Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring
Tumor exposomics integrates continuous monitoring of environmental exposures, endogenous biological responses, and behavioral factors within a unified temporal framework. By combining multimodal sensing technologies with AI‐enabled causal modeling, this emerging paradigm reconstructs exposure‐damage trajectories and supports individualized dynamic risk
Kaicheng Shen +6 more
wiley +1 more source
A bi-objective robust fuzzy programming model to configure a microgrid-based cement supply chain. [PDF]
Tirkolaee EB +3 more
europepmc +1 more source
Multi‐Modal Low‐Power Adaptive Braille Recognition System Based on Hf0.3Zr0.7O2 Memristor
A multimodal adaptive perception system based on HZO ferroelectric memristor realizes efficient Braille digit recognition via reservoir computing. It delivers high recognition accuracy with ultralow‑energy analog computation, offering a promising hardware solution for environment‑robust neuromorphic assistive devices for visually impaired users ...
Jikang Xu +9 more
wiley +1 more source
Enhance triangular fuzzy parametric framework for solid multi objective transportation problem with split decision variables. [PDF]
Joshi VD +4 more
europepmc +1 more source
ABSTRACT Mechanophores with mechanochromic properties have attracted significant attention as force‐responsive materials for structural sensing. However, their applications remain mainly limited to qualitative force visualization, as direct and quantitative extraction of mechanical parameters such as stress and strain from mechanochromic responses has ...
Seungo Baek +8 more
wiley +1 more source
Machine learning-assisted computation of the solubility of solid drugs in supercritical carbon dioxide. [PDF]
Ban W +6 more
europepmc +1 more source
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Adaptive fuzzy-reinforcement framework for real-time task scheduling and resource optimization in medical edge computing. [PDF]
Wei X, Huang H, Wang Y.
europepmc +1 more source
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Adaptive energy management in smart homes through fuzzy reinforcement learning and metaheuristic optimization algorithms to minimize costs. [PDF]
Hamedani MMK +3 more
europepmc +1 more source

