Optimization of the Mechanical Property of Friction Stir Welded Heat Treatable Aluminum Alloy by using Bio-Inspired Artificial Intelligence Algorithms by Akshansh Mishra, Anish Dasgupta

“…The results showed that the Differential Evolution algorithm resulted in a slightly higher value of the Ultimate Tensile Strength in comparison to the Max LIPO algorithm. …”
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Magnetic resonance imaging measurement of the femoral antetorsional angle: Comparison with computer tomography and clinical application in a diagnostic algorithm by Ewa Tramś, Maciej Liszka, Krzysztof Kuliński, Kamila Malesa, Marcin Tyrakowski, Jerzy Białecki, Rafał Kamiński

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Comparative Diagnostic Efficacy of HeartLogic and TriageHF Algorithms in Remote Monitoring of Heart Failure: A Cohort Study by David Ledesma Oloriz, Daniel García Iglesias, Rodrigo Ariel di Massa Pezzutti, Fernando López Iglesias, José Manuel Rubín López

“…Until now, no other trial has evaluated both algorithms in a head-to-head comparison. …”
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Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

“…First, based on the working parameters of the group network radar and the information fusion rules, the cooperative jamming effectiveness evaluation function is established. On this basis, the cooperative jamming decision schemes and their corresponding cooperative jamming effectiveness values are solved at different locations in the target space, and the results are detected as outliers using box plots, thus constructing sample data for cooperative jamming effectiveness evaluation. …”
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An artificial intelligence algorithm for the detection of pulmonary ground-glass nodules on spectral detector CT: performance on virtual monochromatic images by Zhong-Yan Ma, Hai-lin Zhang, Fa-jin Lv, Wei Zhao, Dan Han, Li-chang Lei, Qin Song, Wei-wei Jing, Hui Duan, Shao-Lei Kang

“…Abstract Background This study aims to assess the performance of an established an AI algorithm trained on conventional polychromatic computed tomography (CT) images (CPIs) to detect pulmonary ground-glass nodules (GGNs) on virtual monochromatic images (VMIs), and to screen the optimal virtual monochromatic energy for the clinical evaluation of GGNs. …”
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Advanced music classification using a combination of capsule neural network by upgraded ideal gas molecular movement algorithm by Peiyan Chen, Jichi Zhang, Arsam Mashhadi

“…To address this issue, this research proposes a novel methodology that combines CapsNet with an upgraded version of the Ideal Gas Molecular Movement (UIGMM) optimization algorithm. By utilizing the UIGMM algorithm, the parameters of the CapsNet model can be fine-tuned, thereby enhancing its ability to accurately recognize and classify different music genres. …”
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Evaluation of Human Action Based on Feature-Weighted Dynamic Time Warping by Mingdie Yan, Xia Liu, Zhaoyang Li, Naiyu Guo

“…Based on similarity scores, the difference between the actions of healthy people and patients and the template actions is more than 80%, which shows that the method can evaluate action quality in people with different health conditions and effectively reduce error in action evaluation. …”
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Support Vector Regression-Based Adaptive Divided Difference Filter for Nonlinear State Estimation Problems by Hongjian Wang, Jinlong Xu, Aihua Zhang, Cun Li, Hongfei Yao

“…The derivative-free SVRADDF algorithm is significantly simpler to compute than other methods and is implemented using only functional evaluations. …”
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Using Artificial intelligence to evaluate skill performance of some karate skills by Hayder Nazar Jawoosh, Dr.Abeer Dakhil, dr. Muhammed Asim Muhammed, dr. Mazin Hadi Gizar

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Creating a Newer and Improved Procedural Content Generation (PCG) Algorithm with Minimal Human Intervention for Computer Gaming Development by Lazaros Lazaridis, George F. Fragulis

“…Unlike traditional methods that rely solely on agent-based evaluations, this constructive algorithm emphasizes reduced processing power, making it suitable for generating small worlds in real time, particularly during loading screens. …”
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Research on Autonomous Obstacle Avoidance Algorithm for Complex Environment of Unmanned Aerial Vehicle Based on Multi-source Sensor Fusion by Fan Li

“…Secondly, the application examples of different fusion level algorithms in UAV obstacle avoidance are analyzed, such as the data layer and feature layer fusion practice of Dashuai Wang’s team, the improvement of Bayesian algorithm to achieve multi-level fusion of Honglei Zhang’s team, etc., and a variety of innovative obstacle avoidance algorithms are also introduced. …”
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Chess Position Evaluation Using Radial Basis Function Neural Networks by Dimitrios Kagkas, Despina Karamichailidou, Alex Alexandridis

