A Sequential Workforce Scheduling and Routing Problem for the Retail Industry: A Case Study by Uğur Eliiyi, Onur Uğurlu, Sel Özcan Tatari

“…We employed the k-means clustering algorithm for constructing these regions. Two different heuristic approaches were applied to solve regional scheduling in the second stage of the algorithm since the resulting scheduling problem is NP-hard. …”
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A Bayesian Hyperparameter Inference for Radon-Transformed Image Reconstruction by Hayaru Shouno, Madomi Yamasaki, Masato Okada

“…Then, we also show that our algorithm works well in the more realistic environment, that is, observation noise is Poissonian noise case. …”
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Digital Edge Detection Based Pneumonia Detection in Chest Radiographs by Poola Rahul Gowtham, Kommineni Prema Teja, Lahari P.L, Yellampalli Siva Sankar

“…In response to the demand of pneumonia diagnosis, a digital detection algorithm utilizing chest X-ray images has been proposed. …”
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Using Electrocardiogram Signal Features and Heart Rate Variability to Predict Epileptic Attacks by Ying Jiang, Yuan Feng, Danni Lu, Lin Yang, Qun Zhang, Haiyan Yang, Ning Li

“…From a practical point of view, due to the ease of obtaining the heart rate variability signal, the proposed algorithm is more promising than the algorithms that use brain signal processing to predict epilepsy.…”
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Perception Error-resistant Air Combat Maneuvering Decisions Based on Deep Reinforcement Learning by Chengbin TIAN, Hui LI, Xiliang CHEN, Fengguo WU

“…In response to this issue, an algorithm based on Proximal Policy Optimization (PPO) is proposed using features extracted by a Gated Recurrent Unit (GRU). …”
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Point Data Registration With the Multi-Object, Cardinalized Optimal Linear Assignment Metric by Pablo A. Barrios, Vicente Guzman, Martin D. Adams, Claudio A. Perez

“…The Iterative Closest Point (ICP) algorithm and its variants were initially used to solve such problems and since then, various global methods have been proposed to improve registration when data outliers exist. …”
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Optimal Selection of the Reference Potential Probe Point in DCPD Real-Time Monitoring of Crack Growth Rate by He Xue, Siyu Gou, Chenqiang Ni, Liang Zhang, Shuai Wang, Youjun Zhao

“…In this study, genetic algorithm (GA), finite element method (FEM), and experimental analysis are used to optimize the position of the reference potential probe point of the compact tensile (CT) sample. …”
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Kinematic analysis, methods and experimental studies of robot navigator movements on mecanum wheels by Sladkova L.A., Pshibiev A.M.

“…Modeling and simulation of the path localization and planning algorithm made it possible to test its effectiveness in various operating conditions. …”

Iraqi Stock Market Prediction Using Artificial Neural Network and Long Short-Term Memory by Sama Hayder Abdulhussein AlHakeem, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra Atee, Mahmod Muhamad Amrir

“…In this paper, two models were proposed to predict the Iraqi stock markets index through the use of artificial neural networks (ANN) and a long short-term memory (LSTM) algorithm where Iraqi stock market data were used from 2017 to 2021 and good results were achieved in the prediction where the long short-term memory (LSTM) algorithm reached a mean square error (MSE) rate of as little as 0.0016 while the artificial neural network (ANN) algorithm reached error rate 0.0055. …”
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Testing Dependencies and Inference Rules in Databases by Sergey V. Zykin

“…Testing cannot be used as a proof of the feasibility of inference rules, since the process of generalization requires the search for universal inference conditions for each rule, which cannot be programmed, since even the form of these conditions is unknown. …”
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Use of an anatomical atlas in real-time EIT reconstructions of ventilation and pulsatile perfusion in preterm infants by Christopher J. Rocheleau, Trevor D. Overton, Nilton Barbosa da Rosa, Gary J. Saulnier, Omid Rajabi Shishvan, Christopher D. Baker, Katelyn G. Enzer, Jennifer L. Mueller

“…Since CT scans were not available for these infants, there is no gold standard for validation. …”
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Soil Carbon Remote Sensing: A Meta-Analysis and Systematic Review of Published Results from 1969–2022 by Savannah L. McGuirk, Iver H. Cairns

“…Finally, data compiled in this meta-analysis demonstrate a correlation between declining model R² and the increased use of satellite multispectral data and non-parametric algorithms, particularly machine learning, since the year 2000. …”
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Group Stable Matching Problem in Freight Pooling Service of Vehicle–Cargo Matching Platform by Linlin Kong, Min Huang

“…It defines the concepts of combination preferences and group stability based on combination preferences, establishes a group stable matching model for the freight pooling business of vehicle–cargo matching platforms, and verifies the stability of the model through theoretical proof. Since this model is a mixed-integer linear programming model with relatively few decision variables but a large number of constraints, this paper introduces the cutting-plane algorithm. …”
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Optimizing winner determination for sustainability and timeliness in fresh agricultural product logistics service procurement auctions: insights from a fourth-party logistics persp... by Yi Zhou, Mingqiang Yin, Qiang Liu, Xiaohu Qian, Delong Jin, Xianming Lang

“…Based on Latin hypercube sampling approach, this paper reconstructs the traditional SAA algorithm framework, and combines the dual decomposition and Lagrangian relaxation algorithm to develop a sampling-based approximate algorithm to solve the proposed model. …”
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A Novel Multiobjective Optimization Approach for EV Charging and Vehicle-to-Grid Scheduling Strategy by Muhammad Aurangzeb, Yifei Wang, Sheeraz Iqbal, Md Shafiullah, Sultan Alghamdi, Zahid Ullah

“…The efficiency of the deterministic approach has been verified via extensive simulations and analysis, and the outcomes incorporate a definite enhancement in metrics since the RSS algorithm considerably optimized EV charging and V2G scheduling. …”
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Financial Stability and Innovation: The Role of Non-Performing Loans by Massimo Arnone, Alberto Costantiello, Angelo Leogrande, Syed Kafait Hussain Naqvi, Cosimo Magazzino

“…Since k-means is an unsupervised machine-learning algorithm, we compared the Silhouette coefficient with the Elbow method to find an optimization. …”
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Research on scene matching positioning technology for large-scale indoor scenes by Chenchen Zhou, Yujin Kuang, Tongfei Hu, Xiaoguo Zhang

“…Test results indicate that our algorithm achieves an RMSE of 0.48 m, demonstrating improved stability and robustness in handling extreme cases.…”
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Steganography Scheme Based on Reed-Muller Code with Improving Payload and Ability to Retrieval of Destroyed Data for Digital Images by A. M. Molaei, M. H. Sedaaghi, H. Ebrahimnezhad

“…Therefore, the proposed algorithm has a blind detection process which is more suitable for practical and online applications. …”
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Two-dimensional contour decomposition: Decomposing mortality differences into initial difference and trend components by age and cause of death by Dmitri A. Jdanov, Domantas Jasilionis, Vladimir Shkolnikov

“…To close this gap, the contour decomposition method was proposed. Since 2017, when it was published, this method has been successfully applied in several papers. …”
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Enhancing DPM Techniques in Outdoor Industrial WSN Applications by Kacem Halim, Glaoui Mohamed, Gharsallah Ali

“…In this context, a microcontroller dynamic power management (MDPM) algorithm is proposed to improve DPM scheme. This algorithm is deployed on a measurement circuit able to calculate the consumption during the different low power modes in real environments conditions and then selects the better one. …”
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