Articles: Recent submissions

  • 3-Substituted Coumarins Inhibit NorA and MepA Efflux Pumps of Staphylococcus aureus 
    Araújo-Neto, José B. de; Oliveira-Tintino, Cícera D. de M.; Araújo, Gildênia A. de; Alves, Daniel S.; Ribeiro, Fernanda R.; Brancaglion, Guilherme A.; Carvalho, Diogo T.; Lima, Clara Mariana Gonçalves; Ali, Hani S. H. Mohammed; Rather, Irfan A.; Wani, Mohmmad Y.; Emran, Talha B.; Coutinho, Henrique D. M.; Balbino, Valdir de Q.; Tintino, Saulo R. (MDPI, 2023-12-15)
    Different treatment strategies have been explored in a quest to improve the properties of recycled aggregate concrete (RAC). The improvement strategies are directed towards the removal of residual layers of old mortar on ...
  • Legal and Social Consequences of Substance Use 
    Hawlader, Mohammad Delwer Hossain; Nabi, Mohammad Hayatun; Hussain, Amir; Amin, Saad Ullah Al; Zaman, Sanjana; Masud, Iqbal (Taylor & Francis Group, 2020-12-20)
    Substance use is a major public health concern and its consequences can destroy someone’s life. This study aimed to explore the legal and social consequences of substance use in Bangladesh. We conducted a nationwide ...
  • Promoting Student-Centred Blended Learning in Higher Education: A Model 
    Islam, Md. Kabirul; Sarker, Md. Fouad Hossain; Islam, M. Saiful (SaGE, 2022-01-01)
    This empirical study is conducted in a blended learning setting of a technology-focused private university in Bangladesh to offer a model that could help attain a comprehensive goal of blended learning. The main objectives ...
  • A Survey on Predicting Player’s Performance and Team Recommendation in Game of Cricket Using Machine Learning 
    Biswas, Milon; Akhund, Tajim Md. Niamat Ullah; Mahbub, Md. Kawsher; Islam, Sikder Md. Saiful; Sorna, Sadia; Kaiser, M. Shamim (Springer, 2022-05-20)
    Machine learning in sports analytics is a hot field in computer science. Using machine learning algorithms, we can predict the outcome of a game or performance of teams or individual players and building new strategies for ...
  • A Deep Learning Approach for Dengue Fever Prediction in Malaysia Using LSTM with Spatial Attention 
    Majeed, Mokhalad A.; Shafri, Helmi Zulhaidi Mohd; Zulkafli, Zed; Wayayok, Aimrun (MDPI, 2022-02-25)
    Dengue is a very common disease typically found in a widespread hot region. It is a deadly disease caused by female Aedes mosquitoes. Patients who have diagnosed with different types of dengue needed different types of ...
  • Mitigating the Latency Induced Delay in IP Telephony Through an Enhanced De-Jitter Buffer 
    Karim, Asif; Ahmed, Eshtiak; Azam, Sami; Ghosh, Pronab (Springer, 2022-07-21)
    IP telephony or voice over IP (VoIP) at present is promising a shining future for voice services. There are several technical aspects which make the technology attractive; on the other hand, few technical loopholes and ...
  • Bast Fiber Reinforced Green Polymer Composites 
    Faruque, Md Abdullah Al; Salauddin, Md.; Raihan, Md Mashud; Chowdhury, Ishmam Zahin; Ahmed, Faisal; Shimo, Salima Sultana (Taylor & Francis Group, 2022-08-20)
    Due to the increased public awareness in ensuring a sustainable and long-lasting world, both academic and industrial researchers are trying to use eco-friendly and biodegradable materials in every sphere of life. Petroleum-based ...
  • An Optimized CNN Model Architecture for Detecting Coronavirus (COVID-19) with X-Ray Images 
    Basalamah, Anas; Rahman, Shadikur (Springer, 2022-04-15)
    This paper demonstrates empirical research on using convolutional neural networks (CNN) of deep learning techniques to classify X-rays of COVID-19 patients versus normal patients by feature extraction. Feature extraction ...
  • Effectiveness Analysis of Different POS Tagging Techniques for Bangla Language 
    Jahara, Fatima; Barua, Adrita; Iqbal, MD. Asif; Das, Avishek; Sharif, Omar; Hoque, Mohammed Moshiul; Sarker, Iqbal H. (Springer, 2022-01-01)
    Parts-of-speech (POS) tagging plays an important role in the field of natural language processing (NLP), such as—retrieval of information, machine translation, spelling check, language processing, sentiment analysis, and ...
  • DRLAS: Digital Record Keeping in Land Administration System Relying on Blockchain 
    Biswas, Milon; Akhund, Tajim Md. Niamat Ullah; Kaiser, M. Shamim (Springer, 2021-09-10)
    On every developed or developing world, the Land Administration System (LAS) is a salient infrastructure. Both the digital (traditional database system) and the manual methods are applied in the LAS (paper-based documentations). ...
