Optimized machine learning techniques enable prediction of organic dyes photophysical properties: Absorption wavelengths, emission wavelengths, and quantum …
Applications of organic dyes, ranging from basic research to industry, are functions of their
photophysical properties. Two important aspects—(1) knowledge of the photophysical …
photophysical properties. Two important aspects—(1) knowledge of the photophysical …
Liver Disease Prediction Using Different Machine Learning Algorithms
The liver is a vital organ in the human body since it is in charge of metabolism, detoxification,
storage, digestion, blood sugar regulation, and immunological function. As a result, any …
storage, digestion, blood sugar regulation, and immunological function. As a result, any …
Absorption and emission maxima prediction of fluorescent organic materials using optimized neural network models
KD Mahato - IOP Conference Series: Materials Science and …, 2024 - iopscience.iop.org
The aim of the study is to predict the absorption and emission maxima from the given
dataset, which consists of 3066 fluorescent organic materials. To fulfill this requirement, five …
dataset, which consists of 3066 fluorescent organic materials. To fulfill this requirement, five …
A Hybrid Approach for Happy Emotion Analysis through Partition and Voronoi-density based Clustering and DistilBERT
K Agrawal, HV Boggarapu… - 2024 IEEE 9th International …, 2024 - ieeexplore.ieee.org
In today's day and age, prioritizing the emotion of" Happiness" has become imperative. The
constant movement of life and the stress it brings, be it personal or professional, needs to be …
constant movement of life and the stress it brings, be it personal or professional, needs to be …
Stokes Shift Prediction of Fluorescent Organic Dyes Using Machine Learning Regression Techniques
KD Mahato - Available at SSRN 4667356, 2023 - papers.ssrn.com
Fluorescent organic dyes are extensively used in OLEDs, optoelectronics, sensing, light
harvesting, dye-sensitized solar cells, and biomedical imaging applications. Scientists have …
harvesting, dye-sensitized solar cells, and biomedical imaging applications. Scientists have …
Predicting Happiness Index Using Machine Learning
Happiness in its subjective form is difficult but important to measure. Various happiness
indicators are considered when attempting to quantify the level of happiness of countries in …
indicators are considered when attempting to quantify the level of happiness of countries in …
Heart Disease Prediction Using Different Boosting Models
Nowadays, heart disease (HD) is one of the leading causes of death. The detection of HD is
required at an early stage in order to diagnose it beforehand. The traditional method for the …
required at an early stage in order to diagnose it beforehand. The traditional method for the …
[PDF][PDF] Breast Cancer Prediction Using Oversampling Technique, Particle Swarm Optimization, and Fuzzy Logic
Background: Breast cancer is one of the most devastating and prominent reasons for
women's life loss on the planet today. Therefore, the development of tools for the early …
women's life loss on the planet today. Therefore, the development of tools for the early …