Results 71 to 80 of about 1,720,849 (270)

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

open access: yesAdvanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia   +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

open access: yesAlgorithms
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   +3 more
doaj   +1 more source

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

open access: yesAdvanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang   +5 more
wiley   +1 more source

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

open access: yesچشم‌انداز 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  

Designing a successful trading agent using fuzzy techniques

open access: yes, 2004
Software agents are increasingly being used to represent humans in on-line auctions. Such agents have the advantages of being able to systematically monitor a wide variety of auctions and then make rapid decisions about what bids to place in what ...
He, M.   +3 more
core  

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

open access: yesAdvanced 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   +9 more
wiley   +1 more source

Spread-Repair Algorithm for Solving Extended Fuzzy Constraint Satisfaction Problems [PDF]

open access: yes, 2007
In this paper, we propose a new type of FCSPs called hybrid domain FCSPs that have a mixture of discrete and continuous domains. To solve this type of problems, we present an algorithm called Spread-Repair based on the framework of iterative improvement.
Yasuhiro Sudo   +2 more
openaire   +2 more sources

Model predictive control with inline parameter adaptation for direct crystal growth rate regulation

open access: yesAIChE Journal, EarlyView.
Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
wiley   +1 more source

Optimizing berth allocation problem with irregular layout using an improved genetic algorithm under uncertain conditions

open access: yesFuzzy Information and Engineering
This study addresses the berth allocation problem (BAP) in container terminals with irregular layouts under epistemic uncertainty conditions, proposing a mixed-integer linear programming (MILP) model to minimize operational costs via spatial-temporal ...
Sima Sargazi   +3 more
doaj   +1 more source

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

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