Results 121 to 130 of about 3,004 (285)
Strategi Peningkatan Kualitas Kulit Samak (Leather) dengan Metode Lean Six Sigma, Fuzzy FMEA, dan Fuzzy AHP (Studi Kasus di Ud. Sumber Rejeki Kabupaten Magetan) [PDF]
Peningkatan kualitas kulit samak harus terus dilakukan mengingat pengolahan kulit sederhana dan pemanfaatannya di negara maju dan berkembang terus meningkat. Terjadinya suatu kegagalan produk mengandung unsur ketidakpastian yang disebabkan oleh material,
Dr. Ir. Imam Santoso,, MP. +2 more
core
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 +2 more
wiley +1 more source
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
Water‐Mediated Phosphoryl Wires Stabilize Pathological Tau Fibrils
Extended 1D phosphoryl “wires” stabilize in‐register amyloid tau fibrils, as demonstrated by multiple‐quantum spin‐counting NMR, TEM, and MD simulations, using fibrils of tau peptide jR2R3‐P301L (tau295–313) with phosphorylation at S305 or Y310. ABSTRACT Hyperphosphorylation of tau is a hallmark of tauopathies, with specific phosphorylation sites ...
Lokeswara Rao Potnuru +8 more
wiley +2 more sources
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Mechanochemistry Meets Catalysis: Metal Complexes for Greener Organic Transformations
Mechanochemistry is redefining metal catalysis by controlling catalyst formulation, speciation, and deployment. This Review shows how milling, LAG, RAM, and TSE enable rapid metal‐complex assembly, distinctive catalytic manifolds, and scalable synthesis beyond solution chemistry.
Sourav Behera +2 more
wiley +2 more sources
Explainable artificial intelligence (XAI) guides selective electrode activation in retinal prostheses by emphasizing visually informative regions. XAI‐assisted phosphene generation maintains object recognition performance while significantly reducing stimulation power.
Sein Kim, Hamin Shim, Maesoon Im
wiley +1 more source
Timely and effective drying of agricultural products is crucial for ensuring the quality and yield of grains. Biomass drying enhances energy utilization and reduces energy pressure.
Tuo Sheng, Haifeng Luo, Mingliang Wu
doaj +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
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

