Wav2Vec2 Sentiment Analysis Using Shemo Dataset
Overview In this project, we fine-tuned the Wav2Vec2 model to perform sentiment analysis based on both voice features and text transcripts from the Shemo da...
In this project, we developed an Android application to estimate the location of cellular network cells using Received Signal Strength Indicator (RSSI) and GPS data. The application collects signal information and utilizes various algorithms for location estimation.
In the first solution, we used RSSI and GPS data to estimate the location of cells in a cellular network. The steps included:
In the second solution, we used the Circular Lateration algorithm for position estimation. The steps included:
The utility functions are located in the utils folder. The main program is developed in MainActivity. We continuously gather and process real-time data, displaying the results in two tabs within the application.
Overview In this project, we fine-tuned the Wav2Vec2 model to perform sentiment analysis based on both voice features and text transcripts from the Shemo da...
Overview In this project, we developed an Android application to estimate the location of cellular network cells using Received Signal Strength Indicator (RS...
Overview In this project, we explore multimodal sentiment analysis, which involves analyzing both text and image data together. Our goal is to predict sentim...
Project Iridium
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