Results 101 to 110 of about 30,996 (263)

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

open access: yesAdvanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu   +5 more
wiley   +1 more source

Complex Pythagorean Normal Interval-Valued Fuzzy Aggregation Operators for Solving Medical Diagnosis Problem

open access: yesInternational Journal of Computational Intelligence Systems
This paper presents a new methodology for solving multiple-attribute decision-making problems (MADMs) using a complex Pythagorean normal interval-valued fuzzy set (CPNIVFS), which is an extended concept of a complex Pythagorean fuzzy set.
Murugan Palanikumar   +4 more
doaj   +1 more source

Why Methods for Optimization Problems with Time-Consuming Function Evaluations and Integer Variables Should Use Global Approximation Models

open access: yes
This paper advocates the use of methods based on global approximation models for optimization problems with time-consuming function evaluations and integer variables.We show that methods based on local approximations may lead to the integer rounding of ...
Brekelmans, R.C.M.   +4 more
core  

An investigation of computer based tools for mathematical programming modelling [PDF]

open access: yes, 1986
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel University.Science and Engineering Research ...
Lucas, C.A, Lucas, Cormac Anthony
core  

Efficient mixed-integer planning for UAVs in cluttered environments

open access: yes, 2015
We present a new approach to the design of smooth trajectories for quadrotor unmanned aerial vehicles (UAVs), which are free of collisions with obstacles along their entire length.
Tedrake, Russell Louis   +1 more
core   +1 more source

Hadamard Matrix Slicing Single‐Pixel Imaging: Establishing a Linear‐Array‐Inspired Paradigm for N‐fold Acceleration Single‐Pixel Imaging

open access: yesAdvanced Science, EarlyView.
To overcome two‐dimensional modulation bottlenecks, Hadamard Matrix Slicing Single‐Pixel Imaging (HMS‐SPI) establishes an efficient one‐dimensional imaging paradigm. By slicing the traditional Hadamard matrix into one‐dimensional encoding vectors and spatially expanding them, the required measurement patterns decrease by a factor of N.
Xiaoxue Li   +8 more
wiley   +1 more source

Unsupervised learning of morphological forests

open access: yes, 2017
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.Cataloged from PDF version of thesis.Includes bibliographical references (pages 39-41).This thesis focuses on unsupervised modeling of ...
Luo, Jiaming, (Scientist in Electrical Engineering and Computer Science) Massachusetts Institute of Technology
core  

Imaging Electric Polarization Switching in Multilayer Graphene

open access: yesAdvanced Science, EarlyView.
Domain wall sliding‐induced electric polarization switching is directly observed for the first time in multilayer graphene, enabled by a novel optical readout method. The polarization switching is realized upon application of global and local electric fields, and mechanical forces between neighboring polar domains of opposite out‐of‐plane polarizations
Zhou Zhou   +10 more
wiley   +1 more source

Linear, integer separable and fuzzy programming problems: a united approach towards automatic reformulation

open access: yes, 1986
For mathematical programming (MP) to have greater impact as a decision tool, MP software systems must offer suitable support in terms of model communication and modelling techniques.
Mitra, G   +3 more
core  

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

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