Exploring jukebox: A novel audio representation for music genre identification in mir
For Music Information Retrieval (MIR) downstream tasks, the most common audio
representation is time-frequency-based, such as Mel spectrograms. In order to identify …
representation is time-frequency-based, such as Mel spectrograms. In order to identify …
Optimizing Nurse Scheduling: A Supply Chain Approach for Healthcare Institutions
J Thomas - ar** an Adaptive Educational Chatbot for Personalized SQL Tutoring
Today chatbots are the most popular assistant tool we come across while surfing any
website, browser, application. Chatbots are multi-functional interactive computer programs …
website, browser, application. Chatbots are multi-functional interactive computer programs …
Exploring strategies for privacy-preserving machine learning in distributed environments
Machine Learning (ML) with distributed privacy preservation is growing in significance as it
focuses on facilitating multi-party learning without requiring actual data sharing. This is …
focuses on facilitating multi-party learning without requiring actual data sharing. This is …
[PDF][PDF] Enhancing Federated Learning Evaluation: Exploring Instance-Level Insights with SQUARES in Image Classification Models
D Sai, H Mashetty - J. Electrical Systems, 2024 - pdfs.semanticscholar.org
Federated Learning (FL) presents a novel approach within the domain of Machine Learning
(ML)—enabling the training of ML models in a distributed manner. This paradigmatic shift …
(ML)—enabling the training of ML models in a distributed manner. This paradigmatic shift …
Enhancing Foreground-Background Segmentation for Indoor Autonomous Navigation using Superpixels and Decision Trees
S Dodda - 2024 Control Instrumentation System Conference …, 2024 - ieeexplore.ieee.org
In this study, the method used involves segmenting images into fixed-sized square regions
called superpixels and then analyzing features of each superpixels to determine whether it …
called superpixels and then analyzing features of each superpixels to determine whether it …
Exploring Variational Autoencoders and Generative Latent Time-Series Models for Synthetic Data Generation and Forecasting
S Dodda - 2024 Control Instrumentation System Conference …, 2024 - ieeexplore.ieee.org
This study examines the fundamental theory necessary for comprehending Variational
Autoencoders (VAEs) and generative latent time-series models. We will also explain how …
Autoencoders (VAEs) and generative latent time-series models. We will also explain how …
Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance
The market for domestic robots made to perform household chores is growing as these
robots relieve people of everyday responsibilities. Domestic robots are generally welcomed …
robots relieve people of everyday responsibilities. Domestic robots are generally welcomed …
The Evolution of Football Betting-A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation
P Mandadapu - arxiv preprint arxiv:2403.16282, 2024 - arxiv.org
This paper explores the significant history of professional football and the betting industry,
tracing its evolution from clandestine beginnings to a lucrative multi-million-pound …
tracing its evolution from clandestine beginnings to a lucrative multi-million-pound …
Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization
The aim of this study is to teach an algorithm how to recognize different types of music.
Users will submit songs for analysis. Since the algorithm hasn't heard these songs before, it …
Users will submit songs for analysis. Since the algorithm hasn't heard these songs before, it …