Articles: Recent submissions

  • Assessing Radioactivity in Soil in the Vicinity of Steel Production Industries 
    Siraz, M. M. Mahfuz; Alam, M. S.; Mahmud, Jubair Al; Rashid, Md. Bazlar; Hossain, Z.; Elrahim, Elrashed Abd; Osman, Hamid; Khandaker, Mayeen Uddin; Yeasmin, S. (Taylor & Francis Group, 2023-12-12)
    The steel production process results in the emission of naturally occurring radioactive and toxic heavy metals, which are inherent in the raw materials employed as the initial components. To assess the public exposure ...
  • Assessing Newborn Screening Practices in Bangladesh 
    Sumaia, Sayedatun Nesa; Reshad, Riyan Al Islam; Tabassum, Fawzia; Mim, Sabrina Khan; Mahmud, Mohammad Golam Rob; Faruque, Chowdhury Muhammad Omar; Biswas, Gokul Chandra; Miah, Md. Faruque (www.bsmiab.org, 2023-06-30)
    Newborn screening (NBS) plays a crucial role in identifying and managing congenital disorders, ultimately leading to improved infant health outcomes. This study aims to assess the current practices of newborn screening in ...
  • Assessing Lake Water Quality During COVID-19 Era Using Geospatial Techniques and Artificial Neural Network Model 
    Mohinuddin, S.K.; Sengupta, Soumita; Sarkar, Biplab; Saha, Ujwal Deep; Islam, Aznarul; Islam, Abu Reza Md Towfiqul; Hossain, Zakir Md; Mahammad, Sadik; Ahamed, Taushik; Mondal, Raju; Zhang, Wanchang; Basra, Aimun (Springer, 2023-04-24)
    The present study evaluates the impact of the COVID-19 lockdown on the water quality of a tropical lake (East Kolkata Wetland or EKW, India) along with seasonal change using Landsat 8 and 9 images of the Google Earth Engine ...
  • Artificial Intelligence-Based Fuzzy Logic Systems for Predicting Radiation Protection Awareness Levels among University Population 
    Hamd, Zuhal Y.; Almohammed, Huda I.; Lashin, Maha M.A.; Yousef, Mohamed; Aljuaid, Hanan; Khawaji, Sawsan M.; Alhussain, Norah I.; Salami, Alanoud H.; Alsowayan, Rand A.; Alshaik, Fatima A.; Alshehri, Tahani K.; Aldossari, Dalal M.; Albogami, Nouf F.; Khandaker, Mayeen Uddin (Elsevier, 2023-07-15)
    The present study aims to assess the knowledge level of radiation protection among individuals of Princess Nourah bint Abdulrahman University (PNU) using artificial intelligence baesd fuzzy logic system. This cross-sectional ...
  • Artificial Intelligence 2.0: Taking Organoid Intelligence a Step Ahead 
    Chopra, Hitesh; Munjal:, Kavita; Emran, Talha Bin (Elsevier, 2023-10-05)
    With qubits from a variety of developers now available for hiring on the cloud, quantum computing is making the leap from the lab to the market. IBM Quantum, DWave's Leap service, and Oxford Quantum Circuits' quantum ...
  • Artificial Intelligence (AI) Is Paving the Way for a Critical Role in Drug Discovery, Drug Design, and Studying Drug-Drug Interactions – Correspondence 
    Chakraborty, Sandip; Chopra, Hitesh; Akash, Shopnil; Chakraborty, Chiranjib; Dhama, Kuldeep (Wolters Kluwer Health, Inc., 2023-10-15)
    In the pharmaceutical sector, there has been a sudden acceleration in the digitalization of data over the past few years. This digitalization has come with challenges to acquire, scrutinize, and apply such particular ...
  • Artificial Neural Network-Based Land Use-Specific Carbon Patterns and Their Effects on Land Surface Temperature as a Result of the Rohingya Refugee Influx 
    Sarkar, Showmitra Kumar; Saroar, MD. Mustafa; Das, Palash Chandra; Chakraborty, Tanmoy; Rudra, Rhyme Rubayet; Alam, Edris; Islam, MD. Kamrul; Islam, Abu Reza Md. Towfiqul (IEEE, 2023-12-21)
    The objective of the research is to investigate how refugees’ influx has altered the carbon dynamics of different land uses and the relationship between land use specific carbon emissions and land surface temperature (LST). ...
  • Arsenic Speciation As Well as Toxic and Nutrient Elements in Pantavat (Overnight Steeped Rice) 
    Rahman, Mohammad Mahmudur; Rinklebe, Jorg; Naidu, Ravi (Elsevier, 2023-05-26)
    This study assessed the effect of soaking on the retention and removal of arsenic (As) along with other toxic elements and nutrients in three types of soaked rice or overnight steeped rice (pantavat), as this food dish was ...
  • Arsenic Removal From Aqueous Solution: A Comprehensive Synthesis with Meta-Data 
    Aktar, Sanjida; Mia, Shamim; Makino, Tomoyuki; Rahman, Mohammad Mahmudur; Rajapaksha, Anushka Upamali (Elsevier, 2023-03-01)
    Removal of arsenic from drinking water is one of the most important global concerns. Among the various techniques, adsorptive removal of arsenic is considered as a viable most effective method. However, limited attention ...
  • Approach of Different Classification Algorithms to Compare in N-gram Feature between Bangla Good and Bad Text Discourses 
    Bitto, Abu Kowshir; Bijoy, Md. Hasan Imam; Khan, Saima; Mahmud, Imran; Biplob, Khalid Been Badruzzaman (Springer, 2023-05-31)
    Bangla Natural Language Processing (BNLP) is a newish challenge in Artificial Intelligence. With the rapid expansion of the Bangla language, it is now adopted on a variety of platforms, including social media, communication ...
