Isomar Lima da Silva
Dados Biográficos
| ID | 8569473 |
|---|---|
| NOME | Isomar Lima da Silva |
| PRENOMES | Isomar Lima |
| SOBRENOME | da Silva |
| ASSINATURA | DA SILVA I L |
| AFILIAÇÕES | Instituto de Soldadura e Qualidade |
| ORCID | 0000-0002-3743-6153 |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| OBRAS COMO AUTOR | 3 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2025 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Graphene synthesis via ultrasonic exfoliation
Graphene, a single layer of carbon atoms in a hexagonal lattice, possesses exceptional electrical, thermal, and mechanical properties, making it highly promising for various technologies. This study focuses on optimizing liquid-phase exfoliation (LPE), a top-down method valued for its versatility and potential for scalable production of high-quality graphene. The research found that the duration of ultrasonic sonication is a critical factor. Perf…
Computer vision in industry
The growing demand for operational efficiency and quality control in Industry 4.0 has driven the adoption of intelligent computer vision systems. This study aims to develop and optimize advanced computer vision algorithms for the detection and classification of cosmetic defects, defined as visual imperfections that affect the aesthetic quality of products. The methodology combines convolutional neural networks, deep learning models, and advanced …
Application of deep neural networks in the early detection of cervical cancer in digitized cytopathological exams
This study evaluates the application of artificial intelligence (AI) in cervical cancer screening, based on the analysis of 2,383 digitized Pap smear images. These images, sourced from 80 clinical cases in municipalities of Amazonas, Brazil, were meticulously acquired using optical microscopes equipped with digital cameras, and subsequently validated for clarity and detail. Each image underwent a rigorous manual annotation process by researchers …
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Graphene synthesis via ultrasonic exfoliation
Graphene, a single layer of carbon atoms in a hexagonal lattice, possesses exceptional electrical, thermal, and mechanical properties, making it highly promising for various technologies. This study focuses on optimizing liquid-phase exfoliation (LPE), a top-down method valued for its versatility and potential for scalable production of high-quality graphene. The research found that the duration of ultrasonic sonication is a critical factor. Perf…
Computer vision in industry
The growing demand for operational efficiency and quality control in Industry 4.0 has driven the adoption of intelligent computer vision systems. This study aims to develop and optimize advanced computer vision algorithms for the detection and classification of cosmetic defects, defined as visual imperfections that affect the aesthetic quality of products. The methodology combines convolutional neural networks, deep learning models, and advanced …
Application of deep neural networks in the early detection of cervical cancer in digitized cytopathological exams
This study evaluates the application of artificial intelligence (AI) in cervical cancer screening, based on the analysis of 2,383 digitized Pap smear images. These images, sourced from 80 clinical cases in municipalities of Amazonas, Brazil, were meticulously acquired using optical microscopes equipped with digital cameras, and subsequently validated for clarity and detail. Each image underwent a rigorous manual annotation process by researchers …
Artificial Intelligence (2 obras) · Computer Science (2 obras) · 3D Surveying and Cultural Heritage (1 obra) · AI in cancer detection (1 obra) · Artificial neural network (1 obra) · Cancer (1 obra) · Carbon Nanotubes in Composites (1 obra) · Cervical cancer (1 obra) · Cervical Cancer and HPV Research (1 obra) · Computer vision (1 obra)