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  • Recent Outbreak of Monkeypox 
    Shuvo, Pollob Ahmed; Roy, Arpita; Dhawan, Manish; Chopra, Hitesh; Emran, Talha Bin (Daffodil International University, 22-09-05)
    Monkeypox virus is an orthopox virus that causes a less severe illness with symptoms similar to smallpox. Monkeypox, which is a zoonotic viral disease, is endemic to West and Central Africa. Two different clades are known, ...
  • Recent Perspective on the Potential Role of Phytocompounds in the Prevention of Gastric Cancer 
    Islam, Md. Rezaul; Rauf, Abdur; Akash, Shopnil; Kumer, Ajoy; Hussain, Md Sadique; Akter, Smrity; Gupta, Jeetendra Kumar; Ansari, L.H. Thameemul; Raj, Mir Md. Mahfoj Islam; Emran, Talha Bin; Aljohani, Abdullah S.M.; Abdulmonem, Waleed Al; Thiruvengadam, Rekha; Thiruvengadam, Muthu (Elsevier, 2023-12-15)
    Gastric cancer (GC) is a serious global health concern. GC is a form of cancer that advances through the stomach lining. Therefore, there is a requirement to explore novel preventive strategies for GC. A novel study indicated ...
  • Recent Poliovirus Outbreaks and Vaccination: a Perspective 
    Sethi, Yashendra; Kaka, Nirja; Chopra, Hitesh; Aggarwal, Navidha; Arora, Sonia; Emran, Talha Bin (Scopus, 22-11-18)
    Poliomyelitis is an enteroviral disease, caused by “Poliovirus” a non-enveloped RNA virus, belonging to the Picornaviridae family. Three serotypes of Poliovirus (PV1, PV2, and PV3) with minimal heterotypic immunity are ...
  • Recent Trends and Developments in Multifunctional Nanoparticles for Cancer Theranostics 
    Rabaan, Ali A.; Bukhamsin, Rehab; Saihati, Hajir Al; Alshamrani, Saleh A.; Sihati, Jehad Al; Al-Afghani, Hani M.; Alsubk, Roua A.; Abuzaid, Abdulmonem A.; Al-Abdulhadi, Saleh; Aldawood, Yahya; Alsaleh, Abdulmonem A.; Alhashem, Yousef N.; Almatouq, Jenan A.; Emran, Talha Bin; Al-Ahmed, Shamsah H.; Nainu, Firzan; Mohapatra, Ranjan K. (Scopus, 22-12-07)
    Conventional anticancer treatments, such as radiotherapy and chemotherapy, have significantly improved cancer therapy. Nevertheless, the existing traditional anticancer treatments have been reported to cause serious side ...
  • Receptor Model-Based Source-Specific Health Risks of Toxic Metal(loid)s in Coal Basin-Induced Agricultural Soil in Northwest Bangladesh 
    Habib, Md. Ahosan; Islam, Abu Reza Md. Towfiqul; Varol, Memet; Phoungthong, Khamphe; Khan, Rahat; Islam, Md. Saiful; Hasanuzzaman, Md.; Mia, Md. Yousuf; Costache, Romulus; Pal, Subodh Chandra (Springer Nature, 2023-08-30)
    Toxic metal(loid)s (TMLs) in agricultural soils cause detrimental effects on ecosystem and human health. Therefore, source-specific health risk apportionment is very crucial for the prevention and control of TMLs in ...
  • Recognition of Bangladeshi Sign Language (BdSL) Words using Deep Convolutional Neural Networks (DCNNs) 
    Haque, Aminul; Pulok, Rishad Amin; Rahman, Md. Mizanur; Akter, Sanzida; Khan, Nusrat; Haque, Shamsul (Ital Publications, 2023-12-01)
    In a world where effective communication is fundamental, individuals who are Deaf and Dumb (D&D) often face unique challenges due to their primary mode of communication—sign language. Despite the interpreters' invaluable ...
  • Recognition of Jute Diseases by Leaf Image Classification Using Convolutional Neural Network 
    Hasan, Md. Zahid; Ahamed, Md. Sazzadur; Rakshit, Aniruddha; Hasan, K. M. Zubair (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    As Convolutional Neural Network (CNN) is achieving the state-of-the-art in the field of image classification, this research work focuses on the finding prominent accuracy of the jute leaf image diseases using deep learning ...
  • Recognition of Local Birds of Bangladesh Using Mobile Net and Inception-v3 
    Rahman, Md. Mahbubur; Biswas, Al Amin; Rajbongshi, Aditya; Majumder, Anup (Scopus, 2020)
    Recognition of bird species can be a challenging task due to various complex factors. The purpose of this work is to distinguish various local bird species of Bangladesh from the image data. The MobileNet and Inception-v3 ...
  • Recognition of Local Birds Using Different CNN Architectures with Transfer Learning 
    Biswas, Al Amin; Rahman, Md. Mahbubur; Rajbongshi, Aditya; Majumder, Anup (2021 International Conference on Computer Communication and Informatics (ICCCI), IEEE, 2021-04-21)
    The global world is dependent and integrated with all the ecosystems. To survive in the race, we must need to know about the birds and their habitats and importance to the existence of the human race on earth. However, it ...
  • Recognition of Mango Leaf Disease Using Convolutional Neural Network Models 
    Rajbongshi, Aditya; Khan, Thaharim; Rahman, Md. Mahbubur; Pramanik, Anik; Siddiquee, Shah Md Tanvir; Chakraborty, Narayan Ranjan (Indonesian Journal of Electrical Engineering and Computer Science, 2021)
    The acknowledgment of plant diseases assumes an indispensable part in taking infectious prevention measures to improve the quality and amount of harvest yield. Mechanization of plant diseases is a lot advantageous as it ...