  • Applied Intelligence for Industry 4.0 
    Siddique, Nazmul; Arefin, Mohammad Shamsul; Kaiser, M Shamim; Kayes, ASM (Chapman & Hall, 2023-06-12)
    We are all aware that artificial intelligence (AI) has brought a change in our lives, driven by a new form of interaction between man and machine. We are in the era of the fourth Industrial Revolution (IR) where AI plays ...
  • Applied Artificial Intelligence: Acceptance-Intention-Purchase and Satisfaction on Smartwatch Usage in a Ghanaian Context 
    Uzir, Md Uzir Hossain; Bukari, Zakari; Halbusi, Hussam Al; Lim, Rodney; Wahab, Siti Norida; Rasul, Tareq; Thurasamy, Ramayah; Jerin, Ishraq; Chowdhury, M Rezaul Karim; Tarofder, Arun Kumar; Yaakop, Azizul Yadi; Hamid, Abu Bakar Abdul; Haque, Ahasanul; Rauf, Abdur; Eneizan, Bilal (Elsevier, 2023-07-26)
    Technology and its continuous advancement facilitate human beings to get rid of their criticality and limitation. Applied artificial intelligence (AAI) is one of the latest forms that delimited the limitation of human ...
  • Applied Weather Forecasting using Machine Learning Approach 
    Rahman, Md. Atikur; Rahman, M.A.; Nafiz Akbar, O.; Assaduzzaman, M. (Institute of Electrical and Electronics Engineers Inc., 2023-12-15)
    Weather plays an important role in our daily life. Every year, we face different types of weather conditions. So accurate weather prediction will be a great sign for us to live well. Now, the weather has an impact on the ...
  • Application of Optimal Subset Regression and Stacking Hybrid Models To Estimate COVID-19 Cases in Dhaka, Bangladesh 
    Md, Abu Reza; Islam, Towfiqul; Elbeltagi, Ahmed; Mallick, Javed; Fattah, Md. Abdul; Roy, Manos Chandro; Pal, Subodh Chandra; Shahjaman, Md.; Patwary, Masum A. (Springer, 2023-08-16)
    The COVID-19 outbreaks revealed a severe healthcare crisis with many loopholes in the global healthcare system. It is more crucial to quantify COVID-19 cases when COVID-19 occurs in humid to semi-humid climatic conditions. ...
  • Application of Novel Binary Optimized Machine Learning Models for Monthly Streamflow Prediction 
    Adnan, Rana Muhammad; Dai, Hong‑Liang; Mostafa, Reham R.; Islam, Abu Reza Md. Towfiqul; Kisi, Ozgur; Elbeltagi, Ahmed; Kermani, Mohammad Zounemat (Springer, 2023-04-08)
    Accurate measurements of available water resources play a key role in achieving a sustainable environment of a society. Precise river flow estimation is an essential task for optimal use of hydropower generation, flood ...
  • Application and Criminalization of the Artificial Intelligence in Business: Recommendation To Counter the Regulatory Challenges 
    Mahmud, Arif (Taylor & Francis Group, 2022-05-27)
    Artificial Intelligence (AI) is playing a significant role in our social and daily life for technological development. The efficient integration of AI into business organizations or firms is improving performance and ...
  • Application and Criminalization of the Artificial Intelligence in Business 
    Mahmud, Arif (Taylor & Francis Group, 2022-05-27)
    Artificial Intelligence (AI) is playing a significant role in our social and daily life for technological development. The efficient integration of AI into business organizations or firms is improving performance and ...
  • Anxiety and Stress Related to COVID-19 Among the Community Dwelling Older Adults Residing in the Largest Refugee Camp of the World 
    Anwar, Afsana; Yadav, Uday Narayan; Huda, Md. Nazmul; Das, Sukanta; Rosenbaum, Simon; Ali, A. R. M. Mehrab; Mondal, Probal Kumar; Rizwan, Abu Ansar Md.; Hossain, Syed Far Abid; Shuvo, Suvasish Das; Mistry, Sabuj Kanti (Springer, 2023-03-06)
    The current cross-sectional study was conducted among 864 older adults aged ≥ 60 years residing in Rohingya refugee camp through face-to-face interviews during November–December 2021. COVID-19-related anxiety was measured ...
  • Antimalarial Drug Discovery Against Malaria Parasites Through Haplopine Modification 
    Akash, Shopnil; Abdelkrim, Guendouzi; Bayil, Imren; Hosen, Md Eram; Mukerjee, Nobendu; Shater, Abdullah F.; Saleh, Fayez M.; Albadrani, Ghadeer M.; Al-Ghadi, Muath Q.; Abdel-Daim, Mohamed M.; Tok, Tuğba Taşkin (Europe Pub Med Central, 2023-08-24)
    The widespread emergence of antimalarial drug resistance has created a major threat to public health. Malaria is a life-threatening infectious disease caused by Plasmodium spp., which includes Apicoplast DNA polymerase and ...
  • Antifungal Activity of Plant Secondary Metabolites on Candida albicans: An Updated Review 
    Khan, Andleeb; Moni, Sivakumar Sivagurunathan; Ali, M.; Mohan, Syam; Jan, Huma; Rasool, Saiema; Kamal, Mohammad A.; Alshahrani, Saeed; Halawi, Maryam; Alhazmi, Hassan A. (Bentham Science Publishers Ltd., 2022-08-05)
    Fungal infections have been increasing continuously worldwide, especially in immunocompromised individuals. Fungi, regarded as eukaryotic pathogens, have many similarities to the host cells, which inhibit anti-fungal drug ...

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