From Biological Analogs to Robotic Embodiment: A Systematic Biomimetic Translation Framework Mediated by Traditional Craft. [PDF]
Li J, Wu F, Xiao C.
europepmc +1 more source
Elliptical β‐barrel deformation underlies gating in VDAC1
Abstract Gating by voltage‐dependent anion channels (VDAC) regulates mitochondrial metabolite flux, yet the structural mechanism underlying the open‐to‐closed transition remains unresolved. Here, we combine atomistic molecular dynamics (MD) simulations with double electron–electron resonance (DEER), using hydrostatic pressure as a reversible ...
L. Bergdoll +6 more
wiley +1 more source
Hybrid intelligence-powered secure clustering with trust-optimized routing for next-generation MANET communication. [PDF]
Anuprathibha T +3 more
europepmc +1 more source
GA‐ANN: An Efficient Hybrid Deep Learning Scheme for Network Intrusion Detection in IoT
ABSTRACT Intrusion detection systems (IDS) are critical to the security of the dynamic internet of things (IoT) environment. The integration of Artificial Intelligence (AI) into IDS has substantially improved network security. Particularly, deep learning techniques have shown strong potential in addressing IoT security challenges.
Naveed Ahmed +4 more
wiley +1 more source
A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. [PDF]
Jahanvi, Nishad DK, Singh R, Khalid S.
europepmc +1 more source
Discover Class‐Based Feature Distribution by Encoding Discrete Data for Classification
ABSTRACT The self‐organisation map is an unsupervised learning technique that discovers patterns and relationships in data without requiring labelled training data. Inspired by the self‐organisation map, Self‐Organised Granular encoding has been shown to be effective for generating reliable discrete data clustering results as it is a data encoding ...
Qiang Fu +3 more
wiley +1 more source
A robust E learning recommendation system based on novel interval valued bipolar fuzzy hypersoft set theory. [PDF]
Harl MI +4 more
europepmc +1 more source
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani +3 more
wiley +1 more source
Prescribed-Time Leader-Follower Synchronization of Higher-Order Nonlinear Multi-Agent Systems via Fuzzy Neural Adaptive Sliding Control. [PDF]
Ullah S +5 more
europepmc +1 more source
ABSTRACT Fault‐tolerant monitoring and reliable node identification are essential requirements in modern hierarchical communication systems such as IoT–Fog–Cloud architectures and distributed sensing networks. The fault‐tolerant metric dimension (FTMD) provides an effective graph‐theoretic framework for resilient localization and monitoring in such ...
Ghulam Haidar +5 more
wiley +1 more source

