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
79

Scopus Publications

2155

Scholar Citations

25

Scholar h-index

64

Scholar i10-index

Scopus Publications

  • A comprehensive study on the role of advanced technologies in 5G based smart hospital
    Arun Kumar, R. Dhanagopal, Mahmoud A. Albreem, and Dac-Nhuong Le

    Alexandria Engineering Journal, ISSN: 11100168, Pages: 5527-5536, Published: December 2021 Elsevier BV

  • The impact of the covid-19 pandemic on college students: An online survey
    Thien Khai Tran, Hoa Dinh, Hien Nguyen, Dac-Nhuong Le, Dong-Ky Nguyen, An C. Tran, Viet Nguyen-Hoang, Ha Nguyen Thi Thu, Dinh Hung, Suong Tieu, Canh Khuu, and Tuan A. Nguyen

    Sustainability (Switzerland), eISSN: 20711050, Published: October-1 2021 MDPI AG
    The COVID-19 pandemic, since its beginning in December 2019, has altered every aspect of human life. In Vietnam, the pandemic is in its fourth peak and is the most serious so far, putting Vietnam in the list of top 30 countries with the highest daily cases. In this paper, we wish to identify the magnitude of its impact on college students in Vietnam. As far as we’re concerned, college students belong to the most affected groups in the population, especially in big cities that have been hitting hard by the virus. We conducted an online survey from 31 May 2021 to 9 June 2021, asking students from four representative regions in Vietnam to describe how the pandemic has changed their lifestyle and studying environment, as well as their awareness, compliance, and psychological state. The collected answers were processed to eliminate unreliable ones then prepared for sentiment analysis. To analyze the relationship among the variables, we performed a variety of statistical tests, including Shapiro–Wilk, Mc Nemar, Mann–Whitney–Wilcoxon, Kruskal–Wallis, and Pearson’s Chi-square tests. Among 1875 students who participated, many did not embrace online education. A total of 64.53% of them refused to think that online education would be the upcoming trend. During the pandemic, nearly one quarter of students were in a negative mood. About the same number showed signs of depression. We also observed that there were increasing patterns in sleeping time, body weight, and sedentary lifestyle. However, they maintained a positive attitude toward health protection and compliance with government regulations (65.81%). As far as we know, this is the first project to conduct such a large-scale survey analysis on students in Vietnam. The findings of the paper help us take notice of financial and mental needs and perspective issues for indigent students, which contributes to reducing the pandemic’s negative effects and going forwards to a better and more sustainable life.

  • Capitalizing on big data and revolutionary 5G technology: Extracting and visualizing ratings and reviews of global chain hotels
    Loveleen Gaur, Anam Afaq, Arun Solanki, Gurmeet Singh, Shavneet Sharma, N.Z. Jhanjhi, Hoang Thi My, and Dac-Nhuong Le

    Computers and Electrical Engineering, ISSN: 00457906, Published: October 2021 Elsevier BV

  • Integrated intelligence of neuro-evolution with sequential quadratic programming for second-order Lane–Emden pantograph models
    Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Hafiz Abdul Wahab, Gilder Cieza Altamirano, Yu-Dong Zhang, and Dac-Nhuong Le

    Mathematics and Computers in Simulation, ISSN: 03784754, Volume: 188, Pages: 87-101, Published: October 2021 Elsevier BV

  • Nanoscale heat and mass transport of magnetized 3-D chemically radiative hybrid nanofluid with orthogonal/inclined magnetic field along rotating sheet
    Assad Ayub, Zulqurnain Sabir, Dac-Nhuong Le, and Ayman A. Aly

    Case Studies in Thermal Engineering, ISSN: 2214157X, Published: August 2021 Elsevier BV

  • Computational intelligent paradigms to solve the nonlinear sir system for spreading infection and treatment using levenberg–marquardt backpropagation
    Muhammad Umar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Manoj Gupta, Dac-Nhuong Le, Ayman A. Aly, and Yolanda Guerrero-Sánchez

    Symmetry, eISSN: 20738994, Published: April 2021 MDPI AG
    The current study aims to design an integrated numerical computing-based scheme by applying the Levenberg–Marquardt backpropagation (LMB) neural network to solve the nonlinear susceptible (S), infected (I) and recovered (R) (SIR) system of differential equations, representing the spreading of infection along with its treatment. The solutions of both the categories of spreading infection and its treatment are presented by taking six different cases of SIR models using the designed LMB neural network. A reference dataset of the designed LMB neural network is established with the Adam numerical scheme for each case of the spreading infection and its treatment. The approximate outcomes of the SIR system based on the spreading infection and its treatment are presented in the training, authentication and testing procedures to adapt the neural network by reducing the mean square error (MSE) function using the LMB. Studies based on the proportional performance and inquiries based on correlation, error histograms, regression and MSE results establish the efficiency, correctness and effectiveness of the proposed LMB neural network scheme.

