A Linear Fitting Algorithm Based on Modified Random Sample Consensus by Yujin Min, Yun Tang, Hao Chen, Faquan Zhang

“…Experimental results demonstrate that the proposed improved RANSAC linear fitting algorithm outperforms the Weighted Least Squares, traditional RANSAC, and Maximum Likelihood Estimation methods, achieving a reduction in the sum of squared residuals by 29%, 16%, and 8%, respectively.…”
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An automated parallel genetic algorithm with parametric adaptation for distributed data analysis by Laila Al-Terkawi, Matteo Migliavacca

“…Abstract Unleashing the potential of large-scale data analysis requires advanced computational methods capable of managing the immense size and complexity of distributed data. Genetic algorithms (GAs), known for their adaptability, benefit significantly from parallelization, prompting ongoing enhancements to boost performance further. …”
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A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams by Youzhi Liu, Linshu Huang, Xu Xie, Huijuan Ye

“…The simulation results demonstrate that for sparse linear arrays, planar rectangular arrays, and multi-ring concentric circular arrays, the proposed algorithm achieves a sidelobe level (SLL) reduction exceeding 0.24 dB compared to conventional approaches, including the grey wolf optimizer (GWO), the whale optimization algorithm (WOA), and classical PSO. …”
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Early Warning of Financial Risk Based on K-Means Clustering Algorithm by Zhangyao Zhu, Na Liu

“…The study results show that the K-means clustering method can effectively avoid the subjective negative impact caused by artificial division thresholds, continuously optimize the prediction process of financial risk and redistribute target dataset to each cluster center for obtaining optimized solution, so the algorithm can more accurately and objectively distinguish the state interval of different financial risks, determine risk occurrence possibility and its severity, and provide a scientific basis for risk prevention and management. …”
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Direct methanol fuel cells parameter identification with enhanced algorithmic technique by Manish Kumar Singla, Muhammed Ali S.A, Ramesh Kumar, Hamed Zeinoddini-Meymand, Farhad Shahnia

“…A number of optimization techniques have been adopted: Particle Swarm Optimization (PSO), Dragonfly Algorithm (DA), Harris Hawk Optimizer (HHO), Rhinoceros Search Algorithm (RSA), Artificial Hummingbird Algorithm (AHA), and its enhanced version, Enhanced artificial hummingbird algorithm (EAHA). …”
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Artificial Intelligence Algorithm to Screen for Diabetic Neuropathy: A Pilot Study by Giovanni Sartore, Eugenio Ragazzi, Francesco Pegoraro, Mario German Pagno, Annunziata Lapolla, Francesco Piarulli

“…The individual risk of developing DPN was calculated using the AI-based MetaClinic Prediction Algorithm and compared with the DPN diagnosis provided by the digital biothesiometer method, which measures the vibratory perception threshold (VPT) on both feet. …”
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Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms by G. R. Ashisha, X. Anitha Mary, E. Grace Mary Kanaga, J. Andrew, R. Jennifer Eunice

“…The proposed approach considers ML algorithms such as random forest, gradient boosting models, light gradient boosting classifiers, and decision trees, as they are widely used classification algorithms for diabetes prediction. …”
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Implementation and Performance Evaluation of Quantum Machine Learning Algorithms for Binary Classification by Surajudeen Shina Ajibosin, Deniz Cetinkaya

“…In this work, we studied the use of Quantum Machine Learning (QML) algorithms for binary classification and compared their performance with classical Machine Learning (ML) methods. …”
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Improved sliding mode control for induction motor based on twisting algorithm by Hadda Benderradji, Samira Benaicha, Larbi Chrifi Alaoui

“…The comparison between the results of the two proposed methods shows that the second-order sliding mode control using the twisting algorithm not only guarantees the same robustness and dynamic performances of traditional first-order sliding mode control but also achieves the reduction of the chattering phenomenon.…”
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Lead Time for Cities of Northern India by Using Multiparameter EEW Algorithm by Rakhi Bhardwaj, Mukat Lal Sharma

“…Such larger estimated lead times to these densely populated cities show that EEW can successfully work as one of the important real-time earthquake disaster reduction measures in Northern India.…”
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Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm by Shun Cheng, Zhiqian Wang, Shaojin Liu, Yan Han, Pengtao Sun, Jianrong Li

“…The detection frame rate reaches 189 frames per second on the ROUD dataset, thus meeting the high accuracy requirements for underwater object detection algorithms and facilitating lightweight and fast edge deployment.…”
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Development of a Quantitative Assessment Algorithm for Operational Risks in Mining Engineering by Marina Nevskaya, Anna Shabalova, Liubov Nikolaichuk, Natalya Kirsanova

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Adaptive Radio Access Technology Selection Algorithm for Heterogeneous Wireless Networks by Folashade Olamide Ariba, Festus Kehinde Ojo, Zachaeus Adeyemo

“…The proposed algorithm resulted in the call blocking probability reduction by 0.03 for GERAN and 0.14 for UTRAN as validated with the existing algorithm based on load balancing, service-based and priority-based. …”
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Correlation Filtering Algorithm of Infrared Spectral Data for Dim Target Tracking by Wenjian Zheng, An Chang, Qi Wang, Jianing Shang, Mandi Cui

“…After the image noise reduction processing by the mean shift filtering algorithm, the infrared small and weak target image data model is constructed by using the denoised infrared small and weak target image. …”
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Segmentation of Stone Slab Cracks Based on an Improved YOLOv8 Algorithm by Qitao Tian, Runshu Peng, Fuzeng Wang

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Sectoring Approach for Performance Enhancement of MTT and Its Application on JPDA Algorithm by Mustafa Latif Cobankaya, Alaa B. Elrouby

“…Recent advancements in multi-target tracking (MTT) technologies and algorithms have led to improved accuracy and efficiency in tracking multiple objects in dynamic environments. …”
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Enhanced secure and efficient routing algorithm for optimal multimedia data transmission by Bhalia Mayur Natwarlal, Bavarva Arjav Ambaram

“…This study proposes the Enhanced Minimum Distance Secure Routing Algorithm (EMDSRA), designed to optimize energy efficiency, increase throughput, and enhance security in WMSNs. …”
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Homogenization of the Probability Distribution of Climatic Time Series: A Novel Algorithm by Peter Domonkos

“…This study presents a new algorithm which helps to increase homogenization accuracy in all temporal and spatial scales. …”
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Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

“…Therefore, this study presents an improved salp swarm algorithm-based Mobile Application Offloading Algorithm (ISSA-MAOA) technique for MEC. …”
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A deep learning-based algorithm for the detection of personal protective equipment. by Bo Tong, Guan Li, Xiangli Bu, Yang Wang, Xingchen Yu

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