Browsing by Author "Lakmali, SMM"
Now showing items 1-9 of 9
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Attribute Selection and Verification for Effective Hockey Player Ranking in Sri Lankan Context
Hettiarachchi, HAYB; Lakmali, SMM; Pradeep, RMM (2024-09) -
Attribute Selection and Verification for Effective Hockey Player Ranking in the Sri Lankan Context
Hettiarachchi, HAYB; Lakmali, SMM; Pradeep, RMM (2024-09)Sri Lanka's hockey domain has been hindered by the lack of a standardized dataset and the absence of a well-defined set of attributes for player performance assessment, limiting the application of advanced AI technologies. ... -
Data Science Driven Solution to Predict Employee Attrition: A Systematic Review
Kosgahakumbura, PK; Hettiarachchi, YB; Peiris, DR; Hewage, RP; Hewaarchchi, ST; Madhubhashani, KD; Lakmali, SMM; Gunathilake, HRWP (2024-09) -
Data Science Driven Solution to Predict Employee Attrition: A Systematic Review
Kosgahakumbura, PK; Hettiarachchi, YB; Peiris, DR; Hewage, RP; Hewaarchchi, ST; Madhubhashani, KD; Lakmali, SMM; Gunathilake, HRWP (2024-09)Employee attrition refers to leaving employees from the organization due to various reasons. Understanding and predicting employee attrition is crucial for organizations seeking to enhance employee retention and reduce ... -
Deep Learning for Early Skin Cancer Detection: A Convolutional Neural Network Approach
Perera, NDEA; Lakmali, SMM; Yakupitiya, KC; Vidanage, BVKI (2024-09)Skin cancer diagnosis often involves a lengthy waiting period for biopsy results, leaving patients in uncertainty and at risk. A patient with a suspicious lesion may wait one to three weeks for biopsy results, impacting ... -
Deep Learning for Early Skin Cancer Detection: A Convolutional Neural Network Approach
Perera, NDEA; Lakmali, SMM; Yakupitiy, KC; Vidanage, BVKI (2024-09) -
Limitations of doing a Stock Market Analysis in Sri Lanka: A Review
Nadeeshana, TLN; Ilmini, WMKS; Lakmali, SMM (2021-12) -
Real-time Taxi Demand and Supply prediction based on Specific Geo locations using Machine Learning - A Systematic Literature Review
Abeysekara, AA; Sumanasekara, SG; Samaraweera, SMDD; Imasha, WAC; Mihiran, ASYH; Gunasekara, ADAI; Vidanagama, DU; Lakmali, SMM; Madhubashini, KD; Gunathilaka, HRWP (2023-09)With the increasing popularity of ride-hailing services, the accurate prediction of taxi demand has become a crucial task for service providers. In recent years, the availability of large-scale geospatial data and ... -
Real-time Taxi Demand and Supply Prediction-based on Specific Geo-locations Using Machine Learning – A Systematic Literature Review
Abeysekara, AA; Sumanasekara, SG; Samaraweera, SMDD; Imasha, WAC; Mihiran, ASYH; Gunasekara, ADAI; Vidanagama, DU; Lakmali, SMM; Madhubashini, KD; Gunathilaka, HRWP (2023-09)