Low-Complexity LDPC Decoding Algorithm Based on Layered Vicinal Variable Node Scheduling by Mhammed Benhayoun, Mouhcine Razi, Anas Mansouri, Ali Ahaitouf

“…The proposed scheduling strategy is fixed by a preprocessing step of the parity control matrix instead of calculation of the residuals values and by computation of the most influential variable node instead the most unreliable metric. It also allows the parallel processing of independent Tanner graph subbranches identified and grouped in layers. …”
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Comparative Analysis of KNN and Neavy Bayes Algorithms in Socio-Economic Data Classification in Indonesia by Kiki Buhori, Andrianingsih

“…The economic recovery has also resulted in structural changes, meaning that some sectors, jobs, technologies and behaviors will not return to pre-pandemic trends. …”
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A novel MPPT Algorithm Based on MRAC-FUZZY Controller for Solar Photovoltaic Systems by Mahbouba Brahmi, Afef Marai, Hichem Hamdi, Chiheb Ben Regaya, Abderrahmen Zaafouri

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A Hybrid Seed Node Selection and No-Retracing Random Walk in Page Rank Algorithm by Azam Bastanfard, Ali Kheradbeygi Moghadam, Ali Fallahi RahmatAbadi

“…However, reducing the input data size is still a considerable topic to increase the efficiency and speed of this algorithm. The two approaches discussed in this paper, the no-retracing and the seed node selection algorithms, inspired the development of random walk technique. …”
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Optimizing Renewable Energy Systems Placement Through Advanced Deep Learning and Evolutionary Algorithms by Konstantinos Stergiou, Theodoros Karakasidis

“…This approach not only advances renewable energy optimization but also equips stakeholders with practical tools for guiding the strategic deployment of RES across diverse regions, contributing to sustainable energy management.…”
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Development and Study of Algorithms for the Formation of Rules for Network Security Nodes in the Multi-Cloud Platform by Denis I. Parfenov, Irina P. Bolodurina, Vadim A. Torchin

“…It is also recommended to reduce the size of the firewall security rule list using the Kohonen network, as this tool shows the best performance. …”
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Password strength verification based on machine learning algorithms and LSTM recurrent neural networks by V. V. Belikov, I. A. Prokuronov

“…This susceptibility requires not only the strict protection of user credentials, but also the definition of criteria for increasing a password’s strength to minimize the possibility of its exploitation by an attacker. …”
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Prediction of surface deformation time series in closed mines based on LSTM and optimization algorithms by Hu Caixiong, Zhang Lili, Li Haoran, Zhang Yaowen, Yao Yunsheng

“…Underground coal mining impacts surface deformation not only during mining operations but also after mine closures, potentially causing prolonged subsidence or uplift. …”
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Cooperative Scheduling of Imaging Observation Tasks for High-Altitude Airships Based on Propagation Algorithm by He Chuan, Qiu Dishan, Liu Jin

“…Meanwhile, this paper also provides the realization approach of the above algorithm and especially makes a detailed introduction on the encoding rules, search models, and propagation mechanism of the PA. …”
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A FPGA Accelerator of Distributed A3C Algorithm with Optimal Resource Deployment by Fen Ge, Guohui Zhang, Ziyu Li, Fang Zhou

“…However, the distributed and asynchronous nature of the A3C algorithm brings increased algorithm complexity and computational requirements, which not only leads to an increased training cost but also amplifies the difficulty of deploying the algorithm on resource-limited field programmable gate array (FPGA) platforms. …”
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Hospital Length-of-Stay Prediction Using Machine Learning Algorithms—A Literature Review by Guilherme Almeida, Fernanda Brito Correia, Ana Rosa Borges, Jorge Bernardino

“…The papers were analyzed in terms of model types and metrics that contributed to the considerable impact on healthcare decision making. We also discuss the challenges and limitations of machine learning algorithms for predicting length of stay, and the importance of data quality and ethical considerations.…”
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Energy optimization using adaptive control algorithm to enhance the performance of SDN_IOT environment by I. Varalakshmi, M. Thenmozhi

“…The system reduces energy consumption by 18%, improves detection accuracy by 2% (from 97.5% to 99.4%), and lowers the false positive rate to 0.01% compared to existing algorithms. The suggested approach also improves throughput by 2.6%, decreases detection time by 70%, and reduces CPU use by 15%, all of which contribute to quicker mitigation of DDoS attacks. …”
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Three-Dimensional Visualization Algorithm Simulation of Construction Management Based on GIS and VR Technology by Shuhong Xu

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A Photoacoustic Imaging Algorithm Based on Regularized Smoothed L0 Norm Minimization by Xueyan Liu, Limei Zhang, Yining Zhang, Lishan Qiao

“…In addition, a real experimental dataset from agar phantom is also used to verify the effectiveness of the ReSL0 algorithm. …”
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Fault Detection in Blowfish Algorithm Using FPGA-Based Modified Decision Tree Approach by Joseph Anthony Prathap, Mithileysh Sathiyanarayanan

“…This research article identifies the fault occurrence in the blowfish cryptography algorithm using a modified Decision Tree classifier. …”
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Expert-based sustainable investment strategies for SMEs with hybrid molecular fuzzy learning algorithms by Anisah Firli, Dadan Rahadian, Hasan Dinçer, Serhat Yüksel, Deannes Isyuwardhana, Cahyaningsih, Putri Fariska

“…The purpose of this study is to identify prior sustainable investment strategies for small and medium enterprises (SMEs) by proposing a hybrid molecular fuzzy decision-making model. First, q-learning algorithm is used to compute the weights of the experts. …”
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An adaptive chaotic league championship algorithm for solving global optimization and engineering design problems by Tanachapong Wangkhamhan, Jatsada Singthongchai

“…This paper introduces a novel approach to global numerical optimization through the development of an Adaptive Chaotic League Championship Algorithm (AC-LCA). Our methodology enhances the conventional League Championship Algorithm (LCA) by integrating an adaptive chaotic local search mechanism. …”
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Financial Fraud Detection Approach Based on Firefly Optimization Algorithm and Support Vector Machine by Ajeet Singh, Anurag Jain, Seblewongel Esseynew Biable

“…The usage of credit cards is increasing daily for online transactions to buy and sell goods, and this has also increased the frequency of online credit card fraud. …”
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Residential Building Energy Usage Prediction Using Bayesian-Based Optimized XGBoost Algorithm by Nabaa Riyadh Baqer, Parviz Rashidi-Khazaee

“…The state-of-the-art eXtreme Gradient Boosting (XGB) algorithm was successfully used to estimate the Heating Load (HL) and Cooling Load (CL) energy usage based on building design characteristics. …”
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Hypertension Detection Using Passive-Aggressive Algorithm With The PA-I And PA-II Methods by M. Hafidz Ariansyah, Sri Winarno

“…This algorithm can work well for learning by transforming data and dealing with unbalanced classification problems. …”
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