Results 101 to 110 of about 3,188,697 (327)

Biodegradable, Humidity‐Insensitive Mask‐Integrated E‐Nose for Sustainable and Non‐Invasive Continuous Breath Analysis

Advanced Functional Materials, EarlyView.
This study introduces a paper‐based biodegradable, humidity‐insensitive e‐nose for real‐time breath analysis, addressing challenges in existing technologies such as humidity interference, high costs, and environmental impact. Featuring hydrophobic polymer coatings, these sensors reliably detect VOCs even in high‐moisture environments.
Indrajit Mondal, Adan Zoabi, Hossam Haick   +2 more
wiley   +1 more source

MOESM3 of The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

, 2020
Additional file 3 Use case B2 — Balanced dataset. (a) Barplot representing accuracy, F1 score, and normalized Matthews correlation coefficient (normMCC = (MCC + 1) / 2), all in the [0, 1] interval, where 0 is the worst possible score and 1 is the best possible score, applied to the Use case B2 balanced dataset.
Chicco, Davide, Jurman, Giuseppe
openaire   +1 more source

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source

Comparison of The Accuracy of K-Nearest Neighbor and Roberta Algorithm in Analysis of Sentiment on Miawaug Youtube Channel Comments

Teknika
This study aims to evaluate the accuracy of two algorithms, K-Nearest Neighbor (KNN) and Robustly Optimized BERT Approach (RoBERTa), in analyzing sentiment within comments on MiawAug’s YouTube channel.
Fachrudin Okta Rahmawan, Hanafi, Windha Mega Pradnya Dhuita   +2 more
doaj   +1 more source

MOESM1 of The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

, 2020
Additional file 1 Use case A2 — Positively imbalanced dataset. (a) Barplot representing accuracy, F1 score, and normalized Matthews correlation coefficient (normMCC = (MCC + 1) / 2), all in the [0, 1] interval, where 0 is the worst possible score and 1 is the best possible score, applied to the Use case A2 positively imbalanced dataset. (b) Pie chart
Chicco, Davide, Jurman, Giuseppe
openaire   +1 more source

Detection of Coronavirus Disease (COVID-19) Based on Deep Features

, 2020
The detection of coronavirus (COVID-19) is now a critical task for the medical practitioner. The coronavirus spread so quickly between people and approaches 100,000 people worldwide. In this consequence, it is very much essential to identify the infected
Dr. Prabira Kumar Sethy, S. Behera
semanticscholar   +1 more source

“Writing” Crystal Phases in Amorphous Calcium Carbonate via Laser‐Induced Patterned Transformations

Advanced Functional Materials, EarlyView.
Laser‐induced crystallization enabling the patterning of amorphous calcium carbonate into various distinct phases is introduced. This approach provides spatial control over polymorph selection, both crystalline and amorphous, inspired by biomineralization pathways.
Hadar Shaked, Iryna Polishchuk, Niv Ben‐Arie, Daniela Dobrynin, Javier Gainza, Alexander Katsman, Boaz Pokroy   +6 more
wiley   +1 more source

Evaluation of artificial intelligence for detecting periapical lesions on panoramic radiographs [PDF]

Balkan Journal of Dental Medicine
Background/Aim: The aim of this study is to evaluate the function of diagnostic computer software designed for the detection of periapical lesions on panoramic images with deep learning methods.
Ünal Suay Yağmur, Keser Gaye, Namdar Pekiner Filiz, Yildızbaş Zeynep, Kurt Mehmet Ali   +4 more
doaj   +1 more source

Analyze informant-based questionnaire for the early diagnosis of senile dementia using deep learning [PDF]

, 2019
OBJECTIVE: This paper proposes a multiclass deep learning method for the classification of dementia using an informant-based questionnaire. METHODS: A deep neural network classification model based on Keras framework is proposed in this paper.
Chiu, Pai-Yi, He, Zhuo, Hung, Guang-Uei, Li, Xiaonan, Mcgonigle, Daniel, Tang, Haipeng, Zhang, Chaoyang, Zhou, Weihua, Zhu, Fubao   +8 more
core   +2 more sources

MOESM5 of The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

, 2020
Additional file 5 Use case C2 — Negatively imbalanced dataset. (a) Barplot representing accuracy, F1 score, and normalized Matthews correlation coefficient (normMCC = (MCC + 1) / 2), all in the [0, 1] interval, where 0 is the worst possible score and 1 is the best possible score, applied to the Use case C2 negatively imbalanced dataset. (b) Pie chart
Chicco, Davide, Jurman, Giuseppe
openaire   +1 more source