AIR-POLSAR-CR1.0: A Benchmark Dataset for Cloud Removal in High-Resolution Optical Remote Sensing Images with Fully Polarized SAR by Yuxi Wang, Wenjuan Zhang, Jie Pan, Wen Jiang, Fangyan Yuan, Bo Zhang, Xijuan Yue, Bing Zhang

“…In summary, AIR-POLSAR-CR1.0 fills the gap in polarization feature images and demonstrates good adaptability for the development of deep learning algorithms.…”
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From Data to Decisions: The Power of Machine Learning in Business Recommendations by Kapilya Gangadharan, Anoop Purandaran, K. Malathi, Barathi Subramanian, Rathinaraja Jeyaraj, Soon Ki Jung

“…Methodologically, the study delves into the role of ML in crafting and refining these systems, focusing on aspects such as data sourcing, feature engineering, and the importance of evaluation metrics, thereby highlighting the iterative nature of enhancing recommendation algorithms. The deployment of recommendation engines (RE), driven by advanced algorithms and data analytics, is explored across various domains, showcasing their significant impact on user experience and decision-making processes. …”
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Novel Framework for Artificial Bubble Image Generation and Boundary Detection Using Superformula Regression and Computer Vision Techniques by Pavel Mikushin, Nickolay Martynenko, Irina Nizovtseva, Ksenia Makhaeva, Margarita Nikishina, Dmitrii Chernushkin, Sergey Lezhnin, Ilya Starodumov

“…Tested on real bubble flows in mass transfer equipment, the algorithms enable bubble classification by shape and size, enhance detection accuracy, and reduce development time for neural network solutions. …”
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Design and Development of a Wayside AI‐Assisted Vision System for Online Train Wheel Inspection by Muhammad Zakir Shaikh, Sanaullah Mehran, Enrique Nava Baro, Agata Manolova, Mohammad Aslam Uqaili, Tanweer Hussain, Bhawani Shankar Chowdhry

“…Later, a comprehensive comparative analysis was conducted on several object detection algorithms for wheel segmentation task. Different algorithms are evaluated using COCO evaluation metrics, and the best‐performing model, YOLOv9, achieves a mAP50 of 0.94 and a recall of 0.91. …”
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Transfer Learning-Empowered Physical Layer Security in Aerial Reconfigurable Intelligent Surfaces-Based Mobile Networks by Yosefine Triwidyastuti, Tri Nhu Do, Ridho Hendra Yoga Perdana, Kyusung Shim, Beongku An

“…To address these challenges, we develop robust algorithms for optimizing the phase-shift configurations of RIS. …”
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Error Data Analytics on RSS Range-Based Localization by Shuhui Yang, Zimu Yuan, Wei Li

“…The significance of our discovery has two folds: First, we present a general expression for localization error data analytics, which can explain and predict the accuracy of range-based localization algorithms; second, the further study on the general analytics expression and its minimum can be used to optimize current localization algorithms.…”
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Complex Projective Synchronization in Drive-Response Stochastic Complex Networks by Impulsive Pinning Control by Xuefei Wu, Zhe Nie

“…In addition, the adaptive feedback algorithms are proposed to adjust the control strength. …”
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Specificity of the operator’s activity performing the work with the forecasting tools of technologically and chronologically interconnected events in the system of continuous forec... by V. V. Savluchinskij

“…Creation of an automated continuous forecasting system based on tracking information flows requires the development of a number of algorithms and machine programs to build a model of the forecast object based on the obtained identification features, to optimize a branched technologically and chronologically interconnected network of hierarchically coordinated events with an example of the work of the operator performing the work with the prediction tool in the system continuous forecasting and tracking information E flows.…”
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Lipid Storage Myopathy in Behçet's Disease: A Rare Cause of Elevated Serum Creatine Kinases Levels by Sedat Yilmaz, Muhammet Cinar, Yıldırım Karslioglu, Ismail Simsek, Hakan Erdem, Salih Pay, Ayhan Dinc

