Radio Propagation Models Based on Machine Learning Using Geometric Parameters for a Mixed City-River Path by Allan Dos S. Braga, Hugo A. O. Da Cruz, Leslye E. C. Eras, Jasmine P. L. Araujo, Miercio C. A. Neto, Diego K. N. Silva, Gervasio P. S. Cavalcante

“…This work presents and evaluates the use of geometric parameters of the environment in the prediction of the electric field in mixed city-river type environments, employing two techniques of Machine Learning (ML) as Artificial Neural Networks (ANN) and Neuro-Fuzzy System (NFS). …”
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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

“…Later, the extreme gradient boosting ML algorithm provided a nominal coefficient of determination of 0.988 in the prediction of compressive strength of concrete compared to the gradient boosting and random forest model. …”
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Hybrid Method with Perturbation for Lipschitzian Pseudocontractions by Lu-Chuan Ceng, Ching-Feng Wen

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Interplay of Spin Nernst Effect and Entanglement Negativity in Layered Ferrimagnets: A Study via Exact Diagonalization by Leonardo S. Lima

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GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression by Wenting Zhang, Tao Lai, Yuanhui Mo, Haifeng Huang, Qingsong Wang, Zhihua Zhou

“…Experimental results from the Dabao Mountain and Pearl River mining areas demonstrate that the proposed method achieves a reduction of over 80% in the maximum standard deviation of the time-series cumulative phase after suppression, significantly improving phase stability. …”
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Improving Electrical Distance Accuracy for Cable Fault Location Based on the Prony Method by Xiang Ren, Zhiqiang Feng, Kai Zhou, Xueming Zhou, Jianjun Yuan, Yefei Xu, Li Zhang

“…By establishing a frequency-variable coupling model containing the transfer function of the cable with double joint structure, studying the mapping relationship between the cable attenuation constant and the electromagnetic wave velocity, and adopting the Prony estimation method combined with the singular value decomposition noise reduction algorithm to achieve the extraction of the attenuation constant and the decoupling of the segmented wave velocity, thus improving the electrical accuracy of fault location. …”
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SOCIAL TECHNOLOGY OF UNIVERSITY INTERACTION MANAGEMENT WITH STAKEHOLDERS AS A TOOL FOR INCREASING COMPETITIVENESS by T. Bolshunova

“…As an experiment, an experience in the development and implementation of social technology for the organization of interaction of Lipetsk State Technical University with stakeholders has been adduced. The algorithm, principles and tasks of interaction of the educational organization with stakeholders and its place in the strategic management of the University have been described. …”
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Carbon stock dynamics of forest to oil palm plantation conversion for ecosystem rehabilitation planning by D. Frianto, E. Sutrisno, A. Wahyudi, E. Novriyanti, W.C. Adinugroho, A.S. Yunianto, H. Kurniawan, H. Khotimah, A. Windyoningrum, I.W.S. Dharmawan, H.L. Tata, S. Suharti, H.H. Rachmat, E.M. Lim

“…Data analysis was carried out using Classification and Regression Tree, a decision tree algorithm used in machine learning for guided classification. …”
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Design and Implementation of Sports Industry Information Service Management System Based on Data Mining by Hang Zhang

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Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis by ShinYe Kim, Winson Fu Zun Yang, Zishan Jiwani, Emily Hamm, Shreya Singh

“…Six machine learning algorithms (random forest, k-nearest neighbor, decision tree, naive Bayes, logistic regression, and support vector machine) were applied to predict state-level opioid mortality risk based on linguistic features derived from Linguistic Inquiry and Word Count. …”
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Experimental investigation and optimization of epoxy composites reinforced with jute fiber and alumina using the Jaya ANFIS approach by Lakshmi Narayana Somsole, P. Thejasree, K. L. Narasimhamu, Manikandan Natarajan, G. Velmurugan, Dinesh Ramesh Salunke, Vinod P. Sakhare, Pramod Kumar, Regasa Yadeta Sembeta

