https://adrjournalshouse.com/index.php/computationallinguistics/issue/feed 2025-10-04T11:49:38+00:00 Advanced Research Publications info@adrpublications.in Open Journal Systems https://adrjournalshouse.com/index.php/computationallinguistics/article/view/2402 2025-10-04T11:49:38+00:00 Snehal Shukla snehal.shukla7@gmail.com Hiten Darji snehal.shukla7@gmail.com

<p>This study examines the application of artificial intelligence (AI) in personalising music experiences on Spotify. It analyses the specific AI techniques employed by Spotify, compares these with those used by other major platforms, and highlights Spotify's distinctive innovations. Addressing future directions and challenges in leveraging AI for music personalisation, the study also considers user perspectives, ethical considerations, and potential areas for further research, including bias mitigation and the cold-start problem.</p>

2025-10-04T00:00:00+00:00 Copyright (c) 2025 Journal of Advanced Research in Computational Linguistics: Journal of Computer Science Language https://adrjournalshouse.com/index.php/computationallinguistics/article/view/2401 2025-10-04T11:19:37+00:00 Dhrup Sunil Vadher dhrupvadher@gmail.com Hasti Satishbhai Dhameliya dhrupvadher@gmail.com Khyatee Naresh Kakadiya dhrupvadher@gmail.com Pooja L Gohel dhrupvadher@gmail.com

<p>Photoplethysmography (PPG) is a non-invasive optical technique used to monitor blood volume changes in peripheral tissues. This paper presents the design and implementation of a low-cost, modular data acquisition (DAQ) system for capturing PPG signals using the MLT1020 sensor. The system includes a custom analogue front end with a bandpass filter (0.5–5 Hz), combining a 5th-order high-pass and 7th-order low-pass filter to suppress noise and motion artefacts. The output signal is visualised in real-time on a Digital Storage Oscilloscope (DSO) and later analysed in MATLAB. Experimental results from human subjects showed clean, periodic waveforms with reliable cardiac cycle representation. Signal quality was comparable to that obtained from commercial DAQ systems, confirming the system’s effectiveness for basic biomedical research. The setup is particularly suited for educational and research settings where cost and customisation are key. Future versions may include microcontroller integration, wireless communication, and digital storage. This system bridges the gap between theory and hands-on experimentation, providing an accessible platform for physiological signal processing.</p>

2025-10-04T00:00:00+00:00 Copyright (c) 2025 Journal of Advanced Research in Computational Linguistics: Journal of Computer Science Language