Results 141 to 150 of about 6,094 (253)

Lithium Metal Anode Fabrication: Methods, Challenges, and Strategies

EcoEnergy, EarlyView.
Schematic illustration of four representative fabrication techniques for thin lithium metal anodes: extrusion, molten lithium infusion, electroplating, and physical vapor deposition (PVD). ABSTRACT The pursuit of ultra‐high energy‐dense lithium‐metal batteries (LMBs) has reignited the drive to fabricate ultrathin high‐quality lithium metal anodes. This
Ji Hyun Baek, Mi Ji Kang, Ho Won Jang
wiley   +1 more source

Uncertainty-resilient control of large-scale industrial IoT networks via learning-guided fuzzy intelligence. [PDF]

Sci Rep
Duan C, Wang Y, Zhang P, Li S, Luo S.
europepmc   +1 more source

Machine Learning–Enhanced Fluorescence Cryptography with NADH‐Responsive Polymer Dots

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study presents a smart anticounterfeiting system using semiconducting polymer dots (Pdots) that exhibit tunable fluorescence responses to NADH. By integrating these dynamic optical signals with machine learning–based decoding, the work establishes a secure and intelligent encryption platform, showing a novel strategy that links chemical sensing ...
Zhengkun Zhan, Mingyue Gong, Zirui Zeng, Hangyu Liu, Xiaoliang Li, Zhuxin Dong, Xiaoju Men, Haobin Chen   +7 more
wiley   +1 more source

TL-DETR: Efficient transmission line defect detection for edge deployment. [PDF]

PLoS One
Zhang Y, Zhao R.
europepmc   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

A Q-Learning-Based Distributed Energy-Efficient Routing Protocol in UASNs. [PDF]

Entropy (Basel)
Geng X, Li Q, Pan X, Cao F.
europepmc   +1 more source

Intelligent power underwater wireless sensor networks for marine environmental monitoring using a hybrid marine predator-Henry gas solubility optimization approach. [PDF]

Sci Rep
Yanhao W, Alsarhan A, Aljaidi M, Alshammari AA, Alkoradees AF, Khishe M.   +5 more
europepmc   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

Optimal cluster-based energy efficient routing scheme for QoS aware IoT-enabled wireless body area network. [PDF]

Sci Rep
Irine Shyja V, Ranganathan G, Chandrakanth P, Sindhu Priya G, Gebreyohannes DT.   +4 more
europepmc   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source