• 7th International Conference in Information Technology Research 2022 (Pre Text) 

  Sumathipala, KASN; Ganegoda, GU; Piyathilake, ITS; Manawadu, IN [Conference-Abstract]
• Polynomial regression real patient state estimate for clinical decision-making 

  Hung, CY; Wang, CY; Chen, KW; Yang, CY [Conference-Abstract]

  With the progress of the times, science and technology are changing with each passing day. Clinical decision has become more and more important in medicine nowadays. Clinical decision not only helps clinicians to get ...
• Analysis and prediction of severity of united states countrywide car accidents based on machine learning techniques 

  Boyagoda, LS; Nawarathna, LS [Conference-Abstract]

  The number of vehicles and road transportation increases rapidly daily. Hence the frequency of road accidents and crashes also gradually increase with it. Analyzing traffic accidents is one of the essential concerns in ...
• Walkable space estimation for visually impaired persons in 3d simulated environment 

  Silva, CS; Wimalaratne, P [Conference-Abstract]

  Environmental perception is the process by which visually impaired people tend to sense, understand, and build awareness of the walking environment and the surrounding objects. Walkable space includes any space that the ...
• Automating the initial configuration of sdn switches in a hybrid-sdn environment 

  Bolonghe, WKN; Rupasinghe, PM; Umayanga, KSB; Weerasiri, KLHI; De Silva, D; Wijesiri, P [Conference-Abstract]

  At present for SDN environments, there are many proposed mechanisms to improve its reliability, and performance. The challenges faced by SDN networks are mainly related to Scalability, Reliability and Performance. As an ...
• Gender and age estimation from facial images using deep learning 

  Thaneeshan, R; Thanikasalam, K; Pinidiyaarachchi, A [Conference-Abstract]

  Automated gender and age estimation from facial images are important for many realworld applications. Although, several studies have been proposed in the past, most of them are proposed as individual models and a ...
• Automated commentary generation based on fps gameplay analysis 

  Mamoru, DLS; Panditha, AD; Perera, ASSJ; Ganegoda, GU [Conference-Abstract]

  Video games evolved into competitive sports within a short span of time. Commentary plays a key role in any sport. Commentary is useful to understand the game as well as to capture key moments of the game. The balance ...
• Using CNN to identify the condition of edible fish 

  Mahendran, R; Seneviratne, GP [Conference-Abstract]

  Evaluating the edibility of fish by it’s freshness is an essential process for the fisheries industry as it contributes to customers’ health and the taste of food. In general, identifying freshness of fish is a difficult ...
• A dual cnn architecture for single image raindrop and rain streak removal 

  Sivaanpu, A; Thanikasalam, K [Conference-Abstract]

  Visual quality of rainy images are considerably poor due to the raindrops in camera lens and the rain streaks in the background scenes. Although the raindrops and rain streaks are appeared together in real-world rainy ...
• Eduzone – a educational video summarizer and digital human assistant for effective learning 

  Wangchen, T; Tharindi, PN; Chaveena De Silva, KCC; Sandeepa, WD; Kodagoda, N; Suriyawansa, K [Conference-Abstract]

  The availability of technology and the expansive nature of the internet have created a surge in the demand for online learning. Despite so many advantages, there are some existing drawbacks related to online learning. ...
• Multi-ai based wireless sensor node for forest fire detection 

  Pieris, TPD; Kulasekera, AL; Chathuranga, KVDS [Conference-Abstract]

  Forest fires are one of the major environmental issues in many countries around the world. There are many ways to detect these forest fires, such as optical camera-based systems, satellite-based systems, fire prediction ...
• Closed-loop dc motor embedded control platform based on arm® for distance learning experiments 

  Ganganath, R; Ranganath, C; Jayasekara, DC [Conference-Abstract]

  DC motor controlling is known to be one of the most crucial application in the Engineering world, where precise motion control is commonly found in industrial and commercial applications. Hence, learning the fundamentals ...
• Intelligent wheelchair with emotion analysis and voice recognition 

  Perera, S; Gamage, S; Weerasinghe, C; Jayawardena, C; Pathinayake, K; Rajapaksha, S [Conference-Abstract]

  Intelligent wheelchairs are becoming more and more prevalent in contemporary life, and the peaceful interaction of humans with wheelchairs is one of the most popular research topics. The development of a voice recognition ...
• Design and testing of an arduino-based network jammer device 

  Najath, MNM; Herath, HMDS; Rajapakse, A [Conference-Abstract]

  A computer network is described as two or more devices connecting and communicating, each known as a computer network. These types of networks work on wired and wireless mediums. A sort of transmission medium is wired ...
• Development of nonlinear dynamics simulator for 2-dof ball balancing platform to assist distance learning of control systems 

  Ranganath, C; Annasiwaththa, B [Conference-Abstract]

  In a wide range of control applications, balance control systems are known to be one of the most crucial and challenging applications. 2-DOF ball balancing platform is an experimental platform which can perform various ...
• Computer vision based navigation robot 

  Haputhanthri, M; Himasha, C; Balasooriya, H; Herath, M; Rajapaksha, S; Harshanath, SMB [Conference-Abstract]

  The majority of industrial environments and homewares need help when exploring unknown locations owing to a lack of understanding about the building structure and the various impediments that may be faced while transporting ...
• Elderly care home robot using emotion recognition, voice recognition and medicine scheduling 

  Kularatne, BMUS; Basnayake, BMJN; Sathmini, PDLAM; Sewwandi, GVU; Rajapaksha, S; De Silva, D [Conference-Abstract]

  The robotic concept is used for several tasks to easier human day-to-day tasks. There are various recreational studies have been done on the elderly people’s care system. In this study, the system can identify the elderly ...
• Elderly care home robot using emotion recognition, voice recognition and medicine scheduling 

  Kularatne, BMUS; Basnayake, BMJN; Sathmini, PDLAM; Sewwandi, GVU; Rajapaksha, S; De Silva, D [Conference-Abstract]

  The robotic concept is used for several tasks to easier human day-to-day tasks. There are various recreational studies have been done on the elderly people’s care system. In this study, the system can identify the elderly ...
• Peer learning – an interactive and collaborative elearning application for college student 

  Sirithunga, HAPM; Deshan, BGS; Sigera, PHD; Udagedara, PY; Samarakoon, U; Kumari, S [Conference-Abstract]

  Since the start of the COVID-19 epidemic in 2020, the entire educational system has been challenging and Sri Lanka economic crisis, but this is especially effect for students who are now enrolled. This developmental ...
• A visually interpretable forensic deepfake detection tool using anchors 

  Jayakumar, K; Skandhakumar, N [Conference-Abstract]

  “Deepfakes” have seen a dramatic rise in recent times and are becoming quite realistic and indistinguishable with the advancement of deepfake generation techniques. Promising strides have been made in the deepfake detection ...

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