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Predicting Risk through Artificial Intelligence Based on Machine Learning Algorithms: A Case of Pakistani Nonfinancial Firms
Published 2022-01-01“…So, in this study, we used financial ratios for accurate risk assessment and for the automation of corporate risk management by developing machine learning algorithms using techniques, namely, random forest, decision tree, naïve Bayes, and KNN. …”
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3022
Developing JSequitur to Study the Hierarchical Structure of Biological Sequences in a Grammatical Inference Framework of String Compression Algorithms
Published 2012-12-01“…Thus, we have developed JSequitur for automatically generating the grammatical structure of biological sequences in an inference framework of string compression algorithms. Our original motivation was to find any grammatical traits of several cancer genes that can be detected by string compression algorithms. …”
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A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic
Published 2025-01-01“…Additionally, the work involves using algorithms to manage energy within this solar system to optimize power generation. …”
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3027
An Investigation Towards Resampling Techniques and Classification Algorithms on CM1 NASA PROMISE Dataset for Software Defect Prediction
Published 2024-10-01Subjects: Get full text
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3028
Nanotechnology and LSTM machine learning algorithms in advanced fuel spray dynamics in CI engines with different bowl geometries
Published 2025-01-01“…Abstract This study explores the integration of nanotechnology and Long Short-Term Memory (LSTM) machine learning algorithms to enhance the understanding and optimization of fuel spray dynamics in compression ignition (CI) engines with varying bowl geometries. …”
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3029
An Effective Approach for Modular Community Detection in Bipartite Network Based on Integrating Rider with Harris Hawks Optimization Algorithms
Published 2021-01-01“…The proposed RHHO is developed by the integration of the Rider Optimization (RO) algorithm with the Harris Hawks Optimization (HHO) algorithm. …”
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3030
Iterative Algorithms for Mixed Equilibrium Problems, System of Quasi-Variational Inclusion, and Fixed Point Problem in Hilbert Spaces
Published 2014-01-01“…Strong convergence of the proposed iterative algorithm is obtained. Our results generalize, extend, and improve the results of Peng and Yao, 2009, Qin et al. 2010 and many authors.…”
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3031
Identifying an Odour Source in Fluid-Advected Environments, Algorithms Abstracted from Moth-Inspired Plume Tracing Strategies
Published 2010-01-01“…The algorithms are abstracted from moth-inspired chemical plume tracing strategies in two steps. …”
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3032
Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning
Published 2024-01-01“…To optimize the performance of machine learning models, the paper incorporates genetic algorithms for hyperparameter optimization. A comparative analysis is conducted among the genetic algorithm-based TPOT (Tree-based Pipeline Optimization Tool) settings, namely TPOT-Default, TPOT-Light, and TPOT-Sparse, to select the most effective hyperparameters. …”
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3033
A novel approach for the router nodes placement in wireless mesh networks using phasing with approximation optimization algorithms.
Published 2025-01-01“…The idea behind this method is to solve the RNP problem in two stages using an optimal algorithm with fewer variables than the original RNP problem. …”
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3034
De-noising algorithms for the raised cosine pulse signal using the minimum-energy frame in the discrete signal space
Published 2012-03-01“…The de-noising algorithms were proposed for the raised cosine pulse signal using minimum-energy(wavelet) frame in the discrete signal space.For the given two minimum-energy frames,the decomposition coefficients of sampled sequence appeared significant statistical characteristics difference between the raised cosine pulse signal and additive Gaussian noise under the frames’sub-sequences.Based on this,two threshold de-noising algorithms were provided to makes full use of the merit that the frame was fit for the de-noising work,they removed partial noise component while keeping the component of original signal and got effic nt de-noising result.The simulation results show that,when the modulating method is BPSK and its raised cosine pulse signal is polluted by the additive Gaussian noise,then if add a pre-processing link to denoise the receiving waveform using the algorithms,the receiver can greatly increase the signal-to-noise ratio of receiving signal and have about 3.1dB and 2.7dB performance gain of bit error ratio,respectively.…”
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Application of Graph Theory and Variants of Greedy Graph Coloring Algorithms for Optimization of Distributed Peer-to-Peer Blockchain Networks
Published 2025-01-01Subjects: “…greedy algorithms…”
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FPGA Implementations for Data Encryption and Decryption via Concurrent and Parallel Computation: A Review
Published 2021-03-01Subjects: “…Cryptography, DES algorithm, AES algorithm FPGAs Implementations, VHDL.…”
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3038
Based on the Integration of the Improved A* Algorithm with the Dynamic Window Approach for Multi-Robot Path Planning
Published 2025-01-01Subjects: “…A* algorithm…”
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Space alternating generalized maximum-likelihood based low-complexity list detection algorithm
Published 2016-04-01Subjects: Get full text
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Research of the Inverse of Tooth Surface Friction Coefficient based on Intergeneration Projection Genetic Algorithm
Published 2016-01-01Subjects: Get full text
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