  • Rock Hyraxes Swarm Optimization: A New Nature-Inspired Metaheuristic Optimization Algorithm
    Belal Al-Khateeb, Kawther Ahmed, Maha Mahmood, and Dac-Nhuong Le

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 643-654, Published: 22 March 2021 Computers, Materials and Continua (Tech Science Press)

  • IoT Technology Enabled Heuristic Model with Morlet wavelet neural network for numerical treatment of Heterogeneous Mosquito Release Ecosystem
    Zulqurnain Sabir, Kashif Nisar, Muhammad Asif Zahoor Raja, Muhammad Reazul Haque, Muhammad Umar, Ag Asri Ag Ibrahim, and Dac-Nhuong Le

    IEEE Access, eISSN: 21693536, Published: 2021 Institute of Electrical and Electronics Engineers (IEEE)

  • Neuro-Swarm heuristic using interior-point algorithm to solve a third kind of multi-singular nonlinear system
    Zulqurnain Sabir, , Muhammad Asif Zahoor Raja, Aldawoud Kamal, Juan L.G. Guirao, Dac-Nhuong Le, Tareq Saeed, Mohamad Salama, , , , , , and

    Mathematical Biosciences and Engineering, ISSN: 15471063, eISSN: 15510018, Pages: 5285-5308, Published: 2021 American Institute of Mathematical Sciences (AIMS)

  • Driving pattern profiling and classification using deep learning
    Meenakshi Malik, Rainu Nandal, Surjeet Dalal, Vivek Jalglan, and Dac-Nhuong Le

    Intelligent Automation and Soft Computing, ISSN: 10798587, eISSN: 2326005X, Pages: 887-906, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • MMAS Algorithm and Nash Equilibrium to Solve Multi-round Procurement Problem
    Dac-Nhuong Le, Gia Nhu Nguyen, Trinh Ngoc Bao, Nguyen Ngoc Tuan, Huynh Quyet Thang, and Suresh Chandra Satapathy

    Lecture Notes in Electrical Engineering, ISSN: 18761100, eISSN: 18761119, Volume: 708, Pages: 273-284, Published: 2021 Springer Singapore

  • The red colobuses monkey: A new nature–inspired metaheuristic optimization algorithm
    Wijdan Jaber AL-kubaisy, Mohammed Yousif, Belal Al-Khateeb, Maha Mahmood, and Dac-Nhuong Le

    International Journal of Computational Intelligence Systems, ISSN: 18756891, eISSN: 18756883, Pages: 1108-1118, Published: 2021 Atlantis Press
    The presented study suggests a new nature–inspired metaheuristic optimization algorithm referred to as Red Colobuses Monkey (RCM) that can be used for optimization problems; this algorithm mimics the behavior related to red monkeys in nature. In preparation for proving the suggested algorithm’s advantages, a set of standard unconstrained and constrained test functions is employed, sixty–four of identified test functions utilized in optimization were applied as benchmarks for checking the RCM performance. The solutions have also been upgrading their positions based on the optimal solution, which was reached thus far. Also, RCM can replace the worst red monkey by the best child found so far to give an extra enhancement to the solutions. Also, comparative performance checks with Biogeography–Based Optimizer (BBO), Artificial–Bee–Colony (ABC), Particle Swarm Optimization (PSO), and Gravitational Search Algorithm (GSA) were done. The acquired results showed that RCM is competitive in comparison to the chosen metaheuristic algorithms.

