Deep learning algorithm reveals probabilities of stage‐specific time to conversion in individuals with neurodegenerative disease LATE by Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng

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Transforming Precision Agriculture with Quantum Computing: A Novel Algorithm for Boosting Crop Yields and Optimizing Resources by Mukherjee Anshit, Basu Mallik Biswadip

“…The algorithm makes use of qubits to allow the real time data processing through IoT sensors to allow for real time monitoring and decision making. …”
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Energy-efficient joint performance optimization of cloud data centre users/operator using memetic algorithm by Pejman Goudarzi, Farima Ayatollahi, Jaime Lloret

“…The use of cloud computing as a cost-effective and flexible method has currently drawn the attention of cloud service providers. …”
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Time-varying MVAR algorithms for directed connectivity analysis: Critical comparison in simulations and benchmark EEG data. by Mattia F Pagnotta, Gijs Plomp

“…While several tvMVAR approaches are currently available, there is a lack of unbiased systematic comparative analyses of their performance and of their sensitivity to parameter choices. …”
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A novel pixel antenna by using a genetic algorithm for Wi-Fi 6E applications by Kayhan Çelik, Bekir Dursun, Javed Iqbal

“…It is a novel pixel patch antenna optimized by a metaheuristic optimization algorithm for Wi-Fi 6E applications. The shape of the radiating patch is determined using genetics, which is a basic algorithm based on population to achieve wideband operation. …”
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Longitudinal Follow-up of Chronic Pulmonary Manifestations in Esophageal Atresia: A Clinical Algorithm and Review of the Literature by Virginia Mirra, Marco Maglione, Laida L. Di Micco, Silvia Montella, Francesca Santamaria

“…We also present a novel algorithm for the evaluation and surveillance of lung disease in EA. …”
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A Water Quality Prediction Model Based on Long Short-Term Memory Networks and Optimization Algorithms by Aihua Yu, Qingjie Xiao

“…Currently, the water environment is complicated, and the water quality factors are non-linear and non-stationary, so the accuracy of traditional water quality prediction model is restricted. …”
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High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms by Gabriela Nunes Lopes, Pedro I. N. Barbalho, Jose Carlos Melo Vieira, Denis V. Coury

“…Subsequently, these algorithms are evaluated and compared based on their error rates in locating HIFs. …”
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Energy consumption reduction method for green buildings based on human thermal discomfort posture recognition algorithm by Shijiu Song, Li Zhou

“…How to create comfortable spaces with energy-saving goals is currently the focus of research. The aim of this study is to improve the accuracy of human thermal discomfort pose recognition algorithms. …”
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Development and validation of a semi-automated algorithm to analyze shear wave elastography clips in muscle tissue by Andreas Haueise, Gabriela F. Carvalho, Mehrin Azan, Dominic Gehring, Katrin Skerl, Angela V. Dieterich

“…Results demonstrated excellent correlation between manual and algorithm measurements, Spearman’s ρ > 0.99, p < 0.001. …”
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Research on Enhanced Belief Propagation List Decoding Algorithm for Polar Codes in UAV Communications for 6G by Chuanji Zhu, Yuanzhi He, Zheng Dou

“…Constructing reliable polar decoding schemes is currently a research hotspot in the field of communications. …”
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Algorithm-Based Real-Time Analysis of Training Phases in Competitive Canoeing: An Automated Approach for Performance Monitoring by Sergio Amat, Sonia Busquier, Carlos D. Gómez-Carmona, Manuel Gómez-López, José Pino-Ortega

“…Our aim is to automate the analysis task that is currently performed manually by providing an algorithm that the coaches can understand, using very basic mathematical tools, and that saves time for them.…”
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An Efficient Large-Scale 3D Map Stitching Algorithm Using Automatic Overlapping Area Identification by Hsien-I Lin, Muhammad Ahsan Fatwaddin Shodiq, An-Kai Jeng, Chun-Wei Chang

“…In such situations, constructing a 3D map can be accomplished by dividing it into smaller regions and then merging them to generate a complete map by performing a 3D map stitching algorithm. Currently, these overlapping areas are manually selected, which leads to potential errors. …”
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Developing a near-infrared spectroscopy calibration algorithm for soil organic carbon content in South Africa by Willie Herman Cloete, Gerhard du Preez, George Munnik Van Zijl

“…Near-infrared (NIR) spectroscopy has emerged as an easy, rapid and cost-effective alternative for soil organic carbon (SOC) analysis and the accounting of carbon credits. South Africa currently lacks a calibration algorithm for predicting SOC content from NIR spectroscopy. …”
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A Novel Depth-First Search Algorithm for Partial Periodic-Frequent Pattern Mining in Temporal Databases by Pamalla Veena, Vanitha Kattumuri, Yutaka Watanobe, Rage Uday Kiran, So Nakamura, Palla Likhitha, Koji Zettsu

“…Despite its potential, the broader industrial adoption of this technique has been limited due to two significant challenges. First, there is currently no algorithm capable of efficiently identifying the required patterns in columnar temporal databases, which are increasingly prevalent in real-world applications. …”
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Influencing factors of occupational injury in construction workers of European Union based on Boruta algorithm and logistic regression by Zhian LI, Lin ZHANG, Peng ZHANG, Xiaojun ZHU

“…BackgroundConstruction workers represent a high risk group for occupational injuries. Currently, domestic and international studies examining the factors affecting occupational injuries among construction workers focus on demographic and behavioural characteristics. …”
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Empowering Retail Through Advanced Consumer Product Recognition Using Aquila Optimization Algorithm With Deep Learning by Mohammed Alghamdi, Hanan Abdullah Mengash, Mohammed Aljebreen, Mohammed Maray, Abdulbasit A. Darem, Ahmed S. Salama

“…Therefore, this study presents Advanced Consumer Product Recognition using the Aquila Optimization Algorithm with Deep Learning (ACPR-AOADL) technique. …”
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UWB localization of unmanned monorail crane with dual tags based on UKF weighted C-T fusion algorithm by Yuhan LYU, Muye ZHANG, Jiusheng BAO, Yang YANG, Jianjian YANG, Maosen WANG

“…Monorail cranes are crucial auxiliary transportation equipment in underground coal mines, currently advancing towards intelligent and unmanned operation. …”
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A comprehensive review of rice mapping from satellite data: Algorithms, product characteristics and consistency assessment by Husheng Fang, Shunlin Liang, Yongzhe Chen, Han Ma, Wenyuan Li, Tao He, Feng Tian, Fengjiao Zhang

“…Due to these challenges, currently it still lacks paddy rice maps with both large spatial coverage, high spatial resolution, and long time series. …”
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Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed by Boyi Tang, Jingping Zhou, Chunjiang Zhao, Yuchun Pan, Yao Lu, Chang Liu, Kai Ma, Xuguang Sun, Ruifang Zhang, Xiaohe Gu

“…Accurate recognition of maize seedlings on the plot scale under the disturbance of weeds is crucial for early seedling replenishment and weed removal. Currently, UAV-based maize seedling recognition depends primarily on RGB images. …”
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