A fuzzy graph theoretic approach to face shape recognition using cubic outerplanar structures. [PDF]
Jaisankar D, Ramalingam S, Zegeye GB.
europepmc +1 more source
MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis
This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li +10 more
wiley +1 more source
Pathways to effective network governance: A fuzzy-set QCA study of tripartite collaboration efficiency with Chinese official Weibo data. [PDF]
Wu Y, Xia Y.
europepmc +1 more source
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang +3 more
wiley +1 more source
Multiple causal pathways of high-quality development for semiconductor enterprises in China. [PDF]
Li S, Yang X.
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
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 +4 more
wiley +1 more source
Untangling the role of blockchain technology in shaping supply chain concentration from the contingency and configuration perspectives. [PDF]
Zhang J +5 more
europepmc +1 more source
The impact of enterprise resilience and HRM practices on performance: Findings from fsQCA. [PDF]
Liu B, Li Y, Tang L, Zhao Y, Chang H.
europepmc +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
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 +6 more
wiley +1 more source
How to influence the continuous usage intention of game-based Internet public welfare users? An empirical analysis based on SEM and fsQCA. [PDF]
Liu J, Chen X, Zhou X, Wei J, Liu C.
europepmc +1 more source

