Results 131 to 140 of about 926,631 (217)
Fairness in Federated Learning: Trends, Challenges, and Opportunities
Advanced Intelligent Systems, EarlyView.This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar +2 more
wiley +1 more source
Total free energy analysis of fully hydrated proteins
Proteins: Structure, Function, and Bioinformatics, Volume 91, Issue 1, Page 74-90, January 2023., 2023 Abstract The total free energy of a hydrated biomolecule and its corresponding decomposition of energy and entropy provides detailed information about regions of thermodynamic stability or instability. The free energies of four hydrated globular proteins with different net charges are calculated from a molecular dynamics simulation, with the energy ...
Jas Kalayan +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A tactile sensor array simultaneously integrates super‐resolution and rapid response capabilities to perceive subtle and dynamic stimuli, mimicking the location‐sensing mechanism of human skin. It effectively and swiftly detects and localizes these stimuli, resulting in a localization inference with a root mean square error of 1.50 mm, and can track ...
Shuyao Zhou +9 more
wiley +1 more source
Oxygen Defect Formation Thermodynamics of CaMnO3: A Closer Look
physica status solidi (b), Volume 260, Issue 1, January 2023., 2023 The aim of this work is to find an optimal theoretical approach to compute the defect formation thermochemistry of CaMnO3. The hybrid functional PW1PW combined with CRYSTAL/PBE thermodynamic corrections is able to compute the defect formation enthalpy of CaMnO3 with an absolute deviation of −10.8 kJ mol−1 and can be recommended for use in computing ...
Benjamin Grimm, Thomas Bredow
wiley +1 more source
Study of a generalized Metropolis decision rule in auxiliary field quantum Monte Carlo [PDF]
arXiv, 1999 We consider a generalization of the standard Metropolis algorithm acceptance/rejection decision rule and numerically explore its properties using auxiliary field quantum Monte Carlo. The generalization involves a free parameter which, given a criterion for proposing attempted moves, can be used to tune the average acceptance rate in a particular way ...
arxiv
Dual Neural Network Framework with SPICE Integration for Fast and Accurate Transistor Modeling
Advanced Intelligent Systems, EarlyView.Neural network (NN)‐based compact transistor models are often deployed and evaluated standalone due to the lack of compatibility with existing simulation program with integrated circuit emphasis (SPICE) software. Herein, the proposed dual‐NN framework with the best trade‐off between high speed and high accuracy is integrated into commercial SPICE ...
Rodion Novkin, Hussam Amrouch
wiley +1 more source
Aufbau principle and singlet‐triplet gap in spherical Hooke atoms
International Journal of Quantum Chemistry, Volume 123, Issue 3, February 5, 2023., 2023 The singlet‐triplet gap for three dimensional Hooke atoms is characterized using high‐level quantum methods with optimized basis sets. The effect of the confinement potential and screening effects is discussed. We have found that the triplet‐singlet gap as a function of the numbers of electrons can be rationalized with the following orbital ordering 1s<
Xabier Telleria‐Allika +5 more
wiley +1 more source
Annals of Neurology, EarlyView.This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley +1 more source
Active Learning in Physics: From 101, to Progress, and Perspective
Advanced Quantum Technologies, EarlyView., 2023 In this review, the concept of active learning is introduced to the physicists at the level of beginner without requirement on background in machine learning. It includes most of the latest applications of active learning in branches of physics, covering but not being limited to quantum information, high energy physics, and condensed matter physics. It
Yongcheng Ding +3 more
wiley +1 more source
Stochastic Hydrodynamic Velocity Field and the Representation of Langevin Equations
Annalen der Physik, EarlyView.A lumped method is proposed to account for both mean‐field hydrodynamics and stochastic fluctuations within the kinematic equations of motion, providing a regularized formulation of the overdamped approximation. The concept of stochastic realizability in broad sense is introduced based on the spectral properties of the Fredholm operator associated with
Massimiliano Giona +2 more
wiley +1 more source