Development of an algorithm for ethnicity recording in cohorts from the UK Clinical Practice Research Datalink primary care and linked Hospital Episode Statistics databases by Rachael Williams, Eleanor L Axson, Suhail I Shiekh

“…Changes were made to a previously used algorithm to assess their effect on ethnic categorisations. …”
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Emperor Yu Tames the Flood: Water Surface Garbage Cleaning Robot Using Improved A* Algorithm in Dynamic Environments by Ronghao Li, Bingying Zhang, Di Lin, Rong-Guei Tsai, Wenwen Zou, Shanna He, Ziqi Lin, Xinxin Chen, Yating Yao

“…We have validated the effectiveness of the DyNav algorithm through practical experiments. The results show that in dynamic environments, the robot can clean surface debris more quickly and flexibly while avoiding obstacles. …”
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Enhanced Reinforcement Learning Algorithm Based-Transmission Parameter Selection for Optimization of Energy Consumption and Packet Delivery Ratio in LoRa Wireless Networks by Batyrbek Zholamanov, Askhat Bolatbek, Ahmet Saymbetov, Madiyar Nurgaliyev, Evan Yershov, Kymbat Kopbay, Sayat Orynbassar, Gulbakhar Dosymbetova, Ainur Kapparova, Nurzhigit Kuttybay, Nursultan Koshkarbay

“…The proposed approach demonstrates the best performance, achieving a 17.2% increase in the packet delivery ratio compared to the traditional Adaptive Data Rate (ADR) algorithm. The proposed DDQN-PER algorithm showed PDR improvement in the range of 6.2–8.11% compared to other existing RL and machine-learning-based works.…”
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Development and Validation of a Neonatal Hypothermia Prediction Model for In-Hospital Transport Using Machine Learning Algorithms: A Single-Center Retrospective Study by Zhang W, Gu X, Gu C, Yao L, Zhang Y, Wang K

“…Six machine learning algorithms—Decision Tree (DT), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), Artificial Neural Network (ANN), and Naive Bayes (NB)—were used to develop predictive models. …”
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Random forest algorithm integrated with an initial basic feasible solution in buckling analysis of a two-dimensional functionally graded porous taper beam by Ravikiran Chinthalapudi, Jagadesh Kumar Jatavallabhula, Geetha Narayanan Kannaiyan, Bridjesh Pappula, Seshibe Makgato

“…To overcome these limitations, a hybrid analytical computational methodology is proposed that integrates the novel Initial Basic Feasible Solution approach with the Random Forest algorithm. The beam is modelled using hyperbolic shear deformation theory to account for transverse shear effects, while material properties vary along both the length and thickness following a power-law distribution. …”
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Optimization of nano-finned enclosure-shaped latent heat thermal energy storage units using CFD, RSM, and enhanced hill climbing algorithm by Tao Hai, Ihab Omar, As’ad Alizadeh, Neeraj Varshney, Saurav Dixit, Abbas J. Sultan, Ali E. Anqi, Sanjay Bhatnagar, Husam Rajab, Narinderjit Singh Sawaran Singh

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Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology by Hassan Bagheri, Reza Mohebian, Ali Moradzadeh, Behnia Azizzadeh Mehmandost Olya

“…So, all three feature selection algorithms introduced the number of 4 logs as the most optimal number of inputs to the DL algorithm with different combinations of logs for each of the three desired outputs. …”
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A Coherent Approach-Based Fine-Tuning of Segment Anything Model Plus Watershed Algorithm for Instance Segmentation of Mitochondria in Electron Microscopy Images by Zahra Faska, Lahbib Khrissi, Imadeddine Mountasser, Khalid Haddouch, Nabil El Akkad, Samah Alshathri, Walid El-Shafai

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Orthogonal Multi‐Swarm Greedy Selection Based Sine Cosine Algorithm for Optimal FACTS Placement in Uncertain Wind Integrated Scenario Based Power Systems by Sunilkumar P. Agrawal, Pradeep Jangir, Arpita, Sundaram B. Pandya, Anil Parmar, Mohammad Khishe, Bhargavi Indrajit Trivedi

