Results 101 to 110 of about 360,181 (239)

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Reduced‐Graphene Oxide Nanofiltration Membranes Intercalated by Conjugated Polyaromatics: Towards High Monovalent Salt Rejections

Advanced Science, EarlyView.
We demonstrate the fabrication of a series of reduced‐GO nanofiltration membranes containing intercalated polyaromatic conjugated molecules of different structural classes. These tuned‐nanochannel membranes perform “deep nanofiltration” with remarkably high monovalent salt rejections and near‐total divalent salt rejections in a large concentration ...
Muskan Sonker, Sankar Nair
wiley   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Charge‐Trap Memory with Engineered Temporal Dynamics for Physically Integrated Reservoir Computing

Small Science
2D material (2DM)‐based reservoir computing (RC) systems combine the advantages of low‐power hardware implementation with lightweight neural network architectures capable of processing complex temporal patterns through minimal training overhead ...
Mengfan Wu, Ziqi Chen, Niannian Yu, Leyao Li, Xinhao Zhang, Xinyi Wan, Yi Zheng, Shuaishuai Xu, Yang Liu, Jiawei Peng, Yao Wang, Junhui Yuan, Jiafu Wang, Xuewen Wang   +13 more
doaj   +1 more source

Sustainable Synaptic Device with Two‐Dimensional Ferroelectric Materials for Neuromorphic Computing

Advanced Science, EarlyView.
α‐In2Se3 based FeSFETs can be utilized as sustainable devices through polarization switching governed by both out‐of‐plane and in‐plane polarizations. Upon reaching a fatigued state, current annealing enabled by conductance modulation can significantly enhance the endurance of FeSFETs.
Jaewook Yoo, Seokjin Oh, Minah Park, Jong Min Song, Hongseung Lee, Seohyeon Park, Sojin Jung, Seongbin Lim, Soohyun Lim, Dongsun Shin, Ji Won Heo, TaeWan Kim, Hagyoul Bae   +12 more
wiley   +1 more source

Quantum-Secure Coherent Optical Networking for Advanced Infrastructures in Industry 4.0

Information
Modern industrial ecosystems, particularly those embracing Industry 4.0, increasingly depend on coherent optical networks operating at 400 Gbps and beyond.
Ofir Joseph, Itzhak Aviv
doaj   +1 more source

The Elephant Trunk Skin Inspires a Highly Sensitive and Deformable, Yet Robust, Armor Skin

Advanced Science, EarlyView.
The study presents the elephant trunk‐inspired armor skin with tactile sensing (ETATS). The ETATS architecture stretches and compresses while resisting puncture and tear, and it enables optical detection of pressure and lateral strain. Morphology‐based decoupling of strain and pressure paves the way to sensitive and deformable, yet robust, soft‐robotic
Jun Chang Yang, Petr Trunin, Behnam Kamare, Lucia Beccai   +3 more
wiley   +1 more source

Cost Modeling and Configuration Optimization for Large-Scale VANET Co-Simulation

Applied Sciences
Vehicular Ad Hoc Network (VANET) traffic–network co-simulation is a foundational methodology for the engineering evaluation of vehicle-to-everything (V2X) protocols and cooperative Intelligent Transportation System (ITS) applications before field ...
Yang Xu, Zhen Cai, Haozheng Han, Xuqiang Shao   +3 more
doaj   +1 more source