“…The proposed approach introduces models based on the radial basis function (RBF) neural network architecture trained with the fuzzy means algorithm, in conjunction with a novel set of input features; different methods of network training are also examined and compared, involving the multilayer perceptron (MLP) and convolutional neural network (CNN) architectures and a different set of input features. …”
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Nurse Scheduling with Joint Normalized Shift and Day-Off Preference Satisfaction Using a Genetic Algorithm with Immigrant Scheme by Chun-Cheng Lin, Jia-Rong Kang, Ding-Jung Chiang, Chien-Liang Chen

“…Performance of the proposed GA with and without solution recovery scheme is evaluated by conducting a comprehensive experimental analysis on three different-size instances.…”
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Costs of Care for Neonates with Hypoxic-Ischemic Encephalopathy Treated with Therapeutic Hypothermia and Validation of the Canadian Neonatal Network Costing Algorithm by Elias Jabbour, MSc, Pia Wintermark, MD, PhD, Wijdan Basfar, MD, Sharina Patel, MD, MSc, Petros Pechlivanoglou, PhD, Prakesh Shah, MD, MSc, Marc Beltempo, MD, MSc, Prakesh S. Shah, MD, MSc, Marc Beltempo, MD, Jaideep Kanungo, MD, Joseph Ting, MD, Zenon Cieslak, MD, Rebecca Sherlock, MD, Ayman Abou Mehrem, MD, Jennifer Toye, MD, Khalid Aziz, MBBS, Carlos Fajardo, MD, Jaya Bodani, MD, Lannae Strueby, MD, Mary Seshia, MBChB, Deepak Louis, MD, Ruben Alvaro, MD, Amit Mukerji, MD, Orlando Da Silva, MD, MSc, Sajit Augustine, MD, Kyong-Soon Lee, MD, MSc, Eugene Ng, MD, Brigitte Lemyre, MD, Thierry Daboval, MD, Faiza Khurshid, MD, Victoria Bizgu, MD, Keith Barrington, MBChB, Anie Lapointe, MD, Guillaume Ethier, NNP, Christine Drolet, MD, Bruno Piedboeuf, MD, Martine Claveau, MSc, LLM, NNP, Marie St-Hilaire, MD, Valerie Bertelle, MD, Edith Masse, MD, Roderick Canning, MD, Hala Makary, MD, Cecil Ojah, MBBS, Luis Monterrosa, MD, Julie Emberley, MD, Jehier Afifi, MB, BCh, MSc, Andrzej Kajetanowicz, MD, Shoo K. Lee, MBBS, PhD

“…Validated cost estimates are required to better evaluate the cost-effectiveness of additional interventions during TH. …”
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StationNet: An Algorithm for the Extraction and Visualization of Top-n Correlated Bike Stations in Bike Sharing Systems Big Datasets by Ahmet Şakir Dokuz

“…The proposed algorithm and visualization technique are evaluated using one year BSS big dataset. …”
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Auto-Tuning Memory-Based Adaptive Local Search Gaining–Sharing Knowledge-Based Algorithm for Solving Optimization Problems by Nawaf Mijbel Alfadli, Eman Mostafa Oun, Ali Wagdy Mohamed

“…To validate the effectiveness of the ATMALS-GSK algorithm, it is evaluated on the CEC 2011 and CEC 2017 benchmarks. …”
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WASPAS-based multi-expert decision algorithm for physical education using circular pythagorean fuzzy aggregation with prioritized weights by Dawei Lyu, Xiaoxue Zhang

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A quasi oppositional forensic based investigation algorithm for optimizing distributed generation placement and sizing in power distribution systems by Binaya Kumar Malika, Vivekananda Pattanaik, Subhasis Panda, Binod Kumar Sahu, Pravat Kumar Rout, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak

“…The results demonstrate the superiority of the proposed approach in terms of faster convergence, reduced complexity, and improved performance compared to existing optimization methods. The QOFBI algorithm achieves a 94.44% reduction in active power loss, highlighting its robust performance across different operational scenarios. …”
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Optimal intrusion detection for imbalanced data using Bagging method with deep neural network optimized by flower pollination algorithm by Hussein Ridha Sayegh, Wang Dong, Bahaa Hussein Taher, Muhanad Mohammed Kadum, Ali Mansour Al-madani

“…The performance of our IDS is evaluated using four commonly utilized public datasets, NSL-KDD, UNSW NB-15, CIC-IDS-2017, and BoT-IoT, in terms of different metrics, i.e., accuracy, precision, recall, and F1-score. …”
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Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms by Mehmet Eroğlu, Ali Osman Turgut, Mürsel Küçük, Muhammed Furkan Önen

“…Objective This study aimed to investigate the performance of different machine learning algorithms in predicting weaning weight based on biometric measurements of Romanov lambs at 30 days of age. …”
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