School furniture has been recognised as a potential risk factor for musculoskeletal pain among primary school pupils. the aim of this study was to assess student-furniture mismatch and to determine the association bet...
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Financial distress prediction (FDP) has been a subject of extensive and ongoing research because of its significance in both internal and external components of enterprises including investors and creditors. Financial...
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ISBN:
(纸本)9781450399050
Financial distress prediction (FDP) has been a subject of extensive and ongoing research because of its significance in both internal and external components of enterprises including investors and creditors. Financial institutions must to be able to foresee financial difficulty in order to allow them for evaluating the financial health of businesses and individuals. Data pre-processing techniques have been found to increase the efficacy of prediction models, and many research consider feature selection as a pre-processing step before creating the models. the creation of efficient feature selection algorithms is one of the main challenges facing FDP. In this study, we present a hybrid methodology for predicting financial distress using a Multi-Layer Perceptron and Genetic Algorithm (MLP_GA) model with boruta automated feature selection. the proposed model is designed on genetic algorithm- based tuning of the crucial MLP hyperparameters, including Network depth, Dense layer activation function, Network width, and Network optimizer for a reliable prediction. this paper investigates how boruta algorithm based feature selection method improve the accuracy of our MLP_GA algorithm. We access the FDP performance utilizing samples of enterprises based in MENA area. Resampling with k-fold evaluation metrics is employed in the experiments. the experimental results indicate that the adoption of the boruta automated feature selection method has significantly enhanced the prediction performance and accuracy of the FDP model.
the proceedings contain 27 papers. the special focus in this conference is on Positive systems. the topics include: Travel Behavior Analysis for Free-Floating Bike Sharing systems Based on Markov-Chain Models;positive...
ISBN:
(纸本)9783030043261
the proceedings contain 27 papers. the special focus in this conference is on Positive systems. the topics include: Travel Behavior Analysis for Free-Floating Bike Sharing systems Based on Markov-Chain Models;positive L1 Controller Design for Positive Piecewise Homogeneous Markovian Jump systems;stabilization Design for Uncertain Linear Positive systems with Time-Delay;stability Analysis of Discrete-Time Periodic Positive systems with Delays;extension of Lossless Negative Imaginary Lemmas to systems with Poles at the Origin;SDA-RVM Based Approach for Surge Fault Detection and Diagnosis During Aero-Engine Take-Off Process;closed-Loop Nash Games for Interconnected Positive Nonlinear systems with H∞ Constraint;note on Interval Observer Design Based on Positive System theory;a New Interval Observer Design Method with Application to Fault Detection;novel Approaches to Stability and Stabilization of Positive Switched systems with Unstable Subsystems;A Left Eigenvector Producing a Smooth Lyapunov Function of ISS Networks;pinning Control Design for Stabilization of Boolean Networks From Constructed Boolean Control Networks;improved Multiple-State Observer Design for Boolean Control Networks;identifiability of Boolean Networks via Output Data and Initial States;oscillation Analysis of Abscisic Acid Signal Transduction Network: A Semi-tensor Product Approach;a New Energy-Efficient Flooding Broadcast Time Synchronization for Wireless Sensor Networks;bounded Synchronization for a Class of Coupled Complex Networks with Nonidentical Nodes;on the Common Linear Copositive Lyapunov Functions for Compartmental Switched systems;robust Stabilization for Constrained Switched Positive Linear systems via Output-Feedback;stability Analysis of Discrete-Time Switching Positive System with Delays: Homogeneous Polynomial Copositive Lyapunov Function Method.
the proceedings contain 13 papers. the special focus in this conference is on theoretical Computer Science. the topics include: A Survey on the Classic Active Measurement Methods for IPv6;deriving Security Protocols B...