  • Design and development of collaborative ar system for anatomy training
    Chung Le Van, Trinh Hiep Hoa, Nguyen Minh Duc, Vikram Puri, Tung Sanh Nguyen, and Dac-Nhuong Le

    Intelligent Automation and Soft Computing, ISSN: 10798587, eISSN: 2326005X, Pages: 853-871, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • Pts-papr reduction technique for 5g advanced waveforms using bfo algorithm
    Arun Kumar, Manoj Gupta, Dac-Nhuong Le, and Ayman A. Aly

    Intelligent Automation and Soft Computing, ISSN: 10798587, eISSN: 2326005X, Pages: 713-722, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in Chest X-ray Images
    A. S. Al-Waisy, Mazin Abed Mohammed, Shumoos Al-Fahdawi, M. S. Maashi, Begonya Garcia-Zapirain, Karrar Hameed Abdulkareem, S. A. Mostafa, Nallapaneni Manoj Kumar, and Dac-Nhuong Le

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 2409-2429, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • Securing technique using pattern-based LSB audio steganography and intensity-based visual cryptography
    Pranati Rakshit, Sreeparna Ganguly, Souvik Pal, and Dac-Nhuong Le

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 1207-1224, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • Secure cloud data storage system using hybrid paillier⇓blowfish algorithm
    Bijeta Seth, Surjeet Dalal, Dac-Nhuong Le, Vivek Jaglan, Neeraj Dahiya, Akshat Agrawal, Mayank Mohan Sharma, Deo Prakash, and K. D. Verma

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 779-798, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • A comprehensive investigation of machine learning feature extraction and classification methods for automated diagnosis of COVID-19 based on X-ray images
    Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Begonya Garcia-Zapirain, Salama A. Mostafa, Mashael S. Maashi, Alaa S. Al-Waisy, Mohammed Ahmed Subhi, Ammar Awad Mutlag, and Dac-Nhuong Le

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 3289-3310, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification
    Dac-Nhuong Le, Velmurugan Subbiah Parvathy, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues, and K. Shankar

    International Journal of Machine Learning and Cybernetics, ISSN: 18688071, eISSN: 1868808X, Published: 2021 Springer Science and Business Media LLC
    At present times, the drastic advancements in the 5G cellular and internet of things (IoT) technologies find useful in different applications of the healthcare sector. At the same time, COVID-19 is commonly spread from animals to persons, but today it is transmitting among persons by adapting the structure. It is a severe virus and inappropriately resulted in a global pandemic. Radiologists utilize X-ray or computed tomography (CT) images to diagnose COVID-19 disease. It is essential to identify and classify the disease through the use of image processing techniques. So, a new intelligent disease diagnosis model is in need to identify the COVID-19. In this view, this paper presents a novel IoT enabled Depthwise separable convolution neural network (DWS-CNN) with Deep support vector machine (DSVM) for COVID-19 diagnosis and classification. The proposed DWS-CNN model aims to detect both binary and multiple classes of COVID-19 by incorporating a set of processes namely data acquisition, Gaussian filtering (GF) based preprocessing, feature extraction, and classification. Initially, patient data will be collected in the data acquisition stage using IoT devices and sent to the cloud server. Besides, the GF technique is applied to remove the existence of noise that exists in the image. Then, the DWS-CNN model is employed for replacing default convolution for automatic feature extraction. Finally, the DSVM model is applied to determine the binary and multiple class labels of COVID-19. The diagnostic outcome of the DWS-CNN model is tested against Chest X-ray (CXR) image dataset and the results are investigated interms of distinct performance measures. The experimental results ensured the superior results of the DWS-CNN model by attaining maximum classification performance with the accuracy of 98.54% and 99.06% on binary and multiclass respectively.

  • Synchronization phenomena investigation of a new nonlinear dynamical system 4D by gardano’s and lyapunov’s methods
    Abdulsattar Abdullah Hamad, Ahmed S. Al-Obeidi, Enas H. Al-Taiy, Osamah Ibrahim Khalaf, and Dac-Nhuong Le

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 3311-3327, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • Deep learning based optimal multimodal fusion framework for intrusion detection systems for healthcare data
    Phong Thanh Nguyen, Vy Dang Bich Huynh, Khoa Dang Vo, Phuong Thanh Phan, Mohamed Elhoseny, and Dac-Nhuong Le

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 2556-2571, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • Memetic optimization with cryptographic encryption for secure medical data transmission in iot-based distributed systems
    Srinath Doss, Jothi Paranthaman, Suseendran Gopalakrishnan, Akila Duraisamy, Souvik Pal, Balaganesh Duraisamy, Chung Le Van, *, and Dac-Nhuong Le

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 1577-1594, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • Detecting lumbar implant and diagnosing scoliosis from vietnamese x-ray imaging using the pre-trained api models and transfer learning
    Chung Le Van, Le Nguyen Bao, Vikram Puri, Nguyen Thanh Thao, and Dac-Nhuong Le

