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[PDF][PDF] A comprehensive study based on MFCC and spectrogram for audio classification
Music Assortment is a music information retrieval (MIR) function to decide music connotation
computationally. In recent years, deep neural networks have been proven to be effective in …
computationally. In recent years, deep neural networks have been proven to be effective in …
A comprehensive analysis of the effectiveness of machine learning algorithms for predicting water quality
P Rawat, M Bajaj, V Sharma… - … Conference on Innovative …, 2023 - ieeexplore.ieee.org
This study provides a comprehensive analysis of the effectiveness of eight different machine
learning algorithms for predicting water quality. The algorithms, which include Gaussian …
learning algorithms for predicting water quality. The algorithms, which include Gaussian …
Improvement in K-Means clustering for information retrieval
In the field of data science and machine learning, data clustering is a potent technique that
enables academics and businesses to glean valuable insights from massive and …
enables academics and businesses to glean valuable insights from massive and …
An analysis of crop recommendation systems employing diverse machine learning methodologies
P Rawat, M Bajaj, S Vats… - … Conference on Device …, 2023 - ieeexplore.ieee.org
For the purpose of assisting farmers in making knowledgeable choices on crop
management, this research suggests a crop recommendation system based on machine …
management, this research suggests a crop recommendation system based on machine …
A study on cervical cancer prediction using various machine learning approaches
Cervical cancer is a major cause of mortality for women, and early detection is crucial for
successful treatment Recent studies have investigated the use of machine learning for early …
successful treatment Recent studies have investigated the use of machine learning for early …
ASD Diagnosis in Children, Adults, and Adolescents using Various Machine Learning Techniques
P Rawat, M Bajaj, S Vats… - … Conference on Device …, 2023 - ieeexplore.ieee.org
ASD, often known as an autism spectrum disorder, is a neurodevelopmental condition that
impairs a person's capacity for successful social interaction and communication. The long …
impairs a person's capacity for successful social interaction and communication. The long …
BFCN: A novel classification method of encrypted traffic based on BERT and CNN
Z Shi, N Luktarhan, Y Song, G Tian - Electronics, 2023 - mdpi.com
With the speedy advancement of encryption technology and the exponential increase in
applications, network traffic classification has become an increasingly important research …
applications, network traffic classification has become an increasingly important research …
Classification and prediction of brain tumors and its types using deep learning
Brain tumors are a major source of illness and mortality globally, with about 11,700 persons
diagnosed with one each year. Brain tumor diagnosis and categorization are critical for …
diagnosed with one each year. Brain tumor diagnosis and categorization are critical for …
Crop prediction using ensemble learning
B Agarwal, S Pokhriyal, S Vats… - 2023 5th …, 2023 - ieeexplore.ieee.org
Most develo** countries, including India, depend on agriculture as their primary source of
revenue. Earlier, crop cultivation was based on farmers' prowess. There are many types of …
revenue. Earlier, crop cultivation was based on farmers' prowess. There are many types of …
A comprehensive review on crime patterns and trends analysis using machine learning
This study examines the analysis and visualization of a dataset from the London Police that
contains crime incidents reported over a 12-month span. The dataset contains several …
contains crime incidents reported over a 12-month span. The dataset contains several …