A Model-Driven Realization of AUV Controllers Based on the MDA/MBSE Approach by Ngo Van Hien, Van-Thuan Truong, Ngoc-Tam Bui

“…This paper introduces a model-driven control realization, which is based on the systems engineering concepts of the model-driven architecture (MDA)/model-based systems engineering (MBSE) approach combined with the real-time UML/SysML, extended/unscented Kalman filter (EKF/UKF) algorithms, and hybrid automata, in order to conveniently deploy controllers of autonomous underwater vehicles (AUVs). …”
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Motor control method using single-sensor phase current reconstruction by Yin Lu, Yuntian Huang, Hao Guo

“…Simultaneously, optimization algorithms like neural networks are employed to learn from historical data to predict and estimate the current values of the three phases. …”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…To tackle the challenges of a parameterized action space, the MP-DQN network structure is adopted, forming the basis of the MA-CJD algorithm. Simulation experiments validate the effectiveness of the proposed MA-CJD algorithm. …”
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Game Theoretical Approaches for Optimizing Multi-Carrier Half-Duplex Successive Relaying Based Cooperative NOMA by H. Horler, B. Rastegari, S. X. Ng

“…This system exploits two matching-based algorithms based on game theory, namely Conventional Distributed Algorithm (CDA) and Pragmatic Distributed Algorithm (PDA), to handle the challenge of user pairing and power allocation in multi-carrier networks. …”
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Automatic Quantification of Atherosclerosis in Contrast-Enhanced MicroCT Scans of Mouse Aortas Ex Vivo by Vincent A. Stadelmann, Gabrielle Boyd, Martin Guillot, Jean-Guy Bienvenu, Charles Glaus, Aurore Varela

“…The walls, lumen, and plaque objects were segmented using dual-threshold algorithms. Aortic and plaque volumes were computed by voxel counting and lesion surface by triangulation. …”
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Smart Grid Dispatching Optimization for System Resilience Improvement by Li Liao, Chengjun Ji

“…In addition, simulation experiments compare the load dispatching capabilities of the proposed algorithm with the existing algorithms, thereby verifying the performance of the proposed method.…”
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Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods by Marco Buzzoni, Elia Soave, Gianluca D’Elia, Emiliano Mucchi, Giorgio Dalpiaz

“…In order to improve the diagnostic performance of the kurtosis, blind deconvolution algorithms can be exploited in order to detect bearing faults and, most importantly, their position. …”
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A Novel Efficient Passive Spatial Orientation Detection Method of UMT Enabled by ISB by Zhengqiang Xiong, Tao Sun, Zhengxing Wang, Yuhao Wu, Jie Yin

“…Simulation experiments demonstrate the efficiency of the ECOD method in passive 3D spatial orientation of underwater acoustic target and show that the ECOD method has a better performance in time consumption compared with general DOA algorithms.…”
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Modern modes of chronic hepatitis C treatment by V. T. Ivashkin, M. V. Mayevskaya, M. A. Morozova, Ye. O. Lyusina

“…Recently principles of antiviral treatment were seriously reconsidered, that inevitably leads to sophistication of therapeutic algorithms. So, modification of treatment mode according to virologic response is rational today. …”
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Multidirectional Anisotropic Total Variation and Its Application in the Tomography of the Surrounding Rock of Coal Mining Faces by Bo Chen, Guowei Zhu, Zhenqiang Yang

“…The computed tomography (CT) reconstruction algorithm is one of the crucial components of the CT system. …”
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Deciphering the Immune Subtypes and Signature Genes: A Novel Approach Towards Diagnosing and Prognosticating Severe Asthma Through Interpretable Machine Learning by Yue Hu, Yating Lin, Bo Peng, Chunyan Xiang, Wei Tang

“…We employ single-sample gene set enrichment analysis (ssGSEA) and Least Absolute Shrinkage and Selection Operator (LASSO) algorithms to identify differentially expressed immune cells and utilize machine learning techniques, including Extreme Gradient Boosting (XGBoost) and random forest, to predict severe asthma outcomes and identify key genes associated with immune cells. …”
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Predicting Changes of the Cultivation Areas for Astamaran and Berhi Cultivars in Iran in the 21st Century by Maryam Afzali, javad khoshhal dastjerdi, Aziz Torahi

“…Global warming in the last century has led planners to design pre-awareness programs and algorithms due to future climatic conditions in order to choose long-lived durable plants that can survive in future environmental conditions and have good economic yield. …”
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Investigation of an object-detection approach for estimating the rock fragmentation in the open-pit conditions by K. Reshetnikov, M. Ronkin, S. Porshnev

“…Because of this, the use of alternative techniques based on algorithms for the real-time object detection is highly relevant. …”
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Minimizing Delay and Power Consumption at the Edge by Erol Gelenbe

“…Thus, substantial research has been conducted to identify optimum task allocation schemes in this context using non-linear optimization, machine learning, and market-based algorithms. Prior work has mainly focused on two methodologies: (i) formulating non-linear optimizations that lead to NP-hard problems, which are processed via heuristics, and (ii) using AI-based formulations, such as reinforcement learning, that are then tested with simulations. …”
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Integrating feedback control for improved human-structure interaction analysis by Santiago A. Lopez, Daniel Gomez, Albert R. Ortiz, Sandra Villamizar

“…While well-established in robotics and automation engineering, these control algorithms represent a novel and transformative approach when applied to HSI. …”
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A Gradual Approach for Multimodel Journey Planning: A Case Study in Izmir, Turkey by Feriştah Dalkılıç, Yunus Doğan, Derya Birant, Recep Alp Kut, Reyat Yılmaz

“…We employed Dijkstra’s algorithm after the first stage of the path-finding algorithm by applying stage specific rules to reduce search space and runtime. …”
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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…In this study, a hybrid technique is used by utilizing both pre-train models for feature extraction and classification using machine learning algorithms for the task of kidney disease image diagnosis. …”
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Flow and Transport in Tight and Shale Formations: A Review by Amgad Salama, Mohamed F. El Amin, Kundan Kumar, Shuyu Sun

“…Each scale has its own tools and limitations that may not, probably, be suitable at other scales. Multiscale algorithms that effectively couple simulations among various scales of porous media are therefore important. …”
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Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations by Younghyun Lee, David K. Han, Hanseok Ko

“…A reinforced AdaBoost learning algorithm is proposed for object detection with local pattern representations. …”
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Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning researchMendeley Data by Eram Mahamud, Md Assaduzzaman, Shayla Sharmin

“…Moreover, the dataset serves as a valuable resource for training and testing machine learning algorithms tailored to agricultural settings, facilitating advancements in automated agricultural technologies. …”
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