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The Role of a Facilitator in Co-Design Applications for Exploratory Analysis in Domains of High Complexity: The Case of MAHiCGO
Published 2021“…</p><h3>Methods</h3><p dir="ltr">We formed a design team comprising a visualization expert, a Human Computer Interaction (HCI) researcher, bioinformatics domain experts, and the Principal Investigator (PI) as a `facilitator' filling the communication gap between them. …”
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Classification and segmentation of kidney MRI images for chronic kidney disease detection
Published 2024“…Utilizing the Zenodo dataset comprising 1299 kidney MRI images from 100 T2-weighted abdomen MRI scans, our investigation reveals that Vision Transformers (ViT) based model EfficientNet_b1 exhibited superior performance compared to other models. …”
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Mitigating the impact of cultural diversity on the innovation process in the private sector in Dubai
Published 2017“…The workforce therefore is comprised of people with different backgrounds and hence an understanding for the variety of cultures is important for managers and entrepreneurs in private sectors as noted by the write (2016). …”
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Artificial Intelligence–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review
Published 2023“…<h3>Background</h3><p dir="ltr">Transformer-based models are gaining popularity in medical imaging and cancer imaging applications. Many recent studies have demonstrated the use of transformer-based models for brain cancer imaging applications such as diagnosis and tumor segmentation.…”
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Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array
Published 2022“…After that, the scattering parameters are collected, analyzed, and then processed by the Iteratively Corrected delay-multiply-and-sum algorithm to detect and reconstruct the brain tumor images. …”
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IDRISI-RE: A generalizable dataset with benchmarks for location mention recognition on disaster tweets
Published 2023“…We show that models trained on IDRISI-RE better tackle domain shifts and are less susceptible to change in geographical areas.…”
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Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection
Published 2024“…In this paper, we present robust waste image classification and object detection studies using deep learning models, utilizing 28 distinct recyclable categories of waste images comprising a total of 10,406 images. …”
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Deep learning and vision transformers-based framework for breast cancer and subtype identification
Published 2025“…This study utilizes a deep learning framework for advanced, automatic breast cancer detection and subtype identification. The framework comprises three key components: detecting cancerous patches, identifying cancer subtypes (ductal and lobular carcinoma), and predicting patient-level outcomes from whole slide images (WSI). …”
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Enhancing Arabic Offensive Tweet Classification: An Ensemble Approach Integrating AraBERT, Neural Networks, and LSTM Models
Published 2023“…The implications of this research extend to diverse domains and stakeholders, encompassing decision makers, developers, and policy makers. …”
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Correcting Susceptibility Artifacts of MRI Sensors in Brain Scanning: A 3D Anatomy-Guided Deep Learning Approach
Published 2021“…The fast inference speed (less than a second) of TS-Net makes real-time SAC during EPI image acquisition feasible and accelerates the medical image-processing pipelines.…”
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Long non-coding RNA and RNA-binding protein interactions in cancer: Experimental and machine learning approaches
Published 2022“…<p>Understanding the complex and specific roles played by non-coding RNAs (ncRNAs), which comprise the bulk of the genome, is important for understanding virtually every hallmark of cancer. …”
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A Deep Learning Framework for the Classification of Brazilian Coins
Published 2023“…Our framework employs a multi-stage approach for coin classification. First, a pre-processing module handles coin localization and image enhancement to mitigate variations in lighting and background. …”
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A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection
Published 2022“…To address these issues, the proposed research study presents a hybrid deep learning model for the accurate diagnosing of Delta-type COVID-19 infection using X-ray images. This hybrid model comprises visual geometry group 16 (VGG16) and a support vector machine (SVM), where the VGG16 is accustomed to the identification process, while the SVM is used for the severity-based analysis of the infected people. …”
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Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters
Published 2023“…It reports the first “Handwriting Character Dataset” of Chakma containing 47,000 images of 47 characters of Chakma language using the app. …”
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Impact of pre and post-perovskite infiltration treatments on monolithic perovskite solar cell performance
Published 2024“…<p dir="ltr">Carbon-based monolithic perovskite solar cells (mPSCs) represent an enticing frontier in the domain of organic–inorganic hybrid solar cells, capturing substantial research attention due to their cost effectiveness and straightforward fabrication process. …”
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An ancestral 10-bp repeat expansion in <i>VWA1</i> causes recessive hereditary motor neuropathy
Published 2021“…<div><p>The extracellular matrix comprises a network of macromolecules such as collagens, proteoglycans and glycoproteins. …”
