engineering & technology 7 (2.21), 156-160 2018
    Citations: 145

  • IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification
    DN Le, VS Parvathy, D Gupta, A Khanna, JJPC Rodrigues, K Shankar
    International Journal of Machine Learning and Cybernetics 2021, 1-14 2021
    Citations: 135

  • An integrated interactive technique for image segmentation using stack based seeded region growing and thresholding.
    S Hore, S Chakraborty, S Chatterjee, N Dey, AS Ashour, L Van Chung, ...
    International Journal of Electrical & Computer Engineering (2088-8708) 6 (6) 2016
    Citations: 122

  • Advances in swarm intelligence for optimizing problems in computer science
    A Nayyar, DN Le, NG Nguyen
    CRC press 2018
    Citations: 94

  • Internet of nano things (IoNT): Next evolutionary step in nanotechnology
    A Nayyar, V Puri, DN Le
    Nanoscience and Nanotechnology 7 (1), 4-8 2017
    Citations: 82

  • COVID-DeepNet: hybrid multimodal deep learning system for improving COVID-19 pneumonia detection in chest X-ray images
    AS Al-Waisy, MA Mohammed, S Al-Fahdawi, MS Maashi, ...
    Computers, Materials and Continua 67 (2), 2409-2429 2021
    Citations: 74

  • A comprehensive investigation of machine learning feature extraction and classification methods for automated diagnosis of covid-19 based on x-ray images
    MA Mohammed, KH Abdulkareem, B Garcia-Zapirain, SA Mostafa, ...
    Comput. Mater. Contin 66, 3289-3310 2021
    Citations: 68

  • Structural failure classification for reinforced concrete buildings using trained neural network based multi-objective genetic algorithm
    S Chatterjee, S Sarkar, S Hore, N Dey, AS Ashour, F Shi, DN Le
    Structural Engineering and Mechanics 63 (4), 429-438 2017
    Citations: 68

  • Synchronization phenomena investigation of a new nonlinear dynamical system 4D by Gardano’s and Lyapunov’s methods
    AA Hamad, AS Al-Obeidi, EH Al-Taiy, OI Khalaf, D Le
    Computers, Materials & Continua 66 (3), 3311-3327 2021
    Citations: 67

  • Smart surveillance robot for real-time monitoring and control system in environment and industrial applications
    A Nayyar, V Puri, NG Nguyen, DN Le
    Information Systems Design and Intelligent Applications: Proceedings of 2018
    Citations: 64

  • Light microscopy image de-noising using optimized LPA-ICI filter
    AS Ashour, S Beagum, N Dey, AS Ashour, DS Pistolla, GN Nguyen, ...
    Neural Computing and Applications, 1-17 2017
    Citations: 64

  • Cloud computing and virtualization
    DN Le, R Kumar, GN Nguyen, JM Chatterjee
    John Wiley & Sons 2018
    Citations: 61

  • Map matching algorithm: real time location tracking for smart security application
    SK Prasad, J Rachna, OI Khalaf, DN Le
    Telecommunications and Radio Engineering 79 (13) 2020
    Citations: 60

  • Integrating encryption techniques for secure data storage in the cloud
    B Seth, S Dalal, V Jaglan, DN Le, S Mohan, G Srivastava
    Transactions on Emerging Telecommunications Technologies 33 (4), e4108 2022
    Citations: 59

  • Efficient dual-cooperative bait detection scheme for collaborative attackers on mobile ad-hoc networks
    OI Khalaf, F Ajesh, AA Hamad, GN Nguyen, DN Le
    IEEE Access 8, 227962-227969 2020
    Citations: 56

  • Healthy and unhealthy rat hippocampus cells classification: A neural based automated system for Alzheimer disease classification
    N Dey, AS Ashour, S Chakraborty, S Samanta, D Sifaki-Pistolla, ...
    Journal of Advanced Microscopy Research 11 (1), 1-10 2016
    Citations: 53

  • A performance analysis of openstack open-source solution for IaaS cloud computing
    VN Van, LM Chi, NQ Long, GN Nguyen, DN Le
    Proceedings of the Second International Conference on Computer and 2016
    Citations: 49

  • Global forecasting confirmed and fatal cases of COVID-19 outbreak using autoregressive integrated moving average model
    D Dansana, R Kumar, J Das Adhikari, M Mohapatra, R Sharma, ...
    Frontiers in public health 8, 580327 2020
    Citations: 48

  • Haralick features-based classification of mammograms using SVM
    V Bhateja, A Gautam, A Tiwari, LN Bao, SC Satapathy, NG Nhu, DN Le
    Information Systems Design and Intelligent Applications: Proceedings of 2018
    Citations: 48

  • Cyber Security in Parallel and Distributed Computing: Concepts, Techniques, Applications and Case Studies
    DN Le, R Kumar, BK Mishra, JM Chatterjee, M Khari
    Wiley, ISBN: 978-1-119-48805-7 2019
    Citations: 45