some update

Author: Dhruva Shaw

_projects/mcba.md

@@ -141,15 +141,15 @@ The dataset captured brainwave signals corresponding to the following activities
 8. **Rest**: Recorded between each task to capture the resting state [3] [4].
 
 ### 3. Feature Extraction and Classification
-Feature extraction and activity classification were performed using **transfer learning** with **YamNet** <d-cite key="yamnet_github"></d-cite>, a deep neural network model.
-* **Audio Representation**: Audio files were imported into **MATLAB** using an **Audio Datastore** [6]. Mel-spectrograms, a time-frequency representation of the audio signals, were extracted using the yamnetPreprocess <d-cite key="yamnetpreprocess"></d-cite> function <d-cite key="transferlearning_matlab"></d-cite>.
+Feature extraction and activity classification were performed using **transfer learning** with **YamNet** <d-cite key="yamnetgithub"></d-cite>, a deep neural network model.
+* **Audio Representation**: Audio files were imported into **MATLAB** using an **Audio Datastore** [6]. Mel-spectrograms, a time-frequency representation of the audio signals, were extracted using the yamnetPreprocess <d-cite key="yamnetpreprocess"></d-cite> function <d-cite key="transferlearningmatlab"></d-cite>.
 * Dataset Split: The data was divided into **training (70%)**, **validation (20%)**, and **testing (10%)** sets.
-Transfer Learning with YamNet <d-cite key="yamnet_github, transferlearning_matlab"></d-cite>:
-- The **pre-trained YamNet model** (86 layers) <d-cite key="yamnet_github"></d-cite> was adapted for an 8-class classification task:
-    + The initial layers of YamNet <d-cite key="yamnet_github"></d-cite> were **frozen** to retain previously learned representations <d-cite key="transferlearning_matlab"></d-cite>.
-    + A **new classification layer** was added to the model <d-cite key="transferlearning_matlab"></d-cite>.
+Transfer Learning with YamNet <d-cite key="yamnetgithub, transferlearningmatlab"></d-cite>:
+- The **pre-trained YamNet model** (86 layers) <d-cite key="yamnetgithub"></d-cite> was adapted for an 8-class classification task:
+    + The initial layers of YamNet <d-cite key="yamnetgithub"></d-cite> were **frozen** to retain previously learned representations <d-cite key="transferlearningmatlab"></d-cite>.
+    + A **new classification layer** was added to the model <d-cite key="transferlearningmatlab"></d-cite>.
 - Training details:
-    + **Learning Rate**: Initial rate of **3e-4**, with an exponential learning rate decay schedule <d-cite key="transferlearning_matlab"></d-cite>.
+    + **Learning Rate**: Initial rate of **3e-4**, with an exponential learning rate decay schedule <d-cite key="transferlearningmatlab"></d-cite>.
     + **Mini-Batch Size**: 128 samples per batch.
     + **Validation**: Performed every **651 iterations**.
 

assets/bibliography/papers.bib

@@ -7,7 +7,7 @@ @article{nprnews
   title={Scientists Bring The Sense Of Touch To A Robotic Arm}
 }
 
-‌@article{transferlearning_matlab,
+‌@article{transferlearningmatlab,
 url={https://in.mathworks.com/help/audio/ug/transfer-learning-with-pretrained-audio-networks.html},
   journal={Mathworks.com},
   year={2024},
@@ -23,22 +23,22 @@ @article{yamnetpreprocess
   title={yamnetPreprocess}
 }
 
-‌@article{audio_datastore,
+‌@article{audiodatastore,
   url={https://in.mathworks.com/help/audio/ref/audiodatastore.html},
   journal={Mathworks.com},
   year={2021},
   author={Mathworks},
   title={audioDatastore}
 }
 
-‌@article{yamnet_github,
+‌@article{yamnetgithub,
   url={https://github.com/tensorflow/models/tree/master/research/audioset/yamnet},
   journal={GitHub},
   year={2024},
   author={Google and Ellis, Dan and Plakal, Manoj},
 }
 
-@article{asanza_2023,
+@article{asanza2023,
   title={MILimbEEG: An EEG Signals Dataset based on Upper and Lower Limb Task During the Execution of Motor and Motorimagery Tasks}, volume={2}, url={https://data.mendeley.com/datasets/x8psbz3f6x/2},
   DOI={https://doi.org/10.17632/x8psbz3f6x.2},
   journal={Mendeley Data},
@@ -47,7 +47,7 @@ @article{asanza_2023
   month={July}
 }
 
-‌@article{https://doi.org/10.5524/100295,
+‌@article{gigadb,
   doi = {10.5524/100295},
   url = {http://gigadb.org/dataset/100295},
   author = {Cho, Hohyun and Ahn, Minkyu and Ahn, Sangtae and {Moonyoung  Kwon} and Jun, Sung Chan},