Publications by authors named "S Haw"
In recent days, Internet of Medical Things (IoMT) and Deep Learning (DL) techniques are broadly used in medical data processing in decision-making. A lung tumour, one of the most dangerous medical diseases, requires early diagnosis with a higher precision rate. With that concern, this work aims to develop an Integrated Model (IM- LTS) for Lung Tumor Segmentation using Neural Networks (NN) and the Internet of Medical Things (IoMT).
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- Diatomic catalysts (DACs) leverage the interactions between adjacent metal atoms to enhance the properties of single-atom catalysts (SACs), but their preparation and characterization pose challenges.
- A new carbon nitride-supported Pd-DAC was developed, achieving a remarkable 92% yield in photocatalytic water-donating transfer hydrogenation of 4-vinylphenol, outperforming both Pd single atoms (47%) and nanoparticles (1%).
- This study combines advanced imaging and machine learning to confirm the presence of dimeric Pd species and uses DFT simulations to explain the superior performance of Pd-DAC through improved substrate activation, offering a more sustainable alternative to traditional hydrogenation methods.
Electrochemical water splitting is a pivotal process for sustainable hydrogen energy production, relying on efficient hydrogen evolution reaction (HER) catalysts, particularly in acidic environments, where both high activity and durability are crucial. Despite the favorable kinetics of platinum (Pt)-based materials, their performance is hindered under harsh conditions, driving the search for alternatives. Due to their unique structural characteristic, Prussian blue analogs (PBAs) emerge as attractive candidates for designing efficient HER electrocatalysts.
View Article and Find Full Text PDFThis study aimed to assess the development and usability of the Visually Impaired Masseur Assistance Application (VIMAA) designed to respond to signs of danger or instances of sexual harassment experienced by Visually Impaired Masseurs (VIMs). It harmonizes Rapid Application Development (RAD) method and qualitative in-depth interviews. RAD was implemented with emphasis on four core stages: requirement identification, design workshop, construction, and implementation, while Qualitative in-depth interviews were conducted utilizing thematic analysis for usability testing.
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- The paper addresses the challenges faced by color-blind individuals due to their inability to perceive colors, impacting their daily activities.
- It proposes a system that uses advanced algorithms to recognize colors in clothing images while adjusting for lighting variations.
- The methodology includes converting RGB values to HSV, developing a web application with a machine learning model for color prediction, and providing color matching recommendations for better purchasing decisions.