School of Data and Sciences (SDS): Recent submissions

Now showing items 541-560 of 2374

    • Assessment of multidrug resistant bacterial load in cosmetics bought from local markets of Bangladesh 

      Nusrat, Namira; Zahra, Maftuha Ahmad (Brac University, 2022-02)
      A total of 27 brands of commercially available lipsticks, powders and creams were collected from different parts of Dhaka, in order to test their level of contamination. Organisms were detected from 85.2% of the cosmetic ...

    • Out-of-time-order correlators as a measure of quantum chaos for sinai, cardioid and diamond billiards 

      Ador, Tasnim Anzum; Farid, Nayeem (Brac University, 2023-05)
      The field of quantum chaos studies how the chaotic dynamics of a classical system manifest in its quantum counterpart. Various indicators and measures of classical chaos have been discovered, such as the classical Lyapunov ...

    • Demystifying lanthanomes: a pangenomic approach 

      Rafsan, Rian (Brac University, 2023-04)
      Certain members of multi-generic, gram negative proteobacteria (newly named pseudomonatota) have recently been reported to be capable of successfully utilizing the catalytic potential of lanthanide metals for the efficient ...

    • Knowledge, Attitude and Practice (KAP) study for thalassemia: a cross-sectional study at BRAC University, Bangladesh 

      Mim, Afsana (Brac University, 2023-04)
      Thalassemia is the most common non-communicable autosomal recessive blood disorder posing major public health concerns in many parts of the world including Bangladesh. Having definitive treatments remained largely inaccessible, ...

    • Frequency and associated risk factors of diabetic foot infection: a review on the management and prevention 

      Rahman, Madiha (Brac University, 2023)
      Diabetic foot infection (DFI) is a soft tissue or bone infection below the malleoli, leads to lower extremity amputation in 85% of diabetics which results in high-cost hospitalization and a higher mortality risk. Almost ...

    • Bacteriophage mediated inter & intraspecies chromosomal gene transfer 

      Khan, Md. Rakunuzzaman; Mayuri, Tanzia Kaisar; Md. Ashraful Haque, Abir (Brac University, 2023-04)
      Although many different methods of horizontal gene transfer have already been identified, and the effect of bacteriophages on horizontal chromosomal gene transfer is yet to be well studied. Bacteriophages are linked to ...

    • Bacterial etiology and antibiotic resistance pattern of adult pneumonia in South Asia: a review 

      Eusra, Kazi Fatiha; Shehrin, Shaira (Brac University, 2023-05)
      This article reviews literature focused on Community Acquired Pneumonia (CAP), Hospital Acquired Pneumonia (HAP) and Ventilator Associated Pneumonia (VAP) in adults published over the years of 2004 to 2021. The review ...

    • Correlation of cancer types with stages and symptoms: analysis-based descriptive cross-sectional study 

      Uddin, Sharika Suhrat Bushra; Akther, Fahmeda; Shahriar, S.M Shakil (Brac University, 2023-05)
      Background and aim: One of the leading causes of morbidity and mortality worldwide is Cancer which accounted for nearly 10 million deaths in recent years. Cancer arises from the transformation of normal cells into tumor ...

    • Autonomous delivery robot 

      Zavin, Sarin Rahman; Rahaman, Kazi Habibur; Nayeem, Safat Ahmed; Bin Mujahid, SK Rubayet; Sarkar, Swapnil (Brac University, 2023-05)
      Autonomous driving is now a topic of great interest in the modern world. With the advancement of AI and hardware technology, it is now possible to tackle many obstacles a human usually faces. The concept of the autonomous ...

    • Electronic voting system based on blockchain 

      Ahmed, Tanvir (Brac University, 2022-09)
      The primary goal of this application is to create a voting app which is safe and the result is unchangeable. By using blockchain technology these goals can be achieved. Data in blockchain is not stored in only one location ...

