5 citations · 5 across the 5 of their papers we have counts for
5 papers
Speech Emotion Recognition Using MFCC Features and LSTM-Based Deep Learning Model
Adelekun Oluwademilade, Ademola Adedamola, Abiola Abdulhakeem +7
Speech Emotion Recognition (SER) is the use of machines to detect the emotional state of humans based on the speech, which is gaining importance in natural human-computer interacti…
Summary of Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Kamorudeen A. Amuda, Almustapha A. Wakili
This study introduces a federated learning-based approach to predict HER2 status from hematoxylin and eosin (HE)-stained whole slide images (WSIs), reducing costs and speeding up t…
Revolutionizing Networking Paradigms: A Comprehensive Exploration of Information-Centric Networking (ICN), Content-Centric Networking(CCNx) and Named Data Networking (NDN)
Kamorudeen Amuda, Wakili Almustapha, Binkam Deepak +2
The evolution of networking paradigms has led to the emergence of Information-Centric Networking (ICN), Content-centric networking (CCNx), and Named Data Networking (NDN). These in…
Voice Information Retrieval In Collaborative Information Seeking
Sulaiman Adesegun Kukoyi, O. F. W Onifade, Kamorudeen A. Amuda
Voice information retrieval is a technique that provides Information Retrieval System with the capacity to transcribe spoken queries and use the text output for information search.…
Customers Churn Prediction in Financial Institution Using Artificial Neural Network
Kamorudeen A. Amuda, Adesesan B. Adeyemo
In this study, a predictive model using Multi-layer Perceptron of Artificial Neural Network architecture was developed to predict customer churn in a financial institution. Previou…