Results 61 to 70 of about 1,009 (246)

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

A Novel Interval Three-Way Concept Lattice Model with Its Application in Medical Diagnosis

Mathematics, 2019
Medical diagnosis has been recognized as one of the key processes in clinical medicine, which determines diseases from some given symptoms. Nonetheless, previous works about medical diagnosis have some drawbacks because medical data are usually fuzzy ...
Junhua Hu, Dan Chen, Pei Liang
doaj   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Nanostructured Deep Eutectic Systems in Healthcare: From Bioactive Solvents to Intelligent Biointerfaces, Wearables, and AI‐Driven Design

Advanced NanoBiomed Research, EarlyView.
Beyond the green solvent paradigm, this review redefines Deep Eutectic Systems (DES) as programmable supramolecular nanoassemblies. We survey their biomedical convergence: stabilizing thermolabile mRNA to enable cold chain‐free logistics, reshaping transdermal microneedle delivery, enabling long‐term wearables via eutectogels, and utilizing Generative ...
Jeesu Moon, Min Seo Kim, Jae‐Seung Lee
wiley   +1 more source

Topological Information Systems in a Complete Co-Residuated Lattice

Axioms
In this paper, we introduce topological information systems between objects with a distance and attributes with a distance based on a complete co-residuated lattice. We can obtain two distances and Alexandrov topologies for objects and attributes from an
Yong Chan Kim, Young-Hee Kim
doaj   +1 more source

Fuzzy Concept Lattice for Ontology Learning and Concept Classification

Indian Journal of Science and Technology, 2016
Objective: To discover the the new latent concept, which is significant to self-learning and machine learning. To better understand the conceptual relations of the query terms. Methods: The application of Fuzzy Formal Concept to construct a Concept Lattice that better describes the semantic relations of incoming patterns for a collection of documents ...
K. Selvi, R. M. Suresh
openaire   +1 more source

A Formal Fuzzy Concept-Based Approach for Association Rule Discovery with Optimized Time and Storage

Mathematics
Association Rule Mining (ARM) relies on concept lattices as an effective knowledge representation structure. However, classical ARM methods face significant limitations, including the generation of misleading rules during data-to-formal-context mapping ...
Gamal F. Elhady, Haitham Elwahsh, Maazen Alsabaan, Mohamed I. Ibrahem, Ebtesam Shemis   +4 more
doaj   +1 more source

Molecular filming: A director's grammar for visualizing chemistry in motion

Bulletin of the Korean Chemical Society, EarlyView.
Molecular filming names the practice, not just the product, of ultrafast structural science. In deliberate analogy to molecular editing, which rewrites connectivity in space, molecular filming records geometry in time, assembling time‐ordered structural frames into a movie of atomic motion and recasting the field as a grammar of directorial choices ...
Hyotcherl Ihee
wiley   +1 more source

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

Carbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li, Wei Qu, Deepak Kumar, Naini Jain, Nur Wardina Syahirah binti Mohamad Fadil, Nur Najiha binti Ahmad Rasid, Emannuel Kymakis, Maria Vasilopoulou, Chunxiong Bao, Feng Gao, Peng Gao, Sanjeev Kumar Sharma, Mohammad Khaja Nazeeruddin, Abd. Rashid bin Mohd Yusoff, Haotong Wei   +14 more
wiley   +1 more source

Incomplete Dynamic Fuzzy Linguistic Reasoning Approach Based on Concept Lattice

International Journal of Computational Intelligence Systems
In the real world, much fuzzy data is described by evaluative linguistic expressions, which typically exhibit dynamic and changing characteristics. To tackle the challenges of dynamic fuzzy knowledge acquisition and reasoning in uncertain environments ...
Chuyi Zhang, Deshan Sun, Nan Jia, Kuo Pang, Li Zou, Witold Pedrycz   +5 more
doaj   +1 more source