Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

“…The Jellyfish Optimizer (JO) algorithm was applied to tune hyperparameters, enhancing model performance. …”
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Learning Transversus Abdominis Activation in Older Adults with Chronic Low Back Pain Using an Ultrasound-Based Wearable: A Randomized Controlled Pilot Study by Luis Perotti, Oskar Stamm, Hannah Strohm, Jürgen Jenne, Marc Fournelle, Nils Lahmann, Ursula Müller-Werdan

“…Statistical analysis revealed no significant differences between the groups in terms of PAR during ADIM (<i>F</i>(2, 42) = 0.548, <i>p</i> = 0.58, partial <i>η</i>² = 0.025) or AB (<i>F</i>(2, 36) = 0.812, <i>p</i> = 0.45, partial <i>η</i>² = 0.043). …”
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Comparative performance evaluation of quartz and snail shell powders modified concrete: Mechanical, machine learning, and microstructural assessments by Md. Habibur Rahman Sobuz, Md. Kanan Chowdhury Tilak, SM Arifur Rahman, Fahim Shahriyar Aditto, Faiz Uddin Ahmed Shaikh, Md. Kawsarul Islam Kabbo, M Jameel, Md. Munir Hayet Khan

“…This paper presents the effect of snail shell powder (SSP) and quartz powder (QP) as a partial replacement of cement to reduce the impact on the environmental footprint of concrete. …”
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IMPROVEMENT OF ADAPTATION TO STRUCTURES REMOVABLE DENTURES IN PATIENTS WITH ISCHEMIC HEART DISEASE by N.A. Ryabushko, V.N. Dvornik, I.V. Pavlish, G.N. Balya

“… • (basic) group consisted of 53 patients who underwent orthopedic structures removable dentures (removable partial dentures plastinochnyh (CHZPP) and who had a history of major diseases - coronary heart disease, stable exertional angina FC II - III FC…”
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Inversion Model for Total Nitrogen in Rhizosphere Soil of Silage Corn Based on UAV Multispectral Imagery by Hongyan Yang, Jixuan Yan, Guang Li, Weiwei Ma, Xiangdong Yao, Jie Li, Qihong Da, Xuchun Li, Kejing Cheng

“…A total of 18 models based on machine learning algorithms, including BP neural networks (BPNNs), random forest (RF), and partial least squares regression (PLSR), were constructed to compare the most suitable inversion model for TN in the rhizosphere soil (0–30 cm) of silage corn at different growth stages. …”
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Machine-learning derived identification of prognostic signature to forecast head and neck squamous cell carcinoma prognosis and drug response by Sha-Zhou Li, Hai-Ying Sun, Yuan Tian, Liu-Qing Zhou, Tao Zhou

“…Therefore, the identification of reliable biomarker is crucial to enhance the accuracy of screening and treatment strategies for HNSCC.MethodTo develop and identify a machine learning-derived prognostic model (MLDPM) for HNSCC, ten machine learning algorithms, namely CoxBoost, elastic network (Enet), generalized boosted regression modeling (GBM), Lasso, Ridge, partial least squares regression for Cox (plsRcox), random survival forest (RSF), stepwise Cox, supervised principal components (SuperPC), and survival support vector machine (survival-SVM), along with 81 algorithm combinations were utilized. …”
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VIS/NIR Spectroscopy as a Non-Destructive Method for Evaluation of Quality Parameters of Three Bell Pepper Varieties Based on Soft Computing Methods by Meysam Latifi Amoghin, Yousef Abbaspour-Gilandeh, Mohammad Tahmasebi, Mohammad Kaveh, Hany S. El-Mesery, Mariusz Szymanek, Maciej Sprawka

“…Raw spectral data were initially modeled using partial least squares regression (PLSR). To optimize wavelength selection, support vector machines (SVMs) were combined with genetic algorithms (GAs), particle swarm optimization (PSO), ant colony optimization (ACO), and imperial competitive algorithm (ICA). …”
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Automatic MRI Lymph Node Annotation From CT Labels by Souraja Kundu, Yuji Iwahori, M. K. Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu

“…Training such models typically requires partial MRI labels for semi-supervision. However, annotating lymph nodes in MRI images is particularly challenging due to their small size and the high cost of MRI scans. …”
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NST-YOLO11: ViT Merged Model with Neuron Attention for Arbitrary-Oriented Ship Detection in SAR Images by Yiyang Huang, Di Wang, Boxuan Wu, Daoxiang An