    • Skin lesion classification using different CNN models 

      Oli, Md. Yahea Sultan (Brac University, 2023-05)
      The field of dermatoscopic image classification has gained significant attention as there is a growing demand for early diagnosis of specific diseases. The use of deep learning is increasingly significant in the quest ...

    • References validation in scholarly articles using RoBERTa 

      Nasib, Abdullah Umar (Brac University, 2023-05)
      In the recent era of technological advancement, evaluating references and assignments and validating those are some of the primary processes to justify the authenticity of a research work in the academic sector. The purpose ...

    • Automatic waste classification using deep learning and computer vision techniques 

      Akash, MD.; Shama, Umme Sabiha; Dibash, Dey; Ghosh, Ria (Brac University, 2023-03)
      Waste management refers to a system that starts with classifying different kinds of waste and gradually managing it from its inception to its final disposal. Labeling waste in a proper manner can ensure the best outcome ...

    • A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium 

      Ahmed, Istiak; Prima, Shanzida Binta Akram; Baptee, Tahsin Anzum; Afroz, Mehrin; Shanto, Ariful Islam (Brac University, 2023-04)
      Nowadays, social networking sites like Facebook and Twitter have become an sig- nificant impact on our lives . We use such sites to remain in touch with one another and as a source of news to stay informed about current ...

    • Automated overtaking assistance system: a real-time approach using deep learning techniques 

      Moonjarin, Musarrat; Charu, Krity Haque; Nafis, Kh. Fardin Zubair; Sawly, Suraya Jahan (Brac University, 2023-03)
      Road accidents are one of the major causes of fateful deaths in Bangladesh. In most cases it is caused by Overtaking on highways or on regular roads. In terms of overtaking the major task is to decide whether the overtaking ...

    • Prediction of earthquakes: a step towards predicting the unpredictable 

      Chowdhury, Maheen; Rahaman, Md Abdur; Islam, Tafhim Sadman; Sultana, Rahanuma; Rahman, Anjolika (Brac University, 2023-01)
      One of the most catastrophic natural disasters is an earthquake, especially because they typically occur without warning. It has catastrophic effects on both the econ- omy of a nation and human life. Our paper is a step ...

    • Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia 

      Amin, Sifatul; Jawed, MD. Samin; Rashed Raj, MD. Rejuan; Ahmed Saimoon, MD. Sabbir; Rayhan, MD. Rakibuzzaman (Brac University, 2023-01)
      Blood cancer is a serious and potentially deadly type of cancer that affects the pro duction of blood cells in the body.Leukemia, lymphoma, and myeloma are the three primary kinds of blood cancer.Leukemia, which is the ...

    • Federated ensemble-learning for transport mode detection in vehicular edge network 

      Alam, MD. Mustakin; Ahmed, Tanjim; Hossain, Meraz; Emo, Mehedi Hasan; Islam Bidhan, Md. Kausar (Brac University, 2023-01)
      Transport Mode detection has become a crucial part of Intelligent Transportation Systems (ITS) and Traffic Management Systems due to the recent advancements in Artificial Intelligent (AI) and the Internet of Things (IoT). ...

    • A quantum algorithm for pairwise sequence alignment 

      Khan, Md.Rabiul Islam; Rafid, Shaikh Farhan; Jahan, Raya (Brac University, 2023-01)
      DNA Sequence Alignment is the process of aligning DNA sequences in order to identify similarities between multiple sequences. The primary reason is to sort out the evo lutionary, functional or structural relationships ...

    • Fire and disaster detection with multimodal quadcopter By machine learning 

      Afrin, Anika; Rahman, Md Moshiour; Chowdhury, Ayash Hossain; Eshraq, Mirza; Ukasha, Mehvish Rahman (Brac University, 2023-03)
      Our thesis research is consisted of developing a model that can detect early fires and, mapping the area for fire and disaster detection using a UAV (Unmanned Aerial Vehicle) or quadcopter if a fire break out. Furthermore, ...