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  • Brain Tumor Analysis Using Deep Neural Network 
    Khan, Iftekhar; Ahsan, Kuheli; Hasan, Md. Arid; Sattar, Abdus (Proceedings - 5th International Conference on Intelligent Computing and Control Systems, IEEE, 2021-05-26)
    The identification of tumors is one of the most tenacious and emerging fields in medical image processing. A tumor means the unrestricted existence of a bunch of cells in a precise area of the human body which destroys the ...
  • 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 ...
  • Brain Tumor Detection by Kapton Polyimide Based On-Body Patch Antenna in K Band 
    Eshan, Sumit Hassan; Hasan, Raja Rashidul; Sarker, Abdullah Al Mamun; Zabin, Sadia; Tusher, Raja Tariqul Hasan; Rahman, Md. Abdur (IEEE, 2023-03-21)
    This paper is all about to design an antenna for brain tumor detection using a novel material Kapton polyimide. A brain tumor, which has the potential to spread throughout the body and result in cancer, is one of the worst ...
  • Brain Tumor Segmentation from 3D MRI Scans Using U-Net 
    Montaha, Sidratul; Azam, Sami (Springer, 2023-05-11)
    Segmentation of brain tumor from 3D images is one of the most important and difficult tasks in the field of medical image processing as a manual human-assisted categorization can result in incorrect prediction and diagnosis. ...
  • A BrainNet (BrN) based New Approach to Classify Brain Stroke from CT Scan Images 
    Tripura, Dhonita; Haque, Imdadul; Dutta, Mithun; Dev, Shaikat; Jahan, Tanjila; Ghosh, Shomitro Kumar; Islam, Md. Ashiqul (IEEE, 2023-06-09)
    Worldwide, brain stroke is known as the 2nd leading cause of death, and based on Indian history, three people have suffered every minute. There are mainly two different types of brain stroke: ischemic stroke and Hemorrhagic ...
  • BrainNet-7 
    Rashid, Md. Harun-Or; Akter, Salma; Akhi, Amatul Bushra (Daffodil International University, 2022-01-20)
    Tumors in the brain are masses or clusters of abnormal cells that may spread to other tissues nearby and pose a danger to the patient. The main imaging technique used to determine the extent of brain tumors is magnetic ...
  • Brazilian Forest Fire Analysis 
    Jamal, Sadia; Bappy, Tanvir Hossen; Rabby, A. K. M. Shahariar Azad (Scopus, 2021)
    Forest fire is one of the most dangerous natural hazards of planet earth now. Here presenting an approach where it has been trying to analyze the danger of fire for the forests of Brazil. The dataset contains data from ...
  • Breaking the Cycle of Injustice: Investigating Restorative Justice Solutions for Street Begging Children in Dhaka City, Bangladesh through a Comprehensive Socio-Legal Analysis 
    Haque, S. M. Saiful; Chakrabarty, Shambhu Prasad (University of North Bengal, 2021-08-15)
    Street children in Dhaka are subjected to subtle abuse, exploitation, and violence, like children in many third-world countries. Children are found in vulnerable conditions in street-side homes, public walkways, local ...
  • Breast Cancer Classification by Using Multi-Headed Convolutional Neural Network Modeling 
    Pathan, Refat Khan; Alam, Fahim Irfan; Yasmin, Suraiya; Hamd, Zuhal Y.; Aljuaid, Hanan; Khandaker, Mayeen Uddin; Lau, Sian Lun (Scopus, 22-11-25)
    Breast cancer is one of the most widely recognized diseases after skin cancer. Though it can occur in all kinds of people, it is undeniably more common in women. Several analytical techniques, such as Breast MRI, X-ray, ...
  • Breast Cancer Detection using Machine Learning Approach 
    Sattar, Abdus (Daffodil International University, 2023-04-05)
    We have gathered the features of breast cancer and normal persons’ cells both. To classify malignant and benign tumors, we used a supervised machine learning classifier algorithm. This paper shows the last update in this ...
