Results 191 to 200 of about 2,188,345 (345)

SiOx‐Based Probabilistic Bits Enabling Invertible Logic Gate for Cryptographic Applications

Advanced Intelligent Systems, EarlyView.
To enable lightweight hardware encryption and decryption, a Ti/SiOx/Ti threshold switching device is engineered to generate controllable stochastic oscillations. By tuning the input voltage, the device produces a programmable spike probability governed by intrinsic switching dynamics, enabling probabilistic bits that construct an invertible ...
Jihyun Kim, Hyeonsik Choi, Jiyong Woo
wiley   +1 more source

Research on Error Compensation Methods of Dynamic Gravity Measurement Based on Swarm Cooperation Evolution Strategy and Optimized LSTM. [PDF]

Entropy (Basel)
Li X, Zhou Z, Zhang Z, Liang Z, Chang Z, Li Y.   +5 more
europepmc   +1 more source

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

Advanced Intelligent Systems, EarlyView.
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna, Hugo A. Ordoñez Erazo, Carlos A. Cobos Lozada   +2 more
wiley   +1 more source

Quantum algorithms for equational reasoning. [PDF]

Sci Adv
Rattacaso D, Jaschke D, Ballarin M, Siloi I, Montangero S.   +4 more
europepmc   +1 more source

Generalized Task‐Driven Design of Soft Robots via Reduced‐Order Finite Element Method‐Based Surrogate Modeling

Advanced Intelligent Systems, EarlyView.
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley   +1 more source

A Polynomial Time Algorithm for 3SAT [PDF]

ACM Transactions on Computation Theory, 2021
openaire   +1 more source

PAC-ZNN for Robust Target Tracking in WSNs Against Complex Polynomial Noise. [PDF]

Sensors (Basel)
Zhan Z, Song Z, Huang S, Xie Q, Xiao X.
europepmc   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Polynomial time primality testing algorithm

, 2006
In August 2002, three Indian researchers, Manindra Agrawal and his students Neeraj Kayal and Nitin Saxena at the Indian Institute of Technology in Kanpur, presented a remarkable algorithm (the AKS algorithm) in their paper PRIMES is in P.
Aoyama, Takeshi
core  

DC bias optimization in intelligent DCO-OFDM Li-Fi systems using hybrid machine learning with hardware validation. [PDF]

Sci Rep
Abdelhakim E, Ragab DA, Abaza M, Moharam MH.   +3 more
europepmc   +1 more source