Results 231 to 240 of about 699,460 (315)

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Federated learning's uncomfortable truth: why human networks matter more than neural networks. [PDF]

J Am Med Inform Assoc
Peltonen LM, Chomutare T.
europepmc   +1 more source

Miniature Soft Robot With Magnetically Reprogrammable Surgical Functions

Advanced Materials, EarlyView.
Miniature soft robots have great prospects to revolutionize minimally invasive treatments. Here we present a miniature soft robot, which can be reprogrammed to perform five surgical functionalities with six‐degrees‐of‐freedom motions. This soft robot can prospectively make minimally invasive surgery considerably safer and painless, and enable ...
Chelsea Shan Xian Ng, Yu Xuan Yeoh, Nicholas Yong Wei Foo, Keerthana Radhakrishnan, Guo Zhan Lum   +4 more
wiley   +1 more source

Federated Learning with Differential Privacy for Ultrasound Breast Cancer Classification: An Empirical Study. [PDF]

J Imaging
Makhanov N, Abdikenov B, Zhaksylyk T, Karibekov T.   +3 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Information-Theoretic Security and Privacy in Modern Data-Driven Systems. [PDF]

Entropy (Basel)
Seif M, Sun H.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Lightweight and Energy-Aware Intrusion Detection for Industrial IoT Using TinyML and Edge AI. [PDF]

Sci Rep
Nassef L, Alghamdi MI, Chaabane SB, Abbas Q, Alawad WM, Albalawi OH, Alqaisi OI, Fakieh B.   +7 more
europepmc   +1 more source

A Porous Interfacial Photothermal Layer of Fused Core–Shell Carbon‐Polymer Nanospheres for Directional Salt Crystallization and Zero‐Liquid‐Discharge

Advanced Materials, EarlyView.
A hierarchical hydrogel evaporator with a thin, porous photothermal layer of fused core–shell carbon‐polymer nanospheres enables ultrafast interfacial solar evaporation with minimized heat loss and sufficient water supply. Directional advection‐dominated brine transport, coupled with Marangoni‐driven interfacial flow, drives salt away from the active ...
Haokun Shen, Shudi Mao, Xin Stella Zhang, Yihan Shi, Ying Long, Casey Onggowarsito, An Feng, Yuqing Yang, Jiawang Song, Leonard Tijing, Jiangtao Xu, Qiang Fu   +11 more
wiley   +1 more source

MOCVD‐Grown MoS2 Wafers as a Transfer‐Free Platform for Top‐Gate Devices via Dry Interface Engineering

Advanced Materials, EarlyView.
We reveal the electronic origin of hidden interfacial doping in monolayer MoS2 grown by MOCVD, identifying sulfate related and water like species as intrinsic donors. Through dry interface engineering approach, we demonstrate MOCVD‐grown single‐crystal MoS2 wafers as a transfer‐free platform for the reliable evaluation of intrinsic gate stacks and ...
Shuhong Li, Juiteng Chang, Keisuke Atsumi, Kosei Matsumoto, Itsuki Tanaka, Tomonori Nishimura, Kaito Kanahashi, Takahiro Nagata, Jun Nara, Yoshiki Sakuma, Emi Kano, Nobuyuki Ikarashi, Kosuke Nagashio   +12 more
wiley   +1 more source