• Analysis and interpretability of machine learning models to classify thyroid disease 

  Sumya Akter (Institute of Information and Communication Technology, BUET, 2023-10-30)

  Thyroid disease classification plays a crucial role in early diagnosis and effective treat- ment of thyroid disorders. Machine learning (ML) techniques have demonstrated re- markable potential in this domain, offering ...
• Automated writing evaluation using sentence-level scoring model 

  Hossain, Mehadi (Institute of Information and Communication Technology (IICT), BUET, 2023-11-25)

  Automated evaluation of a writer’s writing abilities involves the utilization of computer programs to assess written work and provide feedback to the writer. This process is commonly used in educational settings to grade ...
• IoT-based smart water consumption monitoring system for residential complex 

  Imtiaz Ahmed (nstitute of Information and Communication Technology, BUET, 2022-04-01)

  Water scarcity is a pressing global issue, emphasizing the importance of monitoring and conserving water resources. This research introduces an IoT based water consumption monitoring system for residential complexes, ...
• Hybrid deep learning framework for lung disease diagnosis based on chest radiography images 

  Alam, Fatema Binte (Institute of Information and Communication Technology (IICT), BUET, 2023-10-05)

  Early evaluation and diagnosis serve as the first crucial step towards effective patient management, especially in critical medical conditions like lung diseases. Computer-aided diagnostic systems can help radiologists ...
• DEVELOPMENT OF ANENSEMBLE FEATURE SELECTION METHOD FOR CLASSIFICATION OF MEDICAL DATA 

  Arju Manara, Begum (Institute of Information and Communication Technology, 2023-02-04)

  Feature selection (FS), a crucial preprocessing step in machine learning, greatly reduces the dimension of the data and improves model performance. By removing irrelevant and redundant features from the feature space, the ...
• Ensembled machine learning based diabetes prediction: a cross-country perspective 

  Shampa, Sadia Afrin (Institute of Information and Communication Technology (IICT), BUET, 2023-10-14)

  Diabetes is a chronic disease caused by elevated blood sugar levels. Its adverse effects in-clude complications such as cardiovascular diseases, kidney failure, and impaired vision,contributing to a substantial health ...
• Development of a deep learning framework for the diagnosis of lung infectious diseases 

  Das, Sanchita Rani (Institute of Information and Communication Technology (IICT), BUET., 2023-05-17)

  Deep learning (DL)-based diagnosis of respiratory illnesses has the ability to detect diseases early. However, the success of DL algorithms is dependent on the datasets, therefore developing an algorithm that works with ...
• Efficient error correction scheme for memristor-based memories 

  Mehedy Hasan Sumon, Md. (Institute of Information and Communication Technology (IICT), 2022-10-29)

  Memristor-based memory is an emerging technology that may replace conventional memory devices due to their compact size, higher density, lower power consumption, faster operating time, non-volatile property, and suitability ...
• Development of an energy efficient microcontroller based light control system for smart home application 

  Adhikari, Shimul Kumar (Institute of Information and Communication Technology, (IICT), BUET, 2022-11-30)

  Automation is a demand in this era of information and communication technology where a smart control system is used to reduce or replace human operators in the industry, offices or homes. Home automation system is the ...
• Wirelless transmission and error correction of train arrival signal using RF communication for automated railway level crossing system 

  Rifat, Ahmed (Institute of Information and Communication Technology (IICT), 2022-08-10)

  LoRa is a chirp spread spectrum technology that is becoming very popular for low-power wide-area networks, with high-density devices. This project discusses how to build a remote detection system prototype. An example of ...
• Bangla text sentiment analysis based on extended lexicon dictionary using supervised machine learning and deep learning algorithms 

  Bhowmik, Nitish Ranjan (Institute of Information and Communication Technology (IICT), 2022-02-19)

  With the Internet’s social digital content proliferation, sentiment analysis (SA) has gained a wide research interest in natural language processing (NLP). A little significant research has beendone intheBanglalanguagedo ...
• Performance analysis of handover in cellular network with small scale radio network. 

  Saha, Prafulla kumar (Institute of Information and Communication Technology (IICT), 2018-03-31)

  Integration of ad hoc mode into cellular system has enhanced the cellular communication in many ways.But for network designers, many challenges has aroused due to this merging of two types of networks.As ad hoc link is ...
• Development of a low cost customized attendance management system for a school 

  Hadiul, Islam. (Institute of Information and Communication Technology (IICT), 2023-04-15)

  This project is designed to automate the attendance of students and employees by fingerprintwhich is more authentic and reliable. Users are able to monitor attendance of students andemployees. It will eliminate the problem ...
• Design of a low cost embedded system for a parking management in a smart city 

  Nayemor Rahman, Md. (Institute of Information and Communication Technology (IICT), 2022-12-20)

  Modern smart city is facing numerous technological as well as administrative challenges in many frontsinvolving man and machines. One of these is the smart transportation system aided with cutting edgepublictransitmodesl ...
• Logistic regression based islanding detection for grid-connected inverter 

  Nasim, Ahmed (Institute of Information and Communication Technology (IICT), 2022-09-07)

  To address the global energy demand, alternative energy sources are used more frequently daily. Grid connected inverter (GCI) penetration into power networks has accelerated and is one of the essential components of the ...
• Optical properties prediction of negative dispersion-compensating photonic crystal fiber using machine learning 

  Ibrahim Khalil, Md. (Institute of Information and Communication Technology (IICT), 2023-05-15)

  Dispersion in optical fiber communication causes signal degradation as light pulses spread out over distance. Dispersion compensation techniques, such as dispersion- compensating fibers, fiber Bragg gratings, and chirped ...
• Analysis of supervised machine learning models for breast cancer predictions 

  Arman Hussain, Md. (Department of Institute of Information and Communication Technology,(IICT), BUET, 2022-03-27)

  Carcinoma is one of the scariest and frequently occurring cancers nowadays among fe- males. It affects nearly around ten percent of the females all over the world at some point of their lives. Although, the cure for this ...
• Detection of recycled field programmable gate arrays using clustering algorithm 

  Tarique, Tanvir Ahmad (Institute of Information and Communication Technology (IICT), 2022-11-28)

  Field Programmable Gate Array (FPGA) is a popular electronic component used in many applications due to their cost-effectiveness, competitive performance, and power efficiency. However, some third-party vendors in the ...
• Development of a low cost embedded system for fire detection in a residential house 

  HOSSAIN, MD.TURAB (Institute of Information and Communication Technology (IICT), 2022-11-30)

  This project describes Development of a Low-Cost Embedded System for Fire Detection in a Residential House that can monitor an industry, building, and home. Plays an important role in maintaining and monitoring the safe ...
• FPGA based automated glaucoma detection from retinal fundus image 

  Islam, Rezaul (Institute of Information and Communication Technology (IICT), 2022-12-21)

  Glaucoma is an autistic eye disease that causes irreversible blindness worldwide. Every day, a huge number of people in the world lose their vision permanently due to glaucoma. In 2020, about 80 million people had glaucoma ...

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