Results 221 to 230 of about 247,756 (301)

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

A novel optimized fuzzy neural network for enhanced topology control in k-connected mobile adhoc networks. [PDF]

Sci Rep
Agrawal SS, Rathi R, Siddiqui SA.
europepmc   +1 more source

3D‐Printed Shark‐Inspired Soft–Hard Hybrid Underwater Robot With Buoyancy Control and Onboard Vision

Advanced Intelligent Systems, EarlyView.
A fully self‐contained shark‐inspired underwater robot is developed using 3D‐printed soft–hard hybrid structures, servo‐driven propulsion, and pump‐based buoyancy control. The platform achieves three‐dimensional locomotion and onboard vision‐based target tracking, offering a reproducible and accessible framework for biomimetic underwater robot research.
Shotaro Saito, Byeongwook Jo, Minghao Nie, Shoji Takeuchi   +3 more
wiley   +1 more source

Hybrid fuzzy machine learning models optimized with meta-heuristics for accurate EEG-based neurological assessment. [PDF]

Sci Rep
Lak M, Jamali J, Adlband N, Taghizadeh M, Mahdiyar O.   +4 more
europepmc   +1 more source

Profiling Co‐Occurrent Morphological Phenotypes and Their Degree of Expression Severity in Vacuolated Cells by Holo‐Tomographic Flow Cytometry and Fractal Analysis

Advanced Intelligent Systems, EarlyView.
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino, Giusy Giugliano, Daniele Pirone, Fabrizio Licitra, Fulvia Vitale, Pasquale Memmolo, Lisa Miccio, Massimo D’Agostino, Pietro Ferraro, Vittorio Bianco   +9 more
wiley   +1 more source

Lightweight image encryption for wireless sensor networks using optimized elliptic curve and fuzzy logic. [PDF]

Sci Rep
Zarei M, Dindarlou MHF, Taghizadeh M, Jamali J.   +3 more
europepmc   +1 more source

Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing

Advanced Intelligent Systems, EarlyView.
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi, Teng Zhang, Yuqi Li, Yaoyu Tao, Bonan Yan, Yuchao Yang   +5 more
wiley   +1 more source

Trajectory Tracking Control for Subsea Mining Vehicles Based on Fuzzy PID Optimised by Genetic Algorithms. [PDF]

Sensors (Basel)
Bu H, Wu M, Liu B, Yan Z.
europepmc   +1 more source

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

Advanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata, Oleksandr V. Pylypovskyi, Eleonora Raimondo, Rico Illing, Yevhen Zabila, Lin Guo, Guannan Mu, Mónica Navarro López, Xu Wang, Georgios Tzortzinis, Angelos Filippatos, Gilbert Santiago Cañón Bermúdez, Francesca Garescì, Giovanni Finocchio, Denys Makarov   +14 more
wiley   +1 more source

Assessment of influencing factors of college and universities' teaching effects using fuzzy and deep learning techniques. [PDF]

Sci Rep
He Z, Zhang X, Zhang Z, Lin Y, Yu B.
europepmc   +1 more source