  • Multi-Analyte Detection Based on Integrated Internal and External Sensing Approach 
    Haider, Firoz; Mashrafi, Md.; Aoni, Rifat Ahmmed; Haider, Rakib; Hossen, Moqbull; Ahmed, Tanvir; Mahdiraji, Ghafour Amouzad; Ahmed, Rajib (IEEE, 2021-08-31)
    Action recognition is one of the most important fields in computer vision. Hence, there is an open question of the high accuracy of complex background of human activities. A deep learning approach has recently been used ...
  • Post-Fire Residual Capacity of Reinforced Concrete Beam 
    Bhuiyan, M.H.; Ahmed, S. (ICACE, 2021-03-16)
    Incidents of fire are in increasing trend in developing countries. Exposure to fire may lead to a decrease in load carrying capacity and stiffness of a reinforced concrete (RC) structure. The degree of damage is related ...
  • Do Women on Boards Affect Employee Benefits? Evidence From the Global Microfinance Industry 
    Mia, Md Aslam (Elsevier, 2021-12-07)
    By utilizing data of 2,964 microfinance institutions (MFIs), our study investigated the nexus between female board members and employee benefits. The findings showed that a higher proportion of female board members has a ...
  • Exploring Factors Associated With Women’s Willingness To Provide Digital Fingerprints in Accessing Healthcare Services 
    Mistry, Sabuj Kanti; Akter, Fahmida; Hossain, Md. Belal; Huda, Md. Nazmul; Irfan, Nafis Md.; Yadav, Uday Narayan; Storisteanu, Daniel M. L.; Arora, Amit (MDPI, 2021-12-21)
    Digital fingerprints are increasingly used for patient care and treatment delivery, health system monitoring and evaluation, and maintaining data integrity during health research. Yet, no evidence exists about the use ...
  • Role of Phenolic Compounds in Human Disease 
    Rahman, Md. Mominur; Rahaman, Md. Saidur; Islam, Md. Rezaul; Rahman, Firoza; Mithi, Faria Mannan; Alqahtani, Taha; Almikhlafi, Mohannad A.; Alghamdi, Samia Qasem; Alruwaili, Abdullah S.; Hossain, Md. Sohel; Ahmed, Muniruddin; Das, Rajib; Emran, Talha Bin; Uddin, Md. Sahab (MDPI, 2021-12-30)
    Inflammation is a natural protective mechanism that occurs when the body’s tissue homeostatic mechanisms are disrupted by biotic, physical, or chemical agents. The immune response generates pro-inflammatory mediators, but ...
  • ScarNet: Development and Validation of a Novel Deep CNN Model for Acne Scar Classification with a New Dataset 
    Junaye, Masum Shah; Islam, MD Baharul; Jeny, Afsana Ahsan; Sadeghzadeh, Arezoo; Biswas, Topu; Shah, A. F. M. Shahen (IEEE, 2022-01-01)
    Acne scarring occurs in 95% of people with acne vulgaris due to collagen loss or gains when the body is healing the damages of the skin caused by acne inflammation. Accurate classification of acne scars is a vital factor ...
  • Trends in Complementary Feeding Indicators and Intake from Specific Food Groups among Children Aged 6–23 Months in Bangladesh 
    Mistry, Sabuj Kanti; Hossain, Md Belal; Irfan, Nafis Md; Saha, Manika; Saberin, Silvia; Shamim, Abu Ahmed; Arora, Amit (MDPI, 2022-01-01)
    The present study aims to comprehensively analyse trends in complementary feeding indicators (Introduction of solid, semi-solid, and soft foods at 6-8 months (INTRO), Minimum Dietary Diversity (MDD), Minimum Meal Frequency ...
  • Broca’s Area of Brain to Analyze the Language Impairment Problem and Behavior Analysis of Autism 
    Islam, Md Ashiqul; Karim, Rafat; Ahmed, Faruq; Maksuda; Hossen, Md Sagar; Akter, Shamima (Springer, 2022-01-01)
    The brain is a tremendous three-pound organ that controls all functions of the body, interprets data from the surface world. The human brain may be a hub for specific primary tasks. When our brain does not work properly ...
  • Real-Time Data Visualization Using Business Intelligence Techniques in Small and Medium Enterprises for Making a Faster Decision on Sales Data 
    Shubho, Owes Quruny; Tumpa, Zerin Nasrin; Dipto, Walid Ibna Rakib; Alam, Md Rasel (Springer, 2022-01-15)
    In the recent world, making the proper decisions in business is challenging and complicated, especially on sales data. Sales are the most valuable part of a business. Only the sales report of a business is not enough for ...
  • Computational Intelligence Approaches for Prediction of Chronic Kidney Disease 
    Ahmed, Md. Razu; Ali, Md. Asraf; Ahmed, Nasim; Bhuiyan, Touhid (Springer, 2022-01-01)
    Over the past few decades, it has been observed that there is a growing interest in the area of intelligence systems, such as Machine Learning. Machine learning has been extensively used in order to support medical specialists ...

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