Implementation of the healthy heart tool- an algorithm with potential cardiometabolic health benefits in persons with severe mental illness by Elisabeth Haug Lund-Stenvold, Petter A. Ringen, Ole A. Andreassen, Torfinn L. Gaarden, Cecilie B. Hartberg, Erik Johnsen, Silje Myklatun, Kåre Osnes, Kjetil Sørensen, Arne Vaaler, Serena Tonstad, John A. Engh, Anne Høye

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Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

“…Materials and methods: Genetic optimization algorithm (GA) was used to search for optimal quality monitoring network. …”
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An Efficient Path Planning Algorithm Based on Delaunay Triangular NavMesh for Off-Road Vehicle Navigation by Ting Tian, Huijing Wu, Haitao Wei, Fang Wu, Jiandong Shang

“…Research results indicate that the proposed algorithms yield optimal path-planning results in terms of both time and distance. …”
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Research on the combination of algorithms and mixed reality for the localization of perforator vessels in anterolateral thigh and free fibula flaps by Yixiu Liu, Yixiu Liu, Jian Wu, Lian Zhou, Xi Tang, Shuangjiang Wu, Shuangjiang Wu, Ping Ji

“…PurposeThis study aims to develop a system that integrates algorithms with mixed reality technology to accurately position perforating vessels during the harvesting of anterolateral thigh and free fibular flaps. …”
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Investigation on Three-Hump Phosphor-Coated White Light-Emitting Diodes for Healthy Lighting by Genetic Algorithm by Ziquan Guo, Kai Liu, Lili Zheng, Tien-mo Shih, Yijun Lu, Tingzhu Wu, Yi Lin, Yuxue Zhang, Jianghui Zheng, Jie Chen, Lianxin Chen, Zhong Chen

“…In addition, we also compare four types of three-hump white LEDs in performances of circadian action, luminous efficacy of radiation (LER), and color rendering. This paper can help both industry and academia understand the application of three-hump white LEDs in the healthy indoor or outdoor lighting.…”
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Hyperspectral Estimation of Chlorophyll Content in Ginseng Fruit Leaves Based on Wavelet Transform and VCPA-GA Algorithm by Guo Jinfeng, Zhang Zhicong, Umut Hasan, Zhou Zhongye, Xu Wenyu, Yusup Ahmat

“…Leaf Chlorophyll Content (LCC) is vital for both direct and indirect plant growth and development. …”
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Real-time Detection Algorithm of Expanded Feed Image on the Water Surface Based on Improved YOLOv11 by ZHOU Xiushan, WEN Luting, JIE Baifei, ZHENG Haifeng, WU Qiqi, LI Kene, LIANG Junneng, LI Yijian, WEN Jiayan, JIANG Linyuan

“…[Methods]The YOLOv11-AP2S model enhanced the YOLOv11 algorithm by incorporating a series of improvements to its backbone network, neck, and head components. …”
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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

“…In the first step, a random forest algorithm was employed to assess the predictive power of the seven working capital management indicators in classifying companies as distressed or healthy. …”
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Identifying determinants of malnutrition in under-five children in Bangladesh: insights from the BDHS-2022 cross-sectional study by Tanzila Tamanna, Shohel Mahmud, Nahid Salma, Md. Musharraf Hossain, Md. Rezaul Karim

“…The study examined a cohort of 7,910 children, reporting prevalence rates of 19% for stunting, 8% for wasting, and 17% for underweight. The Boruta algorithm identified 18 confirmed features for stunting, 22 for wasting, and 19 for underweight. …”
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Fast Backpropagation Neural Network for VQ-Image Compression by Basil Mahmood, Omaima AL-Allaf

“…This system is used for both compression/decompression  of any image. The fast backpropagation (FBP) neural network algorithm was used for  training  the designed BPNN. …”
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A recurrent neural network and parallel hidden Markov model algorithm to segment and detect heart murmurs in phonocardiograms. by Andrew McDonald, Mark J F Gales, Anurag Agarwal

