Results 121 to 130 of about 31,162 (171)

Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays

Advanced Sensor Research, EarlyView.
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley   +1 more source

Light-powered end-to-end neutron detection and imaging with an edge-deployed optical AI chip. [PDF]

Sci Rep
Lin S, Zhu H, Clayton S, Morris CL, Pan DZ, Tang Z, Chen RT, Wang Z.   +7 more
europepmc   +1 more source

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

Advanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su, Jian Qin, Hui Shen, Ling‐Li Zeng, Baojuan Li, Jin Liu, Xuemei Song, Li Liu, Weidan Pu, Tongjian Bai, Huaning Wang, Hong Yin, Kai Wang, Lingjiang Li, Dewen Hu   +14 more
wiley   +1 more source

Vision-Based People Counting and Tracking for Urban Environments. [PDF]

J Imaging
Nurseitov D, Bostanbekov K, Toiganbayeva N, Zhalgas A, Yedilkhan D, Amirgaliyev B.   +5 more
europepmc   +1 more source

Ecosystem‐Centered Robot Design: Toward Ecoresorbable Sustainability Robots (ESRs)

Advanced Science, EarlyView.
Robots exploring natural ecosystems can support monitoring and conservation, but must adopt ecosystem‐centered design to avoid pollution, waste, and damage. This review proposes guidelines for co‐designing ecoresorbable sustainability robots (ESRs), uniting materials, robotics, and ecological contexts in a single framework.
Tülin Yılmaz Nayır, Yuan Fang, Consuelo Contreras, Andrew K. Schulz, Florian Hartmann   +4 more
wiley   +1 more source

Pruning random resistive memory for optimizing analog AI. [PDF]

Nat Commun
Li Y, Wang S, Zhao Y, Wang S, Wang B, Zhang W, He Y, Lin N, Cui B, Chen X, Zhang S, Jiang H, Lin P, Zhang X, Zhang F, Qi X, Wang Z, Xu X, Shang D, Liu Q, Wang H, Cheng KT, Liu M.   +22 more
europepmc   +1 more source

Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review

Advanced Science, EarlyView.
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao, Ata Golparvar, Mohammad Javad Bathaei, Filipe Arroyo Cardoso, Clementine M. Boutry   +4 more
wiley   +1 more source

Towards an optimized paradigm: generative adversarial networks and 3D modeling in landscape design and generation. [PDF]

PLoS One
He M.
europepmc   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source

Quantum-enhanced LSTM for predictive maintenance in industrial IoT systems. [PDF]

MethodsX
K S, S V, R S, D R.
europepmc   +1 more source