Accelerating business growth with big data and artificial intelligence
Artificial Intelligence (AI) is considered to be the fourth industrial revolution. Artificial
Intelligence with the help of big data has transformed all industries around the world Artificial …
Intelligence with the help of big data has transformed all industries around the world Artificial …
Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques
Alzheimer's disease (AD) is considered as progressing brain disease, which can be slowed
down with the early detection and proper treatment by identifying the early symptoms …
down with the early detection and proper treatment by identifying the early symptoms …
Analysis of the Regulatory Development Cryptocurrencies for Trading in Business with Deep Learning Techniques
As the number of people infected with COVID-19 continues to rise, a number of nations have
implemented state wide quarantines. This has resulted in a global financial crisis that is …
implemented state wide quarantines. This has resulted in a global financial crisis that is …
Fake currency detection with machine learning algorithm and image processing
A Bhatia, V Kedia, A Shroff, M Kumar… - 2021 5th international …, 2021 - ieeexplore.ieee.org
This paper deals with the matter of identifying the currency that if the given sample of
currency is fake. Different traditional strategies and methods are available for fake currency …
currency is fake. Different traditional strategies and methods are available for fake currency …
Sentiments detection for amazon product review
BK Shah, AK Jaiswal, A Shroff, AK Dixit… - 2021 International …, 2021 - ieeexplore.ieee.org
In this paper, we evaluated the sentiments in the present technological age over the reviews
of online products, online products are used by the majority of people. They provide their …
of online products, online products are used by the majority of people. They provide their …
Sign language alphabet recognition using convolution neural network
M Kumar, P Gupta, RK Jha, A Bhatia… - … and Control Systems …, 2021 - ieeexplore.ieee.org
Sign Language plays an indispensable role in the lives of people having speaking and
hearing disabilities. Recognition of American Sign Language using Computer Vision is very …
hearing disabilities. Recognition of American Sign Language using Computer Vision is very …
Random forest classification and ionospheric response to solar flares: Analysis and validation
F Arnaut, A Kolarski, VA Srećković - Universe, 2023 - mdpi.com
The process of manually checking, validating, and excluding data in an ionospheric very-low-
frequency (VLF) analysis during extreme events is a labor-intensive and time-consuming …
frequency (VLF) analysis during extreme events is a labor-intensive and time-consuming …
Dog breed classifier for facial recognition using convolutional neural networks
A Kumar, A Kumar - 2020 3rd International Conference on …, 2020 - ieeexplore.ieee.org
This paper dealt with the breed classification of dogs. To classify dog breed is a challenging
part under a deep convolutional neural network. A set of sample images of a breed of dogs …
part under a deep convolutional neural network. A set of sample images of a breed of dogs …
Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects
Diagnostic tests for hearing impairment not only determines the presence (or absence) of
hearing loss, but also evaluates its degree and type, and provides physicians with essential …
hearing loss, but also evaluates its degree and type, and provides physicians with essential …
Time Efficient IOS Application For CardioVascular Disease Prediction Using Machine Learning
V Kedia, SR Regmi, K Jha, A Bhatia… - 2021 5th …, 2021 - ieeexplore.ieee.org
This paper intends to utilize the vast amount of data generated in the healthcare industry by
building machine learning models to predict the incidents of cardiovascular disease in …
building machine learning models to predict the incidents of cardiovascular disease in …