Anika Tabassum
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View article: Design and Comparative Analysis of Single-Phase and Three-Phase Double-Stage Inverters for Photovoltaic Systems
Design and Comparative Analysis of Single-Phase and Three-Phase Double-Stage Inverters for Photovoltaic Systems Open
Double-stage inverters are critical for efficient photovoltaic (PV) integration, combining DC-DC conversion and DC-AC inversion to maximize energy harvest and grid compliance. This research presents a rigorous design, simulation, and hardw…
View article: A Case Report on Disseminated Mycobacterium Avium Complex Infection in an Otherwise Healthy Individual - A Diagnostic Challenge
A Case Report on Disseminated Mycobacterium Avium Complex Infection in an Otherwise Healthy Individual - A Diagnostic Challenge Open
View article: An Analytical Study of Influencing Factors in Private University Enrollment in Bangladesh
An Analytical Study of Influencing Factors in Private University Enrollment in Bangladesh Open
View article: Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive Manufacturing
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive Manufacturing Open
Industrial X-ray computed tomography (XCT) is a powerful tool for non-destructive characterization of materials and manufactured components. XCT commonly accompanied by advanced image analysis and computer vision algorithms to extract rele…
View article: Li-ion Battery Material phase prediction through Hierarchical Curriculum Learning
Li-ion Battery Material phase prediction through Hierarchical Curriculum Learning Open
Li-ion Batteries (LIB), one of the most efficient energy storage devices, are widely adopted in many industrial applications. Imaging data of these battery electrodes obtained from X-ray tomography can explain the distribution of material …
View article: Analysis of Historical Power Outages of the United States and the National Risk Index
Analysis of Historical Power Outages of the United States and the National Risk Index Open
Several works have been documented in the literature to study the societal effect of power outages and to analyze their correlation with the Social Vulnerability Index (SVI). However, the relationship between National Risk Index (NRI) and …
View article: Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning
Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning Open
With significant improvements in large-scale simulations of brain models, there is a growing need to develop tools for rapid analysis and interpreting the simulation results. In this work, we explore the potential of sequential deep learni…
View article: Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation Open
Deep learning architectures have achieved state-of-the-art (SOTA) performance on computer vision tasks such as object detection and image segmentation. This may be attributed to the use of over-parameterized, monolithic deep learning archi…
View article: Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation Open
Deep learning architectures have achieved state-of-the-art (SOTA) performance on computer vision tasks such as object detection and image segmentation. This may be attributed to the use of over-parameterized, monolithic deep learning archi…
View article: Knowledge Graph Embedding using Large Language Models for COVID-19
Knowledge Graph Embedding using Large Language Models for COVID-19 Open
CoVID-19 (cord19) open data source for training knowledge graph with LLM
View article: Quantifying the Power System Resilience of the US Power Grid Through Weather and Power Outage Data Mapping
Quantifying the Power System Resilience of the US Power Grid Through Weather and Power Outage Data Mapping Open
Recent increases in extreme weather events such as severe thunderstorms, floods, and hurricanes are leading to destruction in power system equipment (transmission and distribution poles and lines, substations, power plants, etc.) and are c…
View article: Attention for Causal Relationship Discovery from Biological Neural Dynamics
Attention for Causal Relationship Discovery from Biological Neural Dynamics Open
This paper explores the potential of the transformer models for learning Granger causality in networks with complex nonlinear dynamics at every node, as in neurobiological and biophysical networks. Our study primarily focuses on a proof-of…
View article: systematic literature review on untargeted model poisoning attacks and defense mechanisms in federated learning
systematic literature review on untargeted model poisoning attacks and defense mechanisms in federated learning Open
In the past few years, Federated Learning has offered an optimistic solution to the privacy concerns of users who use different Machine Learning Models. But there are risks of exploiting the models by inside and outside adversaries. To pre…
View article: Software Evolution of Next.js and Angular
Software Evolution of Next.js and Angular Open
Software evolution is the process of updating a software from it's initial phase incorporating updates taken from the users.E-type software takes feedback and requirements from the users and updates the software accordingly.In the 70's, Le…
View article: Predicting Power Outage During Extreme Weather Events with EAGLE-I and NWS Datasets
