Articles: Recent submissions

  • A Machine Learning Approach to Detect the Brain Stroke Disease 
    Akter, Bonna; Rajbongshi, Aditya; Sazzad, Sadia; Shakil, Rashiduzzaman; Biswas, Jahanur; Sara, Umme (Daffodil International University, 2022-03-15)
    The brain, which comprises the cerebrum, cere-bellum, and brainstem and is covered by the skull, is a very complex and intriguing organ in the human body. Stroke is the world's second-leading cause of mortality; as a result, ...
  • A Proposed Bi-LSTM Method to Fake News Detection 
    Islam, Taminul; Hosen, MD Alamin; Mony, Akhi; Hasan, MD Touhid; Jahan, Israt; Kundu, Arindom (Daffodil International University, 2022-04-22)
    Recent years have seen an explosion in social media usage, allowing people to connect with others. Since the appearance of platforms such as Facebook and Twitter, such platforms influence how we speak, think, and behave. ...
  • Pothole Detection Using Optical Camera Communication 
    Ali, Md. Osman; Jahan, Israt; Mofidul, Raihan Bin; Jang, Yeong Min (Daffodil International University, 2022-03-22)
    Optical camera communication (OCC) is a potential candidate for the commercial deployment of vehicular commu- nication. Recently, researchers have focused on the development of an OCC-based advanced driver assistance ...
  • Nexus of Stakeholder Integration, Green Investment, Green Technology Adoption and Environmental Sustainability Practices 
    Hossain, Mohammad Imtiaz; Ong, Tze San; Teh, Boon Heng; Said, Ridzwana Mohd; Siow, May Ling (Daffodil International University, 2022-03-10)
    This study investigates the sway of stakeholder integration and green investment on Environmental Sustainability Practices (ESP), as well as the moderating role of Green Technology Adoption (GTA) in Bangladesh Textile small ...
  • Neuropharmacological and Antidiabetic Potential of Lannea coromandelica (Houtt.) Merr. Leaves Extract 
    Islam, Fahadul; Mitra, Saikat; Nafady, Mohamed H.; Rahman, Mohammad Tauhidur; Tirth, Vineet; Akter, Aklima; Emran, Talha Bin; Mohamed, Amany Abdel-Rahman; Algahtani, Ali; El-Kholy, Sanad S. (Daffodil International University, 2022-03-28)
    The present study examines the neuropharmacological and antidiabetic properties of methanol leaves extract of Lannea coromandelica in animal models. This study is carried out by elevated plus-maze apparatus, motor coordination, ...
  • Multifunctional Therapeutic Approach of Nanomedicines against Inflammation in Cancer and Aging 
    Rahman, Md. Mominur; Islam, Fahadul; Mim, Sadia Afsana; Khan, Md. Shajib; Islam, Md. Rezaul; Haque, Md. Anamul; Mitra, Saikat; Emran, Talha Bin; Rauf, Abdur (Daffodil International University, 2022-03-21)
    Cancer is a fatal disorder that affects people across the globe, yet existing therapeutics are ineffective. The development of submicrometer transport for optimizing the biodistribution of systemically provided medications ...
  • Capable of Classifying the Tuples With Wireless Attacks Detection Using Machine Learning 
    Islam, Tariqul; Allayear, Shaikh Muhammad (Daffodil International University, 2023-03-22)
    A wireless attack is a malicious action against wireless systems and wireless networks. In the last decade of years, wireless attacks are increasing day by day and it is now a very big problem for modern wireless communication ...
  • An Insight into Pathway and Health Risk Assessment of Toxic Metals in Herbal Medicine 
    Zamir, Rausan; Islam, Nazmul; -E-Zahan, Kudrat; Asraf, Ali; Zakaria, Choudhury M. (Daffodil International University, 2022-03-23)
    Introduction. Along with and in competition with orthodox medicines, herbal medicines have converted into a popular form of cure. While cumulative investigation reports on adverse effects by herbal drug uptake are few, ...
  • Green Synthesis of Gold and Silver Nanoparticles Using Opuntia Dillenii Aqueous Extracts 
    Ahmed, Anees; Rauf, Abdur; Hemeg, Hassan A.; Qureshi, Muhammad Nasimullah; Sharma, Rohit; Aljohani, Abdullah S. M.; Alhumaydhi, Fahad A.; Khan, Ibrahim; Alam, Amir; Rahman, Md. Mominur (Daffodil International University, 2022-03-26)
    In the present study, gold (Au) and silver (Ag) nanoparticles (NPs) were synthesized from aqueous extracts of Opuntia dillenii, characterized by various advanced techniques and investigated for antibacterial and antifungal ...
  • Bioactive Compounds and Their Derivatives 
    Islam, Fahadul; Khadija, Jannatul Fardous; Rashid, Md. Harun-Or-; Rahaman, Md. Saidur; Nafady, Mohamed H.; Islam, Md. Rezaul; Akter, Aklima; Emran, Talha Bin; Wilairatana, Polrat; Mubarak, Mohammad S. (Daffodil International University, 2022-04-11)
    Alzheimer’s disease (AD) is a common neurodegenerative brain disorder that causes cellular response alterations, such as impaired cholinergic mechanism, amyloid-beta (Aβ) AD aggregation, neuroinflammation, and several other ...
