Results 81 to 90 of about 9,112 (254)

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +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

Real time interpolation algorithm based on Lanczos kernel

Tongxin xuebao, 2017
In order to improve the timeliness and reliability of color image scaling algorithms,a high effective real-time color image scaling algorithm was proposed,which first generated the kernel look up table that could be used for whole target image based on ...
Ying GUO, Lun LI, Peng WANG
doaj   +2 more sources

Confined Hot Carrier Cooling Via Excited‐State Energy Gap Engineering in Graphyne Carbon Allotropes

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The excited‐state energy gap (EEG), regulated by the concentration of sp‐hybridized carbon, provides an effective handle for tuning electron–phonon coupling behavior. This design enables long‐lived confinement of hot carriers near the top of the EEG with controllable energy levels.
Fulong Dai, Zhaozhao Xiong, Yingcong Liu, Feiyu Cheng, Haochun Sun, Zhenfa Zheng, Jin Zhao, Zhuojian Liang, Zhuo Kang, Yue Zhang   +9 more
wiley   +1 more source

Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis

Agronomy
Varroa destructor is the most devastating ectoparasite of Apis mellifera, and early detection is critical for colony survival. This study systematically investigated how image preprocessing, model architecture, and feature map resolution jointly affect ...
Hong-Gu Lee, Jeong-Yong Shin, Woon-Tak Han, Su-Bae Kim, Min-Jee Kim, Giyoung Kim, Changyeun Mo   +6 more
doaj   +1 more source

Optimisation of Electrokinetic Extraction System: Colourimetric Determination of Copper (II) in Sand Using Polymer Inclusion Membrane

ELECTROPHORESIS, EarlyView.
Electrokinetic extraction (EKE) allows the direct transfer of heavy metals from soli samples, such as soil and sediment, into a polymer inclusion membrane (PIM) with a colourimetric detection. This avoids length and complex sampling handling and extraction processes.
Jia Jia Seet, Spas D. Kolev, Rosanne Guijt, Hong Heng See, Fernando Maya, Mostafa A. Atia, Eddie A. Nagul, Owen P. Missen, Michael Breadmore   +8 more
wiley   +1 more source

Organic photonic synaptic transistors for bionic vision: From spectral engineering to flexible intelligent perception

FlexMat, EarlyView.
Different wavelength photonic synapses are used for biomimetic visual applications. Abstract Bionic intelligent visual perception systems have significant application prospects in fields such as autonomous driving and robotics, medical imaging and auxiliary diagnosis, security and monitoring.
Longlong Jiang, Shan Wu, Silu Feng, Heyi Huang, Wangyu Wu, Hong Han, Yao Ni   +6 more
wiley   +1 more source

A Multi-kernel CNN model with attention mechanism for classification of citrus plants diseases

Scientific Reports
One of the primary challenges leading to a significant reduction in agricultural production is the prevalence of diseases affecting citrus plants. Prevention and monitoring the spread of citrus plant diseases is crucial for maintaining citrus production.
Shiny R M, Angelin Gladston, Khanna Nehemiah H   +2 more
doaj   +1 more source

A Hybrid Semantic-Aesthetic Neural Network Driven by Multi-Layer and Perceptual Learning for Intelligent Packaging Picture Resizing

IEEE Access
This study addresses the challenge of preserving both semantic meaning and aesthetic appeal in content-aware resizing of intelligent packaging images.
Hefei Shan
doaj   +1 more source

Robust Spectroscopic Analysis Through Image‐Based Spectral Representation and Deep Learning Techniques

Journal of Raman Spectroscopy, EarlyView.
This study addresses calibration drift in Raman spectroscopy by transforming 1D spectra into 2D spider plot images processed by pretrained convolutional neural networks. This visualization strategy effectively converts detrimental spectral wavenumber shifts into simple image rotations, allowing the deep learning model to maintain high classification ...
Azadeh Mokari, Oleg Ryabchykov, Thomas Bocklitz   +2 more
wiley   +1 more source