Predicting Power Outage During Extreme Weather Events with EAGLE-I and NWS Datasets Open
Extreme weather events, such as hurricanes, severe thunderstorms, and floods can significantly disrupt power grid systems, leading to electrical outages that result in inconvenience, economic losses, and life-threatening situations. There …
View article: ECG Heartbeat Classification Using Multimodal Fusion
ECG Heartbeat Classification Using Multimodal Fusion Open
Electrocardiogram (ECG) is an authoritative source to diagnose and counter critical cardiovascular syndromes such as arrhythmia and myocardial infarction (MI). Current machine learning techniques either depend on manually extracted feature…
View article: ECG Heartbeat Classification Using Multimodal Fusion
ECG Heartbeat Classification Using Multimodal Fusion Open
Electrocardiogram (ECG) is an authoritative source to diagnose and counter critical cardiovascular syndromes such as arrhythmia and myocardial infarction (MI). Current machine learning techniques either depend on manually extracted feature…
View article: An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks Open
Screening mammograms is the gold standard for detecting breast cancer early. While a good amount of work has been performed on mammography image classification, especially with deep neural networks, there has not been much exploration into…
View article: ECG Heartbeat Classification Using Multimodal Fusion
ECG Heartbeat Classification Using Multimodal Fusion Open
Electrocardiogram (ECG) is an authoritative source to diagnose and counter critical cardiovascular syndromes such as arrhythmia and myocardial infarction (MI). Current machine learning techniques either depend on manually extracted feature…
View article: An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks Open
Screening mammograms is the gold standard for detecting breast cancer early. While a good amount of work has been performed on mammography image classification, especially with deep neural networks, there has not been much exploration into…
View article: ECG Heartbeat Classification Using Multimodal Fusion
ECG Heartbeat Classification Using Multimodal Fusion Open
Electrocardiogram (ECG) is an authoritative source to diagnose and counter critical cardiovascular syndromes such as arrhythmia and myocardial infarction (MI). Current machine learning techniques either depend on manually extracted feature…
View article: An Enhanced Variational AutoEncoder Approach for the Purpose of Deblurring Bangla License Plate Images
An Enhanced Variational AutoEncoder Approach for the Purpose of Deblurring Bangla License Plate Images Open
Automated License Plate Detection and Recognition (ALPDR) is a well-studied area of computer vision and a crucial activity in a variety of applications, including surveillance, law enforcement, and traffic management. Such a system plays a…
View article: Author Index
Author Index Open
View article: MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning
MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning Open
Li-ion Batteries (LIB), one of the most efficient energy storage devices, are used extensively in many industrial applications. These batteries consist of electrodes that are put together with heterogeneous material compositions. Imaging d…
View article: Snapshot Multispectral Imaging Using a Diffractive Optical Network
Snapshot Multispectral Imaging Using a Diffractive Optical Network Open
Multispectral imaging has been used for numerous applications in e.g., environmental monitoring, aerospace, defense, and biomedicine. Here, we present a diffractive optical network-based multispectral imaging system trained using deep lear…
View article: Diffractive interconnects: all-optical permutation operation using diffractive networks
Diffractive interconnects: all-optical permutation operation using diffractive networks Open
Permutation matrices form an important computational building block frequently used in various fields including, e.g., communications, information security, and data processing. Optical implementation of permutation operators with relative…
View article: Fake News Detection: Covid-19 Perspective
Fake News Detection: Covid-19 Perspective Open
The development of social media has contributed to a remarkable rise in the spread of fake news. Today people rely more on online news outlets. The chance of receiving fake news on an online platform is high. As we went through a pandemic …
View article: Super-resolution image display using diffractive decoders
Super-resolution image display using diffractive decoders Open
High-resolution synthesis/projection of images over a large field-of-view (FOV) is hindered by the restricted space-bandwidth-product (SBP) of wavefront modulators. We report a deep learning-enabled diffractive display design that is based…
View article: Efficient Contingency Analysis in Power Systems via Network Trigger Nodes
Efficient Contingency Analysis in Power Systems via Network Trigger Nodes Open
Modeling failure dynamics within a power system is a complex and challenging process due to multiple inter-dependencies and convoluted inter-domain relationships. Subject matter experts (SMEs) are interested in understanding these failure …