Dac-Nhuong Le

Verified email at hus.edu.vn

Faculty of Information Technology
Haiphong University, Haiphong, Vietnam



                                                                 

http://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
68

Scopus Publications

1685

Scholar Citations

23

Scholar h-index

53

Scholar i10-index

Scopus Publications

  • 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)

  • 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)

  • 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)

  • 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)

  • 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)

  • 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)

  • 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.

  • 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)

  • 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)

  • 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)

  • 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)

  • 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)

  • 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.

  • Global Forecasting Confirmed and Fatal Cases of COVID-19 Outbreak Using Autoregressive Integrated Moving Average Model
    Debabrata Dansana, Raghvendra Kumar, Janmejoy Das Adhikari, Mans Mohapatra, Rohit Sharma, Ishaani Priyadarshini, and Dac-Nhuong Le

    Frontiers in Public Health, eISSN: 22962565, Published: 29 October 2020 Frontiers Media SA
    The world health organization (WHO) formally proclaimed the novel coronavirus, called COVID-19, a worldwide pandemic on March 11 2020. In December 2019, COVID-19 was first identified in Wuhan city, China, and now coronavirus has spread across various nations infecting more than 198 countries. As the cities around China started getting contaminated, the number of cases increased exponentially. As of March 18 2020, the number of confirmed cases worldwide was more than 250,000, and Asia alone had more than 81,000 cases. The proposed model uses time series analysis to forecast the outbreak of COVID-19 around the world in the upcoming days by using an autoregressive integrated moving average (ARIMA). We analyze data from February 1 2020 to April 1 2020. The result shows that 120,000 confirmed fatal cases are forecasted using ARIMA by April 1 2020. Moreover, we have also evaluated the total confirmed cases, the total fatal cases, autocorrelation function, and white noise time-series for both confirmed cases and fatalities in the COVID-19 outbreak.

  • Map matching algorithm: Real time location tracking for smart security application
    S. K. Prasad, J. Rachna, O. I. Khalaf, and D.-N. Le

    Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika), ISSN: 00402508, eISSN: 19436009, Pages: 1189-1203, Published: 2020 Begell House

  • Efficient Dual-Cooperative Bait Detection Scheme for Collaborative Attackers on Mobile Ad-hoc Networks
    Osamah Ibrahim Khalaf, F. Ajesh, Abdulsattar Abdullah Hamad, Gia Nhu Nguyen, and Dac-Nhuong Le

    IEEE Access, eISSN: 21693536, Published: 2020 Institute of Electrical and Electronics Engineers (IEEE)
    Security and correspondence happening between network central point will be an instance for principal issues in Mobile Ad-hoc Networks (MANETs). Due to some ideas created by the organization leading to avoid attacks but may end in failure due to inappropriate way and thus attacks need recognized and cleared. The Dual-Cooperative Bait Detection Scheme (D-CBDS) is one of the ways that is in the stake for the discovery of MANET-dark/dim opening assailants. The current CBDS calculation consolidates the intensity of proactive and responsive security advancements to characterize lure mode assailants as proactive and receptive engineering. In CBDS, an adjacent source node is randomly selected as a bait target for searching. By reverse tracking as a reactive method, the attackers are identified. However, in some time, the chosen bait destination node may be an intruder that is not handled in the current CBDS approach. This paper therefore reinforces the CBDS with the dual mode of selecting two nearby nodes as two bait destinations. Dual reverse tracking enables effective collaborative assailants in MANET. Finally, when we analyze D-CBDS with respect to Routing overhead, End-End delay and throughput it gives much productivity than other methods like DSR, CBDS.

