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  • Deep learning based non-intrusive load monitoring for a three-phase system 
    Gowrienanthan, B; Kiruthihan, N; Rathnayake, KDIS; Kiruthikan, S; Logeeshan, V; Kumarawadu, S; Wanigasekara, C [Article-Full-text]
    Non-Intrusive Load Monitoring (NILM) is a method to determine the power consumption of individual appliances from the overall power consumption measured by a single measurement device, which is usually the main meter. ...
  • A deep learning ensemble hate speech detection approach for sinhala tweets 
    Munasinghe, S; Thayasivam, U [Conference-Full-text]
    We live in an era where social media platforms play a key role in society. These platforms support most of the native languages and this has enabled people to express their opinions conveniently. Also, it is very common ...
  • A deep learning ensemble hate speech detection approach for Sinhala tweets 
    Munasinghe MISA [Thesis-Abstract]
    We live in an era where social media platforms play a key role in the society. With the advancement of technology, these platforms have become more closer to people and currently, they can interact with most of the native ...
  • Deep learning for arbitrary-shaped water pooling region detection on aerial images 
    Mylvaganam, P; Dissanayake, MB [Conference-Full-text]
    Recent rapid development in Unmanned Aerial Vehicles (UAVs) have extensively promoted several types of civilian tasks. In this paper, we propose and compare two different deep learning and convolutional neural network ...
  • Deep learning framework for financial time series prediction using technical indicators and price data 
    Pathirana YBS [Thesis-Abstract]
    Financial Time Series prediction is a challenging task due to its dependency in many socio-economic factors. It depends on both quantitative and qualitative factors in a Financial Market. Quantitative factors can be ...
  • Deep learning-based automatic building types classification for transport planning 
    Khatua, A; Goswami, AK; Aithal, BH [Conference-Full-text]
    The present study proposes a building classification algorithm that uses deep learning techniques, namely object detection and image segmentation, to distinguish between residential and commercial structures. The algorithm ...
  • A deep learning-based building defects detection tool for sustainability monitoring 
    Ekanayake, B [Conference-Full-text]
    To ensure sustainability of buildings, detection of building defects is crucial. Conventional practices of defects detection from building inspection data are mostly manual and error prone. With the advancements in ...
  • Deep neural networks for acoustic modeling – a review 
    Siriwardene, S [Conference-Full-text]
    Acoustic modeling refers to a statistical model that converts the speech signal to a set of phonetics related to each set of feature vectors extracted through pre processing the sound signal. A traditional approach to ...
  • Deep optical coding design in computational imaging 
    Arguello, H; Bacca, J; Kariyawasam, H; Vargas, E; Marquez, M; Hettiarachchi, R; Garcia, H; Herath, K; Haputhanthri, U; Ahluwalia, BS; So, P; Wadduwage, DN; Edussooriya, CUS [Article-Full-text]
    Computational optical imaging (COI) systems leverage optical coding elements (CEs) in their setups to encode a highdimensional scene in a single or in multiple snapshots and decode it by using computational algorithms. ...
  • A Deep syntactic parser for the Tamil language 
    Sarveswaran K [Thesis-Abstract]
    Natural Language Processing (NLP) applications have become integral to human life. A syntactic parser is a vital linguistic tool that shows syntactic relations between the words in a sentence. These may then be mapped ...
  • DEEP-squared: deep learning powered descattering with excitation patterning 
    Wijethilake, Navodini; Anandakumar, Mithunjha; Zheng, Cheng; Peter, T. C. So; Yildirim, Murat; Wadduwage, Dushan N. [Article-Full-text]
    Limited throughput is a key challenge in in vivo deep tissue imaging using nonlinear optical microscopy. Point scanning multiphoton microscopy, the current gold standard, is slow especially compared to the widefield ...
  • A Defect prediction model for model driven engineering 
    De Silva KSDNK [Thesis-Abstract]
    Model-Driven Engineering (MDE) is used in the Software Industry which enables level to level transformation until the final system is created. This concept helps to ensure the bridging of gaps between the problem domain ...
  • Deficiencies in bespoke labour subcontract agreements: The case of large-scale contractors in the Sri Lankan construction industry 
    Arampath, AMNN; Palliyaguru, R; Karunasena, G [Conference-Full-text]
    Labour subcontracting has become popular and has been extensively utilized in the building construction industry due to the potential for a reduction in initial cost for site mobilization. However, there are high risks ...
  • Defining a ‘maturity model’ in the construction context: A systematic review 
    Jayanetti, JKDDT; Perera, BAKS; Waidyasekara, KGAS [Conference-Full-text]
    A maturity model is critical in analysing an entity as it evaluates the current situation and provides insights on enhancing the capabilities to reach higher maturity. Maturity models are being used in many industries ...
  • Defining critical infrastructure for Sri Lanka 
    Randeniya, M; Palliyaguru, R; Amaratunga, D [Conference-Full-text]
    In the last few decades, infrastructure has played a major role in supporting modern society. Moreover, there has been an increase in natural and human-induced disasters worldwide. In these situations, securing infrastructure ...
  • Defining entrepreneurship : operational considerations 
    Kusumsiri, SANS; Jayawardane, AKW
    The phenomenon of entrepreneurship is intertwined with a complex set of overlapping constructs and perspectives. Consequently, entrepreneurship literature is cluttered with a large number of definitions that emphasise the ...
  • Defining kpis to measure eco-sustainable performance at container terminals in sri lanka 
    Perera, MPA; Abeysekara, B [Conference-Full-text]
    A port or a terminal is always associated with various adverse environmental impacts. There are different tools and standards to measure environmental performance; such as ISO 14001, ISO 14031, EMAS and SDM. But ...
  • Defining Multi Agent System for a Reliable Micro-Grid 
    Dinushi, HMN; Kariapper, MHMS; Porawagamage, GD; Rathnayaka, PKH; Srimal, UP; Hemapala, KTMU [Conference-Full-text]
    Electrical power supply to serve critical facilities are of high importance in today’s world. Instead of building a large electric power system, an intelligent Micro Grid (MG) can be considered as a promising power ...
  • Defining multiagent system for a reliable Micro-Grid 
    Dinushi, HMN; Kariapper, MHMS; Porawagamage, GD; Rathnayaka, PKH; Srimal, UP; Hemapala, KTMU [Conference-Abstract]
    Electrical power supply to serve critical facilities are of high importance in today’s world. Instead of building a large electric power system, an intelligent Micro Grid (MG) can be considered as a promising power supply ...
  • Defining of normalized load profile curves for domestic customer groups to estimate feeder power loss 
    Jayawardhana, HACH; Hemapala, KTMU; Bandara, AWAL; De Silva, PSN [Conference-Full-text]
    In a country, domestic electricity customer percentage is higher in number wise, but energy usage of one customer is lower compared to other categories. Therefore, installing a load profile recording meter for each ...