  • Recognition of Mustard Plant Diseases Based on Improved Deep Convolutional Neural Networks 
    Hridoy, Rashidul Hasan; Arni, Arindra Dey; Hassan, Md Ariful (Daffodil International University, 2022-07-05)
    Diseases of the mustard plant are a major threat to the quality production of mustard oil, but rapid recognition of these diseases becomes cumbersome due to the absence of expert identification infrastructures. This study ...
  • Recognition of Tuberculosis on Medical X-Ray Images Utilizing MobileNet Transfer Learning 
    Hossain, Sheikh Imtiaz; Nipu, Sharmin Alam; Hasan, Md. Rakib (IEEE, 2023-03-27)
    Mycobacterium Tuberculosis (M. TB) bacteria causes Tuberculosis, which leads a human to death. The World Health Organization declared TB a highly infectious disease and reported that 1.7 million individuals die yearly. WHO ...
  • Recognizing Human Emotions from Eyes and Surrounding Features: A Deep Learning Approach 
    Shuvo, Md Nymur Rahman; Akter, Shamima; Islam, Md. Ashiqul; Hasan, Shazid; Shamsojjaman, Muhammad; Khatun, Tania (Scopus, 2021)
    Abstract: The need for an efficient intelligent system to detect human emotions is imperative. In this study, we proposed an automated convolutional neural network-based approach to recognize the human mental state from ...
  • Recognizing Language and Emotional Tone from Music Lyrics Using IBM Watson Tone Analyzer 
    Marouf, Ahmed Al; Hossain, Rafayet; Sarker, Md. Rahmatul Kabir Rasel; Pandey, Bishwajeet; Siddiquee, Shah Md. Tanvir (Proceedings of 2019 3rd IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2023, IEEE, 2019-10-17)
    Music has a soothing impact on listener's mood and emotional states. Apart from the rhythm, sequence, instrumental effects on a song, lyrics could be considered as the most vital element. Lyricists' mood and affection ...
  • Recognizing Novel Drugs against Keap1 in Alzheimer's disease Using Machine Learning Grounded Computational Studies 
    Mukerjee, Nobendu; Al-Khafaji, Khattab; Maitra, Swastika; Wadi, Jaafar Suhail; Sachdeva, Punya; Ghosh, Arabinda; Buchade, Rahul Subhash; Chaudhari, Somdatta Yashwant; Jadhav, Shailaja B.; Das, Padmashree; Hasan, Mohammad Mehedi; Rahman, Md. Habibur; Albadrani, Ghadeer M.; Albadrani, M.; Altyar, Ahmed E.; Kamel, Mohamed; Algahtani, Mohammad; Shinan, Khlood; Theyab, Abdulrahman; Daim, Mohamed M. Abdel-; Ashraf, Md.; Rahman, Md. Mominur; Sharma, Rohit (Scopus, 22-12-31)
    Alzheimer’s disease (AD) is the most common neurodegenerative disorder in the world, affecting an estimated 50 million individuals. The nerve cells become impaired and die due to the formation of amyloid-beta (Aβ) plaques ...
  • Recommendation Approach of English Songs Title Based on Latent Dirichlet Allocation Applied on Lyrics 
    Hossain, Rafayet; Sarker, Md. Rahmatul Kabir Rasel; Mimo, Mehejabin; Marouf, Ahmed Al; Pandey, Bishwajeet (Proceedings of 2019 3rd IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2019, IEEE, 2019-10-17)
    The significance of music has evolved due to the vast diversity of entertainment industry. Songs are the widely used entertainment segment that can influence directly to the heart of the listeners. Choosing a suitable title ...
  • Recycling Orange Waste for the Sustainable Dyeing of Polyester Fabric 
    Hussain, Touqeer; Arain, Muhammad Fahad; Khan, Imran Ahmad; Javed, Kashif; Khan, Hamza; Ahmed, Arsalan; Khan, Asfandyar (Elsevier, 2024-10-10)
    This research marks the first instance of employing an orange peel powder (OP) for the environmentally friendly one-bath extraction and dyeing of 100 % polyester fabric through the exhaust method. OP is an abundant, ...
  • Reducing Energy Usage and Cost for Environmentally Conscious Cooling Infrastructure 
    Hossain, Md. Jakir; Akash, Fardin Rahman; Ahmed, Sabbir; Sarker, Mohammad Rifat; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer, 2023-12-19)
    We live in a technological world where everything is powered by electricity. Most of the energy is derived from fossil fuels, a nonrenewable resource. According to the International Energy Agency, only 28% of the world’s ...
  • Reduction of Effective Material Loss (EML) Using Decagonal Photonic Crystal Fiber (D-PCF) for Communication Applications in the Terahertz Wave Pulse 
    Unknown author (23-09-08)
    We present an excellent design of five layers of decagonal shape in the cladding area and two elliptical shapes of core area based photonic crystal fiber (PCF) for many types of communiqué arenas in the THz wave pulse in ...
  • Reduction of Radar Cross Section by Adopting Symmetrical Coding Metamaterial Design for Terahertz Frequency Applications 
    Ramachandran, Tayaallen; Faruque, Mohammad Rashed Iqbal; Singh, Mandeep Singh Jit; Khandaker, Mayeen Uddin; Salman, Mohammad; Youssef, Ahmed A. F. (MDPI Publications, 2023-01-23)
    This work focused on the novel and compact 1-bit symmetrical coding-based metama- terial for radar cross section reduction in terahertz frequencies. A couple of coding particles were constructed to impersonate the elements ...

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