  • A novel particle swarm optimization approach to support decision-making in the multi-round of an auction by game theory
    Trinh Ngoc Bao, Quyet-Thang Huynh, Xuan-Thang Nguyen, Gia Nhu Nguyen, and Dac-Nhuong Le

    International Journal of Computational Intelligence Systems, ISSN: 18756891, eISSN: 18756883, Pages: 1447-1463, Published: 2020 Atlantis Press
    Hanoi University, Hanoi 100000, Vietnam Hanoi University of Science and Technology, Hanoi 100000, Vietnam Graduate School, Duy Tan University, Da Nang 550000, Vietnam Faculty of Information Technology, Duy Tan University, Da Nang 550000, Vietnam Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam Faculty of Information Technology, Haiphong University, Haiphong 180000, Vietnam

  • Preface
    Advances in Intelligent Systems and Computing, ISSN: 21945357, eISSN: 21945365, Volume: 1013, Pages: ix-x, Published: 2020

  • Open Stack: Resources Allocation for Distributed Virtual Machine Peer to Peer
    Hong Minh Nguyen, Thang Van Doan, Dac-Nhuong Le, Ha Huy Cuong Nguyen, and Xuan Huy Nguyen

    Advances in Intelligent Systems and Computing, ISSN: 21945357, eISSN: 21945365, Volume: 1013, Pages: 341-349, Published: 2020 Springer Singapore
    Virtual servers (VS) are built on a group of physical machine (PM) servers scattered across the globe and interconnected through telecommunication systems. It can be said that today data center is the very important role in the era of industrial revolution 4.0. Some countries that want to promote smart agricultural production rely on information technology infrastructure. The integral part of the IoT component is the network infrastructure and cloud computing. In this article, we talk about the ability to exploit virtual resources. The goal of this new technical solution is to make using computer resources more efficient and cost-effective, such as reducing energy costs. Especially, farmers like to use high technology in their farms, but the cost of renting a virtual server from data center is very high. In this paper, we use the Open Stack tool, which incorporates a proposed algorithm to ensure that these resources are provided accurately and in a timely manner, detecting any duplication or conflict, especially resources allocation to remote users. We found a way to create efficiently distributed resources, emphasize solutions to prevent deadlock, and propose methods to avoid resource shortages.

  • GUI-Based Percentage Analysis for Curing Breast Cancer Survivors
    Deblina Sarkhel, Dhanashree Deka, Debabrata Samanta, M. V. Kumudavalli, and Dac-Nhuong Le

    Advances in Intelligent Systems and Computing, ISSN: 21945357, eISSN: 21945365, Volume: 1013, Pages: 319-327, Published: 2020 Springer Singapore
    The modeling approach is increasing the intensity of research in all the domains. The present paper deals with predictive modeling and probabilities. Data analysis is a technique used to transform, reconstruct, and revise some information that is an essential step to achieve the goal or the end result. The present study involves the usage of logistic regression technique for data analysis. Various domain-specific methods pertaining to science, business, etc., are available for data analysis which plays a key role in decision-making and model building. The significance of this analysis is to get the percentage of the survival of patients with advanced breast cancer.

  • Preface
    Advances in Intelligent Systems and Computing, ISSN: 21945357, eISSN: 21945365, Volume: 1014, Pages: ix-x, Published: 2020

  • 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, ISSN: 21615748, eISSN: 21613915, Published: 2020 Wiley

  • Network Modeling, Simulation and Analysis in MATLAB: Theory and Practices
    Dac‐Nhuong Le, Abhishek Kumar Pandey, Sairam Tadepalli, Pramod Singh Rathore, and Jyotir Moy Chatterjee

    Network Modeling, Simulation and Analysis in MATLAB: Theory and Practices, Pages: 1-338, Published: 16 August 2019 Wiley

  • The role of information-centric security in the modern arena of information technology
    Sushree Bibhuprada, Dac‐Nhuong Le, and B. Priyadarshini

    Security Designs for the Cloud, IoT, and Social Networking, Pages: 167-177, Published: 1 January 2019 Wiley

RECENT SCHOLAR PUBLICATIONS

  • 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

  • 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 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 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

  • 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

  • Secure Cloud Data Storage System Using Hybrid Paillier-Blowfish Algorithm
    B Seth, S Dalal, DN Le, V Jaglan, N Dahiya, A Agrawal, MM Sharma, ...
    CMC-COMPUTERS MATERIALS & CONTINUA 67 (1), 779-798 2021

  • Securing Technique Using Pattern-Based LSB Audio Steganography and Intensity-Based Visual Cryptography
    P Rakshit, S Ganguly, S Pal, AA Aly, DN Le
    CMC-COMPUTERS MATERIALS & CONTINUA 67 (1), 1207-1224 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) 2021

