Results 171 to 180 of about 36,181 (276)

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

WISDEM: a hybrid wireless integrated sensing detector for simultaneous EEG and MRI. [PDF]

Nat Methods
Chen Y, Qian W, Razansky D, Yu X, Qian C.   +4 more
europepmc   +1 more source

Seismic Behavior of Reinforced Concrete Moment-Resisting Frames with Steel Damper Columns under Pulse-like Ground Motion Sequences: Evaluation Using Extended Incremental Critical Pseudo-Multi Impulse Analysis

A reinforced concrete (RC) moment-resisting frame (MRF) with steel damper columns (SDCs) can be considered a damage-tolerant structure. SDCs behave as sacrificial members that absorb seismic energy prior to RC beams and columns. The behavior of such a structure depends on the strength balance of the RC MRF and SDCs, and the pinching behavior of RC ...
openaire   +1 more source

Science Fiction in the United States [PDF]

, 2014
Canavan, Gerry
core   +2 more sources

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

The evolution characteristics of leakage current in traction network surge arresters under complex operating conditions. [PDF]

Sci Rep
Pengxiong W, Lifeng F, Yongqiang G, Fuqiang T.   +3 more
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Cardiorespiratory Markers of Type 2 Diabetes: Machine Learning-Based Analysis. [PDF]

JMIR Diabetes
Oliveira FMGSA, Cavalcanti SM, Khoo MCK.
europepmc   +1 more source

Signal processing for distribution network monitoring [PDF]

, 1999
Jensen, Kåre Jean
core  

The Open‐Source Paradox: Africa's Digital Sovereignty and the Structural Limits of Artificial Intelligence Autonomy

AI &Innovation, EarlyView.
ABSTRACT Open‐source artificial intelligence is widely promoted as a democratising pathway to digital sovereignty for African states, offering access to frontier architectures without prohibitive capital investment. This paper investigates whether open‐source AI represents a credible route to autonomy or generates a new form of structural dependency ...
Ololade A. Shonubi
wiley   +1 more source