Assessment of sensor driven automatic smart soil and paddy seed metering mechanisms using artificial intelligence for paddy nurseries by Vinod Choudhary, Rajendra Machavaram, Prakhar Patidar, Gajendra Singh, Naseeb Singh, Lokesh Kumawat

“…The ANN-MOGA (multi-objective genetic algorithms) predicted higher experimental response values compared to the response surface methodology. …”
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LazyAct: Lazy actor with dynamic state skip based on constrained MDP. by Hongjie Zhang, Zhenyu Chen, Hourui Deng, Chaosheng Feng

“…Extensive experimental results indicate that LazyAct reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the LazyAct algorithm to complete tasks. …”
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LIFO-STACK SIZE DETERMINATION FOR GROWING OF THE IMAGE REGIONS by V. Yu. Tsviatkou

“…Using the proposed expression to calculate the required capacity of the LIFO-stack under conditions of its maximum load in the image segmentation algorithm based on growing regions provides a 2-fold reduction in the number of LIFO-stack memory cells.…”
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A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles by Ming He, Fangxin Liu, Zhuang Miao, Huan Zhou, Qiuli Chen

“…Limited energy, high mobility, and unsteady acoustic communication links render the underwater acoustic sensor networks subject to performance reduction. To solve this problem, a topology optimization method, also called TO-A algorithm, is developed based on topology reconfiguration. …”
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Automatic Liver segmentation Using Vector Field Convolution and Artificial Neural Network in MRI Images by Hassan Masoumi, Ahad Salimi, Hamidreza Sadeghi Madavani

“…The preprocessing stage is applied for image enhancement such as edge preserved and noise reduction. The proposed algorithm for liver segmentation is a combined algorithm which utilizes a contour algorithm with a Vector Field Convolution (VFC) field as its external force and perceptron neural network. …”
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Multi-Scenario Robust Distributed Permutation Flow Shop Scheduling Based on DDQN by Shilong Guo, Ming Chen

“…After 2000 iterations, the DDQN algorithm achieves a 15% reduction in makespan with only a 2.5% increase in computational time compared to random search, this joint simulation system offers an efficient and stable solution for the modeling and optimization of the MSRDPFSP issue.…”
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Charting γ-secretase substrates by explainable AI by Stephan Breimann, Frits Kamp, Gabriele Basset, Claudia Abou-Ajram, Gökhan Güner, Kanta Yanagida, Masayasu Okochi, Stephan A. Müller, Stefan F. Lichtenthaler, Dieter Langosch, Dmitrij Frishman, Harald Steiner

“…Using machine learning, we predict the entire human γ-secretase substrate scope, revealing numerous previously unknown substrates. …”
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Multi-scenario Dynamic Simulation and Optimization of Urban Ventilation Environment: A Case Study of Taiyuan Metropolitan Area by Junda HUANG, Yuncai WANG

“…Three scenarios of natural development, farmland protection and ecological priority are set to simulate the land use types. Then, a prediction model is constructed based on the random forest algorithm. …”
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An Acta Orthopaedica educational article: Femoral neck fractures in adults with emphasis on surgical treatment by Cecilia Rogmark, Bjarke Viberg, Olof Wolf, Sebastian Mukka, Matthew L Costa, Jan-Erik Gjertsen

“…This educational article suggests a treatment algorithm for FNFs and describes the evidence base for the recommended surgical techniques. …”
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A novel anthropometric method to accurately evaluate tissue deformation by Chongyang Ye, Xiaolu Li, Haiyan Song, Yu Shi, Ruixin Liang, Jun Zhang, Ka Po Lee, Zhaolong Chen, Beibei Zhou, Raymond Kai-Yu Tong, Kit-Lun Yick, Sun-Pui Ng, Joanne Yip

“…Moreover, a novel anthropometric method based on image recognition algorithms that systematically measures and evaluates tissue deformation while minimizing the impact of the effects of motion is proposed. …”
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A Novel Multi-Scale Joint Approach for Estimating Lithium-ion Battery Model Parameters and SOC Considering Hysteresis Effect and Temperature by Xinhui Zhang, Wenyuan Bai, Shuyu Xie, Jiatong Wang, Danny Sutanto, Kashem M. Muttaqi