“…We propose a novel recurrent neural network and hidden semi-Markov model (HSMM) algorithm that can both segment the signal and detect a heart murmur, removing the need for a two-stage algorithm. …”
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SARS-CoV-2 Prediction Strategy Based on Classification Algorithms from a Full Blood Examination by C. F. Choukhan, I. Lasri, R. El Hatimi, M. R. Lemnaouar, M. Esghir

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CO2 Emission-Constrained Short-Term Unit Commitment Problem Using Shuffled Frog Leaping Algorithm by K. Selvakumar, D. Selvabharathi, R. Palanisamy, T. M. Thamizh Thentral

“…This paper proposes an integer-coded shuffled frog-leaping algorithm (SFLA) to minimize both total CO2 emissions and operating costs for the unit commitment problem (UCP) over a one-day scheduling period. …”
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Public Sentiment Analysis on the Boycott Israel Movement on Platform X Using Random Forest and Logistic Regression Algorithms by Rachmayanti Tri Agustin, Yana Cahyana, Kiki Ahmad Baihaqi, Tatang Rohana

“…Sentiment labeling was conducted both manually, categorizing the data into positive, negative, and neutral classes. …”
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Multiple Time-Varying Formation of Networked Heterogeneous Robotic Systems via Estimator-Based Hierarchical Cooperative Algorithms by Ming-Feng Ge, Chang-Duo Liang, Xi-Sheng Zhan, Chao-Yang Chen, Guanghui Xu, Jie Chen

“…Several novel estimator-based hierarchical cooperative (EBHC) algorithms are designed to achieve both the tracking task and the possible preset subtasks for redundant robots. …”
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AVOA and ALO Algorithm for Energy-Efficient No-Idle Permutation Flow Shop Scheduling Problem: A Comparison Study by Yolanda Mega Risma, Dana Marsetiya Utama

“…Statistical analysis, in the form of independent sample t-tests, was employed to compare the performance of these algorithms. We found that, while both algorithms yielded similar results in the small case, AVOA demonstrated a superior capability in optimizing the NIPFSP in the medium and large cases and, consequently, in curbing energy consumption. …”
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Power Coordination Strategy for Hybrid Energy Storage in AC/DC Microgrids Based on Virtual Impedance-Fuzzy Algorithm by ZHAO Yongxi, GAO Pengchao, FAN Hong

“…A hybrid energy storage system consisting of batteries and supercapacitors can be integrated into the microgrid, to mitigate the power fluctuations on both sides of the source and load sides, which is a common issue in AC/DC hybrid microgrids. …”
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Exploiting the Regularized Greedy Forest Algorithm Through Active Learning for Predicting Student Grades: A Case Study by Maria Tsiakmaki, Georgios Kostopoulos, Sotiris Kotsiantis

“…Active learning is a powerful paradigm that utilizes both labeled and unlabeled data, while RGF serves as an effective decision forest learning algorithm acting as the base learner. …”
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A rapid algorithm for millimeter-wave near-field three-dimensional image reconstruction based on FiNUFFT by Letian Zeng, Sheng Zhang, Yuanyuan Huai, Qi Mao, Jingzhao Li, Zhaohui Luo, Yunhuai Zou

“…The interpolation operation is both time-consuming and introduces interpolation errors, which considerably degrade both accuracy of the imaging and the efficiency of the computing. …”
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Comparative Model Efficiency Analysis Based on Dissimilar Algorithms for Image Learning and Correction as a Means of Fault-Finding by Joe Benganga, Tshepo Kukuni, Ben Kotze, Lepekola Lenkoe

“…The results demonstrate that VGG16 performed better in terms of data accuracy than both the testing and training models, while the Resnet_50 algorithm performed poorly in terms of the loss encountered compared to the other three algorithms.…”
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