Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization by Iqra Hameed, Mario R. Camana, Mohammad Abrar Shakil Sejan, Hyoung Kyu Song

“…To solve this non-convex joint optimization problem, we employ the simultaneous perturbation stochastic approximation (SPSA) algorithm, a gradient-free method that efficiently estimates optimal parameters with minimal function evaluations. Compared to conventional optimization techniques, SPSA provides a scalable and computationally efficient approach for real-time resource allocation in RSMA-aided WPCNs. …”
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A Pedaling Torque Observation Approach for Sensorless Electric Bicycles by Riccardo Mandriota, Niklas Konig, Emanuele Grasso, Matthias Nienhaus

“…Also, an online low-computational effort road slope estimation method based on Kalman filtering, that accounts for cornering effect errors, is proposed. …”
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Clinical case of an acquired hemophilia by P. N. Barlamov, E. R. Vasilyeva, M. E. Golubeva, V. G. Zhelobov, A. A. Shutylev, T. Yu. Kravtsova

“…Standard laboratory tests, computed tomography of soft tissues of the neck, lungs, abdomen; coagulogram; blood clotting factors; inhibitor of factor VIII were evaluated in dynamics during the patient’s stay in the hospital; platelet aggregation function.Results. …”
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Optimizing Bearing Fault Diagnosis in Rotating Electrical Machines Using Deep Learning and Frequency Domain Features by Eduardo Quiles-Cucarella, Alejandro García-Bádenas, Ignacio Agustí-Mercader, Guillermo Escrivá-Escrivá

“…The analysis evaluates the effectiveness of two wavelet transforms (amor and morse) for feature extraction in correlation with varying learning rates. …”
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Evolving Paradigms in Spinal Surgery: A Systematic Review of the Learning Curves in Minimally Invasive Spine Techniques by Kun Wu, Zhihe Yun, Siravich Suvithayasiri, Yihao Liang, Dimas Rahman Setiawan, Vit Kotheeranurak, Khanathip Jitpakdee, Enrico Giordan, Qinyi Liu, Jin-Sung Kim

“…This study critically evaluates surgical duration, intraoperative conversions to open surgery, and complications as primary parameters to gauge these learning curves. …”
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An Integrated Optimization Framework for Connected and Automated Vehicles and Traffic Signals in Urban Networks by Meiqi Liu, Yalan Li, Xiaofei Liu, Yang Chen, Ruochen Hao

“…A comparative analysis further evaluates the effectiveness of each module and reveals the significant impact of signal optimization on improving traffic efficiency, highlighting its importance in urban road networks.…”
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Reducing Sun Exposure for Prevention of Skin Cancers: Factorial Invariance and Reliability of the Self-Efficacy Scale for Sun Protection by Steven F. Babbin, Hui-Qing Yin, Joseph S. Rossi, Colleen A. Redding, Andrea L. Paiva, Wayne F. Velicer

“…The Self-Efficacy Scale for Sun Protection consists of two correlated factors with three items each for Sunscreen Use and Avoidance. This study evaluated two crucial psychometric assumptions, factorial invariance and scale reliability, with a sample of adults (N=1356) participating in a computer-tailored, population-based intervention study. …”
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Identification of Vehicle Logos in Deep Learning: A Comprehensive Survey by Mustafa Noaman Kadhim, Ammar Hussein Mutlag, Dalal Abdulmohsin Hammood, Nurulisma Binti Hj. Ismail

“…The accelerated progress of deep learning has resulted in an increasing need within the computer vision field for the development of efficient, robust, and outstanding services across several domains, such as the recognition and classification of automobile emblems. …”
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Sonographic Lobe Localization of Alveolar-Interstitial Syndrome in the Critically Ill by Konstantinos Stefanidis, Stavros Dimopoulos, Chrysafoula Kolofousi, Demosthenes D. Cokkinos, Katerina Chatzimichail, Lewis A. Eisen, Mitchell Wachtel, Dimitrios Karakitsos, Serafim Nanas

“…Fast and accurate diagnosis of alveolar-interstitial syndrome is of major importance in the critically ill. We evaluated the utility of lung ultrasound (US) in detecting and localizing alveolar-interstitial syndrome in respective pulmonary lobes as compared to computed tomography scans (CT). …”
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External validation of the prediction model of intradialytic hypotension: a multicenter prospective cohort study by Yuhe Xiang, Guoting Ma, Qin Yang, Min Cao, Wenbin Xu, Lin Li, Qian Yang

“…Model performance was assessed by: (1) Discrimination: Evaluated through the computation of the Area Under Curve (AUC) and its corresponding 95% confidence intervals. (2) Calibration: scrutinized through visual inspection of the calibration plot and utilization of the Brier score. (3) The incremental value of risk prediction and the utility of updating the model were gauged using NRI (Net Reclassification Improvement) and IDI (Integrated Discrimination Improvement). …”
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A multi-organ, feto-maternal interface organ-on-chip, models pregnancy pathology and is a useful preclinical extracellular vesicle drug trial platform by Melody Safarzadeh, Lauren S. Richardson, Ananth Kumar Kammala, Angela Mosebarger, Mohamed Bettayeb, Sungjin Kim, Po Yi Lam, Enkhtuya Radnaa, Arum Han, Ramkumar Menon

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A scalable deep attention mechanism of instance segmentation for the investigation of chromosome by Neelam Umbreen, Sara Ali, Hasan Sajid, Yasar Ayaz, Shrooq Alsenan, Yunyoung Nam, So Yeon Kim, Muhammad Baber Sial

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Decision Support System for Job Applicant Recommendation Using ROC and ORESTE Methods by Risdani Mu'arif, Raissa Amanda Putri

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Application of machine learning in diabetes prediction based on electronic health record data analysis by Yang Zihan

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Hierarchical control of inverter-based microgrid with droop approach and proportional-integral controller by Mahmoud Hazhir

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A Secure Asymmetric Optical Image Encryption Based on Phase Truncation and Singular Value Decomposition in Linear Canonical Transform Domain by Anshula Sangwan, Hukum Singh

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Statistical Prediction Based on Ordered Ranked Set Sampling Using Type-II Censored Data from the Rayleigh Distribution under Progressive-Stress Accelerated Life Tests by Atef F. Hashem, Alaa H. Abdel-Hamid

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Financial Risk Early-Warning of Neusoft Group Based on Support Vector Machine by Yuxuan Dai, Chenhui Yu

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Applying Optimized ANN Models to Estimate Dew Point Pressure of Gas Condensates by Luo Han, Saeed Sarvazizi

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Zero-Shot Recon2Recon: Data-Free Unsupervised Denoiser Learning for Plug-and-Play Magnetic Resonance Imaging Reconstruction by Tae Hyung Kim

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