“…Experimental validation under DST, US06, and FUDS conditions demonstrates the effectiveness of the proposed method, achieving a maximum voltage prediction error of 0.0650 and a maximum SOC estimation error of 0.0092 across the full temperature range.…”
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Real-Time Compensation for Unknown Image Displacement and Rotation in Infrared Multispectral Camera Push-Broom Imaging by Tongxu Zhang, Guoliang Tang, Shouzheng Zhu, Fang Ding, Wenli Wu, Jindong Bai, Chunlai Li, Jianyu Wang

“…Subsequently, parameter prediction is conducted using the Kalman model, and real-time compensation is achieved by dynamically adjusting the infrared TDI integration unit based on the predicted parameters. …”
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AFSA-FastICA-CEEMD Rolling Bearing Fault Diagnosis Method Based on Acoustic Signals by Jin Yan, Fubing Zhou, Xu Zhu, Dapeng Zhang

“…Therefore, effective blind source separation and noise reduction of the acoustic signals generated between different devices is the key to bearing fault diagnosis using acoustic signals. …”
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Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery by Ahmad Khaleel AlOmari, Khaled Almansour

“…Parity plots and learning curves further validate MLP’s predictive reliability, demonstrating close alignment between actual and predicted values and efficient learning with minimal overfitting. …”
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An Automatic Welding Seam Extraction Method for Butt Workpieces with Varying Seam Widths Based on DLP Vision by Linbo Hao, Huaming Wang, Zeyu Sun, Yiming Wang, Bin Li, Shaohua Jiang, Zhiqiang Liu

“…Secondly, we construct a type of 2D reference coordinate frame by analyzing the structural characteristics of the workpiece, then conduct a dimensionality reduction transformation on the feature points. Finally, we design an algorithm for curve fitting and discrete interpolation, which can generate the ordered interpolation points for welding. …”
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Advancing Precision Medicine for Hypertensive Nephropathy: A Novel Prognostic Model Incorporating Pathological Indicators by Yunlong Qin, Jin Zhao, Yan Xing, Zixian Yu, Panpan Liu, Yuwei Wang, Anjing Wang, Yueqing Hui, Wei Zhao, Mei Han, Meng Liu, Xiaoxuan Ning, Shiren Sun

“…RSF and Cox regression were used to establish a renal prognosis prediction model based on the factors screened by the RSF algorithm. …”
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Parallel Processing of Sobel Edge Detection on FPGA: Enhancing Real-Time Image Analysis by Sanmugasundaram Ravichandran, Hui-Kai Su, Wen-Kai Kuo, Dileepan Dhanasekaran, Manikandan Mahalingam, Jui-Pin Yang

“…This work focuses on algorithmic complex reduction by using eight directional approaches, and parallel processing leads to reducing the architectural utilization.…”
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Multi-source data-driven Bayesian network for risk analysis of maritime accidents in the high sea by Xiaotong Qu, Chengbo Wang, Chengbo Wang, Ruijia Zhao, Mingxing Fang, Mingxing Fang, Mingxing Fang, Xinlian Xie

“…Subsequently, the Expectation-Maximization algorithm is employed for parameter estimation to handle missing data. …”
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Fog Computing and Industry 4.0 for Newsvendor Inventory Model Using Attention Mechanism and Gated Recurrent Unit by Joaquin Gonzalez, Liliana Avelar Sosa, Gabriel Bravo, Oliverio Cruz-Mejia, Jose-Manuel Mejia-Muñoz

“…Our approach involves the use of an attention mechanism for accurate demand prediction. We combine it with the Newsvendor model to determine optimal inventory levels. …”
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Diagnostic performance of YEARS criteria combined with point-of-care lung and venous ultrasound in suspected pulmonary embolism by Chiara Gigli, Giovanni Volpicelli, Antonio Annovi, Ángel Sánchez Garrido-Lestache, Maria Cristina Vedovati, Cecilia Becattini, Simone Vanni, Peiman Nazerian

“… Clinical prediction rules and bedside lung and venous ultrasound are frequently used in the diagnostic workup of suspected pulmonary embolism (PE). …”
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