A unique unsupervised enhanced intuitionistic fuzzy C-means for MR brain tissue segmentation by Saritha Saladi, Karuna Yepuganti, Ravikumar Chinthaginjala, Tae-hoon Kim, Shafiq Ahmad

“…However, segmenting brain images poses several challenges, including noise, bias field, and partial volume effect (PVE). Removing noise, accurately segmenting tissues and tumors are crucial for effective evaluation. …”
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Some remarks on a mathematical model for water flow in porous media with competition between transport and diffusion by Judita Runcziková, Jan Chleboun, Chiara Gavioli, Pavel Krejčí

“…The model consists of a nonlinear partial differential equation describing both the diffusion and the gravitational transport of water. …”
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Depressive symptoms in non-alcoholic fatty liver disease are identified by perturbed lipid and lipoprotein metabolism. by Daniel E Radford-Smith, Preya J Patel, Katharine M Irvine, Anthony Russell, Dan Siskind, Daniel C Anthony, Elizabeth E Powell, Fay Probert

“…This led to the development of a diagnostic algorithm with AUC 0.83 for future testing in larger clinical cohorts. …”
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Robust time series analysis for forecasting photovoltaic energy yield by Sapundzhi Fatima, Chikalov Aleksandar, Georgiev Slavi, Georgiev Ivan, Todorov Venelin

“…This study introduces an approach to forecasting the power output of a photovoltaic (PV) system by employing an ARIMA-based algorithm. Two distinct ARIMA models were designed – one generated via SPSS and one selected by the researchers. …”
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Geometry-Based Synchrosqueezing S-Transform with Shifted Instantaneous Frequency Estimator Applied to Gearbox Fault Diagnosis by Xinping Zhu, Wuxi Shi, Zhongxing Huang, Liqing Shi

“…Moreover, unlike conventional reassignment method, GSSST supports partial signal reconstruction, a key advantage for applications requiring accurate signal recovery. …”
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Circular thin plates buckling analysis with HRPIM method by Baid Sokayna, Hilali Youssef, Mesmoudi Saïd, Bourihane Oussama

“…This paper aims to introduce a new approach to simulate geometrically nonlinear problems that require shape functions with higher order continuity such as the buckling analysis of circular thin and thick plates based on two theories; Classical plate theory (CPT) and Third order Shear Deformation Theory (TSDT). The algorithm integrates high-order continuation (HOC) solver and the Hermite-type radial point interpolation method (HRPIM). …”
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Quantitative Structure-Activity Relationship Studies for Potential Rho-Associated Protein Kinase Inhibitors by Giovanna Cardoso Gajo, Tamiris Maria de Assis, Letícia Cristina Assis, Teodorico Castro Ramalho, Elaine Fontes Ferreira da Cunha

“…The models were generated applying genetic algorithm (GA) optimization combined with partial least squares (PLS) regression. …”
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Integrating Multiple Hierarchical Parameters to Achieve the Self-Compensation of Scale Factor in a Micro-Electromechanical System Gyroscope by Rui Zhou, Rang Cui, Daren An, Chong Shen, Yu Bai, Huiliang Cao

“…This is achieved by integrating the primary and secondary relevant parameters of the scale factor using the partial least squares regression (PLSR) algorithm. …”
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Prescribed-Time Cooperative Output Regulation by Bounded Observer-Based Time-Varying Protocols by Jiaxin Zhou, Yuan Tian, Yan Li, Sidong Wu

“…The practical value of the proposed algorithm is verified through two simulation cases of a linear multi-agent system with one leader and four followers, showcasing its efficacy and potential in real applications.…”
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Thermal and stability analysis of silver–water nanofluid flow over unsteady stretching sheet under the influence of heat generation/absorption at the boundary by Shah Nehad Ali, Alabduljabbar Areej Abdullah, Zeeshan, Yook Se-Jin

“…A mathematical framework is created for the Ag nanofluids in terms of partial differential equations (PDEs). Through resemblance variables, the system of PDEs is made dimensionalized in terms of ordinary differential equations and then computed by a boundary-value problem fourth-order algorithm. …”
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ENGINEERING OF THE BOOST SYSTEM FOR SMALL-SIZE GAS-TURBINE ENGINE WITH PULSE-DETONATION MODULE by M. I. Erofeev, V. V. Parievskiy

“…As a result, the research reasonably determined the structural diagram of the boost system test rig, providing a partial simulation of flight conditions at the inlet to the small-sized turbine engine. …”
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A spatio-temporal infection epidemic model with fractional order, general incidence, and vaccination analysis by Sara Soulaimani, Abdelilah Kaddar, Fathalla A. Rihan

“…The paper investigates a spatio-temporal SEIR epidemic model on a global level with fractional order. It employs four partial differential equations incorporating fractional derivatives and account for diffusion to characterize infection dynamics. …”
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Pixel-Based Image Processing for CIE Standard Sky Classification through ANN by D. Granados-López, A. García-Rodríguez, S. García-Rodríguez, A. Suárez-García, M. Díez-Mediavilla, C. Alonso-Tristán

“…The use of either the green or the blue monochromatic channels improved sky classification, both for the fifteen CIE standard sky types and for simpler classification into clear, partial, and overcast conditions. The main conclusion was that specific image-processing methods could improve ANN-algorithm accuracy, depending on the image information required for the classification problem.…”
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Linguistic and didactic specificity of multimodal discourse: possibilities and effectiveness of creolized text application in English teaching by V. L. Malakhova

“…The author describes texts with full and partial creolization, their features and role in the formation of multimodal discursive space. …”
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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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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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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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