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 17-33, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • Optimizing bidders selection of multi-round procurement problem in software project management using parallel max-min ant system algorithm
    Dac-Nhuong Le, Gia Nhu Nguyen, Harish Garg, Quyet-Thang Huynh, Trinh Ngoc Bao, and Nguyen Ngoc Tuan

    Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 993-1010, Published: 2021 Computers, Materials and Continua (Tech Science Press)

  • An effective RGB color selection for complex 3D object structure in scene graph systems
    Chung Le Van, Gia Nhu Nguyen, Tri Huu Nguyen, Tung Sanh Nguyen, and Dac-Nhuong Le

    International Journal of Electrical and Computer Engineering, ISSN: 20888708, Pages: 5951-5964, Published: December 2020 Institute of Advanced Engineering and Science
    The goal of this project is to develop a complete, fully detailed 3D interactive model of the human body and systems in the human body, and allow the user to interacts in 3D with all the elements of that system, to teach students about human anatomy. Some organs, which contain a lot of details about a particular anatomy, need to be accurately and fully described in minute detail, such as the brain, lungs, liver and heart. These organs are need have all the detailed descriptions of the medical information needed to learn how to do surgery on them, and should allow the user to add careful and precise marking to indicate the operative landmarks on the surgery location. Adding so many different items of information is challenging when the area to which the information needs to be attached is very detailed and overlaps with all kinds of other medical information related to the area. Existing methods to tag areas was not allowing us sufficient locations to attach the information to. Our solution combines a variety of tagging methods, which use the marking method by selecting the RGB color area that is drawn in the texture, on the complex 3D object structure. Then, it relies on those RGB color codes to tag IDs and create relational tables that store the related information about the specific areas of the anatomy. With this method of marking, it is possible to use the entire set of color values (R, G, B) to identify a set of anatomic regions, and this also makes it possible to define multiple overlapping regions.

RECENT SCHOLAR PUBLICATIONS

  • Adaptive Traffic Routing Practice for Load Balance and Congestion Control in AdHoc Network in Cloud-MANET
    S Dalal, N Dahiya, B Seth, V Jaglan, M Malik, S Surbhi, U Rani, DN Le, ...
    2022

  • Data Optimization in IoT-Assisted Sensor Networks on Cloud Platform
    G Suseendran, D Akila, S Pal, B Sarkar, AA Aly, DN Le
    2022

  • W-GeoR: Weighted Geographical Routing for VANET’s Health Monitoring Applications in Urban Traffic Networks
    P Singh, RS Raw, SA Khan, MA Mohammed, AA Aly, DN Le
    IEEE Access 10, 1-16 2022

  • A comprehensive study on the role of advanced technologies in 5G based smart hospital
    A Kumar, R Dhanagopal, MA Albreem, DN Le
    Alexandria Engineering Journal 60 (6), 5527-5536 2021

  • Capitalizing on big data and revolutionary 5G technology: extracting and visualizing ratings and reviews of global chain hotels
    L Gaur, A Afaq, A Solanki, G Singh, S Sharma, NZ Jhanjhi, HT My, DN Le
    Computers & Electrical Engineering 95, 107374 2021

  • Integrated intelligence of neuro-evolution with sequential quadratic programming for second-order Lane–Emden pantograph models
    Z Sabir, MAZ Raja, HA Wahab, GC Altamirano, YD Zhang, DN Le
    Mathematics and Computers in Simulation 188, 87-101 2021

  • IoT Technology Enabled Heuristic Model with Morlet wavelet neural network for numerical treatment of Heterogeneous Mosquito Release Ecosystem
    Z Sabir, K Nisar, MAZ Raja, MR Haque, M Umar, AAA Ibrahim, DN Le
    IEEE Access 2021

  • Nanoscale heat and mass transport of magnetized 3-D chemically radiative hybrid nanofluid with orthogonal/inclined magnetic field along rotating sheet
    A Ayub, Z Sabir, DN Le, AA Aly
    Case Studies in Thermal Engineering 26, 101193 2021

  • 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, 1-14 2021

  • MMAS Algorithm and Nash Equilibrium to Solve Multi-round Procurement Problem
    DN Le, GN Nguyen, TN Bao, NN Tuan, HQ Thang, SC Satapathy
    Advances in Systems, Control and Automations: Select Proceedings of ETAEERE 2021

  • Computational intelligent paradigms to solve the nonlinear SIR system for spreading infection and treatment using Levenberg–Marquardt backpropagation
    M Umar, Z Sabir, MA Zahoor Raja, M Gupta, DN Le, AA Aly, ...
    Symmetry 13 (4), 618 2021

