Results 81 to 90 of about 38,453 (306)

Organic Electrochemical Transistors for Neuromorphic Devices and Applications

Advanced Materials, EarlyView.
Organic electrochemical transistors are emerging as promising platforms for neuromorphic devices that emulate neuronal and synaptic activities and can seamlessly integrate with biological systems. This review focuses on resultant organic artificial neurons, synapses, and integrated devices, with an emphasis on their ability to perform neuromorphic ...
Kexin Xiang, Jiajun Song, Hong Liu, Junxin Chen, Feng Yan   +4 more
wiley   +1 more source

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, EarlyView.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

Well Logging Reconstruction Based on a Temporal Convolutional Network and Bidirectional Gated Recurrent Unit Network with Attention Mechanism Optimized by Improved Sand Cat Swarm Optimization

Energies
Geophysical logging plays a very important role in reservoir evaluation. In the actual production process, some logging data are often missing due to well wall collapse and instrument failure.
Guanqun Wang, Haibo Teng, Lei Qiao, Hongtao Yu, You Cui, Kun Xiao   +5 more
semanticscholar   +1 more source

Mapping of Physiological Signals From Wireless Battery‐Free Implants With Plane‐Wave Ultrasound Imaging

Advanced Materials Technologies, EarlyView.
Combined approach of electromagnetic (Power) and ultrasound (data harvesting) waves is proposed to address the miniaturized ultrasonic implants. Electromagnetic waves trigger the piezoelectric element to generate the acoustic pulse which is modulated by the variations in the sensor's impedance.
Anam Bhatti, Hugo Guillot, Ouafae Firdaouissi, Mohammed Irar, Lionel Rousseau, Clément Hébert, Maxime Lafond   +6 more
wiley   +1 more source

Video Description using Bidirectional Recurrent Neural Networks

, 2016
Although traditionally used in the machine translation field, the encoder-decoder framework has been recently applied for the generation of video and image descriptions.
Bolaños, Marc, Casacuberta, Francisco, Peris, Álvaro, Radeva, Petia   +3 more
core   +1 more source

Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit

Advanced Robotics Research, EarlyView.
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam, Saikat Sahoo, Yoosun Kim, Dongmin Go, Jeongho Choo, Cheonkyu Park, Seungtae Yang, Giuk Lee   +7 more
wiley   +1 more source

TG-PGAT: An AIS Data-Driven Dynamic Spatiotemporal Prediction Model for Ship Traffic Flow in the Port

Journal of Marine Science and Engineering
Accurate prediction of ship traffic flow is essential for developing intelligent maritime transportation systems. To address the complexity of ship traffic flow data in the port and the challenges of capturing its dynamic spatiotemporal dependencies, a ...
Jianwen Ma, Yue Zhou, Yumiao Chang, Zhaoxin Zhu, Guoxin Liu, Zhaojun Chen   +5 more
doaj   +1 more source

Towards Bidirectional Hierarchical Representations for Attention-Based Neural Machine Translation

, 2017
This paper proposes a hierarchical attentional neural translation model which focuses on enhancing source-side hierarchical representations by covering both local and global semantic information using a bidirectional tree-based encoder.
Chao, Lidia S., Wong, Derek F., Xiao, Tong, Yang, Baosong, Zhu, Jingbo   +4 more
core   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Predicting Smart Office Electricity Consumption in Response to Weather Conditions Using Deep Learning

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
This study investigates the intricate relationship between electricity consumption in smart office environments, temporal elements such as time, and external factors such as weather conditions.
Zikri Wahyuzi, Ahmad Luthfi, Dhomas Hatta Fudholi   +2 more
doaj   +1 more source