Zobrazeno 1 - 10
of 5 534
pro vyhledávání: '"Jayawardena, A"'
Multi-user multiple-input, multiple-output (MU-MIMO) designs can substantially increase wireless systems' achievable throughput and connectivity capabilities. However, existing MU-MIMO deployments typically utilize linear processing techniques that,
Externí odkaz:
http://arxiv.org/abs/2409.12930
Publikováno v:
2024 IEEE 25th International Conference on Information Reuse and Integration for Data Science (IRI)
Eye movements can provide informative cues to understand human visual scan/search behavior and cognitive load during varying tasks. Visualizations of real-time gaze measures during tasks, provide an understanding of human behavior as the experiment i
Externí odkaz:
http://arxiv.org/abs/2409.06628
Non-linear detection schemes can substantially improve the achievable throughput and connectivity capabilities of uplink MU-MIMO systems that employ linear detection. However, the complexity requirements of existing non-linear soft detectors that pro
Externí odkaz:
http://arxiv.org/abs/2408.14982
Autor:
Butler-Caddle, Edward, Jayawardena, K. D. G. Imalka, Wijesekara, Anjana, Milot, Rebecca L, Lloyd-Hughes, James
In perovskite solar cells, photovoltaic action is created by charge transport layers (CTLs) either side of the light-absorbing metal halide perovskite semiconductor. Hence, the rates for desirable charge extraction and unwanted interfacial recombinat
Externí odkaz:
http://arxiv.org/abs/2407.02809
Autor:
Jayawardena, Lasal, Yapa, Prasan
Over the past year, the field of Natural Language Generation (NLG) has experienced an exponential surge, largely due to the introduction of Large Language Models (LLMs). These models have exhibited the most effective performance in a range of domains
Externí odkaz:
http://arxiv.org/abs/2404.12596
Autor:
Jayawardena, Lasal, Yapa, Prasan
Paraphrase generation is a pivotal task in natural language processing (NLP). Existing datasets in the domain lack syntactic and lexical diversity, resulting in paraphrases that closely resemble the source sentences. Moreover, these datasets often co
Externí odkaz:
http://arxiv.org/abs/2404.12010
Autor:
Abeysinghe, Yasasi, Mahanama, Bhanuka, Jayawardena, Gavindya, Jayawardana, Yasith, Sunkara, Mohan, Duchowski, Andrew T., Ashok, Vikas, Jayarathna, Sampath
Publikováno v:
International Journal of Multimedia Data Engineering and Management (IJMDEM) 15.1 (2024) 1-20
Understanding how individuals focus and perform visual searches during collaborative tasks can help improve user engagement. Eye tracking measures provide informative cues for such understanding. This article presents A-DisETrac, an advanced analytic
Externí odkaz:
http://arxiv.org/abs/2404.08143
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
Multidrug resistance (MDR) to conventional antibiotics is one of the most urgent global health threats, necessitating the development of effective and biocompatible antimicrobial agents that are less inclined to provoke resistance. Structurally Nanoe
Externí odkaz:
http://arxiv.org/abs/2404.02501