Browsing by Author "Basri, Rabeya"

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Bangla Handwritten Digit Recognition Using Deep Convolutional Neural Network
(ACM International Conference Proceeding Series, 2020) Basri, Rabeya; Haque, Mohammad Reduanul; Akter, Morium; Uddin, Mohammad Shorif
Handwritten Bangla digit recognition is one of the most challenging computer vision problems due to its diverse shapes and writing style. Recently deep learning based convolutional neural network known as deep CNN finds wide-spread applications in recognizing different objects due to its high accuracy. This paper investigates the performance of some state-of-the-art deep CNN techniques for the recognition of handwritten digits. It considers four deep CNN architectures, such as AlexNet, MobileNet, GoogLeNet (Inception V3), and CapsuleNet models. These four deep CNNs have been experimented on a large, unbiased and highly augmented standard dataset, NumtaDB and confirmed that the AlexNet showed the best performance on the basis of accuracy and computation time.
Career Prediction with Analysis of Influential Factors Using Data Mining in the Context of Bangladesh
(Springer, 2020-12-17) Biswas, Al Amin; Majumder, Anup; Mia, Md. Jueal; Basri, Rabeya; Zulfiker, Md. Sabab
Nowadays, the job market has become more competitive due to the advancement of higher educations. In Bangladesh, an individual selects three types of careers namely Government Job, Private Job, and Business after the completion of their graduation. Selecting a specific career is affected by many factors. These factors can be personal as well as academic. In this research, we have done career predictions and analyze several factors behind this. To accomplish the work, we have analyzed several academic and personal factors. Here, we have applied several data mining techniques for experimentation and several performance evaluation metrics to evaluate our work. Finally, we found that Part classifier outperforms the other techniques.
Career Prediction with Analysis of Influential Factors Using Data Mining In the Context of Bangladesh
(Scopus, 2021) Biswas, Al Amin; Majumder, Anup; Mia, Md. Jueal; Basri, Rabeya; Zulfiker, Md. Sabab
Nowadays, the job market has become more competitive due to the advancement of higher educations. In Bangladesh, an individual selects three types of careers namely Government Job, Private Job, and Business after the completion of their graduation. Selecting a specific career is affected by many factors. These factors can be personal as well as academic. In this research, we have done career predictions and analyze several factors behind this. To accomplish the work, we have analyzed several academic and personal factors. Here, we have applied several data mining techniques for experimentation and several performance evaluation metrics to evaluate our work. Finally, we found that Part classifier outperforms the other techniques.
Hotel Management System
(Daffodil International University, 2019-09-21) Basri, Rabeya
This project is on “Hotel Management System”. The purpose of my work is to develop a platform where any Hotel can manage their customer and general users can manage several staff by contracting this software. The aim of the Project is ensuring the effective and efficient Hotel management system as well as providing related flexible customer services. This system eliminates the Paper based work and give maximum benefit both parties (the customers and the hotel owner). It is a desktop-based platform where client can book their room. The proposed system is being developed following SSADM methodology for its inconvenience approach. After implementation of all functions, the system is tested in different stages and it works successfully as a prototype.
Information asymmetry, ESG disclosure practices and performance of Asian islamic banks: evolution, convergence, and governance moderators
(BRAC University, 2025-08) Basri, Rabeya; Mamun, Syed A.
Environmental, Social, and Governance (ESG) disclosure has become a strategic imperative for banks worldwide, yet little is known about how Islamic banks, rooted in Shariah principles of ethical governance and social justice, navigate this landscape. This study examines 30 independent fully fledged Islamic, publicly listed banks across Asian countries for the years 2018 and 2023 to (1) trace the evolution and convergence of ESG disclosure and (2) assess its impact on financial performance, market performance and risk, under varying governance structures. The study develops an Environmental, Social, and Governance disclosure index (ESGDI) of 44 items for each sample Islamic bank to assess its level of ESG practices from their annual reports and deployed paired t‑tests, ANOVA/Kruskal-Wallis, coefficient of variation analysis, and cross‑sectional OLS regressions with robust standard errors and interaction terms. Our findings reveal a marked increase in overall ESGDI from 0.46 in 2018 to 0.67 in 2023, with environmental scores rising most sharply (Δ=0.31) and governance scores remaining highest (0.57→0.73). Convergence metrics indicate a significant reduction in score dispersion post‑COVID. Regression results show that higher ESG disclosure is positively associated with profitability (ROA, ROE) and market valuation (Tobin’s Q), though its link to capital adequacy (CAR) is weaker. Crucially, board independence and institutional ownership strengthen the ESG-performance relationship, while gender diversity on boards amplifies the effect on return on equity. This study contributes to ESG and Islamic finance scholarship by disaggregating disclosure dimensions, documenting convergence trends, and elucidating governance contingencies. Practically, it offers regulators and bank executives actionable insights for developing Shariah‑aligned ESG frameworks and governance policies that maximize the value of sustainability reporting.