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ML-SIM
Structured illumination microscopy (SIM) has become an important technique for optical super-resolution imaging because it allows a doubling of image resolution at speeds compatible with live-cell imaging. However, the...
Published by: Biomedical optics express
ML-SIM
Structured illumination microscopy (SIM) has become an important technique for
optical super-resolution imaging because it allows a doubling of image resolution at speeds
compatible with live-cell imaging. However, the...
ML-EC2
A multi-label variant of email classification named ML-EC2 (multi-label email classification using clustering) has been proposed in this work. ML-EC2 is a hybrid algorithm based on text clustering, text classification...
Published by: IGI Global Scientific Publishing
Assessing the Effectiveness of Textual Recommendations in KoopaML
Pablo Antúnez-Muiños, Pablo Pérez-Sánchez, Andrea Vázquez-Ingelmo, Francisco García-Peñalvo, Antonio Sánchez-Puente, Víctor Vicente-Palacios, Alicia García-Holgado, P. Dorado-Díaz, Jesús Sampedro-Gómez, Ignacio Cruz-González, Pedro Sánchez
Jan 01, 2024
Artificial intelligence (AI) integration, notably in healthcare, has been significant, yet effective implementation in critical areas requires expertise. KoopaML, a previously developed visual platform, aims at bridging this...
Published by: IGI Global Scientific Publishing
A Proposal for Research on the Application of AI/ML in ITPM
According to the market research firm Tractica, the global artificial intelligence software market is forecast to grow to 126 billion by 2025. Additionally, the Gartner group predicts that during the same time as much as 80% of...
Published by: IGI Global Scientific Publishing
A ML framework to predict permeability of highly porous media based on PSD
Abstract
Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to...
A ML framework to predict permeability of highly porous media based on PSD
Abstract
Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to...
A ML framework to predict permeability of highly porous media based on PSD
Abstract: Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to account for highly porous media with dilated...
Breed-related expression patterns of Ki67, γH2AX, and p21 during ageing in the canine liver.
Cellular senescence is a molecular hallmark of ageing that is associated with multiple pathologies, and DNA damage marker γH2AX, together with cell cycle inhibitor p21, have been used as senescence markers in multiple species...
T Lymphocytes in Histiocytic Sarcomas of Flat-Coated Retriever Dogs.
Flat-Coated Retriever dogs are predisposed to the development of histiocytic sarcoma (HS), a poorly differentiated, highly malignant neoplasm. The authors have previously documented a significant lymphocytic infiltrate in such...
434 MHz Environmentally Safe Monitoring Schema for Vehicular Network by AI-ML-IoT Technologies
Connected vehicular tracking schema operated in environmentally safe radio frequency of 434 MHz, artificial intelligence, and machine learning and IoT technology (CVT-AIML-IoT) is cost effective and secured tracking or device...
Published by: IGI Global Scientific Publishing
The ultrasonographic appearance of renal medullary striations and their association with renal disease and renal histopathology in domestic cats.
Medullary striations (MS) have been anecdotally observed on ultrasound of feline kidneys; however, their significance is unknown. Aims of this retrospective, case control, pilot study were to describe the appearance, prevalence...
Correlation between cytologic features and histologic grades in cutaneous and subcutaneous soft tissue sarcomas in dogs-A pilot study.
Currently, canine soft tissue sarcoma (STS) grading is based on histopathology. In humans, several studies have demonstrated concordance between cytologic grading systems for STS and histologic grade. The aim of this study was...
Validation of a commercial 1,2-o-dilauryl-rac-glycero glutaric acid-(6'-methylresorufin) ester lipase assay for diagnosis of canine pancreatitis.
Emily L Goodband, Gonçalo Serrano, Fernando Constantino-Casas, Joy Archer, Penny J Watson, Tim L Williams
Apr 19, 2018
The objectives of this study were fourfold: technical validation of a commercial canine 1,2-o-dilauryl-rac-glycero glutaric acid-(6'-methylresorufin) ester (DGGR) lipase assay, to calculate a reference interval for DGGR lipase...
Breed-related expression patterns of Ki67, γH2AX, and p21 during ageing in the canine liver
Abstract: Cellular senescence is a molecular hallmark of ageing that is associated with multiple pathologies, and DNA damage marker γH2AX, together with cell cycle inhibitor p21, have been used as senescence markers in multiple...
Integrating Unsupervised and Supervised ML Models for Analysis of Synthetic Data From VAE, GAN, and Clustering of Variables
Lakshmi Prayaga, Krishna Devulapalli, Chandra Prayaga, Aaron Wade, Gopi Reddy, Sri Pola
Jan 01, 2024
Clustering of variables is a specialized approach for dimensionality reduction. This strategy is evaluated for data reduction with a Kaggle diabetes dataset. Since the original dataset is small, Generative Adversarial Networks...
Published by: IGI Global Scientific Publishing
Hybrid Fly Ash-Based Geopolymeric Foams
Giuseppina roviello, Laura Ricciotti, Antonio Jacopo Molino, Constantino Menna, Claudio Ferone, Domenico Asprone, Raffaele Cioffi, Veronica Ferrandiz-Mas, Pietro Russo, Oreste Tarallo
Jun 29, 2020
This research investigates the preparation and characterization of new organic–inorganic geopolymeric foams obtained by simultaneously reacting coal fly ash and an alkali silicate solution with polysiloxane oligomers. Foaming...
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