Results 51 to 60 of about 1,228 (249)

Bistable Networks Enable Complex Shape Changes

Advanced Science, EarlyView.
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley   +1 more source

Fuzzy Linear Temporal Logic with Quality Constraints

Mathematics
As an extension of quantitative temporal logic, uncertain temporal logic essentially describes the temporal behavior of uncertain and incomplete systems, thus better solving search and decision-making problems in such systems. Fuzzy linear temporal logic
Xianfeng Yu, Yongming Li, Shengling Geng
doaj   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
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, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

Fuzzy Computation Tree Temporal Logic with Quality Constraints and Its Model Checking

Axioms
The encapsulation of particular quality functions and predicates within temporal logic formulas markedly enhances the representation of detailed temporal characteristics within a system.
Xianfeng Yu, Yongming Li, Shengling Geng, Huirong Li   +3 more
doaj   +1 more source

From Flexible to Conformable Pressure Sensors: Mechanisms, Materials, and Biomedical Applications

Advanced Electronic Materials, EarlyView.
This review highlights recent progress, challenges and future opportunities in pressure sensing for advanced biomedical applications. We summarize key transduction mechanisms and emerging material strategies, discuss representative wearable and implantable applications for continuous physiological monitoring and provide a focused perspective on barrier
Rishabh B. Mishra, Andrea Ottomaniello, Virgilio Mattoli   +2 more
wiley   +1 more source

A five-phase combinatorial approach for solving a fuzzy linear programming supply chain production planning problem

Cogent Engineering
Supply Chain Production Planning (SCPP) is a core value of operation management that affects organization performance and market competitiveness. In the presence of increasing competitive market pressure, firms need to look for a surviving way to improve
Noppasorn Sutthibutr, Navee Chiadamrong, Kunihiko Hiraishi, Suttipong Thajchayapong   +3 more
doaj   +1 more source

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

AIChE Journal, EarlyView.
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho, Akshay Kudva, Parth Shah, Dongheon Lee, Joseph Sang‐Il Kwon   +4 more
wiley   +1 more source

Hybrid Narwhale Optimization with Super Modified Simplex and Runge–Kutta Enhancements: Benchmark Validation and Application to Fuzzy Aggregate Production Planning

Algorithms
Aggregate production planning (APP) helps medium-term production, manpower, inventory, and subcontracting decisions match expected demand. Deterministic planning models are generally ineffective in manufacturing due to demand and operational variability.
Pasura Aungkulanon, Anucha Hirunwat, Roberto Montemanni, Pongchanun Luangpaiboon   +3 more
doaj   +1 more source

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

in Different Levels and Solving by ε-Constraint Approach [PDF]

چشم‌انداز مدیریت صنعتی, 2018
Nowadays, due to the huge effects of designing the supply network on the economic interests of organizations, the quality of providing appropriate services and customer satisfaction, the problem of network design is one of the most interesting and ...
Fatemeh Fazeli, Masoud Seidi
doaj