Results 151 to 160 of about 391,322 (253)

BLSAM-TIP: Improved and robust identification of tyrosinase inhibitory peptides by integrating bidirectional LSTM with self-attention mechanism. [PDF]

PLoS One
Ahmed S, Schaduangrat N, Chumnanpuen P, Mahmud SMH, Goh KOM, Shoombuatong W.   +5 more
europepmc   +1 more source

FNSAM: Image super-resolution using a feedback network with self-attention mechanism. [PDF]

Technol Health Care, 2023
Huang Y, Wang W, Li M.
europepmc   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Application of a Transfer Learning Model Combining CNN and Self-Attention Mechanism in Wireless Signal Recognition. [PDF]

Sensors (Basel)
Wei W, Zhu C, Hu L, Liu P.
europepmc   +1 more source

Detection of Rice Pests Based on Self-Attention Mechanism and Multi-Scale Feature Fusion. [PDF]

Insects, 2023
Hu Y, Deng X, Lan Y, Chen X, Long Y, Liu C.   +5 more
europepmc   +1 more source

Understanding the Burden of Orofacial Involvement and Patient Treatment Preferences in Systemic Sclerosis: Results From a Large International Survey

Arthritis Care &Research, EarlyView.
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni, Lee Shapiro, Deana Gibbs, Zsuzsanna H. McMahan, Michael Hughes   +4 more
wiley   +1 more source

A sequential recommendation method using contrastive learning and Wasserstein self-attention mechanism. [PDF]

PeerJ Comput Sci
Liang S, Ma J, Zhao Q, Chen T, Lu X, Ren S, Zhao C, Fu L, Ding H.   +8 more
europepmc   +1 more source

Device-Free Tracking through Self-Attention Mechanism and Unscented Kalman Filter with Commodity Wi-Fi. [PDF]

Sensors (Basel), 2023
Nkabiti KP, Chen Y.
europepmc   +1 more source

Factors Associated with Fibromyalgia Diagnosis amongst People Meeting Criteria: Results from UK Biobank

Arthritis Care &Research, Accepted Article.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification. This study
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

Lumbar and pelvic CT image segmentation based on cross-scale feature fusion and linear self-attention mechanism. [PDF]

Sci Rep
Li C, Chen L, Liu Q, Teng J.
europepmc   +1 more source