  • Deep Learning Based Optimal Multimodal Fusion Framework for Intrusion Detection Systems for Healthcare Data
    PT Nguyen, VDB Huynh, KD Vo, PT Phan, M Elhoseny, DN Le
    CMC-COMPUTERS MATERIALS & CONTINUA 66 (3), 2555-2571 2021

  • Memetic Optimization with Cryptographic Encryption for Secure Medical Data Transmission in IoT-Based Distributed Systems
    S Doss, J Paranthaman, S Gopalakrishnan, A Duraisamy, S Pal, ...
    CMC-COMPUTERS MATERIALS & CONTINUA 66 (2), 1577-1594 2021

  • Detecting lumbar implant and diagnosing scoliosis from vietnamese X-ray imaging using the pre-trained api models and transfer learning
    C Le Van, Le Nguyen Bao, V Puri, NT Thao, DN Le
    CMC-COMPUTERS MATERIALS & CONTINUA 66 (1), 17-33 2021

  • Optimizing Bidders Selection of Multi-Round Procurement Problem in Software Project Management Using Parallel Max-Min Ant System Algorithm
    DN Le, GN Nguyen, H Garg, QT Huynh, TN Bao, NN Tuan
    CMC-COMPUTERS MATERIALS & CONTINUA 66 (1), 993-1010 2021

  • 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 2020

  • Machine Learning for Healthcare: Handling and Managing Data
    R Agrawal, JM Chatterjee, A Kumar, PS Rathore, DN Le
    CRC Press 2020

  • An effective RGB color selection for complex 3D object structure in scene graph systems
    CL Van, GN Nguyen, TH Nguyen, TS Nguyen, DN Le
    International Journal of Electrical and Computer Engineering 10 (6), 5951-5964 2020

  • MACHINE LEARNING ENRICHED PLUG IN AND PLAY BOOK ONTOLOGY APP FOR ONLINE E-STORES
    RS A., V Balasubramaniam, M Janarthanan, D Midhunchakkaravarthy, ...
    AP Patent 2,020,102,542 2020

  • 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, e4108 2020

  • A Novel Particle Swarm Optimization Approach to Support Decision-Making in the Multi-Round of an Auction by Game Theory
    TN Bao, QT Huynh, XT Nguyen, GN Nguyen, DN Le
    International Journal of Computational Intelligence Systems 13 (1), 1447-1463 2020

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: 90

  • 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: 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: 55

  • 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: 52

  • 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: 51

  • 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: 51

  • 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: 49

  • 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: 49

  • Advances in swarm intelligence for optimizing problems in computer science
    A Nayyar, DN Le, NG Nguyen
    CRC Press 2018
    Citations: 40

  • A performance analysis of openstack open-source solution for IaaS cloud computing
    VN Van, NQ Long, GN Nguyen, DN Le
    Proceedings of the Second International Conference on Computer and 2016
    Citations: 38

  • Haralick features-based classification of mammograms using SVM
    V Bhateja, A Gautam, A Tiwari, SC Satapathy, NG Nhu, DN Le
    Information Systems Design and Intelligent Applications, 787-795 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: 35

  • 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

  • Improved shape parameter estimation in K clutter with neural networks and deep learning
    JRF Machado, JCB Vidal
    IJIMAI 3 (7), 96-103 2016
    Citations: 30

  • Cloud computing and virtualization
    DN Le, R Kumar, GN Nguyen, JM Chatterjee
    John Wiley & Sons 2018
    Citations: 28

  • Introduction to swarm intelligence
    A Nayyar, NG Nguyen
    Advances in swarm intelligence for optimizing problems in computer science 2018
    Citations: 26

  • Optimizing Feature Selection in Video-based Recognition using Max-Min Ant System for the Online Video Contextual Advertisement User-Oriented System
    DNL Le Nguyen Bao, GN Nguyen, V Bhateja, SC Satapathy
    Journal of Computational Science, Elsevier ISSN 7503, 361-370 1877
    Citations: 26

  • Dac Nhuong Le, Smart Surveillance Robot for the Real Time Monitoring and Control System in Environment and Industrial Applications, Advances in Intelligent System and Computing
    A Nayyar, V Puri, NG Nguyen
    Springer
    Citations: 26

  • 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: 25