Results 131 to 140 of about 329,967 (359)

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

System Identification of Robotic Fish Swimming Reveals Roles of Reactive and Resistive Fluid Force in Two Distinct Swimming Gaits

Advanced Intelligent Systems, EarlyView.
System identification and particle image velocimetry reveal how a modular robotic fish changes thrust physics across gaits. A traveling‐wave, fish‐like motion draws thrust from resistive drag, while a resonant standing‐wave motion is driven by reactive pressure.
Donghao Li, Hankun Deng, Kundan Panta, Azar Panah, Bo Cheng   +4 more
wiley   +1 more source

The method of determining optimal control of the thermoelastic state of piece-homogeneous body using a stationary temperature field

Радіоелектронні і комп'ютерні системи
This paper proposes a new highly effective method for determining the optimal control of the stress-strain state of spatially multi-connected composite bodies using a stationary temperature field. The proposed method is considered based on the example of
Oleksii Nikolaev, Mariia Skitska
doaj   +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

Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction

Advanced Intelligent Systems, EarlyView.
This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin, Ren Cao, Zhongxue Gan, Siyang Leng   +3 more
wiley   +1 more source

Short‐Term Scheduling Optimization of a Single‐Pipeline Refining System With High Melting Point Crude Oil

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao, Xianxin Liu, Zhen Pan, Chengming Hao, Xiangwei Xu, Wei Jia   +5 more
wiley   +1 more source

Open-Loop and Closed-Loop Solvabilities for Stochastic Linear Quadratic Optimal Control Problems of Markov Regime-Switching System [PDF]

, 2018
Xin Zhang, Xun Li
openalex   +1 more source

Two‐Phase Nanofluid Flow in a Non‐Newtonian Model Past a Deformable Sheet With Magnetized Environmental Effects: Statistical Modeling and ANOVA Analysis

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This paper presents a comprehensive numerical analysis of magnetohydrodynamic (MHD) Casson nanofluid movement over a permeable, linearly stretching sheet, integrating the contributions of non‐uniform heat generation or absorption and chemical interaction.
Manoj Kumar Sahoo, MD. Shamshuddin, Subhajit Panda, Umair Khan   +3 more
wiley   +1 more source

Optimization of F¯ Removal From Wastewater Utilizing Alternating Current Electrocoagulation Coupled With Sonication Using a Statistical Design Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Combining electrochemical and advanced oxidation processes (AOPs) has greatly mitigated the limitations of electrocoagulation (EC) in water treatment. This study examined the effectiveness of sonolysis (US)‐assisted alternating current (AC)–EC in reducing fluoride (F¯) from landfill leachate wastewater (LLW), with measurements of electrical ...
Perumal Asaithambi, Madhappan Santhamoorthy, Arun Thirumurugan, Suresh Pratap, Bheem Pratap, Ravikumar Jayabal, Vishal Kumar Parida, Subramaniapillai Niju   +7 more
wiley   +1 more source

Pearl's causality for integrating ecological datasets: A case study on Myricaria germanica in northern Italy

Applications in Plant Sciences, EarlyView.
Abstract Premise Applied ecology can significantly influence policy decisions on environmental issues. Therefore, research in this field should be as transparent and reproducible as possible. Existing expertise from a broad range of disciplines should also be integrated into ecological research to allow researchers to maximize understanding of complex ...
Kailin Weitkämper, Kilian Rückschloß, Tommaso Sitzia, Bruno Michielon, Silke Werth, Felix Weitkämper   +5 more
wiley   +1 more source