“…We herein have defined an algorithmic approach to a patient with Behcet’s disease and elevated muscle enzymes and report a case of coexisting of lipid storage myopathy.…”
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Data mining process for fraud detection in mobile communication by Jelena Mamčenko, Regina Kulvietienė

“…These are the ability to handle large amounts of data, suitable methods and algorithms, and the availability of domain expertise. …”
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Model of pipeline vibrations during unauthorized exposure by A. A. Fedotov, R. A. Akhmedzhanov, A. A. Pyatkov

“…Models can be used to develop and test algorithms for identifying impacts on the pipeline.…”
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Less complicated adaptive equalization for UWB channels by WANG Yi-ming1, 2 ZHU Hong-bo1

“…A new adaptive equalization technology aiming at the intersymbol and interuser interferences in the multiuser UWB channels was presented specially for DS-UWB/TH-UWB receivers.Its computational complexity and convergence rate were compared with the traditional algorithms.The research results show that the computational complexity of this technology is less than employing RLS method solely and the convergence rate of this technology is farther off employing LMS method solely.…”
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Community-based model for management and follow-up by non-physician healthcare workers to improve awareness, treatment, and control of hypertension: The COTRACO study protocolDetai... by A.J. Lora Mantilla, L.A. Parra Gomez, P.A. Camacho-López, J. Otero-Wandurraga, B. Novella, A. González-Medina, O. Valdez-Tiburcio, F. Lanas, M.C. Rocha-Lezama, J. Alonzo-Arias, C. Rivilla-Piñango, C. Cáceres-Ramírez, S.J. Villabona-Flórez, Y.M. Giraldo-Castrillón, P. López-Jaramillo

“…Using non-medical health professionals, standardized treatment algorithms and free access to antihypertensive medications, these regions can significantly improve awareness, diagnosis and management of hypertension. …”
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Boundary control problem with an infinite number of variables by Hussain A. El-Saify

“…The inequalities which characterize the optimal control in terms of the adjoint system are obtained, it is studied in order to construct algorithms attainable to numerical computations for the approximation of the control.…”
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Application and research prospects of artificial intelligence in breast cancer pathological diagnosis by DA Qian, RUAN Miao, FEI Xiaochun, WANG Chaofu

“…With the advent of digital pathology slide scanners and the continuous evolution of deep learning algorithms, there has been a significant advancement in the application of artificial intelligence (AI) in the diagnosis and treatment of breast cancer. …”
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Combinatorics in N = 1 Heterotic Vacua by Seung-Joo Lee

“…We briefly review an algorithmic strategy to explore the landscape of heterotic E 8 × E 8 vacua, in the context of compactifying smooth Calabi-Yau threefolds with vector bundles. …”
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Trading off 1-norm and sparsity against rank for linear models using mathematical optimization: 1-norm minimizing partially reflexive ah-symmetric generalized inverses by Fampa, Marcia, Lee, Jon, Ponte, Gabriel

“…The algorithms iterate until the generalized inverse has the least possible rank. …”
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A Survey of Deep Learning Approaches for Pedestrian Detection in Autonomous Systems by Majdi Sukkar, Rajendrasinh Jadeja, Madhu Shukla, Rajesh Mahadeva

“…The paper reviews object detection algorithms after providing an overview of deep learning basics and main architectures of neural networks, followed by discussion on existing algorithms along with their strengths, weaknesses, and future research directions. …”
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Suppressing the Endogenous Negative Influence Through Node Intervention in Social Networks by Satoshi Furutani, Tatsuhiro Aoshima, Toshiki Shibahara, Mitsuaki Akiyama, Masaki Aida

“…We prove that this problem is NP-hard and propose approximation algorithms to identify optimal intervention nodes that minimize the negative influence. …”
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Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation by Eduardo Mireles-Cabodevila, Enrique Diaz-Guzman, Alejandro C. Arroliga, Robert L. Chatburn

“…There are modes of mechanical ventilation that can select ventilator settings with computer controlled algorithms (targeting schemes). Two examples are adaptive support ventilation (ASV) and mid-frequency ventilation (MFV). …”
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