Results 161 to 170 of about 1,986,683 (337)

Generalized Monotone Method for Matrix Differential Equations with Nonlinear Boundary Condition

S. N. R. G. Bharat Iragavarapu, Ch.Satyanarayana   +1 more
  +5 more sources

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

Advanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng   +7 more
wiley   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

A solution method for nonlinear monotone equations via hybrid spectral conjugate gradient and signal recovery problems [PDF]

, 2023
Aliyu Yusuf, Nibron Haggai Manjak, Hassan Mohammad, Aliyu Ibrahim Kiri, Auwal Bala Abubakar   +4 more
openalex   +1 more source

PRACTICAL MONOTONOUS ITERATIONS FOR NONLINEAR EQUATIONS

Memoirs of the Faculty of Science, Kyushu University. Series A, Mathematics, 1968
openaire   +3 more sources

Convergence in strongly monotone systems with an increasing first integral [PDF]

, 2010
Angeli, D., Banaji, Murad
core   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Global convergence via modified self-adaptive approach for solving constrained monotone nonlinear equations with application to signal recovery problems [PDF]

, 2023
Muhammad Abdullahi, Auwal Bala Abubakar, Sadiq Bashir Salihu   +2 more
openalex   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

A Modified Hybrid DYHS Type Conjugate Gradient Algorithm for Solving Nonlinear Monotone Equations and Signal Recovery Problems [PDF]

, 2023
Aliyu Yusuf, Nibron Haggai Manjak, A. M. Kwami, Mohammed Abdulhameed, Auwal Bala Abubakar, Echebiri Chibuike John, Abdulsalam Ya’u Gital   +6 more
openalex   +1 more source