Revolutionizing sleep disorder diagnosis: A Multi-Task learning approach optimized with genetic and Q-Learning techniques by Soraya Khanmohmmadi, Toktam Khatibi, Golnaz Tajeddin, Elham Akhondzadeh, Amir Shojaee

“…The weights for this combination were optimized using the genetic algorithm and the Q-learning algorithm, aiming to minimize loss and maximize accuracy. …”
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Analysis of loss probabilities on the call level and packet level in a multi-rate system by JIANG Hong-yan, LIN Ya-ping, HUANG Sheng-ye

“…A systematic research on the performance analysis on the call level and the packet level in a system with multi-rate VBR services was made.According to the global balance condition of a multi-dimensional Markov chain,an algorithm of accurately evaluating the probability distribution of on-line connections of each service type in a system with partial sharing policy was proposed.Further,the call blocking probability and the packet loss probability were ob-tained.Simulation results show that the algorithm is accurate.…”
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Maximizing information in neuron populations for neuromorphic spike encoding by Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat

“…This work proposes an approach based on maximizing the mutual information between the signal and the spikes in the population of neurons. The proposed algorithm is inspired by the information-theoretic framework of Partial Information Decomposition. …”
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A new finite difference algorithm for boundary value problems involving transmission conditions by Semih Çavuşoğlu, Oktay Sh. Mukhtarov

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Modeling of CO2 solubility and partial pressure in blended diisopropanolamine and 2-amino-2-methylpropanol solutions via response surface methodology and artificial neural network by Zohreh Khoshraftar

“…Its topology was structured as 4-10-1 for predicting CO2 solubility and 4-5-1 for predicting CO2 partial pressure. The accuracy of the predictions was notably high, with coefficients of determination of 0.99581 for CO2 solubility and 0.99839 for CO2 partial pressure, achieved using the Levenberg-Marquardt algorithm. …”
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Research on a New Maximum Power Tracking Algorithm for Photovoltaic Power Generation Systems by Lei Shi, Zongyu Zhang, Yongrui Yu, Chun Xie, Tongbin Yang

“…Therefore, controlling MPPT under partial shading conditions is a complex task. OBJECTIVES: This study aims to introduce a novel MMPT algorithm based on the ant colony incorporated bald eagle search optimization (AC-BESO) method to enhance the efficiency of PV systems. …”
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Disjunctive and conjunctive decompositions of incompletely defined Boolean functions in a Binary Decision Diagram by P. N. Bibilo

“…The application of the proposed algorithms and already known algorithms for minimizing multilevel BDD representations of partial function systems allows us to obtain the best results of technologically independent logical optimization, the initial stage of logic circuit synthesis.…”
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Non-Destructive Detection of Pesticide-Treated Baby Leaf Lettuce During Production and Post-Harvest Storage Using Visible and Near-Infrared Spectroscopy by Dimitrios S. Kasampalis, Pavlos I. Tsouvaltzis, Anastasios S. Siomos

“…The genetic algorithm (GA) and the variable importance in projection (VIP) scores identified eleven distinct regions and nine specific wavelengths that exhibited the most significant effect in the detection models, with most of them in the near-infrared region of the electromagnetic spectrum. …”
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Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy by Guohua Wu, Witold Pedrycz, Haifeng Li, Dishan Qiu, Manhao Ma, Jin Liu

“…Discovering and utilizing problem domain knowledge is a promising direction towards improving the efficiency of evolutionary algorithms (EAs) when solving optimization problems. …”
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Poisson Noise Removal Scheme Based on Fourth-Order PDE by Alternating Minimization Algorithm by Weifeng Zhou, Qingguo Li

“…To overcome the staircasing effects introduced by the TV regularization in image restoration, this paper investigates a fourth-order partial differential equation (PDE) filter for removing Poisson noise. …”
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PCPIR-V:parallel privacy protected algorithms for nearest neighbor query based on Spark by Shi-zhuo DENG, Ji-tao YAO, Bo-tao WANG, Yue-mei CHEN, Ye YUAN, Yan-hui LI, Guo-ren WANG

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Solving the Telegraph and Oscillatory Differential Equations by a Block Hybrid Trigonometrically Fitted Algorithm by F. F. Ngwane, S. N. Jator

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An Obstacle Perception Algorithm Based on Multi-Sensor Fusion for Autonomous-Rail Rapid Transit by JIANG Liangyu, PAN Wenbo, HUANG Ruipeng

“…Meanwhile, the post-fusion algorithm introduces redundancy to maintain the detection system valid when a single algorithm is out of work, as a means to ensure operational safety. …”
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An FPGA Task Placement Algorithm Using Reflected Binary Gray Space Filling Curve by Senoj Joseph Olakkenghil, K. Baskaran

“…Many online task placement algorithms designed for such partially reconfigurable systems have been proposed to provide efficient and fast task placement. …”
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A FAST ALGORITHM FOR COMPUTING SHORT AND LONG –LENGTH LINEAR AND CIRCULAR DISCRETE CONVOLUTION by Ali K. Nahar, Hussein K. Khleaf

“…This work presents a set of efficient algorithmic methods for both linear and circular computing. …”
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Algorithmic construction of SSA-compatible extreme rays of the subadditivity cone and the N = 6 solution by Temple He, Veronika E. Hubeny, Massimiliano Rota

“…The paper includes a detailed description of the algorithm used for the computation, which is presented in a general framework and can be applied to any situation involving a polyhedral cone defined by a set of linear inequalities and a partial order among them to find extreme rays corresponding to down-sets in this poset.…”
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A lightweight UAV target detection algorithm based on improved YOLOv8s model by Fubao Ma, Ran Zhang, Bowen Zhu, Xirui Yang

“…First, Cross Stage Partial Convolutional Neural Network (CNN) Transformer Fusion Net (CSP-CTFN) is proposed. …”
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Solving and Optimization of Cobb–Douglas Function by Genetic Algorithm: A Step-by-Step Implementation by Ali Dinc, Faruk Yildiz, Kaushik Nag, Murat Otkur, Ali Mamedov

“…This study presents an innovative application of genetic algorithms (GAs) for optimizing the Cobb–Douglas production function, a cornerstone of economic modeling that examines the relationship between production output and the inputs of labor and capital. …”
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An Efficient Computational Algorithm for the Nonlocal Cahn–Hilliard Equation with a Space-Dependent Parameter by Zhengang Li, Xinpei Wu, Junseok Kim

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A novel star-nosed mole optimization algorithm applied for MPPT of PV systems by Ali M. Eltamaly, Zeyad A. Almutairi

“…Abstract Star-nosed mole optimization (SNMO) algorithm is a novel metaheuristic algorithm inspired by the unique foraging behavior of the star-nosed mole. …”
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