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  • Deductions from total statutory income when arriving to assessable income 
    Gunarathna, H.M.A.M.; Thilaksiri, T.T. (Department of Accountancy, University of Kelaniya, 2014)
  • Deep Hybrid Learning Framework for Plant Disease Recognition 
    Hewarathna, Ashen Iranga; Palanisamy, Vigneshwaran; Charles, Joseph; Thuseethan, Selvarajah (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Following better agricultural practices is the key to catering for the ever-increasing food demand. While new technologies have been adapted over the years, there is still a need for effective plant disease recognition ...
  • Deep learned Visual Model for Human Computer Interaction (HCI) 
    Kumarika, B.M.T.; Dias, N.G.J. (Staff Development Center, University of Kelaniya, Sri Lanka, 2015)
    Background and rationale: The modern hand gesture recognition approaches can be classified as ‘contact’ and ‘vision’ based. Contact based approaches like Data Glove require a physical contact which can cause health issues ...
  • A deep learning approach to outbreak related tweet detection 
    Jayawardhana, B.A.S.S.B.; Rajapakse, R.A.C.P. (Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Social Media has become a good indicator that reflects the real-time behaviour of society. Due to the popularity of social media platforms around the world, people use to express their observations and concerns on social ...
  • Deep learning based breast cancer detection system using fog computing 
    Welhenge, Anuradhi (Journal of Discrete Mathematical Sciences & Cryptography, 2022)
    Among the different types of cancers, more women are suffering from breast cancer. Breast cancer can be identified by mammograms or using ultrasounds. Early detection of the cancer can be used to minimize the complexities ...
  • Deep Learning Based Student Attention Monitoring and Alerting System During a Lecture 
    Vettivel, N.; Ravindran, V.; Jeyaratnam, N.; Sumathipala, S. (3rd International Conference on Advances in Computing and Technology (ICACT ‒ 2018), Faculty of Computing and Technology, University of Kelaniya, Sri Lanka., 2018)
    Mindfulness is the ability to fully aware and focuses on the present moment. For students, it is essential to pay full concentration during the lectures. Staying focused while studying is vital for the better performance ...
  • Deep learning driven mobile robot to detect and classify tomato leaf diseases 
    Gajendrasinghe, G. M. S. C.; Abeysiri, K. M. S. D.; Rathnayake, I. M. (Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Tomato (Solanum lycopersicum L.) is a nutritious fruit widely grown as a vegetable in Sri Lanka, with various varieties including HORDI tomato hybrid 03, Thilina, etc. Plant diseases affecting tomato crops result in reduced ...
  • Deep Learning-Based E-Learning Solution for Identifying and Bridging the Knowledge Gap in Primary Education 
    Arunoda, D.P.H.; Walpola, S.R.; Piumira, S.M.I.; Athukorala, A.D.M.P.; Thilakarathna, Thusithanjana; Chandrasiri, Sanjeevi (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    Educational teaching apps are primarily available in app stores to educate students in various contexts. Lack of educational resources, physical and mental health conditions, and poverty cause some students to skip school ...
  • Deep Learning-Based Malware Detection and Cleansing Mechanism for Server-Side Cloud Computing 
    Sampath, K.K.; Karunarathna, S.N. (International Postgraduate Research Conference 2019, Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2019)
    Traditionally, malware is detected by inspecting its signature, which is a unique identifier of the software’s binary. Signature based malware detection approaches are now less effective for to identifying intelligent and ...
  • Deep learning-based pesticides prescription system for leaf diseases of home garden crops in Sri Lanka 
    Sangeevan, Siventhirarajah (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The study proposes a deep learning-based pesticides prescription system for leaf diseases of home garden crops in Sri Lanka. It is an intelligent system to get suitable pesticides prescriptions for plant leaf diseases. ...
  • Deep Neural Architectures for Ethnicity Classification in Face Images 
    Jayasekara, Buddhi G.; Hevapathige, Asela (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Ethnicity is a key metric of an individual’s identity, social cluster, physical behaviour and cultural association. Accurate ethnicity identification of humans is required in numerous fields like security, legislation, ...
  • A Deep Neural Network Approach for Analysis of Firewall Log Data 
    Lillmond, Chandesh; Suddul, Geerish (Faculty of Computing and Technology (FCT), University of Kelaniya, Sri Lanka, 2021)
    In this paper, we propose an intelligent approach for the classification of incoming and outgoing firewall traffic packets. A firewall is a quintessential tool that ensures the control of traffic over machines’ communication ...
  • Deep Structure and Surface Structure 
    Anandakiththi Thero, Kapugollawe (Department of Linguistics, University of Kelaniya, 1998)
  • Deep Unsupervised Pre-trained Neural Network for Human Gesture Recognition 
    Kumarika, B.M.T.; Dias, N.G.J. (Faculty of Graduate Studies, University of Kelaniya, 2015)
    Recognition of visual patterns for real world applications is a complex process that involves many issues. Varying and complex backgrounds, bad lighting environments, person independent gesture recognition and the ...
  • Deepening of Democracy or De-democratization: Interrogating the New Local Governance in the Context of West Bengal 
    Roy, R. (Research Centre for Social Sciences, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2016)
    This recipe of good governance at the cutting edge level is informed by post-bureaucratic organizational precepts of flexibility, networking and negotiation. It also encourages the growing role of quasi-governmental bodies ...
  • Default risk and debt recovery strategies in microfinance: evidence from Sri Lankan microfinance sector 
    Kalpani, B.L. Wathsala; Abeysekera, Ruwan (the Department of Accountancy, Wayamba University of Sri Lanka, 2018)
    Microfinance Institutions (MFIs) contribute immensely to low income earning individuals by providing microcredit and other services such as insurance, savings and training to engage in income generating activities. ...
  • Default risk and debt recovery strategies of microfinance providers: A comparative study in Sri Lanka. 
    Kalpani, B. L. W.; Abeysekera, R. (International Research Symposium on Pure and Applied Sciences, 2017 Faculty of Science, University of Kelaniya, Sri Lanka., 2017)
    The objective of this research is to identify and compare strategies used by six different Microfinance Institutions (MFIS) in Sri Lanka in order to minimize the risk of loan default and to recover debt. It also evaluates ...
  • Defaulter Prediction in the Fixed-line Telecommunication Sector Using Machine Learning 
    Ginige, Sachini; Rajapakse, Chathura; Asanka, Dinesh; Mahanama, Thilini (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    In the modern connected era, the telecommunications sector plays a critical role in enabling efficient business operations across all industries. However, defaulting customers who fail to pay their dues after consuming ...
  • Defaulter rate and predictors of defaulting of patients on anti-tuberculosis treatment 
    Pinidiyapathirage, M.J.; Senaratne, W.V.; Perera, G.A.M.H.E.; Wickremasinghe, A.R. (Sri Lanka Medical Association, 2006)
    OBJECTIVE: To determine the defaulter rate and risk factors of defaulting of patients on anti- tuberculosis treatment. METHODS: All consenting patients with a confirmed diagnosis of tuberculosis admitted to a unit at Chest ...
  • Defecation disorders in children: Constipation and fecal incontinence 
    Baaleman, D.F.; Rajindrajith, S.; Devanarayana, N.M.; Lorenzo, C.D.; Benninga, M.A. (Springer International, 2021)
    Defecation disorders denote a state of altered defecation dynamics leading to an array of clinical presentations. With the currently available epidemiological studies, it is evident that these disorders have become widely ...

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