Research on a Conflict Early Warning System Based on the Active Safety Concept by Bozhao Shen, Zhiqing Zhang, Hao Liu, Shiyun Li, Lei Zhao

“…To verify the reliability of the proposed warning logic and algorithm, numerical simulations were carried out via CarSim/Simulink cosimulation. …”
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Review of Agricultural Machinery Seat Semi-Active Suspension Systems for Ride Comfort by Xiaoliang Chen, Zhelu Wang, Haoyou Shi, Nannan Jiang, Sixia Zhao, Yiqing Qiu, Qing Liu

“…Furthermore, key technical challenges in current research are summarized, including dynamic characteristic optimization design, adaptability to complex operating environments, and the robustness of control algorithms. …”
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Active Shielding of Power Frequency Magnetic Field in Buildings in the Vicinity of the Electric Airlines by Kuznetsov B.I., Nikitina T.B., Bovdui I.V.

“…The multicriterion game solution depends on the multiswarm particles optimization algorithms. The initial parameters for the synthesis of the active shielding system are the location of the high voltage power lines with respect to the protected from transmission line space, geometry and number of buses, operating currents, as well as the size of the protected space and magnetic field induction normative value. …”
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Risk Assessment of Fishing Trawl Activities to Subsea Pipelines of Sabah and Labuan Waters by Ahmad Faizal Ahmad Fuad, Mohd Hafizi Said, Khalid Samo, Mohd Asamudin A. Rahman, Mohd Hairil Mohd, Ismail Zainol

“…The frequency of a fish trawler crossing over the pipelines was calculated based interview on operation and site survey. The calculation of the pull-over load of the otter board was calculated using the DNVGL algorithm. …”
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Study of Synergetic Optimization Operation for Distribution Network Considering Multiple Reactive Power Output Modes of Photovoltaics and Different Port Numbers of Flexible Interco... by Yijin Li, Jibo Wang, Zihao Zhang, Wenhao Xu, Ming Wu, Geng Niu

“…To improve the flexibility and stability of system operation, a synergetic optimization operation method based on PV and a flexible interconnection device (FID) is proposed. …”
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Operational evaluation of the deployment of Malaria/CRP Duo and Dengue Duo rapid diagnostic tests for the management of febrile illness by village malaria workers in rural Cambodia by Marc T. Visser, Dysoley Lek, Bipin Adhikari, Arjun Chandna, Moul Vanna, Sam Ol, Voeurng Bunreth, Chan Davoeung, Yok Sovann, Dafne Umans, Yoel Lubell, Rusheng Chew, Richard J. Maude, Rob W. van der Pluijm, Rupam Tripura, Naomi Waithira, Siv Sovannaroth, Michèle van Vugt, Lorenz von Seidlein, Mavuto Mukaka, Arjen Dondorp, Thomas J. Peto, James J. Callery

“…The main objectives were to determine whether VMWs could perform these combo-RDTs correctly and follow management algorithms, and whether deployment had an impact on VMW consultation rates. …”
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Internal Model Control for a Light-Weight Active Noise-Reducing Casing by Krzysztof MAZUR, Marek PAWEŁCZYK

“…The active noise-reducing casing developed and promoted by the authors in recent publications have multiple advantages over other active noise control methods. …”
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A Phase Bias Compensation Method for Anti-Interference Antenna Arrays in RTK Positioning by Jiebin Zhang, Wenquan Feng, Hao Wang

“…Compared to the conventional minimum variance distortionless response (MVDR) algorithm, the proposed method features a simpler architecture and achieves phase compensation at a lower computational cost using the power inverse (PI) algorithm. …”
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Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study by Audêncio Victor, Francielly Almeida, Sancho Pedro Xavier, Patrícia H.C. Rondó

“…This study aimed to develop and evaluate predictive models for LBW using machine learning algorithms, including Random Forest, XGBoost, Catboost, and LightGBM. …”
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Application of machine learning algorithms in osteoporosis analysis based on cardiovascular health assessed by life’s essential 8: a cross-sectional study by Haolin Shi, Yangyi Fang, Xiuhua Ma

