The Application of Kalman Filter Algorithm in Rail Transit Signal Safety Detection by Zhinong Miao, Qilong Liao

“…The outcomes reveal that the raised improved Kalman filtering has a high similarity between the denoised and the true signal, and a low root mean square error of 0.009. The improved Kalman filter algorithm also has a high signal-to-noise ratio of 2.086dB, a signal-to-noise ratio of 26dB, a reference signal received power of −61dBm, a handover success rate of 99.98%, and a handover delay of 97ms. …”
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Interference Suppression for VLC System Based on Optimized Channel Detection Algorithm by Liwei Yang, Ziyang Jin, Jiangtao Zhao, Yue Zhang, Xinyu Li, Boyu Jia

“…Compared to conventional detection algorithms such as Minimum Mean Square Error (MMSE), Block Diagonalization (BD), and standard THP, the proposed method improves BER performance by up to one order of magnitude and enhances the WSR by 15%–25% in multi-user scenarios. …”
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Algorithm for cavo-tricuspid isthmus flutter on surface ECGs: the ACTIONS study by Daniel R Frisch, Eitan Frankel, Deanna Gill, Jad Al Danaf

“…The experimental group received a cover sheet with the CTI algorithm, and the control group received no additional guidance.Results There was a statistically significant difference in the mean number of correctly identified ECGs among the students in the experimental and control groups (8.12 vs 5.68, p<0.001). …”
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Machine Learning Algorithms for Nondestructive Sensing of Moisture Content in Grain and Seed by Arthur P. LeBlanc, Samir Trabelsi, Khaled Rasheed, John A. Miller

“…Performance of this model is investigated and compared with models trained on an individual grain or seed by using different algorithms, including artificial neural network (NN), support vector regression (SVR), ElasticNet, among other algorithms. …”
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An Improved Shuffled Frog Leaping Algorithm for Electrical Resistivity Tomography Inversion by Fuyu Jiang, Likun Gao, Run Han, Minghui Dai, Haijun Chen, Jiong Ni, Yao Lei, Xiaoyu Xu, Sheng Zhang

“…Additionally, the root mean square error is reduced by 57%. In the engineering validation at the Baota Mountain mining area in Jurong, the improved SFLA inversion clearly reveals the undulating bedrock morphology. …”
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Novel three‐dimensional ECG algorithm for reliable screening for cardiac amyloidosis by Amir A. Mahabadi, Jan Knobeloch, Viktoria Backmann, Lars Michel, Markus S. Anker, Reza Wakili, Christian Fach, Stefan D. Anker, Tienush Rassaf

“…Overall, 99 patients with amyloidosis and 156 controls were included (mean age: 69 ± 15 years, 79% male). In the derivation cohort, the AI algorithm reached a sensitivity of 85%, a specificity of 89%, a positive predictive value of 91%, and a negative predictive value of 87%. …”
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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…Data arrival rate, resource consumption, propagation delay, transaction epoch, true positive rate, false alarm rate, and root mean square error (RMSE) are some metrics used to evaluate the proposed task.…”
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Fruit size prediction of tomato cultivars using machine learning algorithms by Masaaki Takahashi, Yasushi Kawasaki, Hiroki Naito, Hiroki Naito, Unseok Lee, Koichi Yoshi

“…We aimed to develop a method for early prediction of tomato fruit size at harvest with machine learning algorithm, and three machine learning models (Ridge Regression, Extra Tree Regrreion, CatBoost Regression) were compared using the PyCaret package for Python. …”
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Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance by Vipan Kusla, Gurbinder Singh Brar, Harpreet Kaur, Ramandeep Sandhu, Chander Prabha, Md. Mehedi Hassan, Shahab Abdulla, Md Rittique Alam, Samah Alshathri, Walid El-Shafai

“…The proposed modified Chameleon Swarm Algorithm using Morlet wavelet mutation and Lévy flight (mCSAMWL) is superior to existing algorithms for both unimodal and multimodal functions, as demonstrated by Friedman’s mean rank test as well as three real world engineering design problems. …”
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Flow simulation algorithm for gas gathering pipelines of natural gas fields by Yuling LYU, Zhenhe JIANG, Xiaowei LI, Jiakai SHI, Huaping CAO

“…ResultsThe mean relative error (MRE) of the pressure difference calculated by this algorithm was 0.101, compared to 0.267 for OLGA software. …”
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Efficacy of a new treatment algorithm for capsulitis of the fingers in rock climbers by Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Christoph Lutter, Christoph Lutter, Hans-Christoph Lang, Mario Perl, Othmar Moser, Michael Simon

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Agent-Based Adaptive Dynamic Round Robin (AADRR) Scheduling Algorithm by Zafar Iqbal Khan, Muzafar Khan, Syed Nasir Mehmood Shah

“…To validate the effectiveness of the AADRR algorithm, we performed a comparative performance analysis with twelve other algorithms, including five traditional CPU scheduling algorithms and seven advanced job scheduling techniques, demonstrating optimal performance results. …”
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Normalized Intrinsic Deep Features Based Zero-Watermarking Scheme for Remote Sensing Images Using U-Net and K-Means by Jie Zhang, Xu Xi, Jinglong Du, Xin He, Mingkang Wu, Yi Wei

“…To address the issue, a novel zero-watermarking algorithm based on U-Net and K-means is proposed. The algorithm employs a neural network to extract intrinsic deep features from remote sensing images to construct zero-watermarks, thereby enhancing the algorithm’s security while ensuring adaptability to different types of remote sensing images. …”
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Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model by Junxi Zhang, Shiru Qu, Yang Bi, Lijing Ma

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TREATMENT FOR ACUTE/SUBACUTE MUSCULOSKELETAL PAIN, BY USING AN ALGORITHM FOR STEPWISE CHOICE OF ANALGESIC DRUGS AND FOR MONITORING THEIR EFFICACY: PRELIMINARY DATA OF THE ANALGESIC... by N. V. Gontarenko, A. V. Tsurgan, A. E. Karateev

“…A meeting of experts was held inMoscowin June 2015 to discuss the possibility of forming an interdisciplinary approach and elaborating a unified MSP treatment algorithm based on the com prehensive pathogenetically justified use of different classes of medicines. …”
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Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…This transformation process involves multiplying the weights obtained from the Fuzzy C-Means estimation with the mid-point values of each cluster.The optimization process is performed using the DE algorithm. …”
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GPR Diffraction Separation by Incorporating Multilevel Wavelet Transform and Multiple Singular Spectrum Analysis by Haolin Wang, Honghua Wang, Zhiyang Hou, Fei Zhou

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Evaluation method for gas pre-extraction status in coal seam boreholes based on semi-supervised learning by YAN Li, WEN Hu, WANG Zhenping, JIN Yongfei

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Automatic Detection of Urban Trees from LiDAR Data Using DBSCAN and Mean Shift Clustering Methods in Fatih, Istanbul by Z. Cetin, N. Yastikli

“…Noise points, which did not correspond to urban trees within the high vegetation class, were removed using the machine learning-based Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm. The remaining high vegetation points were subsequently segmented using the machine learning-based Mean Shift clustering algorithm to obtain individual tree crowns. …”
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A Heuristic Approach to Competitive Facility Location via Multi-View K-Means Clustering with Co-Regularization and Customer Behavior by Thanathorn Phoka, Praeploy Poonprapan, Pornpimon Boriwan

“…This study presents a novel heuristic framework that integrates multi-view K-means clustering with customer behavior modeling reinforced by a co-regularization mechanism to align clustering results across heterogeneous data views. …”
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