Results 51 to 60 of about 17,696,681 (275)

Modelling Without a Modelling Language [PDF]

, 2018
Developments in computer hardware and programming languages, in this case C++, have made it feasible to write models of concurrent systems under verification in the programming language, instead of some established modelling language such as Promela. While this does not reduce the usefulness of modelling languages, it offers new possibilities that may ...
Valmari Antti, Lappalainen Vesa
openaire   +3 more sources

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye, Chimezie Okwuonu, Evelyn Idam, Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Zinnah Aloziem, Blossom Amamchukwu, Patience Elimia, Mkpoikanabasi Obot‐Obot, Henry Mbakwe, Praises Maduagwuna, Olatunji Akinrodoye, Chiamaka Anyanwu, Benjamin Anyanwu, Adedamola Akinsiku, Oluwatoyin A. Akinsiku, Muzamil O. Hassan, Fatiu A. Arogundade, Olalekan E. Ojo, Homayemem Weli, Jesupelumi Adenihun, Aderemi Adelaja, Ebun Bamgboye, Olalekan Olatise, Ade E. Faponle, Ayoola Odeyemi, Michael Muoka, Stephen Asaolu, Qudrat Busari, Blessing Dawudu, Michael Naiyeju, Rasheed A. Balogun   +33 more
wiley   +1 more source

Position Models and Language Modeling [PDF]

, 2008
In statistical language modelling the classic model used is n -gram. This model is not able however to capture long term dependencies, i.e. dependencies larger than n . An alternative to this model is the probabilistic automaton. Unfortunately, it appears that preliminary experiments on the use of this model in language modelling is not yet competitive,
Arnaud Zdziobeck, Franck Thollard
openaire   +2 more sources

Paraphrastic language models and combination with neural network language models [PDF]

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
In natural languages multiple word sequences can represent the same underlying meaning. Only modelling the observed surface word sequence can result in poor context coverage, for example, when using n-gram language models (LM). To handle this issue, paraphrastic LMs were proposed in previous research and successfully applied to a US English ...
Liu, X, Gales, MJF, Woodland, PC
openaire   +1 more source

QARR-QGF: A Dual-Module Data Augmentation Framework for Enhanced Few-Shot Question Answering

IEEE Access
Few-shot question answering (QA) aims to train effective QA models using very limited annotated data, but existing approaches often struggle to generalize due to insufficient training examples. This paper proposes a two-stage data augmentation framework,
Siao Wah Tan, Chin Poo Lee, Kian Ming Lim, Ali Alqahtani   +3 more
doaj   +1 more source

BERT-Based Approach for Greening Software Requirements Engineering Through Non-Functional Requirements

IEEE Access, 2023
The incorporation of sustainability principles during the requirements engineering phase of the development life cycle constitutes greening software requirements.
Ahmad F. Subahi
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

Language Models as Agent Models

Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Language models (LMs) are trained on collections of documents, written by individual human agents to achieve specific goals in an outside world. During training, LMs have access only to text of these documents, with no direct evidence of the internal states of the agents that produced them -- a fact often used to argue that LMs are incapable of ...
openaire   +2 more sources

Spiral Language Modeling

CoRR, 2021
In almost all text generation applications, word sequences are constructed in a left-to-right (L2R) or right-to-left (R2L) manner, as natural language sentences are written either L2R or R2L. However, we find that the natural language written order is not essential for text generation. In this paper, we propose Spiral Language Modeling (SLM), a general
Yong Cao, Yukun Feng, Shaohui Kuang, Gu Xu   +3 more
openaire   +3 more sources

Hybrid DNN-HMM-Based Approach for Telugu Language Speech Recognition

IEEE Access
In this paper, we discuss our research work in Telugu Indian language speech data for building a large language vocabulary to build Telugu speech recognition system.
M. Rama Rajeswari, Suryakanth V. Gangashetty   +1 more
doaj   +1 more source