Solution for Forward Kinematics of Parallel Mechanism based on PSO-BPNN and Newton-Raphson Algorithm by Qiguo Hu, Yanli Luo, Lijie Cao, Jun Zhang

“…Taking parallel mechanism as a research object， aiming at the problem that neural network algorithm is easy to fall into local optimization and the Newton-Raphson algorithm is sensitive to the initial value of iteration when solving forward kinematics， a general forward kinematics algorithm combining PSO-BPNN and Newton-Raphson algorithm is proposed. …”
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Study of algorithmic approaches to digital signal filtering and the influence of input quantization on output accuracy by Shermuradova Malika, Gadoeva Mavlyuda, Rahmatov Shukhrat, Abdullaev Uktamjon, Aralov Dilshod

“…A comprehensive comparison is made between classical and modern algorithmic approaches to digital filtering, highlighting the critical role of software-based solutions in suppressing quantization errors and mitigating the influence of random noise in analogue sensor data. …”
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Algorithm for Solving Distributed Workshop Scheduling Model Based on Order Constraints and Assembly Constraints by Tingting Qu

“…For this model, an improved greedy algorithm was combined to solve it, and particle swarm optimization algorithm was introduced to enhance the local and global search capabilities of the distributed scheduling system, effectively addressing the computational complexity in large-scale production environments. …”
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ALGORITHM OF DIAGNOSTICS AND TREATMENT OF AN AGE-RELATED MACULAR DEGENERATION AT PATIENTS WITH CHRONIC PERIPHERAL UVEITIS by Yu. I. Khoroshikh, O. I. Krivosheina, Ye. V. Melekhin

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UNVEILING GENDER FROM INDONESIAN NAMES USING RANDOM FOREST AND LOGISTIC REGRESSION ALGORITHMS by Musthofa Galih Pradana, Pujo Hari Saputro, Dyah Listianing Tyas

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Online stability assessment for isolated microgrid via LASSO based neural network algorithm by Ahmed Lasheen, Hatem F. Sindi, Hatem H. Zeineldin, Mohammed Y. Morgan

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Design of Enterprise Economic Information Management System Based on Big Data Integration Algorithm by Xiao Liu

“…The main focus of this research includes the mode, framework, and function of the whole system software. …”
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Optimizing Electric Vehicle Routing Efficiency Using K-Means Clustering and Genetic Algorithms by Tal Gaon, Yovel Gabay, Miri Weiss Cohen

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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

“…On the basis of the proposed solution, the adaptive firewall module was implemented as part of the research.…”
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Inventory control strategy based on neural network and fuzzy algorithm in intelligent warehousing system by Chunmei Xie, Cong Xie

“…However, the applicability of the model in different industry scenarios still needs to be verified by further research.…”
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Artificial Optimizer Algorithm for Power System Stabilizer design problem and multidisciplinary engineering applications by Narinder Singh, Mandeep Kaur, Essam H. Houssein

“…The novelty of this research lies in presenting a fresh stochastic algorithm enthused via ‘Velociraptor’ social intelligence in wildlife (or nature), known as the Velociraptor Group Optimization algorithm (VROA). …”
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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 bibliographic search of the existing literature on machine learning algorithms applied to hospital length of stay predictions highlighted the most relevant papers within this area of research. …”
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Securing digital images: A chaos-driven scrambling algorithm using the Rössler system. by Nasreen Zulfiqar, Tauqir Ahmad, Taher M Ghazal, Atif Ikram, Foziah Gazzawe, Marwan Ali Albahar, Abdelrahman H Hussein, Ahmad Salman Khan

“…This research introduces a novel scrambling algorithm that employs a row- and column-based scrambling approach. …”
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Implementation of the K-Means Algorithm for Customer Churn Segmentation in Developing Bank Marketing Strategies by Reva Nur Rahmadiana, Dinda Lestarini

“…This study aims to segment customers based on characteristics that influence their churn risk using the K-Means algorithm. The data used in this research is secondary data consisting of 9,763 customer records from a bank customer churn dataset obtained via the Kaggle platform. …”
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Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms by Tuxiang Lin, Rongliang Lin

“…Extensive experiments and ablation studies highlight the complementary strengths of STGCN and LSTM, with the hybrid model outperforming standalone variants. The PPO algorithm dynamically adjusts signal timings, reducing vehicle waiting times by 30% and increasing traffic throughput by 15%. …”
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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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Enhancing workflow efficiency with a modified Firefly Algorithm for hybrid cloud edge environments by Deafallah Alsadie, Musleh Alsulami

“…In this study, we evaluate various scheduling algorithms, emphasizing the Modified Firefly Optimization Algorithm (ModFOA) and comparing it with established methods such as Ant Colony Optimization (ACO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). …”
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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 Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure by Zhenglin Li, Zhanjie Zhao, Wujun Gao, Li Jiao

“…Compared to the QEM algorithm and the other two comparison algorithms selected in this paper, the simplified model resulting from this algorithm exhibit a reduction in Hausdorff distance, mean error, and mean square error to varying degrees. …”
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A clustering algorithm based on grids for core data and adjacency relationships for edge data by Honglei He

“…To address these issues, existing research primarily focuses on three directions: (1) optimizing the adaptive selection of grid parameters, which struggles to handle variations in cluster density; (2) improving grid division methods (e.g., multi-granularity or dynamic grids), which have limited effectiveness on complex-shaped data; and (3) integrating other clustering techniques, which enhances accuracy but increases algorithmic complexity. …”
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