  • Breast Cancer Detection: An Effective Comparison of Different Machine Learning Algorithms on the Wisconsin Dataset 
    Hossin, Md. Murad; Shamrat, F. M. Javed Mehedi; Bhuiyan, Md Rifat; Hira, Rabea Akter; Khan, Tamim; Molla, Shourav (Institute of Advanced Engineering and Science (IAES), 2023-02-03)
    According to the American cancer society, breast cancer is one of the leading causes of women's mortality worldwide. Early identification and treatment are the most effective approaches to halt the spread of this cancer. ...
  • Breastnet18 
    Montaha, Sidratul; Azam, Sami; Muhammad Rakibul Haque Rafid, Abul Kalam; Ghosh, Pronab; Hasan, Md. Zahid; Jonkman, Mirjam; De Boer, Friso (Biology, 2021-11-13)
    Background: Identification and treatment of breast cancer at an early stage can reduce mortality. Currently, mammography is the most widely used effective imaging technique in breast cancer detection. However, an erroneous ...
  • Breathe Safe 
    Siddique, Md. Junayed; Islam, Mohammad Aynul; Nur, Fernaz Narin; Moon, Nazmun Nessa; Saifuzzaman, Mohd. (ICECE 2018 - 10th International Conference on Electrical and Computer Engineering, IEEE, 2018-12-22)
    Recently, garbage management is the most buzzing word to ensure a healthy environment. The dustbins are placed across an open place which are actually over burden and leads an unhygienic environment as well as spreads ...
  • Bridging the Gap in HCI between Industry and Academia 
    Sattar, Abdus; Khan, Nafim; Moheeuddin, Md.; Shaon, Nasir Uddin Khan (10th International Conference on Computing, Communication and Networking Technologies, IEEE, 2019-07-08)
    HCI currently a sonorous regulation which is wholly committed to the design of interactive systems that allow information flow between human and computer. Implementation and judgment are the other two major concern of HCI. ...
  • A Brief Phytochemical Investigation and Pharmacological Uses of Citrus Seed – A Review 
    Rahman, M.M.; Jahan, F.I.; Mim, S.A. (Scopus, 2020)
    Citrus fruits are more important in all over the world. They are well known as nutritional and medicinal property. Lemon is one of the most common citrus fruit. Lemons are typically grown from seeds, which are planted and ...
  • 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 ...
  • BSEVOTING 
    Alvi, Syada Tasmia; Islam, Linta; Rashme, Tamanna Yesmin; Uddin, Mohammed Nasir (Scopus, 2021)
    In a democratic society, a citizen's ability to vote is regarded as one of the most significant legal rights he or she may exercise. For e-voting methods, blockchain presents new possibilities to properly meet transparency, ...
  • BSSID Based Monitoring Class Attendance System Using Wifi 
    Hasan, Mahadi; Saha, Dipto; Ferdosh, Jannatul; Nur, Fernaz Narin; Moon, Nazmun Nessa; Saifuzzaman, Mohd. (Proceedings of the 3rd International Conference on I-SMAC IoT in Social, Mobile, Analytics and Cloud, IEEE, 2019-12-14)
    Recent advancements in wireless technologies have evolved the growth of smart systems in day to day life. Nowadays, people are using WiFi connectivity for accessing the Internet or local hub inside home or office. A smart ...
  • BTSD: A Curated Transformation of Sentence Dataset for Text Classification in Bangla Language 
    Das, Rajesh Kumar; Islam, Mirajul; Khushbu, Sharun Akter (Elsevier, 2023-07-24)
    The Bangla Transformation of Sentence Classification dataset addresses the resource gap in natural language processing (NLP) for the Bangla language by providing a curated resource for Bangla sentence classification. With ...
  • The Burden of Chronic Diseases and Patients' Preference for Healthcare Services among Adult Patients Suffering From Chronic Diseases in Bangladesh 
    Mahumud, Rashidul A; Sultana, Marufa; Kundu, Satyajit; Rahman, Md A; Mistry, Sabuj K; Kamara, Joseph K; Kamal, Mostafa; Ali, Mohammad A; Hossain, Md G; Brooks, Cristy; Khan, Asaduzzaman; Alam, Khorshed; Renzaho, Andre M N (Scopus, 23-01-29)
    Background: Low- and middle-income countries (LMICs) have a disproportionately high burden of chronic diseases, with inequalities in health care access and quality services. This study aimed to assess patients' preferences ...

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