ISBN:
(纸本)9789811618765
the proceedings contain 13 papers. the special focus in this conference is on theoretical Computer Science. the topics include: A Survey on the Classic Active Measurement Methods for IPv6;deriving Security Protocols Based on Protocol Derivation System;An Offloading Strategy Based on RSU Cooperation for Vehicular Edge computing System;algorithm Design through the Optimization of Reuse-Based Generation;an Improved Firefly Algorithm for Software Defect Prediction;semi-online algorithms for Hierarchical Scheduling on three Parallel Machines with a Buffer Size of 1;GDAssister: Graphic Design Assistant System with Optimal Algorithm of Associated Rule Mining;late Fusion Multi-view Clustering with Learned Consensus Similarity Matrix;minimal Residual Based Iterative Methods and Its Parallel Implementation for Sparse Linear systems;a Simple yet Effective Unsupervised Adversarial Example Generation Framework for Vulnerability Assessment on Deep Learning;application of Graph Neural Network in Automatic Text Summarization.
Passive sonar system is an essential method for underwater target recognition. However, it is also a challenging task due to the interference of ambient noise and multiple operative conditions of different targets. In...
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Sustainability includes the digitalization of enterprises as a key factor. Digitalization and automation in ensuring the financial stability of enterprises will create opportunities to reduce the receivables and payab...
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ISBN:
(纸本)9781450399050
Sustainability includes the digitalization of enterprises as a key factor. Digitalization and automation in ensuring the financial stability of enterprises will create opportunities to reduce the receivables and payables of enterprises. Digitalization and further development of digital financial activities are important in the process of transformation of state-owned enterprises. At the same time, the possibility of delivering electricity to consumers, as well as ensuring the prompt provision of electricity metering and ensuring transparency, was mainly studied. At the same time, the analysis was carried out on the example of the activities of joint stock companies of the Regional Electric networks of the Republic of Uzbekistan. the main attention was paid to the issues of ensuring financial stability by automating the accounting activities of the enterprise and developing digital information capabilities. In addition, it was proposed to involve a state-owned commercial bank as a founder along withthe Ministry, which controls the activities of an enterprise with a state share interms of management activities, in order to create an opportunity to further stimulate the financial activities of a joint-stock company.
the article considers the approaches to assessing the financial security of enterprises presented in the literature, determines the rsistance of the textile industry of Uzbekistan to the negative impact of the coronav...
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ISBN:
(纸本)9781450399050
the article considers the approaches to assessing the financial security of enterprises presented in the literature, determines the rsistance of the textile industry of Uzbekistan to the negative impact of the coronavirus pandemic on the basis of statistical data, and reveals a significant differentiation of textile industry enterprises in terms of financial stability. Based on data on small enterprises in the textile industry of Uzbekistan, a method for assessing the financial security of an enterprise in the post-pandemic period is proposed and tested, taking into account the complex influence of non-financial parameters of economic security and assessing the deviations of the economic situation at a given enterprise from the patterns emerging in the relevant segment of the economy. In this research an econometric model was developed to determine the factors affecting the chemical industry and express their interrelationship, based on the conducted econometric analysis, the directions of development in our country were determined. According to the authors, it is necessary to continue these directions in order to ensure the economic security of industry enterprises in the country.
Algebraic Bayesian networks belong to the class of machine-learning probabilistic graphical models. One of the main tasks during researching machine learning models is the optimization of their time of work. this pape...
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ISBN:
(纸本)9783030500979
Algebraic Bayesian networks belong to the class of machine-learning probabilistic graphical models. One of the main tasks during researching machine learning models is the optimization of their time of work. this paper presents approaches to parallelizing algorithms for maintaining local consistency in algebraic Bayesian networks as one of the ways to optimize their time of work. An experiment provided to compare the time of parallel and nonparallel realizations of algorithms for maintaining local consistency.
Computers and various imaging technologies effectively enhanced the diagnostic procedures of medical imaging, where various medical images enhance the early diagnosis, characterizing and discriminating of different he...
ISBN:
(纸本)9781450399050
Computers and various imaging technologies effectively enhanced the diagnostic procedures of medical imaging, where various medical images enhance the early diagnosis, characterizing and discriminating of different health problems, which lead to efficient healthcare services and treatments. Digital image processing and medical images analysis can significantly support medical diagnosis by providing the necessary tools for automatic detection, extracting significant information and accurate measurement of visible abnormalities. However, there are many challenges related to medical images as well as challenges that arise during the various stages of image processing. this paper provides an overview of different challenges related to medical images and medical image processing. the most prominent and significant challenges are identified and introduced not to discourage the interested researchers in this field of image processing, but to fill the gap of missing a comprehensive overview on these challenges.
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