Results 91 to 100 of about 16,556,741 (301)

An Empirical Study of Tokenization Strategies for Biomedical Information Retrieval [PDF]

, 2006
Due to the great variation of biological names in biomedical text, appropriate tokenization is an important preprocessing step for biomedical IR. Despite its importance, there has been little study on the evaluation of various tokenization strategies for
Jiang, Jing, Chengxiang Zhai, Zhai, ChengXiang, Jing Jiang   +3 more
core   +1 more source

Optimizing poultry audio signal classification with deep learning and burn layer fusion

Journal of Big Data
This study introduces a novel deep learning-based approach for classifying poultry audio signals, incorporating a custom Burn Layer to enhance model robustness.
Esraa Hassan, Samar Elbedwehy, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Nora El-Rashidy   +4 more
doaj   +1 more source

Dimethyl Fumarate, But Not Rituximab, Reduces Serum GFAP Levels and PIRMA in Relapsing–Remitting MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) levels are believed to reflect mainly acute and chronic disease processes in multiple sclerosis (MS), respectively. In this study, we investigated whether dimethyl fumarate (DMF) and rituximab (RTX) differentially affect these biomarkers.
F. Shawket, J. Lycke, J. Salzer, F. Piehl, K. Fink, N. Lange, J. Mellergård, C. Malmeström, P. Sundström, I. Erngren, A. al‐Grety, E. Freyhult, K. Kultima, J. Burman, A. Svenningsson   +14 more
wiley   +1 more source

Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques

Journal of Big Data
Precisely evaluating text similarity remains a fundamental challenge in Natural Language Processing (NLP), with widespread applications in plagiarism detection, information retrieval, semantic analysis, and recommendation systems.
Esraa Hassan, Amira Samy Talaat, M. A. Elsabagh   +2 more
doaj   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Teaching information retrieval using research questions to encourage creativity and assess understanding [PDF]

, 2007
The study of information retrieval has increased in interest and importance with the explosive growth of online information in recent years. Learning about information retrieval within formal courses of study enables users of search engines to use them
Gareth J. F. Jones, Jones, Gareth J.F.
core   +1 more source

Overview of the personalized and collaborative information retrieval (PIR) track at FIRE-2011 [PDF]

, 2011
The Personalized and collaborative Information Retrieval (PIR) track at FIRE 2011 was organized with an aim to extend standard information retrieval (IR) ad-hoc test collection design to facilitate research on personalized and collaborative IR by ...
Ganguly, Debasis, Curtis, Keith, Leveling, Johannes, Li, Wei B., Jones, Gareth J.F.   +4 more
core   +2 more sources

Privacy-Preserving Data Sharing and Computing for Outsourced Policy Iteration with Attempt Records from Multiple Users

Applied Sciences
Reinforcement learning is a machine learning framework that relies on a lot of trial-and-error processes to learn the best policy to maximize the cumulative reward through the interaction between the agent and the environment.
Bangyan Chen, Jun Ye
doaj   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

MobileMamba-DETR: Efficient Dual-Modal Vehicle Detection for Autonomous Driving via Multi-Scale Selective State Space Fusion

Applied Sciences
Robust autonomous-driving detection requires using RGB texture and infrared thermal cues without sacrificing real-time inference. Existing RGB-IR detectors often rely on static feature concatenation or quadratic attention, which makes them sensitive to ...
Bo Li, Chunhao Li, Yuheng Li
doaj   +1 more source