Utilizing Spectrograms and Deep Learning Techniques for Improved Music Genre Classification
In the modern world, music occupies a major and possibly even vital position in our day-to-
day behaviors. The variety of musical genres is extraordinarily extensive, and each genre …
day behaviors. The variety of musical genres is extraordinarily extensive, and each genre …
K-means clustering over distributed environment: A review
S Vats, V Sharma, P Rawat, A Ratra - Uncertainty in Computational …, 2025 - Elsevier
We are in the era of a hefty amount of information which is rising day by day and
warehoused electronically. For analyzing, with these large amount of data and making it …
warehoused electronically. For analyzing, with these large amount of data and making it …
Advanced frequent itemset mining algorithm (AFIM)
S Vats, V Sharma, M Bajaj, S Singh… - … -Based Decision Making, 2025 - Elsevier
Frequent itemset mining (FIM) aims to extract interesting patterns from databases, to gain
insights to support business decisions or provide higher-quality services. Nowadays, to …
insights to support business decisions or provide higher-quality services. Nowadays, to …
Music Genre Classification Based on Functional Data Analysis
J Shen, G ** the sign language gestures prediction …
Hate Speech Detection using Machine Learning Techniques
The widespread transmission of dangerous online information is one notable concern raised
by the rise in internet usage among people from a variety of cultural and educational …
by the rise in internet usage among people from a variety of cultural and educational …
[PDF][PDF] Polish dance music classification based on mel spectrogram decomposition
K Chwaleba, W Wach - Advances in Science and Technology. Research …, 2024 - astrj.com
Folk dances and music are essential aspects of intangible cultural heritage identifying the
history and traditions of nations. Due to dynamic changes in the social structure, many …
history and traditions of nations. Due to dynamic changes in the social structure, many …
Web User Access Path Prediction using Recognition with Recurrent Neural Network
S Chamoli, PK Singh, SS Chauhan… - … Approach to Problem …, 2024 - benthamdirect.com
This research introduces a novel technique for predicting web user access paths based on
Recognition with Recurrent Neural Network (RNN). The study focuses on utilizing user …
Recognition with Recurrent Neural Network (RNN). The study focuses on utilizing user …
News Event Detection Methods Based on Big Data Processing Techniques
This research presents a novel approach for detecting news events using big data
processing techniques. The proposed method involves four key steps: crawling news data …
processing techniques. The proposed method involves four key steps: crawling news data …
Redefining Human-AI Interactions: Unveiling ChatGPT's Profound Emotional Understanding
P Rawat, M Bajaj, S Vats… - A Practitioner's Approach to …, 2024 - benthamdirect.com
The AI-powered conversational agent known as ChatGPT has received significant attention
due to its exceptional performance in natural language processing tasks and its exponential …
due to its exceptional performance in natural language processing tasks and its exponential …