Results 101 to 110 of about 288,791 (262)

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

Advanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu, Ke Zhang, Zelei Miao, Gaoyi Yang, Yujing Huang, Ju‐Sheng Zheng   +5 more
wiley   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

A Fully Self‐Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis

Advanced Science, EarlyView.
This study reports a system‐level fully self‐powered digital wearable system (FS‐DWS) for the auxiliary treatment of plantar fasciitis. By integrating arch support, energy harvesting, wearable sensing, and machine learning‐driven closed‐loop visualized feedback, the system enables effective plantar pressure reduction and self‐powered, real‐time plantar
Jiacheng Hou, Ying Hong, Shiyuan Liu, Qiqi Pan, Jingyu Zhang, Qingyang Xu, Qiyi Nie, Zhonghe Wang, Liming Xin, Yilong Wang, Biao Wang   +10 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

State of health estimation of lithium-ion battery based on CNN–WNN–WLSTM

Complex & Intelligent Systems
Accurate and stable estimation of the state of health (SOH), which is one of the critical indicators to characterize the ability of lithium-ion (Li-ion) batteries to store and release energy, is critical in the stable driving of electric vehicles.
Quanzheng Yao, Xianhua Song, Wei Xie
doaj   +1 more source

Pedestrian detection based on improved LeNet-5 convolutional neural network

Journal of Algorithms & Computational Technology, 2019
In this article, according to the real-time and accuracy requirements of advanced vehicle-assisted driving in pedestrian detection, an improved LeNet-5 convolutional neural network is proposed. Firstly, the structure of LeNet-5 network model is analyzed,
Chuan-Wei Zhang, Meng-Yue Yang, Hong-Jun Zeng, Jian-Ping Wen   +3 more
doaj   +1 more source

AI‐Assisted Self‐Powered Wearable Dual‐Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics

Advanced Science, EarlyView.
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li, Han Liu, Guoxu Liu, Qian'ao Wang, Haotian Zhou, Guiyi Liu, Yan Xu, Jun Wang, Zuqiang Wang, Feng Zhu, Feiling Luo, Zhong Lin Wang, Chi Zhang   +12 more
wiley   +1 more source

Fever Detection Using Convolutional Neural Networks (CNNs)

International Journal of Innovative Science and Research Technology (IJISRT)
This research paper is a novel fever detection methodology using the image classification technique with Python-based convolutional neural networks. We have developed a non-invasive and efficient method to identify fever by analysing images of the tongue, based on traditional Chinese medicine. Later on, we built a model which gave 92.2% on the test set
Amith B, Harshitha KN, Vijay R, Meghana B R, Shivandappa ., Narendra Kumar S   +5 more
openaire   +1 more source