• A Comprehensive Review of Advanced Driver Assistance Systems (ADAS) and Their Role in Enhancing Human and Road Safety 

  Laknath, RMS; Katriarachchi, RPS; Wedasinghe, N (2023-02-06)

  Advanced Driver Assistance Systems (ADAS) play a crucial role in enhancing road safety by leveraging technological advancements to minimize the risk of accidents. This review highlights the importance of ADAS in mitigating ...

• Real-Time V2V Communication for Traffic Optimization and Collision Prevention Using Machine Learning. 

  Prasanna, MEJ; Wijayarathna, WMSRB; Pradeep, RMM (2023-02-06)

  Vehicle-to-vehicle(V2V) communication represent a critical of next generation trans portation systems. This paper explores how to improve V2V systems through the integration of V2X, using machine learning models, and ...

• Structural Health Monitoring System for Large Structures Using Wireless Sensor Networks: A Machine-Learning Enabled Edge Computing Approach 

  Dissanayake, GASSA; Goonatilleke, MAST; Maduranga, MWP (2023-02-06)

  Structural Health Monitoring (SHM) is critical for the safety, durability, and longevity of critical infrastructures ranging from buildings to very big structures such as wind turbines, and bridges. In traditional ...

• Comprehensive Review on Design of Low-Cost Portable Ventilator for Emergency Use in Resource-Limited Settings 

  Wijesingha, WPNJ; Goonatilleke, MAST (2023-02-06)

  Mechanical ventilation serves as a lifesaver in the rapidly evolving field of respiratory disease treatment. However, limitations of existing ventilators, such as high cost and limited portability, affect the accessibility ...

• Enhancing Personalization of Fitness Tracking Systems with The Help of Data Analytics 

  De Silva, LIK; Ganepola, GAD; Vidanage, BVKI (2023-02-06)

  This review explores the application of data analytics to enhance personalization in fitness tracking systems, a growing need within the expanding domain of wearable and mobile health technology. Although fitness trackers ...

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