Optimizing additive manufacturing workflows using model-based systems engineering by Mohamed Amine Daoud, Khadija Bekkay Haouari, Meriem Hayani Mechkouri, Amine Ennawaoui, Hicham El hadraoui, Ilias Naser, Mustapha Ouardouz, Kamal Reklaoui

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Adaptive Step RRT*-Based Method for Path Planning of Tea-Picking Robotic Arm by Xin Li, Jingwen Yang, Xin Wang, Leiyang Fu, Shaowen Li

“…The Adaptive Step RRT* (AS-RRT*) path planning algorithm for tea-picking robotic arms was proposed as a solution to the autonomy, safety, and efficiency problems inherent to tea-picking robots in tea plantations. …”
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An improved lightweight tiny-person detection network based on YOLOv8: IYFVMNet by Fan Yang, Lihu Pan, Hongyan Cui, Linliang Zhang

“…This operation also reduces the computational cost by decreasing the amount of required feature map channels, while maintaining the effectiveness of the feature representation. (3) he Minimum Point Distance Intersection over Union loss function is employed to optimize bounding box detection during model training. (4) to construct the overall network structure, the Layer-wise Adaptive Momentum Pruning algorithm is used for thinning.ResultsExperiments on the TinyPerson dataset demonstrate that IYFVMNet achieves a 46.3% precision, 30% recall, 29.3% mAP50, and 11.8% mAP50-95.DiscussionThe model exhibits higher performance in terms of accuracy and efficiency when compared to other benchmark models, which demonstrates the effectiveness of the improved algorithm (e.g., YOLO-SGF, Guo-Net, TRC-YOLO) in small-object detection and provides a reference for future research.…”
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A Rectangular Toroidal Current-Based Approach for Lung Biopsy Needle Tracking by Hongliang Pei, Qingwen Fan, Yixiang Duan, Lang Xiao

“…Induced voltages from multiple transmitting coils are processed using Fourier transform algorithms to separate frequencies, enabling the independent extraction of each coil’s signal. …”
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Neural-Driven heuristic for strip packing trained with Black-Box optimization by Mariusz Kaleta, Tomasz Śliwiński

“…., packing components on printed circuit boards and macro-cell placement in Very-Large- Scale Integration design) and telecommunications (e.g., allocating data packets over transmission channels). …”
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Quasi-Viral Technologies as the Drivers of the Economy Digital Transformation Towards sustainability by Leonid Melnyk, László Vasa, Satyanand Singh, Oleksandr Kubatko, Lyudmila Kalinichenko

“…The signs of quasi-viral processes are formulated on several levels: “infection” due to a change in the information algorithm; substantial user preferences; lack of sufficient barriers; significant potential to increase users; and disruptive efficiency. …”
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RANFIS-Based Sensor System with Low-Cost Multi-Sensors for Reliable Measurement of VOCs by Keunyoung Kim, Woosung Yang

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A Bi-Level Programming-Based Method for Service Composition Optimization of Collaborative Manufacturing of Sewing Machine Cases by Gan Shi, Shanhui Liu, Keqiang Shi, Langze Zhu, Zhenjie Gao, Jiayue Zhang

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Integrated Additive Manufacturing Trajectory Control and Repair Management for Spiral Bevel Gear Using Fractional-Order PID and Adaptive Fuzzy Neural Inference System by Hiyam Adil Habeeb, Abdul Hadi Azman, Mohd Rizal Alkahari, Dzuraidah Abd Wahab, Nurhasyimah Abd Aziz

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Pembentukan Model Pohon Keputusan pada Database Car Evaluation Menggunakan Statistik Chi-Square by Retno Maharesi

“…This is possible because its formation is based on the statistical inferential method, so it does not require a separate pruning process as an addition step in the C4.5 algorithm, which actually this algorithm also considers aspects of the statistical significance.…”
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Predicting specific wear rate of laser powder bed fusion AlSi10Mg parts at elevated temperatures using machine learning regression algorithm: Unveiling of microstructural morpholog... by Vijaykumar S. Jatti, R. Murali Krishnan, A. Saiyathibrahim, V. Preethi, Suganya Priyadharshini G, Abhinav Kumar, Shubham Sharma, Saiful Islam, Dražan Kozak, Jasmina Lozanovic

“…However, to accurately predict the wear rate at high temperatures, six different machine learning regression algorithms were used, namely Support Vector Machine (SVM), Linear Regression (LR), Random Forest Regression (RFR), Gaussian Process Regression (GPR), XGBoost regression (XGB) and Decision Tree (DT). …”
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A novel method for encoding and decoding based on enhanced parity-check-concatenated polar codes by Yan WANG, Shunlan LIU, Zhenzhen XI, Jianrong BAO

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A novel method for encoding and decoding based on enhanced parity-check-concatenated polar codes by Yan WANG, Shunlan LIU, Zhenzhen XI, Jianrong BAO

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Personal Identification Using Embedded Raspberry Pi-Based Face Recognition Systems by Sebastian Pecolt, Andrzej Błażejewski, Tomasz Królikowski, Igor Maciejewski, Kacper Gierula, Sebastian Glowinski

“…This study focuses on the development and validation of a facial recognition system utilizing a Haar cascade classifier and the AdaBoost machine learning algorithm. The system leverages characteristic facial features—distinct, measurable attributes used to identify and differentiate faces within images. …”
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ABF-RRT*: Bidirectional fast optimal rapidly-exploring random tree via adaptive sampling of a permissible hyper-ellipsoid by Zhaoyang Zeng, Yufang Chang

“…The improved bidirectional planner combines the bisection optimization process, significantly improves the topological structure of the random tree, and accelerates the convergence to the optimal path solution. Since the algorithm relies on the tree expansion framework, it is compatible with various samplers and graph pruning strategies. …”
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Coronavirus Disease Diagnosis, Care and Prevention (COVID-19) Based on Decision Support System by Hussein Ali Salah, Ahmed Shihab Ahmed

“…In this paper, it was suggested the use of C4.5 Algorithm for decision tree.…”
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Automated painting color matching technology based on semantic intelligence understanding by Jiayin Zhang

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The hermeneutical challenge of reading digital biblical texts in Africa by Marius J. Nel

“…This digital shift presents both opportunities and challenges, including the potential for a de facto digital canon, the influence of algorithmic curation and the blurring of boundaries between the text and the reader. …”
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A Prototype of Automotive 77 GHz Radar by O. I. Bureneva, I. G. Gorbunov, G. V. Komarov, A. A. Konovalov, M. S. Kupriyanov, Yu. A. Shichkina

“…The development of such radars involve a number of technical difficulties due to the manufacture of high-precision extremely high-frequency (EHF) printed circuit boards. To facilitate the process of creating such devices, the existing algorithms for radar information processing should be debugged using prototypes from manufacturers of mm-band transceivers. …”
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Designing High‐Performance, Manufacturing‐Friendly Rotor Blades for Micro Wind Turbines via Cambered Plate Airfoil Optimization by Moritz Burmester, Abdullah Khisraw, Peter Dalhoff

“…The iterative optimization employed both single‐objective and (genetic) multi‐objective algorithms, targeting both aerodynamic efficiency and manufacturability. …”
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