Results 211 to 220 of about 104,245 (325)

Editorial: Integrative approaches with BCI and robotics for improved human interaction. [PDF]

Front Robot AI
Nazeer H, Noori FM, Khan RA.
europepmc   +1 more source

Outage Performance of Two-Hop OFDM Systems With Spatially Random Decode-and-Forward Relays

, 2017
Shuping Dang, Justin P. Coon, Gaojie Chen   +2 more
openalex   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

On performance evaluation of NOMA-aided SIMO multi-hop schemes using energy harvesting and fountain coding based information accumulation. [PDF]

PLoS One
An NH, Tu LT, Duy TT, Nguyen TT.
europepmc   +1 more source

Performance Analysis of OSTBC with Hybrid Decode-Amplify and Forward relay network

, 2013
Kanoksak Wannatrong, Mohammed Abul Hayat
openalex   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Short-Packet Communications in Multi-Antenna Cooperative NOMA Networks with Hardware Impairments. [PDF]

Sensors (Basel)
Zhang X, Chen D, Hu J, Sun X, Wang B, Zhang D.   +5 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Psychiatric advance directives: challenges emerging from implementation and possible steps forward. [PDF]

World Psychiatry
Swartz MS, Swanson JW.
europepmc   +1 more source

Cooperative transmission based on decode-and-forward relaying with partial repetition coding

, 2009
Majid Nasiri Khormuji, Erik G. Larsson
openalex   +2 more sources