  • The Red Colobuses Monkey: A New Nature–Inspired Metaheuristic Optimization Algorithm
    WJ AL-kubaisy, M Yousif, B Al-Khateeb, M Mahmood, DN Le
    International Journal of Computational Intelligence Systems 14 (1), 1108-1118 2021

  • 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

  • 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

  • The Impact of the COVID-19 Pandemic on College Students: An Online Survey
    TK Tran, H Dinh, H Nguyen, DN Le, DK Nguyen, AC Tran, ...
    Sustainability 13 (19), 10762 2021

  • Neuro-Swarm heuristic using interior-point algorithm to solve a third kind of multi-singular nonlinear system
    Z Sabir, MAZ Raja, A Kamal, JLG Guirao, DN Le, T Saeed, M Salama
    Mathematical Biosciences and Engineering 18 (5), 5285-5308 2021

  • Driving Pattern Profiling and Classification Using Deep Learning
    M Malik, R Nandal, S Dalal, V Jalglan, DN Le
    INTELLIGENT AUTOMATION AND SOFT COMPUTING 28 (3), 887-906 2021

  • Rock Hyraxes Swarm Optimization: A New Nature-Inspired Metaheuristic Optimization Algorithm
    B Al-Khateeb, K Ahmed, M Mahmood, DN Le
    CMC-COMPUTERS MATERIALS & CONTINUA 68 (1), 643-654 2021

  • Design and Development of Collaborative AR System for Anatomy Training
    C Le Van, TH Hoa, NM Duc, V Puri, TS Nguyen, DN Le
    INTELLIGENT AUTOMATION AND SOFT COMPUTING 27 (3), 853-871 2021

  • PTS-PAPR Reduction Technique for 5G Advanced Waveforms Using BFO Algorithm
    A Kumar, M Gupta, DN Le, AA Aly
    INTELLIGENT AUTOMATION AND SOFT COMPUTING 27 (3), 713-722 2021

MOST CITED SCHOLAR PUBLICATIONS

  • 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: 101

  • 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: 72

  • 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: 69

  • 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: 61

  • Advances in swarm intelligence for optimizing problems in computer science
    A Nayyar, DN Le, NG Nguyen
    CRC Press 2018
    Citations: 59

  • 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: 59

  • BioSenHealth 1.0: a novel internet of medical things (IoMT)-based patient health monitoring system
    A Nayyar, V Puri, NG Nguyen
    International Conference on Innovative Computing and Communications, 155-164 2019
    Citations: 57

  • 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: 57

  • Recognition and site-selective transformation of monosaccharides by using copper (II) catalysis.
    IH Chen, KGM Kou, DN Le, CM Rathbun, VM Dong
    Chemistry (Weinheim an der Bergstrasse, Germany) 20 (17), 5013-5018 2014
    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: 52

  • Introduction to swarm intelligence
    A Nayyar, NG Nguyen
    Advances in swarm intelligence for optimizing problems in computer science 2018
    Citations: 42

  • 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: 42

  • 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, 787-795 2018
    Citations: 38

  • Evolutionary computation: theory and algorithms
    A Nayyar, S Garg, D Gupta, A Khanna
    Advances in swarm intelligence for optimizing problems in computer science, 1-26 2018
    Citations: 37

  • 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: 36

  • Smart-building management system: An Internet-of-Things (IoT) application business model in Vietnam
    DN Le, L Le Tuan, MND Tuan
    Technological Forecasting and Social Change 141, 22-35 2019
    Citations: 36

  • Cloud computing and virtualization
    DN Le, R Kumar, GN Nguyen, JM Chatterjee
    John Wiley & Sons 2018
    Citations: 36

  • A survey of web service discovery systems
    DN Le, AES Goh
    International Journal of Information Technology and Web Engineering (IJITWE 2007
    Citations: 33

  • A 150-MHz graphics rendering processor with 256-Mb embedded DRAM
    AK Khan, H Magoshi, T Matsumoto, J Fujita, M Furuhashi, M Imai, ...
    IEEE Journal of Solid-State Circuits 36 (11), 1775-1784 2001
    Citations: 33

  • Evolutionary framework for coding area selection from cancer data
    S Kamal, N Dey, SF Nimmy, SH Ripon, NY Ali, AS Ashour, WBA Karaa, ...
    Neural Computing and Applications 29 (4), 1015-1037 2018
    Citations: 31