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Linear programming-based multi-objective floorplanning optimization for system-on-chip
In the area of very large-scale integrated circuit design, optimizing floorplans for area, wirelength, and temperature poses a daunting challenge....
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VITALT: a robust and efficient brain tumor detection system using vision transformer with attention and linear transformation
Brain tumor detection and classification are crucial steps in evaluating life-threatening abnormal tissues to provide appropriate treatment plans....
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Instant learning based on deep neural network with linear discriminant analysis features extraction for accurate iris recognition system
Biometric-based identity verification systems have gained substantial attention due to their ability to provide high-level security. Among these...
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Decision Support System for Predicting Ventricular Arrhythmias Using Non-linear Features of ECG Signals
Automated methods using computer-aided decision-making process are effectively used for timely detection of VAs which are the most life-threatening...
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Prescribed-time leader-following consensus of linear multi-agent systems by bounded linear time-varying protocols
This paper considers the prescribed-time leader-following consensus problem of input-constrained linear multi-agent systems under generally directed...
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Discrete Linear Geometry on Grid System
We define the algebraic discrete geometry to a hexagonal grid system on a plane. Since a hexagon is an element for tiling on a plane, hexagons are...
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Collaborative Multi-agent System for Automatic Linear Text Segmentation
This paper proposes a collaborative multi-agent system for splitting documents into semantically coherent text chunks, labeling them according to a... -
Multi-parameter dimensional split preconditioner for three-by-three block system of linear equations
For a class of three-by-three block systems of linear equations arising from many practical problems, we develop a multi-parameter dimensional split...
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Linear Algebra
This chapter provides an essential introduction to linear algebra, tailored to improve understanding of its importance in machine learning. It begins... -
Linear Constant Discrete System Based Evaluation of Equipment System-of-Systems
To meet the demand that analyzing the impact of architecture and equipment performance on capability and cost of equipment system-of-systems, an... -
A τ-preconditioner for a non-symmetric linear system arising from multi-dimensional Riemann-Liouville fractional diffusion equation
In this paper, we study a τ -preconditioner for non-symmetric linear system arising from a steady-state multi-dimensional Riemann-Liouville (RL)...
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MELEPS: Multiple Expert Linear Epitope Prediction System
Taiwan is one of the most important fishery countries in the world due to its leading fishery breeding and farming technologies. However,... -
Dynamic analysis of a novel chaotic system with no linear terms and use for DNA-based image encryption
The present paper proposes the design of a new image encryption scheme based jointly on DNA coding and the chaotic sequence generated by a new 3D...
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Linear Models
Linear models are an important class of machine learning models that have been applied in various areas including genomic classification,... -
A Linear Proof Language for Second-Order Intuitionistic Linear Logic
We present a polymorphic linear lambda-calculus as a proof language for second-order intuitionistic linear logic. The calculus includes addition and... -
qRLS: quantum relaxation for linear systems in finite element analysis
Quantum linear system algorithms (QLSAs) for gate-based quantum computing can provide exponential speedups for solving linear systems but face...
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Expected linear round synchronization: the missing link for linear Byzantine SMR
State Machine Replication (SMR) solutions often divide time into rounds, with a designated leader driving decisions in each round. Progress is...
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Non-linear Regression
In this chapter, we will refine the results of linear algorithms using nonlinear minimisation algorithms, such as LM. This is more computationally... -
Use generalized linear models or generalized partially linear models?
We propose test statistics based on the penalized spline to decide between generalized linear models and generalized partially linear models. The...
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Activity propagation in systems of linear inequalities and its relation to block-coordinate descent in linear programs
We study a constraint propagation algorithm to detect infeasibility of a system of linear inequalities over continuous variables, which we call...