Results 101 to 110 of about 1,541,248 (274)

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

SmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen, Zeyuan Huang, Ying Yan, Xiaokang An, Zhikai Zhao, Jirong Lin, Xiangrong Zhao, Xianyuan Gao, Junyi Zong, Xuewen Jia, Zhipeng Yao, Jianliang Liao, Ning Ji   +12 more
wiley   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

A finite difference method for fractional diffusion equations with Neumann boundary conditions

Open Mathematics, 2015
A finite difference numerical method is investigated for fractional order diffusion problems in one space dimension. The basis of the mathematical model and the numerical approximation is an appropriate extension of the initial values, which incorporates
Szekeres Béla J., Izsák Ferenc
doaj   +1 more source

An implicit, conservative, zonal-boundary scheme for Euler equation calculations [PDF]

Computers & Fluids, 1985
A ``zonal,'' or ``patched-grid,'' approach is one in which the flow region of interest is divided into subregions which are then discretized independently, using existing grid generators. The equations of motion are integrated in each subregion in conjunction with zonal-boundary schemes which allow proper information transfer across interfaces that ...
openaire   +2 more sources

Multifaceted Behavior and Versatility Features of Ferritic Stainless Steels, Part II: Investigating Electromagnetic, Mechanical, and Corrosion Behavior

steel research international, EarlyView.
This review's second part details the mechanical, corrosion, and electromagnetic behaviors of FSSs. It integrates the foundational microstructure (texture/defects/precipitates) and processing effects from Part I to establish and analyze complex property–property interrelationships critical for high‐performance applications.
Shahab Bazri, Carlo Mapelli, Davide Mombelli   +2 more
wiley   +1 more source

Humidity Ramp Protocols Systematically Underestimate Human Heat Tolerance Limits

Safety Science and Technology, EarlyView.
Short dwell times in humidity‐ramp protocols (Δt/τ≪1 ${\Delta }t/\tau \mathit{\ll }1$) prevent human core temperature from reaching equilibrium, causing premature inflection points and systematic underestimation of critical environmental limits by ∼3°C–4°C.
Fèlix Faming Wang, Yi Xu, Haojian Wang, Min Cui, Xue Hou, Boan Wei, Xiong Shen   +6 more
wiley   +1 more source

Waypoint Navigation of a 2D Drone in Stochastic Environment via Regularised Proximal Policy Optimisation

Artificial Intelligence for Engineering, EarlyView.
We present a three‐stage training framework combining Behaviour Cloning warm‐starting with auxiliary‐regularised Deep Reinforcement Learning PPO fine‐tuning for 2D drone waypoint navigation under stochastic wind. Persistent imitation regularisation prevents catastrophic forgetting, achieving robust generalisation to unseen targets and out‐of ...
Ahmet Bilgehan Serçe, Necati Aksoy
wiley   +1 more source

Double‐Integration‐Enhanced Stochastic Gradient Descent Based on Neural Dynamics for Improving Generalisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li, Longbang Wang, Jiexing Li, Jicheng Li   +3 more
wiley   +1 more source

FPGA‐Based Real‐Time Implementation of Closed‐Loop Brain‐Controlled Eye Movement System

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents a comprehensive closed‐loop brain‐eye movement framework, spanning parametric modelling, dynamic analysis and real‐time FPGA implementation. A simplified first‐order oculomotor model was derived from the classical Robinson formulation to preserve the essential neural‐mechanical feedback structure while enabling efficient ...
Guodao Zhang, Yupeng Li, Yanjie Lu, Genfu Yang, Xiaotian Pan, Jing Wang   +5 more
wiley   +1 more source

Numerical Modeling of The Quorum Sensing In a Bacterial Biofilm

ESAIM: Proceedings and Surveys, 2018
In the present paper we propose a bi-dimensional non-linear reaction-diffusion model de-scribing the action of antibiotics as well as quorum sensing inhibitors agents on the virulence of bacteria biofilms.
Blouza A., El Alaoui L.
doaj   +1 more source