• Cover page 

  Unknown author (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)
• Editorial Note 

  Editorial Board (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)
• Contents 

  Unknown author (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)
• The wisdom beyond chemistry: Novel technologies to expedite the modern drug-lead discovery process (Keynote Speech) 

  Udugamasooriya, Gomika. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)
• Seeking the contribution of cross-disciplinary researchers to address the energy crisis 

  Gomes, Chandima (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  The quality of living and the national security of a country is highly dependent upon energy. It is therefore becoming increasingly common for countries to include energy-related matters under the purview of the Ministry ...
• Strengthening the Food System in Sri Lanka to Overcome the Food Crisis 

  Marambe, Buddhi (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  A Food System comprises a complex set of activities, interactions and actors along the food value chain involving production, aggregation, processing, distribution, consumption and disposal of food products. These food ...
• Sales forecasting using improved LSTM deep learning model 

  Yeshani, R.B. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  Time series Analysis (TSA) is used to explore, analyze and predict time series data, and its ultimate goal is to predict future values based on historical data. Sales forecasting plays a vital role in business management; ...
• MRI-ADC image texture feature analysis to differentiate benign and malignant brain tumors 

  Vijithananda, S.M.; De Silva, W.M.K.; Jayatilake, M.L.; Hewavithana, P.B.; Gonçalves, T.C.; Rato, L.M.; Weerakoon, B.S.; Kalupahana, T.D. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  Apparent Diffusion Coefficient (ADC) is one of the most common magnetic resonance imaging (MRI) techniques that are frequently used in the brain tumor diagnosis process. This study is based on extracting statistical ...
• Identify of rubber leaf diseases using convolutional neural network 

  Chamikara, K.W.R.; Shakya, R.D.N.; Jayasinghe, P.K.S.C. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  The rubber tree, or Hevea brasiliensis (H. brasiliensis), is one of the most important commercial crops in the world. It belongs to the family Euphorbiaceae. The Rubber trees are also a major plantation crop in Sri ...
• Real-time model to recognize Sinhala sign language based on CNN-LSTM approach 

  Sandaruwan, A.M.L.S.; Laksiri, P.H.P.N. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  Around the world, hearing-impaired and speech-impaired people are using different kinds of sign languages to communicate with each other and others. In Sri Lanka, they use Sinhala Sign Language (SSL) to communicate. ...
• Identification and classification of Coryza infected chickens in poultry using machine learning 

  Zulmi, Z.M.; Wijerathna, E.H.M.P.M. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  Chicken is the most famous meat in society and the apparently the most salable meat in the markets. The most of the farmers are raising chickens to get eggs and meat for commercial purposes. There is a disease called ...
• CNN-LSTM based approach to predict the Sinhala alphabet letters based on the lip-movement of mute students 

  Bandara, W.M.M.M.; Laksiri, P.H.P.N. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  School-age children with speech disorders have difficulties in communicating with others. They use sign language for communication purposes, but it takes time to understand, learn and provide the appropriate response. ...
• Protein structure predictions for coronavirus non-structural protein 1 (nsp1) 

  Chandrasekara, E.S.K.; Kasuni, A.M.A.P.; Vidanagamachchi, S.M. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  The recently discovered SARS-CoV2 virus provoked a severe coronavirus pandemic (COVID-19). Understanding the structure and function of viral proteins is essential for comprehending viral infection and pathogenesis ...
• Classification of Sri Lankan Coconut Types Using CNN 

  Tharmiya, S.; Gamage, C.Y. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  This research develops an efficient and accurate methodology for classifying the types of coconut in Sri Lanka. At present, coconut-type identification can only be done by the best professionals and those who are ...
• Identifying factors affecting the ICT literacy of the school teachers: A case study of Nuwaragampalatha East educational division 

  Wijesinghe, R.A.; Pathirathna, Y.H.P.S.S. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  The rapid development of Information, Communication and Technologies (ICT) has initiated an unparalleled transformation in schools all over the world. The general purpose of the study is to determine the influence of ...
• Assessment of ICT competence for Effective Learning Process of Undergraduates at Gampaha Wickramarachchi University of Indigenous Medicine Sri Lanka 

  Maleesha, R.P.G.S.; Daranagama, D.A.N.D.; Patirathna, Y.H.P.S.S. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  The broad purpose of this study is to assess information and communication technology skills relevant to effective learning possessed by undergraduate students. The study made use of a descriptive survey research design. ...
• Automated prediction of computer specification for university students 

  Senarathna, G.P.R.L.; Prabuddhi, W.A.M. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  Undergraduates need a laptop computer for their academic program. Most of the students tend to buy a laptop/computer for their higher studies as it becomes an essential device for the education. However, when buying ...
• Profanity word detection for Sinhala language using deep learning 

  Kumara, S.K.H.R.S.; Jayaneththi, J.K.D.B.G. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  In the present world, content censorship is an important concept. When it comes to the Sinhala language, several studies have been conducted on textbased content censorship methods, but not for audio content. The Sri ...
• Prediction model for assessing the Sri Lankan employees' perception on remote working in post-covid-19 pandemic 

  Abesiri, S.A.D.D.; Rupasingha, R.A.H.M. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  It is important to protect all employees from contacting COVID-19 since they want to continue their careers. Therefore, the remote working process has been sped up for continuing the work without any interruptions during ...
• A Comparative study of predicting the award-winning books using machine learning algorithms 

  Wijekoon, S.M.S.T.; Rupasingha, R.A.H.M. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)

  Most people around the world are very fond of reading books offline and online. Different people have different preferences when it comes to choosing books and it has become important to find better books for readers. ...

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