Results 131 to 140 of about 55,170 (288)
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Geometric Nonuniformity Localizes Valence Orbitals in Gold Clusters: Case Study on [Au23(SC6H11)16]–
The electronic structure of [Au23(SC6H11)16]–, a monolayer‐protected gold cluster with a nonuniform Au13 core, was investigated. Anion photoelectron spectroscopy and density functional theory calculations revealed that the highest occupied molecular orbital (HOMO) and HOMO‐1 are localized on the two triangular Au3 units at the ends of the Au13 core ...
Yosuke Asami +3 more
wiley +2 more sources
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Catalytic Functionalization of Unactivated π‐Bonds Enabled by Bidentate Directing Auxiliaries
This review explores how bidentate directing auxiliaries have advanced transition‐metal catalysis for unactivated alkene/alkyne functionalization. By leveraging chelated intermediates, bidentate directing auxiliaries enable precise hydrofunctionalization, difunctionalization, and C─H activation of π‐bonds with unique selectivity and reactivity.
Seunghyeon Cho +4 more
wiley +2 more sources
Hao Gu spoke with Cell Reports about his scientific journey, inspirations to become a scientist, and his work on molecular mechanisms driving the progression of tumors of the digestive system; in particular, he discussed his lab’s recent work regarding the role of circDNA2v in colorectal cancer.
openaire +2 more sources
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source
Sub‐5 nm Fe2O3/Sm2O3 heterojunction nanoparticles are anchored on nitrogen‐doped carbon nanofibers, featuring coupled Fe(3d)‐O(2p)‐Sm(4f) orbitals at the interface. The resulting super‐exchange induces antiparallel magnetic ordering at heterointerfaces, suppressing spin‐dependent interaction between surface OH* species and Fe sites to facilitate OH ...
Jing Li +9 more
wiley +2 more sources
Biolistic and Agrobacterium-mediated transient expression of UidA in Triticale immature embryos
S. Rubio, N. Jouve, J.M. González
doaj +1 more source
Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam +6 more
wiley +1 more source