“…This paper proposes an oriented ship target detection model based on the YOLO11 algorithm, Neural Swin Transformer-YOLO11 (NST-YOLO11). …”
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Qin Seal Script Character Recognition with Fuzzy and Incomplete Information by Yun Ou, Zhen-Jie Zhou, Di-Wen Kang, Pan Zhou, Xue-Wei Liu

“…Subsequently, the gamma transformation algorithm adjusts the image brightness and enhances the contrast between font structures and image backgrounds. …”
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Hybrid nanofluid flow around a circular cylinder: A coupled ANN and numerical study of MHD, bioconvection, and thermal radiation by Muhammad Fawad Malik

“…The algorithm bvp4c is used to assess the simplified mathematical model computationally in the MATLAB software program. …”
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Complex Indoor Human Detection with You Only Look Once: An Improved Network Designed for Human Detection in Complex Indoor Scenes by Yufeng Xu, Yan Fu

“…However, the complex indoor environment and background pose challenges to the detection task. The YOLOv8 algorithm is a cutting-edge technology in the field of object detection, but it is still affected by indoor low-light environments and large changes in human scale. …”
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AI-based online VoI-aware healthcare and medical monitoring task computing by Akbar Asgharzadeh-Bonab, Jalil Mazloum, Ali Nouruzi

“…Furthermore, we adopt a partial offloading approach to handle IoT device tasks. …”
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METHODOLOGY AND RESULTS OF MOBILE OBJECT PURSUIT PROBLEM SOLUTION WITH TWO-STAGE DYNAMIC SYSTEM by M. A. Kiselev

“…It contains certain results of control algorithm parameters impact assessment in regards to the pursuit mission effectiveness. …”
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A blockchain-based access control method for large-scale electronic medical records by Zhen Chu, Wangjie Qiu, Tianyu Lei, Jinchun He, Qinnan Zhang

“…Although existing access control frameworks offer partial solutions for secure data access, they fall short in authorization granularity, privacy preservation, and large-scale, high-frequency access. …”
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An Explainable CatBoost Model for Crater Classification Based on Digital Elevation Model by Minghao Zhu, Jialong Lai, Xiaoping Zhang, Yi Xu, Weidong He

“…In this study, we propose a machine-learning-based approach using the CatBoost algorithm to classify craters based on variables extracted from Digital Elevation Model (DEM) data. …”
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Hybrid model of hydrogen thermal desorption from structural materials by Yury V. Zaika, Ekaterina K. Kostikova

“…The hybrid thermal desorption model can be considered as a computational algorithm for solving a partial differential system using an approximation by an ODE system (but this is not a straight-line method).…”
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In-situ real-time monitoring of flavonoids extraction from propolis extracts based on near infrared spectroscopy by WANG Wuli, MA Haile, LI Han, ZHANG Yong, XIA Hong

“…ObjectiveFor the residue of propolis after supercritical CO2 extraction, the content of flavonoids in the secondary extraction process was detected in real time.MethodsNear-infrared spectroscopy was used to establish a quantitative analysis model by collecting the spectral information and the corresponding chemical values of flavonoids during the extraction process, which was used to detect the changesof flavonoids content in real time and to determine the end point of extraction.ResultsThe Rc (corrected correlation coefficient) and RMSEC (corrected root mean square error) of the model constructed by the PLS (partial least squares) algorithm after normalization preprocessing were 0.999 1 and 0.044 5, respectively. …”
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Diagnostic and treatment of fibrinothorax by V. V. Lishenko, D. A. Zaytsev, A. V. Kochetkov, A. A. Kurygin

“…In 6 (9 %) cases, pleural effusion was a transudate, in which, against the background of repeated punctures and long periods of fluid accumulation in the pleural cavity, partial delineations in the form of fibrinothorax formed. …”
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Effects of Polypropylene Waste Addition as Coarse Aggregates in Concrete: Experimental Characterization and Statistical Analysis by D. C. Naveen, K. Naresh, B. S. Keerthi Gowda, Madhu Sudana Reddy G, C. Durga Prasad, Ragavanantham Shanmugam

“…This study aims at utilizing polypropylene (PP) as a partial substitute for the conventional coarse aggregates in M30 grade concrete. …”
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