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Targeted Detection of 76 Carnitine Indicators Combined with a Machine Learning Algorithm Based on HPLC-MS/MS in the Diagnosis of Rheumatoid Arthritis by Rui Zhang, Juan Wang, Xiaonan Zhai, Yuanbing Guo, Lei Zhou, Xiaoyan Hao, Liu Yang, Ruiqing Xing, Juanjuan Hu, Jiawei Gao, Fengjuan Wang, Jun Yang, Jiayun Liu

“…The diagnostic model derived from the screened markers was validated using three machine learning algorithms. Results: The model was refined using eight candidate indicators (C0, C10:1, LYMPH, platelet distribution width, anti-keratin antibody, glucose, urobilinogen, and erythrocyte sedimentation rate (ESR)). …”
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HitShield: Enhanced Swap Eviction Scheme for Multi-Generational LRU by Minwoo Jo, Binwon Song, Hayong Jeong, Heeseung Jo

“…MGLRU is a variant of the LRU algorithm that improves upon the limitation of using previous memory access records in traditional inactive and active lists. …”
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APPLICATION OF MODELS OF INFORMATION AND ANALYTICAL SUPPORT SYSTEMS FIRE FIGHTING RESCUE UNITS by O. I. Stepanov, S. A. Khudyakova

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Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction. by Niyonzima, Ivan, Muhaise, Hussein, Akankwasa, Aureri

“…In the developing world, the daily activities of humans’ social, political and economic life make it vital and easy to encounter the phenomenon of crime. …”
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Landslides in the Himalayas: The Role of Conditioning Factors and Their Resolution in Susceptibility Mapping by Lalit Pathak, Badri Baral, Kamana Joshi, Dipak Raj Basnet, Danilo Godone

“…Resolution selection was guided by Receiver Operating Characteristic (ROC) curve and Area Under the Curve (AUC) analyses. …”
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Processor-in-the-Loop validation of direct power control based on fractional-order modified super-twisting algorithm for doubly-fed induction generators by Mourad Yessef, Habib Benbouhenni, Ahmed Lagrioui, Nicu Bizon, Badre Bossoufi, Saad F. Al-Gahtani, Z. M. S. Elbarbary

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Short-term solar irradiance forecasting model based on hyper-parameter tuned LSTM via chaotic particle swarm optimization algorithm by V Ashok Gajapati Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, Manohar Mishra

“…The outcome of this experimental study is ensured by comparing its results with standard LSTM architecture, other optimization algorithms such as FA and PSO, and conventional approaches. …”
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Enhancing Solid Oxide Fuel Cell Efficiency Through Advanced Model Identification Using Differential Evolutionary Mutation Fennec Fox Algorithm by Manish Kumar Singla, Jyoti Gupta, Ramesh Kumar, Pradeep Jangir, Mohamed Louzazni, Nimay Chandra Giri, Ahmed Jamal Abdullah Al-Gburi, E. I.-Sayed M. EI-Kenawy, Amal H. Alharbi

“…An ideal model should be adaptable to varying operating pressures and temperatures. This research introduces a novel approach for optimal SOFC model identification using a differential evolutionary mutation Fennec fox algorithm (DEMFFA). …”
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Research on Active Anti-collision Method of Unmanned Mine Truck Based on Predicted Trajectory by LI Cheng, ZHANG Qian, WANG Bin

“…Finally, the unmanned mine truck performs cascade braking (ie multi-stage partial braking and full braking) according to the AEBS (advanced emergency braking system) control algorithm. Simulation results show that when there is no expected trajectory, mine truck can realize active braking in time, which ensures the safe operation of the vehicle.…”
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A Cooperative Generation Expansion Planning of Microgrids to Improve the Resiliency of Active Distribution Networks by Mohammad Hossein Atazadegan, Esmaeel Rokrok, Meysam Doostizadeh

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