A study on Speaker Recognition System by Bakkar, Hazem Wa'il Mohammed

“…Another main goal for conducting this research is to make a scientific comparison between tools and methods that are related to speaker recognition domain, the following are the techniques that were studied : 1) Energy based tool and Long-Term Spectral Divergence (LTSD) in the preprocessing module of the system, 2) Mel Frequency Cepstral Coefficients (MFCC) and Linear Predictive Cepstral Coefficients (LPCC) in the feature extraction module, and 3) scikit-learn Gaussian Mixture Model (GMM), Universal Background Model (UBM), Continuous Restricted Boltzmann Machine (CRBM) and Joint Factor Analysis (JFA) in the recognition module. …”
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Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques by Umesh Kumar Lilhore (17727684)

“…This research work analyses cervical cancer and various risk factors to help detect cervical cancer. The proposed model Boruta with SVM and various popular ML models are implemented using Python and various performance measuring parameters, i.e., accuracy, precision, F 1 – Score , and recall. …”

Dickson polynomial-based secure group authentication scheme for Internet of Things by Salman Ali Syed (21323729)

Arabic Educational Neural Network Chatbot by A. Alazzam, Bayan

“…We then used this data to train the system using a neural network model to create an Arabic neural network chabot. …”
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Exploring the potential of onboard energy scavenging subsystems for generating valuable data by Raziq Yaqub (16488878)

“…This gathered data is seamlessly synchronized with GPS coordinates and timestamps, meticulously organized within a system architecture, and harnessed through meticulously crafted Python code. …”