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Browsing ICITR - 2020 by Title

Browsing ICITR - 2020 by Title

Now showing items 1-20 of 27

Arima and ann approach for forecasting daily stock price fluctuations of industries in Colombo stock exchange, Sri Lanka

Wijesinghe, GWRI; Rathnayaka, RMKT [Conference-Full-text]

Time series forecasting is regarded as the most successful criterion among several factors involved in the decision-making process to pick a correct prediction model. Improving predictability has become crucial for ...
Artificial neural network to estimate the paddy yield prediction using remote sensing, weather and non weather variable in Ampara district, Sri Lanka

Wanninayaka, WMRK; Rathnayaka, RMKT; Udayakumara, EPN [Conference-Full-text]

In Sri Lanka, seasonal paddy area mapping and rice prediction is based on the traditional methods with poor technologies. Ampara district has been chosen as the study area because its contribution is considered as the ...
An automated decision-making framework for precipitation-related workflows

Adikari, AMH; Bandara, HMND; Herath, S; Chitraranjan, C [Conference-Full-text]

Due to weather’s chaotic nature, static workflow managers are ineffective in integrating multiple Numerical Weather Models (NWMs) with cascading relationships. Unexpected events like flash floods and breakdown in canal ...
Automatic diagnosis of diabetic retinopathy using machine learning: a review

Gunawardhana, PL; Jayathilake, R; Withanage, Y; Ganegoda, GU [Conference-Full-text]

Diabetic Retinopathy is a popular cause of diabetes, causing vision-impacting lesions of the retina. Blindness may be avoided by early detection. The ophthalmologist's manual approach of diagnosing diabetic retinopathy is ...
Btdm: a qos-based trust distribution mechanism for cloud computing

Firdhous, MFM; Budiarto, R [Conference-Full-text]

Cloud computing makes the delivery of computing resources over the Internet as services. As there are many providers in the market, it is necessary to monitor their performance. Several mechanisms for monitoring service ...
Building social resilience during disasters: an investigation into the role of online social media networks

Firdhous, MFM [Conference-Full-text]

Within the last ten years, the world witnessed four serious epidemics. COVID-19 has been the most serious of these ones in terms of the number of people affected and the lives lost. In order to contain the spread of the ...
Data mining approach for analyzing factors influencing vegetable prices

Illankoon, IMGL; Kumara, BTGS [Conference-Full-text]

Vegetables have a special place in the Sri Lankan economy. The price of vegetables, unlike the prices of other products, changes daily. There are several reasons for this and the examples include environmental conditions, ...
Design and evaluation of a capacitive sensor for real time monitoring of gravimetric moisture content in soil

Pieris, TPD; Chathuranga, KVDS [Conference-Full-text]

Soil moisture content measurements are required widely in the fields of lawn maintenance, irrigation systems of farming, soil processing in civil engineering etc. The paper presents a novel two terminal sensor for real-time ...
An elephant detection system to prevent human-elephant conflict and tracking of elephant using deep learning

Premarathna, KSP; Rathnayaka, RMKT; Charles, J [Conference-Full-text]

Human settlement is spreading to forest boundary areas because of the population growth, it triggers disputes between elephants and humans, leading to the loss of property and life. Continuous monitoring and tracking of ...
Energy and power consumption analysis of a wireless sensor node without a voltage regulator

Pieris, TPD; Chathuranga, KVDS; Kulasekera, AL; Guha, P; Mukhija, P [Conference-Full-text]

Wireless sensor nodes are used in a wide range of areas such as environment monitoring, health monitoring, military and engineering applications to transfer sensor data from one location to another location. These sensor ...
Evaluation of re-identification risks in data anonymization techniques based on population uniqueness

Bandara, PLMK; Bandara, HMND; Fernando, S [Conference-Full-text]

With the increasing appetite for publicly available personal data for various analytics and decision making, due care must be taken to preserve the privacy of data subjects before any disclosure of data. Though many data ...
Human activity recognition using cnn & lstm

Shiranthika, C; Premakumara, N; Chiu, HL; Samani, H; Shyalika, C; Yang, CY [Conference-Full-text]

In identifying objects, understanding the world, analyzing time series and predicting future sequences, the recent developments in Artificial Intelligence (AI) have made human beings more inclined towards novel research ...
Hybrid approach and architecture to detect fake news on twitter in real-time using neural networks

Thilakarathna, MP; Wijayasekara, VA; Gamage, Y; Peiris, KH; Abeysinghe, C; Rafaideen, I; Vekneswaran, P [Conference-Full-text]

Fake news has been a key issue since the dawn of social media. Currently, we are at a stage where it is merely impossible to differentiate between real and fake news. This directly and indirectly affects people's decision ...
Identification of brain tumor and extracting its’ features through processing of mri

Lakmi, KWDT; Pathirana, GPSN; Sandanayake, TC [Conference-Full-text]

The abnormal growth of tissues inside the brain is known as brain tumors and they are considered as a life threatening disease. According to the cell types containing in a tumor they can be classified into two groups as ...
Infinity yoga tutor: yoga posture detection and correction system

Rishan, F; De Silva, B; Alawathugoda, S; Nijabdeen, S; Rupasinghe, L; Liyanapathirana, C [Conference-Full-text]

Popularity of yoga is increasing daily. The reason for this is the physical, mental and spiritual benefits that could be obtained by practicing yoga. Many are following this trend and practicing yoga without the training ...
Iot enabled an open framework for air pollution monitoring system

Sudantha, BH; Manchanayaka, MALSK; Premakumara, N; Shiranthika, C; Premachandra, C; Kawanaka, H [Conference-Full-text]

Blessing with fresh air to breathe is one of the primary living requirements of the Human being. Nowadays, majority of the countries in the world are suffering from the problem of Air pollution. This problem is getting ...
Iot-enhanced smart laser fence for reducing human elephant conflicts

Firdhous, MFM [Conference-Full-text]

Human animal conflict is a serious problem in several countries in the Asian and African continents. The human animal conflict commonly results in the damage to properties and loss of human/animal life and limbs. The ...
Machine learning approach for hairstyle recommendation

Weerasinghe, H; Vidanagama, D [Conference-Full-text]

According to aesthetic evaluations, hair is the most unique feature which can enhance the facial features of a person. Beauty experts have identified that 70% of overall face appearance completely depends on the haircut ...
Multimedia big data platform with a deep learning approach for flood emergency management

Weerasinghe, IDTT; Jayasena, KPN [Conference-Full-text]

Flood emergency management has been a major issue in the last few decades as it can disrupt human lives as well as the economy and property damage. A flood occurs when the overflow of water that melts relatively dry land. ...
Prediction of absenteeism at work using data mining techniques

Skorikov, M; Hussain, MA; Khan, MR; Akbar, MK; Momen, S; Mohammed, N; Nashin, T [Conference-Full-text]

High absenteeism among employees can be detrimental to an organization as it can result in productivity and economic loss. This paper looks into a case of absenteeism in a courier company in Brazil. Machine learning ...

Now showing items 1-20 of 27

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