http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/954 Volume 13, Number 2, December 2025 2026-04-24T10:31:59Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1072 A Neural Network Based Software Defect Prediction Approach Using SMOTE and Noise Filtering-CLNI Ashfaque, Ahmmed Bin; Sattar, Abdus; Jahan, Hosney; Akhtaruzzaman, M.; Nur, Fernaz Narin Software defects can cause significant loss and system failures in software development life cycle. Software Defect Prediction (SDP) is a vital step for ensuring the quality of software. Till now, a number of machine learning models have been proposed to predict potential defects and make the software more reliable. However, SDP models suffer from the problem of imbalanced dataset, resulting in poor prediction accuracy. To mitigate this, issue several data balancing techniques, i.e., over sampling, under sampling etc. have been proposed to balance the dataset. In some cases, the data balancing methods may further introduce noisy and mislabeled samples in the dataset. To deal with these issues, in this paper, we propose a neural network based approach that combines the oversampling technique Synthetic Minority Oversampling Technique (SMOTE) with the noise filtering technique Class Level Noise Identification (CLNI). Here, we applied three different CLNI methods which are Edited Nearest Neighbor (ENN), Repeated ENN (RENN) and All-KNN. Our aim is to make the dataset clean, balanced and efficient by combining SMOTE with CLNI. In addition, we applied a number of feature selection methods to identify the most important features, further contributing towards achieving better prediction accuracy. To evaluate the effectiveness of the proposed model, we conduct experiments on several benchmark datasets (MC1, PC1, PC2, PC3 and PC4) obtained from NASA MDP and (ML, LC and JDT) AEEEM repository. The experimental results have been evaluated and compared in terms of accuracy, precision, recall and AUC-ROC curve. The experimental results demonstrated that our proposed approach has achieved up to 98% accuracy and outperformed state-of- the-art approaches. 2025-12-30T00:00:00Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1071 The Dera Heterotopia: Meaning of Home for the Hijra Community Sameen, S.; Hossain, A. R.; Jerin, F.; Shreya, S.; Anjum, S. A.; Mumtarin, A.; Tabassum, T. The hijra community, representative of third gender individuals, is one of the most deprived communities in Bangladesh. Not conforming to traditional gender binary identities, they do not embrace the conventional notion of family and home. In this context, the study is exploratory research that delves into the realm of hijras, observing their relationship with their dwelling spaces and seeking how they negotiate the meaning of home. By examining hijra dwellings called deras, it aims to understand the dynamics of the hijra lifestyle and ultimately uphold their lived experiences against a dehumanized image of them in the context of Dhaka. For this purpose, the study employs a qualitative approach, drawing on everyday narratives gathered through interviews, group discussions, and observations. Applying Rapoport’s framework for linking the built environment with culture and lifestyle, the paper uncovers the meanings of dera at three levels: at the lower level, it finds that dera provides everyday shelter and a new purpose to these outcasts against the hostile world. At mid-level, the deras become a locus of fostering social relations and a spatial manifestation of hijra existence. And finally, the higher-level meanings reveal a constant juxtaposition of loss and belonging, colourful appearances with feelings of estrangement, and initiation of hijra life with the constant desire for a normal one, making dera a ‘heterotopic space’ a manifestation of the otherness, as per Foucault’s concept of another place. The findings of the paper deepen our understanding of how individuals navigate the oppression of stigma and marginality while actively shaping and transforming their identities in adverse circumstances. It uncovers important relationships between (marginal) community and (housing) environment that can contribute to potential future research within the discourse of spatial justice. The study, by upholding marginal voices of hijra population around everyday space, advocates for their right to the city. 2025-12-30T00:00:00Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1070 Power Consumption Analysis of UAVs with Varying Payloads for Next Generation Wireless Networks Ahmed, Saif; Islam Emon, Nimul Unmanned Aerial Vehicles (UAVs) are emerging as an important component for enhancing the coverage and capacity of next generation wireless networks. However, the use of UAVs is challenging because of crucial power management. The power management becomes more sophisticated for rotary-wing UAVs, the most commonly used ones, which require more energy as payload and flight actions increase. The current study investigates the energy consumption of UAVs with varied payloads during hovering and moving operations. The effects of payloads such as cameras, sensors, GPS modules, communication systems, and flight controllers on UAV power consumption are investigated in this study. It is very much necessary to comprehend these energy dynamics for optimal UAV design and maximizing operational effectiveness. Key findings show how payload configuration and flying conditions affect energy requirements. Two regression-based empirical mathematical models for hovering and moving conditions representing the relationship between the power consumption of UAV and its weight with payloads are proposed. This rigorous analysis of power consumption of UAV provides valuable insights into optimizing UAV design and operation in next-generation wireless networks. The findings of the work, including the proposed mathematical models, are expected to help researchers and engineers develop more energy- efficient UAVs, resulting in extended flight periods and improved operational reliability. 2025-12-30T00:00:00Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1069 Impact of Inverter Control and Solar Photovoltaic Integration on Small Signal Stability Augmented with Battery: Modal Analysis Approach Hasan, Md. Mahadi; Hasan Emon, Md. Imranul; Monir, Hasan; Kabir, Md Ahsan The increasing penetration of renewable energy sources, particularly solar photovoltaic (PV), poses significant challenges to grid stability due to the reduction in system inertia. This paper evaluates three inverter control strategies—𝑽𝒂𝒄 − 𝚽, 𝑽𝒂𝒄 − 𝐏, and 𝑷 − 𝑸 —using modal analysis and participation matrix evaluation to identify the most effective approach for enhancing small signal stability. Among these, the 𝑷 − 𝑸 control strategy emerges as the best-performing technique, with a notable eigenvalue improvement from −𝟎. 𝟔𝟐 + 𝟗. 𝟔𝟎𝟕𝒊 (𝑽𝒂𝒄 − 𝚽) to −𝟏𝟒. 𝟕𝟗 + 𝟎. 𝟔𝟔𝟖𝒊, achieving an exceptionally high damping ratio of 0.998. The participation matrix analysis highlights the dominance of active power control in stabilizing critical modes, further validating the superior performance of 𝑷 − 𝑸 control. Moreover, the impact of solar PV has been demonstrated and enhancement of system stability utilizing Battery Energy Storage System (BESS) has been shown in this paper. 2025-12-30T00:00:00Z