Results 221 to 230 of about 52,085 (312)

The Evolution of Gas Sensors Into Neuromorphic Systems

Advanced Electronic Materials, EarlyView.
Gas sensors are vital for various applications, but conventional designs rely on separate sensing, memory, and processing units, limiting speed, power efficiency, and adaptability. Neuromorphic gas sensing overcomes these constraints by integrating all functions in a single device.
Kevin Dominguez, Dhananjay D. Kumbhar, Abdul Momin Syed, Regina C. Martin, Nazek El‐Atab   +4 more
wiley   +1 more source

Optimized reconstruction of undersampled Dixon sequences using new memory-efficient unrolled deep neural networks: HalfVarNet and HalfDIRCN. [PDF]

Magn Reson Med
Martin S, Trabelsi A, Guye M, Dubois M, Abdeddaim R, Bendahan D, André R.   +6 more
europepmc   +1 more source

AI‐Assisted Bioelectronics for Personalized Health Management

Advanced Electronic Materials, EarlyView.
Recent advances in artificial intelligence (AI)‐assisted bioelectronics, including materials, device fabrication, working mechanisms, AI‐hardware integration, and proof‐of‐concept applications in digital health management, are summarized. The emergence of AI‐assisted bioelectronic systems and potential solutions to existing challenges are discussed ...
Huiwen Xiong, Changhao Dai, Xuting Chen, Jilie Kong, Dacheng Wei, Xueen Fang, Wenhao Weng   +6 more
wiley   +1 more source

Vehicle Target Detection of Autonomous Driving Vehicles in Foggy Environments Based on an Improved YOLOX Network. [PDF]

Sensors (Basel)
Liu Z, Zhang H, Lin L.
europepmc   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source

Bayesian Graphical Models for Multiscale Inference in Medical Image-Based Joint Degeneration Analysis. [PDF]

Diagnostics (Basel)
Kumar R, Marla K, Ravi P, Sporn K, Srinivas R, Vaja S, Ngo A, Tavakkoli A.   +7 more
europepmc   +1 more source

TEC-CNN: Toward Efficient Compressing of Convolutional Neural Nets with Low-rank Tensor Decomposition [PDF]

Yifan Wang, Liang Feng, Fenglin Cai, Lusi Li, Rui Wu, Jie Li   +5 more
openalex   +1 more source

Rethinking Power Solutions for Healthcare Wearables: From Point‐of‐Care and Episodic use to Continuous Monitoring and Therapeutic Platforms

Advanced Energy and Sustainability Research, EarlyView.
This Perspective examines practical power solutions for wearable healthcare systems, highlighting the limits of standard batteries. It categorizes wearables into four domains—point‐of‐care diagnostics, episodic monitoring, continuous long‐term monitoring, and therapeutic platforms—and analyzes their power needs.
Seokheun Choi
wiley   +1 more source

Applications of artificial intelligence in diagnosis and treatment planning of orthodontics: a narrative review. [PDF]

Saudi Dent J
Azizi S, Hatampoor S, Tahamtan S.
europepmc   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source