Results 171 to 180 of about 486,951 (294)

Flexible Pressure Sensor With Multi‐Stage Microdome Structure Enabling Ultra‐Wide Linear Range and High Sensitivity for Wearable Applications

Advanced Science, EarlyView.
An MXene‐based flexible piezoresistive sensor featuring a multi‐stage microdome architecture is developed, which simultaneously realizes high sensitivity of 11.57 kPa−1 and an ultra‐broad detection range up to 2500 kPa. When integrated into palm and sole sensor arrays combined with deep learning algorithms, it achieves a recognition accuracy of over 95%
De‐Yu Kong, Kai Wang, Jia‐Nan Ma, Bo‐Ma, Teng‐Teng Gao, Hai‐Wang Zhang, Hong‐Tao Wang, Qiang Li, Hui Gao, Sheng‐Bo Sang   +9 more
wiley   +1 more source

Schizophrenia detection via lobe-wise and overall EEG features using VMD and bayesian-optimized machine learning models. [PDF]

Front Neurosci
Sravanthi GS, Sharma LD.
europepmc   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source

From Picture Archiving and Communication System to AI production: development of a preprocessing pipeline for musculoskeletal radiological images from real-world data sources : results from the AI to Revolutionize the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project. [PDF]

Bone Jt Open
Farrow L, Zhong M, Wilde K, Anderson L.
europepmc   +1 more source

Optical Charge Trap Memory Based on Graphene/ZnO Heterostructures for Long‐Term Retention and Adaptive Learning

Advanced Electronic Materials, EarlyView.
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin, Junhyung Kim, Hyungdoh Lee, Yixuan Dou, Jacob T. Heiden, Seung Eun Lee, Jinwoo Song, Lina Quan, Giulia Tagliabue, Min Seok Jang, Himchan Cho   +10 more
wiley   +1 more source

Artificial intelligence models for point-of-care ultrasound diagnostics in dogs. [PDF]

Front Vet Sci
Martinez R, Amezcua KL, Hernandez Torres SI, Winter T, Yankin I, Venn E, Snider EJ, Edwards T.   +7 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Early prediction of wind turbine anomalies using 1D-CNN and temporal feature engineering on multi-source SCADA data. [PDF]

Sci Rep
Ata MM, Osama S, Ibraheem MR, Abas AR.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

PCSA-Net: pyramid channel and spatial attention network for multiclass renal disease diagnosis using CT images. [PDF]

Sci Rep
Tawfik N, Emara HM, El-Shafai W, Soliman NF, Algarni AD, El-Samie FEA.   +5 more
europepmc   +1 more source