Development of an IMU-Based Post-Stroke Gait Data Acquisition and Analysis System for the Gait Assessment and Intervention Tool by Yu-Chi Wu, Yu-Jung Huang, Chin-Chuan Han, Yuan-Yang Cheng, Chao-Shu Chang

“…With the advancement of technology, today’s small, lightweight inertial measurement unit (IMU) wearable sensors are rapidly revolutionizing gait assessment and may be incorporated into routine clinical practice. …”
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Acoustic Source Localization Based on the Two-Level Data Aggregation Technology in a Wireless Sensor Network by Yuwu Feng, Guohua Hu, Lei Hong

“…Then, a nonlinear iterative weighted least squares algorithm is applied to complete the final acoustic source location estimation based on the real remaining sensor measurements. …”
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A Mobile-Beacon-Assisted Sensor Network Localization Based on RSS and Connectivity Observations by Guodong Teng, Kougen Zheng, Ge Yu

“…However, localization by means of mere connectivity may underutilize the proximity information available from neighborhood sensing. …”
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Competing Risks Failure Model Under Progressive Censoring With Random Removals Based on the Generalized Power Half Logistic Geometric Distribution by Ahlam H. Tolba, Ahmed Ramses El-Saeed

“…In numerous survival analysis experiments, subjects may experience failure or death due to multiple causes. …”
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MODEL FOR THE FORMATION OF A PROJECT TEAM COMPOSITION BASED ON DISCRETE OPTIMIZATION METHODS by S.M. Beketov, M.V. Dergachev, S.G. Redko

“…The paper examines existing approaches to team building and develops an algorithm that minimizes personnel costs while maintaining high efficiency. …”

A Novel Way to Relate Ontology Classes by Ami T. Choksi, Devesh C. Jinwala

“…The anonymous classes are limited in scope and may not be part of the whole inference process. …”
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3T-VASP: fast ab-initio electrochemical reactor via multi-scale gradient energy minimization by Jonathan P. Mailoa, Xin Li, Shengyu Zhang

“…However, many DFT steps may be needed to discover rare electrochemical reaction byproducts, which limits DFT’s scalability. …”
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Evaluation of Preferred Automated Driving Patterns Based on a Driving Propensity Using Fuzzy Inference System by Sooncheon Hwang, Dongmin Lee

“…This study confirmed that in the era of automated driving, the preferred automated driving patterns may vary depending on the propensity from the user’s perspective. …”
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Unsupervised Texture Segmentation Using Active Contour Model and Oscillating Information by Guodong Wang, Zhenkuan Pan, Qian Dong, Ximei Zhao, Zhimei Zhang, Jinming Duan

“…Textures often occur in real-world images and may cause considerable difficulties in image segmentation. …”
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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

“…Due to its capability to preserve past information, the LSTM algorithm was implemented as a time series forecasting model. …”
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Addressing Dyslipidaemia in Advanced CKD: Insights from a Secondary Care Cohort by Tom Siby, Seena Babu, Inuri Patabendi, Sudarshan Ramachandran, Jyoti Baharani

“…Using the Friedewald algorithm, 83.8%, 70.6% and 60.3% did not achieve LDL-C targets of 1.4 mmol/L, 1.8 mmol/L and 2.0 mmol/L respectively, these figures were higher when the Sampson algorithm was applied. …”
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Automatic vowels selection and ranking in Russian enciphered texts by Yuri I. Petrenko

“…Using this criterion, the algorithm can separate vowels from consonants for short (up to 100 characters) texts as well as the ranking of vowels for texts as small as 250-500 letters. …”
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C-reactive protein-triglyceride glucose index predicts stroke incidence in a hypertensive population: a national cohort study by Songyuan Tang, Han Wang, Kunwei Li, Yaqing Chen, Qiaoqi Zheng, Jingjing Meng, Xin Chen

“…This study suggests that CTI may emerge as a unique predictive marker for stroke risk.…”
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DETERMINANTS OF INTEREST RATES ON CORPORATE DEBT by O. Tereshchenko, M. Stetsko, N. Tkachenko, N. Babiak

“…The objective of this article is theoretical and methodological justifying of determining algorithm of the cost of debt capital for enterprises functioning in emerging markets (EM). …”
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Deep reinforcement learning for multi-objective location optimization of onshore wind power stations: a case study of Guangdong Province, China by Yanna Gao, Hong Dong, Liujun Hu, Fanhong Zeng, Yuqun Gao, Zhuonan Huang, Shaohua Wang, Shaohua Wang

“…To solve this model at large scale, a deep reinforcement learning (DRL) algorithm is designed and implemented. The DRL approach is benchmarked against a traditional optimization implementation using the Gurobi solver. …”
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Automated Detection of Central Retinal Artery Occlusion Using OCT Imaging via Explainable Deep Learning by Ansgar Beuse, Daniel Alexander Wenzel, MD, Martin Stephan Spitzer, MD, Karl Ulrich Bartz-Schmidt, MD, Maximilian Schultheiss, MD, Sven Poli, MD, Carsten Grohmann, PhD, MD

“…Results: The optimal performance of our algorithm was observed using 30 epochs, complemented by an early stopping mechanism to prevent overfitting. …”
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Improved mapping of highland bamboo forests using Sentinel-2 time series and machine learning in Google Earth Engine by Dagnew Yebeyen, Binyam Tesfaw Hailu, Worku Zewdie, Temesgen Abera, Gudeta W. Sileshi, Melaku Getachew, Sileshi Nemomissa

“…Finally, the best-performing machine learning algorithm was used to classify and map bamboo forests. …”
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Cost-effectiveness of point-of-care viscoelastic haemostatic assays in the management of bleeding during cardiac surgery: protocol for a prospective multicentre pragmatic study wit... by Bertrand Rozec, Isabelle Durand-Zaleski, Jean-Christophe Rigal, Elodie Boissier, Karim Lakhal

“…The primary outcome is the cost-effectiveness of a VHA-guided algorithm over a 1-year follow-up, including patients’ quality of life. …”
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Are Suggested Hiking Times Accurate? A Validation of Hiking Time Estimations for Preventive Measures in Mountains by Marco Vecchiato, Nicola Borasio, Emiliano Scettri, Vanessa Franzoi, Federica Duregon, Sandro Savino, Andrea Ermolao, Daniel Neunhaeuserer

“…Real-world hiking times were compared with estimations from Komoot, Outdooractive, mountain signage, and the MOVE algorithm, which incorporates individualized biological and trail characteristics. …”
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Thermal Radiation Transport with Tensor Trains by Alex A. Gorodetsky, Patrick D. Mullen, Aditya Deshpande, Joshua C. Dolence, Chad D. Meyer, Jonah M. Miller, Luke F. Roberts

“…When the solution is “low rank,” the memory footprint of the specific intensity solution vector may be significantly compressed. The algorithm, following a step-then-truncate approach of a traditional discrete ordinates method, operates directly on the compressed state vector, thereby enabling large speedups for low-rank solutions. …”
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