  • Brain Tumor Auto-Segmentation on Multimodal Imaging Modalities Using Deep Neural Network 
    Hossain, Elias; Hossain, Md. Shazzad; Hossain, Md. Selim; Jannat, Sabila Al; Huda, Moontahina; Alsharif, Sameer; Faragallah, Osama S.; Eid, Mahmoud M. A.; Rashed, Ahmed Nabih Zaki (Daffodil International University, 2022-02-16)
    Due to the difficulties of brain tumor segmentation, this paper proposes a strategy for extracting brain tumors from three-dimensional Magnetic Resonance Image (MRI) and Computed Tomography (CT) scans utilizing 3D U-Net ...
  • Malabar Nightshade Disease Detection Using Deep Learning Technique 
    Haque, Imdadul; Mojumdar, Mayen Uddin; Chakraborty, Mr. Narayan Ranjan; Rana, Md. Suhel; Siddiquee, Mr. Shah Md Tanvir; Ashik, Md. Mehedi Hasan (Daffodil International University, 2022-08-07)
    One of the most common vegetables as Malabar cultivates is increasing day by day, and the farmers are suffering from the Malabar disease known as scab disease on Malabar leaves. And the researcher is always trying to make ...
  • Performance Analysis of Classification Algorithms for Outcome Prediction of T20 Cricket Tournament Matches 
    Pramanik, Md. Aktaruzzaman; Suzan, Md. Mahmudul Hasan; Biswas, Al Amin; Rahman, Mohammad Zahidur; Kalaiarasi, A. (Daffodil International University, 2022-04-08)
    Cricket is the most popular sport in south Asian countries and the second most popular sport globally. And T20 cricket is the most attractive version of this game. Businesses have grown enormously based on cricketing sports ...
  • Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19 
    Lucky, Effat Ara Easmin; Sany, Md. Mahadi Hasan; Keya, Mumenunnesa; Rahaman, Md. Moshiur; Happy, Umme Habiba; Khushbu, Sharun Akter; Hasan, Md. Arid (Daffodil International University, 2022-04-20)
    By trade we usually mean the exchange of goods between states and countries. International trade acts as a barometer of the economic prosperity index and every country is overly dependent on resources, so international ...
  • Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images 
    Subramanian, Malliga; Kumar, M. Sandeep; Sathishkumar, V. E.; Prabhu, Jayagopal; Karthick, Alagar; Ganesh, S. Sankar; Meem, Mahseena Akter (Daffodil International University, 2022-04-15)
    Retinal abnormalities have emerged as a serious public health concern in recent years and can manifest gradually and without warning. These diseases can affect any part of the retina, causing vision impairment and indeed ...
  • In Vivo Anti-Inflammatory, Analgesic, Muscle Relaxant, and Sedative Activities of Extracts from Syzygium cumini (L.) Skeels in Mice 
    Rauf, Abdur; Al-Awthan, Yahya S.; Khan, Imtaiz Ali; Muhammad, Naveed; Shah, Syed Uzair Ali; Bahattab, Omar; Al-Duais, Mohammed A.; Sharma, Rohit; Rahman, Md. Mominur (Daffodil International University, 2022-04-11)
    In the current study, the folklore medicine, Syzygium cumini, was experimentally evaluated for anti-inflammatory, analgesic, sedative, and muscle relaxant effects. The extract and fractions of S. cumini were found safe up ...
  • A Comparative Analysis of Food Habit and Nutrition on Food in Bangladesh Using Machine Learning 
    Ahmed, Md. Tofael; Ferdaous, Jannatul; Kamruzzaman, Md.; Khatun, Mst. Eshita (Daffodil International University, 2022-04-18)
    Day by day, humans change their way of life. Eating habits are one of them. This research mainly focuses on the eating food habits and nutritional status of the people in Bangladesh. For a healthy and beautiful nation, ...
  • Sentiment Analysis from User-Generated Reviews of Ride-Sharing Mobile Applications 
    Mahmud, Md. Shihab; Bonny, Afrin Jaman; Saha, Uchchhwas; Jahan, Mehrin; Tuna, Zannatul Ferdhoush; Marouf, Ahmed Al (Daffodil International University, 2022-04-15)
    Smartphone applications play an increasingly significant part in our everyday lives, and their use has skyrocketed. The Google Play Store is a well-known plat-form through which one may obtain various Android applications ...
  • A Promising Prediction of Diabetes Using a Deep Learning Approach 
    Shakil, Rashiduzzaman; Akter, Bonna; Faisal, Fahad; Chowdhury, Tahmid Rashik; Roy, Tonmoy; Khater, Ankit (Daffodil International University, 2022-01-06)
    Diabetes is a collection of metabolic illnesses caused by a persistently high blood sugar level. If a reliable estimation is achievable, diabetes risk factors and severity can be reduced. In diabetes datasets, consistent ...
  • A Comparative Analysis of SMS Spam Detection employing Machine Learning Methods 
    Aliza, Humaira Yasmin; Nagary, Kazi Aahala; Ahmed, Eshtiak; Puspita, Kazi Mumtahina; Rimi, Khadiza Akter; Khater, Ankit; Faisal, Fahad (Daffodil International University, 2022-04-13)
    In recent times, the increment of mobile phone usage has resulted in a huge number of spam messages. Spammers continuously apply more and more new tricks that cause managing or preventing spam messages a challenging task. ...

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