Results 81 to 90 of about 2,719,560 (294)

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Accurate Fitness Activity Recognition Based on IMU Sensors Using Deep Residual Bidirectional Gated Recurrent Unit Network

This study presents an accurate and efficient approach to fitness activity recognition by combining inertial measurement unit (IMU) sensor data with deep learning techniques.
Anuchit Jitpattanakul, Sakorn Mekruksavanich   +1 more
core   +1 more source

Implementation of Gated Recurrent Unit, Long Short-Term Memory and Derivatives for Gold Price Prediction [PDF]

Gold is a precious metal with high resale value, often considered a safe investment as its price typically rises with inflation, attracting investors. However, even slight changes in gold prices can have significant impacts.
Syarif, Yulia, Waeyusoh, Nuralisa, Putri, Amanda Iksanul, Aisyi, Nasywa Rihadatul   +3 more
core   +1 more source

and gated recurrent unit

, 2022
Due to the increasing sophistication of cyber-attacks, intrusion detection systems need to be improved constantly. Each machine learning classifier has different advantages against intrusion detection and combining the advantages of different classifiers
Banu Günel Kılıç, Sarikaya, Alper, Mehmet Demirci, DEMİRCİ, MEHMET, Günel Kılıç, Banu, Alper Sarıkaya, GÜNEL KILIÇ, BANU   +6 more
core   +1 more source

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

Advanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing, Yang Yang, Zichen Hong, Chunhui Tian, Huiyu Chu, Susanne Clara Prokop, Hongwei Cai, Mingxia Gu, Jason Tchieu, Ken Mackie, Feng Guo   +10 more
wiley   +1 more source

Prediction model for dam deformation based on bi-directional gated recurrent unit network

Shuili Shuiyun Gongcheng Xuebao
Accurate and reliable prediction of dam deformation is of paramount importance for ensuring structural safety, operational stability, and long-term performance monitoring of hydraulic infrastructure.
YAO Jiachi, ZHAO Erfeng, LIU Feng, SONG Guihua   +3 more
doaj   +1 more source

Forex Daily Price Prediction Using Gated Recurrent Unit

, 2023
The foreign exchange (Forex) market is globally recognized as one of the most prominent financial markets. In this paper, we focus on three major currency pairs: EUR/USD, GBP/USD, and USD/CHF, spanning from January 2007 to July 2022.
Lim, Kian Ming, Lim, Jit Yan, Ong, Jia You, Lee, Chin Poo   +3 more
core   +1 more source

Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing

Advanced Science, EarlyView.
Wearable sweat sensing relies not only on chemical detection but also on controlled biofluid management. This Review integrates sweat physiology, induction strategies, and microfluidic sampling architectures, demonstrating how flux, transport, and refreshment shape measurement reliability.
Soyoung Shin, Wei Gao
wiley   +1 more source

Applicative Bidirectional Programming with Lenses [PDF]

, 2015
A bidirectional transformation is a pair of mappings between source and view data objects, one in each direction. When the view is modified, the source is updated accordingly with respect to some laws.
Matsuda, Kazutaka, Meng Wang, Wang, Meng, Kazutaka Matsuda   +3 more
core   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source