Zobrazeno 1 - 10
of 7 720
pro vyhledávání: '"Weerasinghe AS"'
Affect and cognitive load influence many user behaviors. In this paper, we propose Motion as Emotion, a novel method that utilizes fine differences in hand motion to recognise affect and cognitive load in virtual reality (VR). We conducted a study wi
Externí odkaz:
http://arxiv.org/abs/2409.12921
Autor:
Udayantha, Dinuka Sandun, Weerasinghe, Kavindu, Wickramasinghe, Nima, Abeyratne, Akila, Wickremasinghe, Kithmin, Wanigasinghe, Jithangi, De Silva, Anjula, Edussooriya, Chamira U. S.
The neonatal period is the most vulnerable time for the development of seizures. Seizures in the immature brain lead to detrimental consequences, therefore require early diagnosis. The gold-standard for neonatal seizure detection currently relies on
Externí odkaz:
http://arxiv.org/abs/2406.16908
Autor:
Rumalshan, Obadage Rochana, Weerasinghe, Pramuka, Shaheer, Mohamed, Gunathilake, Prabhath, Dayaratna, Erunika
Publikováno v:
Lecture Notes in Networks and Systems: 465 (2022) 479-488
The extreme popularity over the years for railway transportation urges the necessity to maintain efficient railway management systems around the globe. Even though, at present, there exist a large collection of Computer Aided Designed Railway Technic
Externí odkaz:
http://arxiv.org/abs/2405.13229
Autor:
Manchanda, Ashish, Jayaraman, Prem Prakash, Banerjee, Abhik, Zaslavsky, Arkady, Weerasinghe, Shakthi, Huang, Guang-Li
Internet of Things (IoT) has seen a prolific rise in recent times and provides the ability to solve several key challenges faced by our societies and environment. Data produced by IoT provides a significant opportunity to infer context that is key fo
Externí odkaz:
http://arxiv.org/abs/2407.00013
Autor:
Wiratunga, Nirmalie, Abeyratne, Ramitha, Jayawardena, Lasal, Martin, Kyle, Massie, Stewart, Nkisi-Orji, Ikechukwu, Weerasinghe, Ruvan, Liret, Anne, Fleisch, Bruno
Retrieval-Augmented Generation (RAG) enhances Large Language Model (LLM) output by providing prior knowledge as context to input. This is beneficial for knowledge-intensive and expert reliant tasks, including legal question-answering, which require e
Externí odkaz:
http://arxiv.org/abs/2404.04302
Autor:
Weerasinghe, Keshara, Janapati, Saahith, Ge, Xueren, Kim, Sion, Iyer, Sneha, Stankovic, John A., Alemzadeh, Homa
Emergency Medical Services (EMS) responders often operate under time-sensitive conditions, facing cognitive overload and inherent risks, requiring essential skills in critical thinking and rapid decision-making. This paper presents CognitiveEMS, an e
Externí odkaz:
http://arxiv.org/abs/2403.06734
Real-time recognition and prediction of surgical activities are fundamental to advancing safety and autonomy in robot-assisted surgery. This paper presents a multimodal transformer architecture for real-time recognition and prediction of surgical ges
Externí odkaz:
http://arxiv.org/abs/2403.06705
Autor:
Kovačević, Nikola, Deja, Jordan Aiko, Weerasinghe, Maheshya, Pucihar, Klen Čopič, Kljun, Matjaž
While maps provide upfront content, this might not always be the most effective way for users to remember information. With the proliferation of interactive displays for tourists and visitors in public spaces, we can create a more playful user experi
Externí odkaz:
http://arxiv.org/abs/2402.06741
Autor:
González, Javier, Wong, Cliff, Gero, Zelalem, Bagga, Jass, Ueno, Risa, Chien, Isabel, Oravkin, Eduard, Kiciman, Emre, Nori, Aditya, Weerasinghe, Roshanthi, Leidner, Rom S., Piening, Brian, Naumann, Tristan, Bifulco, Carlo, Poon, Hoifung
The rapid digitization of real-world data offers an unprecedented opportunity for optimizing healthcare delivery and accelerating biomedical discovery. In practice, however, such data is most abundantly available in unstructured forms, such as clinic
Externí odkaz:
http://arxiv.org/abs/2311.01301
Approximate Bayesian Computation (ABC) has gained popularity as a method for conducting inference and forecasting in complex models, most notably those which are intractable in some sense. In this paper we use ABC to produce probabilistic forecasts i
Externí odkaz:
http://arxiv.org/abs/2311.01021