Results 81 to 90 of about 132,996 (290)

Polyhedral approximation in mixed-integer convex optimization

, 2017
Generalizing both mixed-integer linear optimization and convex optimization, mixed-integer convex optimization possesses broad modeling power but has seen relatively few advances in general-purpose solvers in recent years.
Bent, Russell, Lubin, Miles, Vielma, Juan Pablo, Yamangil, Emre   +3 more
core   +1 more source

Differential and Linear Cryptanalysis Using Mixed-Integer Linear Programming

, 2012
Differential and linear cryptanalysis are two of the most powerful techniques to analyze symmetric-key primitives. For modern ciphers, resistance against these attacks is therefore a mandatory design criterion. In this paper, we propose a novel technique to prove security bounds against both differential and linear cryptanalysis.
Mouha, Nicky, Wang, Qingju, Gu, Dawu, Preneel, Bart   +3 more
openaire   +2 more sources

Buried Unstrained Germanium Channels: A Lattice‐Matched Platform for Quantum Technology

Advanced Science, EarlyView.
ABSTRACT Strained germanium (ε$\varepsilon$‐Ge) and strained silicon (ε$\varepsilon$‐Si) buried quantum wells have enabled advanced spin‐qubit quantum processors. However, in the absence of suitable lattice‐matched substrates, ε$\varepsilon$‐Ge and ε$\varepsilon$‐Si are deposited on defective, metamorphic SiGe buffers, which may impact device ...
Davide Costa, Patrick Del Vecchio, Karina Hudson, Lucas E. A. Stehouwer, Alberto Tosato, Davide Degli Esposti, Vladimir Calvi, Luca Moreschini, Mario Lodari, Stefano Bosco, Giordano Scappucci   +10 more
wiley   +1 more source

Efficient primal heuristics for mixed-integer linear programs

, 2022
This work will be published on the ML4CO NeurIPS 2021 Competition website (https://www.ecole.ai/2021/ml4co-competition/) in the proceedings section. A succinct version will appear in a special Proceedings of Machine Learning Research (PMLR) volume dedicated to the NeurIPS 2021 ...
Wang, Akang, Yang, Linxin, Lai, Sha, Luo, Xiaodong, Zhou, Xiang, Huang, Haohan, Shao, Shengcheng, Zhu, Yuanming, Zhang, Dong, Quan, Tao   +9 more
openaire   +2 more sources

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source

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

, 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.
Darby-Dowman, K, Lucas, CA, Mitra, G, Yadegar, J   +3 more
core  

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

Advanced 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, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

A Mixed-Integer Linear Programming Formulation for Distribution Network Reconfiguration

IEEE Access
The Distribution Network Reconfiguration (DNR) problem is a well-known problem in the field of power system optimization. It consists of altering the state of the switches in Distribution Networks (DNs), resulting in a topology that is optimal with ...
Aghyles Graine, Jean-Paul Gaubert
doaj   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

A Mixed-Integer Linear Programming Scheduling Optimization Model for Refinery Production

Chemical Engineering Transactions, 2016
This paper addresses the problem of production planning and scheduling in an oil refinery process. In the process crude oil is transformed to bitumen and naphthenic special oils. The aim of the scheduling optimization is to decide which mode of operation
Z.K. Zheng, H.J. Zhang
doaj   +1 more source