Faculty of Engineering & Applied Sciences: Recent submissions

  • Apple Disease Diagnosis for Precision Agriculture Using Deep Learning Neural Network 
    Islam, Md Manzurul; Haque, Md Rafsanul; Islam, Shariful; Eshan, Touhiduzzaman; Santo, Md Erfan Ahammed (Department of CSE, BUBT, 2023-05)
    Fruit diseases in agricultural products could result in financial loss. A human specialist could classify diseases, which is the traditional method, but it is costly and time-consuming. In this paper, we focus on an important ...
  • Health Intelligence: An IoT-Based System for Remote Health Monitoring 
    Hossain, Md. Ashraful; Rumman, Sk. Md.; Chowdhury, Arup Raton; Rahman, Shaminur; Shafin, Rakibul Hasan (Department of CSE, BUBT, 2023-05)
    Smart Healthcare addresses the need for continuous monitoring, particularly in rural areas, by connecting local clinics with metropolitan hospitals. It aims to improve healthcare access and bridge the gap between patients ...
  • Cassava Leaf Disease Classification using Supervised Contrastive Learning 
    Shakil, Mehedi Hasan; Mim, Sadiya Akter; Arafah, Sayefa; Shammey, Nusrat Jahan; Nayeem, Abid Hassan (Department of CSE, BUBT, 2023-04)
    Cassava is a nutty-flavored long bulbaceous starchy root vegetable. It is the principal source of calories and carbs for many people around the world, especially in southern Africa. Cassava production is most common in ...
  • A Decentralized Approach using Blockchain Enabled Federated Learning for Interconnected Vehicular Network 
    Sultana, Shirin; Hossain, Jahin; Billah, Maruf; Khan, Imtiaz; Shajeeb, Hasibul Hossain (Department of CSE, BUBT, 2023-04)
    Autonomous vehicles have made it important for vehicles to share information quickly and easily to make driving safer and make smart transportation possible. However, centralized data sharing approaches pose security and ...
  • Human Activity Recognition using Deep Learning Approach 
    Habibullah; Majumdar, Pallab; Mitu, Mafuja Akter; Adhikary, Joy; Sufian, Al Ahad (Department of CSE, BUBT, 2023-05)
    Human action detection and recognition is a topic that is constantly being studied in machine learning and deep learning. We can perform the human action recognition by using machine learning and deep learning. In this ...
  • A Hybrid Deep Learning Method with Transfer Learning and Support Vector Machine (SVM) for Brain Tumor Classification from MRI Images 
    Siddique, Abu Zobayer Bin; Shoaib, Ahmed Mahir; Das, Shoibal. (Computer Science and Engineering, 2023-05)
    Accurate determination of the classification and severity of a cerebral neoplasm is imperative in formulating a course of therapy and predicting the likely outcome. Magnetic resonance imaging (MRI) has emerged as the ...
  • Technical and Economic Feasibility Analysis of Flywheel Hybridization in Energy Storage System Coupled with a Microgrid 
    Rahman, B. M. Hasibur; Zardar, Md. Abu; Bappy, Md. Tofayel Ahmad; Wadud, Md. Abdul; Ahamed, Md. Rafi (BUBT, 2022-10)
    This project deals with the technical and economic feasibility analysis of a hybrid microgrid based on integrating electrochemical batteries and a Flywheel Energy Storage System (FESS) for a garments factory (Ananta Denim ...
  • IoT Based Smart Energy Meter 
    Miya, Md Sabbir; Shakil, Km.; Kabir, Md.Alamgir; Islam, Md.Shaiful; Hossain, Md.Sanwar (BUBT, 2022-06)
    With a smart meter, you can manage and save energy efficiently, which is a convenient way to save money. Users are connected to their smart meters through IoT. This allows the user to adjust the meter as per his needs. ...
  • Smart Industrial Automation using IoT 
    Rahman, Md. Anisur; Fatima, Kaniz; Islam, Md. Manzurul; Sweety, Sufia; Moktadir, Golam (BUBT, 2022-05)
    Technology relating to the Internet of things (IoT) is rapidly advancing. IoT enables the collection and exchange of data by a network of physical objects with embedded software, sensors, and network connectivity. Our ...
  • Office automation and safety for covid situation 
    Ayub, salauddin (BUBT, 2022-05)
    Office Automation
  • Low Voltage ride through for Solar Power 
    Islam, Md. Ashraful; Shamim, Hossen; Babul, Siddik (2022)
    This paper presents a low-voltage ride-through (LVRT) control strategy for grid-connected energy storage systems . The increase in the rated power of PV inverters has brought with it new requirements, such as Low Voltage ...
  • IOT Based Solar, loads power monitoring and Control 
    AFRIN, NADIA; RASED, MOHAMMAD IBNE SAM; ALAM, MD.NURA; AKTER, MST.SHARMIN; RASHID, MD.HARUN OR (BUBT, 2022)
    At first, we would like to express our gratitude to almighty Allah who has given us the opportunity, determination and strength to write a report. His continuous grace and mercy were with us throughout our lives and ever ...
  • IoT Based Smart Energy Meter With Data Logger 
    Rana, Md. Masud; Hossain, Naim; Ahamed, Md. Tasrif (BUBT, 2022)
    The IOT based Energy Meter is based on Microcontroller. This system eliminates the Human involvement in electricity maintenance. The theft of electricity increases the costs paid by customers. Hence this system is used ...
  • Green power generation from Solar and Automobile 
    Rahman, Md Habibur; Hasan, Jahid; Hasan, Md. Tanvir; Paul, Sourav; Nahiduzzaman, Md. (BUBT, 2022-06)
    Electric power generation is becoming increasingly critical for vehicles today as they strive for cleaner environments and more efficient operations. A hybrid electric vehicle's drive range will be improved using solar ...
  • Design of Porous Core Fiber for Terahertz Regime using Zeonex 
    Omor, Imam Hosain; Gomes, Urchila Tanni; Hasan, Mahadi; Shemu, Fatema Akter; Islam, Md Zahidul (BUBT, 2022-07)
    In this research work, we have designed a Zeonex based single-mode microstructured fiber consisting of a suspended slotted core for THz wave guidance. Full-vector finite element method with perfectly matched layer boundary ...
  • ETAP study of Hybrid Power plants having Dual sources of Renewable Energy 
    Khan, Imran Ahamad; Ahad, Mohd. Shafayet Ullah; Mukit, Abdullah Al; Sourov, Salahin; Sany, Md. Sabbir Ahmed (BUBT, 2022-11)
    The study provides an analysis and makes recommendations regarding how dual source renewable energies may be a practical alternative for generating electricity in an isolated location. Understanding the role that renewable ...
  • Aquaponics monitoring system using Artificial intelligence 
    Rakib, Md. Abdur; Johan, Md. Saiham Sajid; Sharkar, Md. Ahsanul Habib; Hasan, Md. Rakib; Hossain, Md. Ismail (BUBT, 2022-10)
    Aquaponics is a food production method that combines the traditional hydroponics with aquaculture in a symbiotic relationship that facilitates a sustainable system with necessary input as all the water and nutrients within ...

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