Browsing by Author "Maduranga, MWP"
Now showing items 21-40 of 43
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IoT based Health Monitoring and Activity Detection for Elderly Care
Narasinghe, Nethshan; Kathriarachchi, RPS; Maduranga, MWP (2020)It is very important to monitor the health condition and activity of the elderly people especially when they are living alone or due to reduced connection with their children and relatives. To automate the elder s ... -
LIDAR-Based Autonomous Systems: Technologies, Challenges, and Future Research Directions
Vidushan, HBD; Maduranga, MWP (2024-01-17) -
Machine Learning Based Mobile Robot Localisation in Indoor Environments
Lakmal, HKIS; Weerasinghe, YSP; Kathriarachchi, RPS; Maduranga, MWP (2022-09) -
Machine Learning Based Mobile Robot Localization in Indoor Environments
Lakmal, HKIS; Weerasinghe, YSP; Kathriarachchi, RPS; Maduranga, MWP (2022)The mobile robot Indoor Positioning Systems (IPS) are widely used in the automation industry to find the location of moving robots in indoor environments. Existing IPS are expensive, and designs are complex. Moreover, ... -
Mobile-Based Skin Disease Diagnosis System Using Convolutional Neural Networks (CNN)
Nandasena, D; Maduranga, MWP (2021-12) -
Prevention of Foot Ulceration in Diabetes Patients using Foot Plantar Pressure Mapping Insole System: A Short Review
Jithmisha, DSS; Maduranga, MWP (2023-01) -
Radio Signal Based Indoor Localization with Histogram-based Gradient Boosting Classifier with LoRa
Egodagama, WGCN; Maduranga, MWP (2023-09)Indoor localization has gained significant importance in the context of smart cities, driven by the need for accurate positioning and navigational solutions. This research focuses on the application of long range (LoRa) ... -
Raspberry Pi Clustering for VoIP Communication
Maduranga, MWP; Perera, HMM (2019)In this article, we examined a Raspberry Pi cluster for VoIP applications. The VoIP application is run in two different experimental setups. One uses a single Raspberry Pi board and the other uses a Raspberry Pi cluster ... -
Real-Time Vehicle Type Recognition Using Deep Learning Techniques
Pethiyagoda, AMRNVB; Weerawardane, TL; Maduranga, MWP; Kulasekara, DMR (2022-09) -
Real-Time Vehicle Type Recognition Using Deep Learning Techniques
Pethiyagoda, AMRNVB; Weerawardane, TL; Maduranga, MWP; Kulasekara, DMR (2022)Modern intelligent transportation systems heavily rely on vehicle type classification technology. Deep learning-based vehicle type classification technology has sparked growing concern as Image Processing, Pattern recognition, ... -
Review on Communication Technologies for Home Automation
Rupasinghe, MS; Maduranga, MWP (2020) -
Review on IoT Based Systems for Remote Patient Monitoring
Bandaranaike, AS; Maduranga, MWP (2020) -
Review on Wireless Technologies for Long Distance IoT Applications
Abeyrathne, EMUWKM; Maduranga, MWP (2020) -
RFID Localization Estimation Techniques for Indoor Environment
Maduranga, MWP; Taparugssanagorn, A (2014)The purpose of wireless sensor network (WSN) has made real-time tracking of objects through the use of a radio frequency identification (RFID) system possible. Localization techniques in an RFID system affect on accurate ... -
RSSI and Machine Learning-Based Localization System for Smart Cities: A Short Review
Rathnayake, RMMR; Maduranga, MWP (2023-01) -
Sound Event Recognition and Classification Using Machine Learning Techniques
Karunaratna, SBK; Maduranga, MWP (2021) -
Sound Event Recognition and Classification Using Machine Learning Techniques
Karunaratna, SBK; Maduranga, MWP (2021)Sound event recognition and classification are exciting and vital applications in the era of the Internet of Things (IoT). These Sound events carry information that is useful for our daily lives. The perception of ... -
SpiAuc
Ukgoda, UWHK; Maduranga, MWP; Wedasinghe, N (2022-09) -
SpiAuc: Development of an Online Platform to Sale the Spices in Sri Lankan Market
Ukgoda, UWHK; Maduranga, MWP; Wedasinghe, N (2022)Sri Lanka’s spice market is significantly impacting the global spice market. In the current context, farmers are encountering practical issues such as high production costs, difficulties finding international markets, ... -
Towards IoT
Amarasinghe, WATR; Maduranga, MWP; Gunasekara, D (2022-09)