“…Orthogonal learning explores new search spaces, while the multi‐swarm strategy improves exploitation. …”
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Comparative performance evaluation of economic load dispatch using metaheuristic techniques: A practical case study for Bangladesh by Sumaiya Janefar, Prangon Chowdhury, Rahbaar Yeassin, Mahmudul Hasan, Nahid-Ur-Rahman Chowdhury

“…PSO emerges as the most effective algorithm for minimizing costs and losses, while HS is suitable for time-sensitive applications. …”
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Advanced Adaptive Rule-Based Energy Management for Hybrid Energy Storage Systems (HESSs) to Enhance the Driving Range of Electric Vehicles by Chew Kuew Wai, Taha Sadeq, Lee Cheun Hau

“…This study proposes a new energy management strategy for the HESS, an advanced adaptive rule-based algorithm. The results of the standard rule-based and adaptive rule-based algorithms are used to verify the proposed control algorithm. …”
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Redirected walking method considering the interaction between users by Sho Ri, Keigo Matsumoto, Takuji Narumi, Hideaki Kuzuoka

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Control System Strategy for Ring Thrower Robot Based on PID-CSA for ABU Robocon 2023 by Aris Budiyarto, Ridwan Ridwan, Rizky Andhika Akbar

“…Thrower Robot need to maintain system stability in carrying out their tasks, which require accuracy and stability while throwing the ring in different zones and have different distances and height, so the thrower robot needs to maintain the stability of the system in order to reach target properly. …”
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Modular Coordination of Vehicle Routing and Bin Packing Problems in Last Mile Logistics by Nikica Perić, Anđelko Kolak, Vinko Lešić

“…Such a coordinated approach is applied to a frequently used public benchmark and proven to provide commensurate costs while significantly lowering algorithm complexity. …”
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Research on Dynamic Planning Method for Air–Ground Collaborative Last-Mile Delivery Considering Road Network Fragility by Wei Qi, Ang Li, Honghai Zhang

“…Furthermore, a dynamic model for selecting drone take-off and landing sites, as well as task planning, is developed with the dual objectives of minimizing delivery costs and time while maximizing demand coverage. An enhanced evolutionary algorithm is devised to address the model. …”
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Enhancing Injector Performance Through CFD Optimization: Focus on Cavitation Reduction by Jose Villagomez-Moreno, Aurelio Dominguez-Gonzalez, Carlos Gustavo Manriquez-Padilla, Juan Jose Saucedo-Dorantes, Angel Perez-Cruz

“…The integration of optimization algorithms further enhances these processes by facilitating studies on mechanical behavior and accelerating iterative operations. …”
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Masked face image segmentation using a multilevel threshold with a hybrid fitness function by Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza, Yousef S. Alsahafi, Khalid M. Hosny

“…EEFO is a bio-inspired metaheuristic algorithm that simulates how electric EEL forages in nature. …”
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Research on stochastic matrix mapping Hash for specific flow matching by TANG Hong, WU Yong-jun, ZHAO Guo-feng

“…Because a general Hash algorithm had high collision rate and was not controlled while be used to flow match-ing,a stochastic matrix mapping Hash algorithm was presented,in which the elements of a large set were mapped into a small set through a pre-choosing stochastic number matrix.Tests show that the algorithm has high operation speed,high storage utilization rate and low collision rate,its flow matching speed is up to 2 million packets per second and it supports 50000 matching rules.…”
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Waveform design and signal processing for terahertz integrated sensing and communication by Xianbin YU, Zhidong LYU, Lianyi LI, Muhammad Idrees Nazar, Lu ZHANG

“…Integrated sensing and communication (ISaC) in the terahertz band can efficiently reduce the consumption of hardware and spectrum resources, while improving the transmission data rate and sensing resolution.Firstly, the development status of ISaC, terahertz communication and sensing were briefly introduced.Then, the strategy of waveform design and optimization for ISaC and the receiving signal processing algorithms were presented.As an example, an OFDM ISaC system operating at 97 GHz was experientially demonstrate, and the performance of ranging, speed and communication were all evaluated in the experiment.Finally, the key issues and research directions of future terahertz ISaC development were discussed.…”
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Analysis of CFAR Detection of Partially-Correlated Ï2 Targets in the Presence of Interferers by Mohamed B. EL_Mashade

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