Results 191 to 200 of about 69,420 (286)

Application of Principal Component Analysis and Probabilistic Neural Networks in Ferralsols Recovery Evaluation Through Planting of Mabea Fistulifera and Eucalyptus Urograndis

Land Degradation &Development, EarlyView.
ABSTRACT This study presents an innovative assessment model for analyzing the evolution of degraded soils subjected to different reclamation strategies. The proposal combines statistical and artificial intelligence tools to jointly integrate multiple physical and chemical soil properties, allowing for a more synthetic view of the processes.
Melissa Alexandre Santos, Borja Velázquez‐Martí, Jorge João Delfim, Laura Silva Nantes, Jose Augusto Liberato de Souza, Gabriel Augusto da Silva Lunardelli, Dayara Vivian Alvares, Carolina dos Santos Batista Bonini   +7 more
wiley   +1 more source

Optimized low power hybrid adder architecture for OFDM in wireless communication. [PDF]

Sci Rep
Devi TK, Priyanka EB, Anand R, Bhavana GB, Sakthivel P, Thangavel S, Khan B, Jeyanthi K.   +7 more
europepmc   +1 more source

Reprogrammable All‐Photonic Molecular Logic With Ln3+ Luminescent Hybrids in Solid State

Laser &Photonics Reviews, EarlyView.
Mario P. de‐Saralegui et al. report an Eu3⁺/Tb3⁺‐doped organic–inorganic hybrid material that enables multiple reprogrammable logic operations using only physical stimuli. Additionally, this solid‐state, all‐photonic platform represents the first example in the literature performing reversible Feynman logic operations, marking a major step toward ...
Mario P. de‐Saralegui, Lianshe Fu, Albano N. Carneiro Neto, Carlos D. S. Brites, Miguel A. Hernández‐Rodríguez   +4 more
wiley   +1 more source

A scalable automated framework for multiply-accumulate unit design in high-performance computing applications. [PDF]

Sci Rep
Venkatachalam A, Seerengasamy U, Ponraj AS.   +2 more
europepmc   +1 more source

Static and Dynamic Analysis of Porous Gas Bearings Lubricated With Air, Refrigerant R‐134a, Helium and Hydrogen

Lubrication Science, EarlyView.
ABSTRACT Porous gas bearings (PGBs) enable high‐speed, oil‐free operation in modern rotating machinery. This study develops a coupled thermo‐hydrodynamic (THD) model for a cylindrical porous gas bearing lubricated with four working fluids—air, R‐134a, helium and hydrogen.
S. Bechiri, B. Bouchehit, B. Bou‐Saïd
wiley   +1 more source

New Opportunities For the Integration of Artificial Intelligence With Materials Science: From Large Language Models to Embodied Large Models

Materials Genome Engineering Advances, EarlyView.
This review first introduces the diversified applications of large language models in materials discovery. Subsequently, the evolution of autonomous experimentation platforms empowered by large language models is analyzed. Finally, four key future research interests are proposed to develop embodied large models for driving autonomous experimentation ...
Zhen Song, Yishuai Cai, Yadong Yu, Pan Xiang, Minglong Li, Zhe Liu, Mengyan Dai   +6 more
wiley   +1 more source

Categorical framework for quantum-resistant zero-trust AI security. [PDF]

Sci Rep
Cherkaoui I, Clarke C, Horgan J, Dey I.
europepmc   +1 more source

A Dynamic‐Weighted Deep Transfer Learning Framework for Thermal Conductivity Prediction and Analysis

Materials Genome Engineering Advances, EarlyView.
Leveraging the visual perception of pretrained models, a deep transfer learning framework with dynamic weighting is proposed to bridge natural vision and material microstructures. This strategy achieves a prediction accuracy (R2) of 0.89 and the model demonstrates superior generalization capabilities across multiple material systems, effectively ...
Zhenzhao Zhang, Yunpeng Guo, Chunran Wu, Tingbo Wang, Ming Huang, Wei Li, Xingyu Chen, Haijun Mao, Weijun Zhang, Wenjian Guo, Fenglin Wang, Zhuofeng Liu   +11 more
wiley   +1 more source

Optimizing FCN for devices with limited resources using quantization and sparsity enhancement. [PDF]

Sci Rep
Faizan-Khan M, Ali N, Hashim Ali R, Alasiry A, Marzougui M, Ali Algamdi S, Nam Y.   +6 more
europepmc   +1 more source

Complementary Sensitivity of Fixed‐Time and Fixed‐Oscillation Regimes to Exchange and Structural Disorder in the Human Brain Revealed Using Oscillating‐Gradient Diffusion MRI With Ultra‐Strong Gradients

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Oscillating‐gradient spin‐echo (OGSE) diffusion MRI probes cell geometry and membrane integrity through the frequency‐dependence of kurtosis, but prior studies have reported inconsistent findings depending on how frequency is varied. We compared frequency‐dependent kurtosis in the human brain under two regimes: varying frequency with ...
Dongsuk Sung, Kwok‐Shing Chan, Julianna Gerold, Wen Zhong, Jialan Zheng, Qiyuan Tian, Hua Guo, Susie Y. Huang, Hong‐Hsi Lee   +8 more
wiley   +1 more source