“…Abstract Composites reinforced with natural fibers are increasingly progressively in diverse engineering practices for their remarkable attributes, including weight reduction, high strength, cost-efficiency, biodegradability, and renewability. …”
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THE THYMIDINE KINASE-1(TK-1) AS A POTENTIAL TUMOR MARKER: SERUM LEVELS IN SERUM OF PATIENTS WITH SOLID AND SYSTEM MALIGNANCE NEOPLASMS by N. S. Sergeeva, N. K. Parilova, N. V. Marshutina, N. G. Tyurina, A. G. Mustafin

“…When solid MN shown that the activity of TK-1 accurately reflects the proliferative status of tumor.A comparison of the dynamics of TC-1 in the process of chemotherapy and its clinical efficacy, different authors have received fundamentally different results: in some cases the marker reduction was associated with treatment efficacy, and in part of publications they show that the clinically relevant effects of the treatment observed increase in the marker after the first chemotherapy.The entire set of received data demonstrates the relevance of the further development of the algorithm use of TK-1 in oncology practice.…”
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A high-precision 1 × 15 infrared temperature measurement linear array based on thermopile sensors by Jindong Bai, Wenhang Yang, Shouzheng Zhu, Haijun Jin, Yuchen Zhang, Ke Jin, Xiaoshuai Liu, Chunlai Li, Jianyu Wang, Hongxing Qi, Shijie Liu

“…On the FPGA control board, a multiparameter temperature compensation algorithm is used to address intrinsic temperature differences and consistency errors among the sensors. …”
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Reactivaion of immune-related colitis during targeted therapy in a patient with metastatic cutaneous melanoma by E. A. Degtiareva, S. A. Protsenko, E. N. Imyanitov, G. M. Teletaeva, D. Kh. Latipova, A. I. Semenova, A. V. Novik

“…When changing the anticancer treatment regimen, the recurrence of irAEs dictates careful monitoring of toxicity and the importance of timely selection of the optimal treatment algorithm to improve the quality and longevity of cancer patients.…”
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Biodegradation of CAHs and BTEX in groundwater at a multi-polluted pesticide site undergoing natural attenuation: Insights from identifying key bioindicators using machine learning... by Feiyang Xia, Tingting Fan, Mengjie Wang, Lu Yang, Da Ding, Jing Wei, Yan Zhou, Dengdeng Jiang, Shaopo Deng

“…Advanced machine learning (ML) algorithms help identify key microbial indicators for different pollution types (CAHs, BTEX plumes, and mixed plumes). …”
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Identification of the intestinal type gastric adenocarcinoma transcriptomic markers using bioinformatic and gene expression analysis by V. V. Volkomorov, E. S. Grigor’eva, G. S. Krasnov, N. V. Litvyakov, N. A. Lisitsyn, M. I. Voevoda, A. V. Belkovets, S. G. Afanas’ev, N. V. Cherdyntseva

“…These markers can be used for early tumor diagnosis and prognosis as well as for prediction of therapeutic response, estimation of tumor volume or to assess disease recurrence through monitoring. …”
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Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures by Omar Musbahi, MSc, ChM, Savvas Hadjixenophontos, MEng, Saran S. Gill, Iris Soteriou, Bsc, Kyriacos Pouris, Bsc, Takuro Ueno, PhD, Justin P. Cobb, MCh

“…Methods: Using a computer vision and pattern recognition algorithm, the femur shaft and prosthesis regions were identified, and their respective angles were extracted for NSA calculation. …”
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Identification of flood atmospheric patterns and simulation of rainfall to runoff conversion in Shiraz Watershed by Hamid Jorkesh, Mohammad Javad Amiri, Ahmad Nohegar

“…By recognizing the mechanisms and developing atmospheric patterns of flood generation, the first step can be taken in flood control; Also, by predicting the amount of runoff produced, how to deal with it can be identified. …”
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An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection by Junfang Wang, Xiangxiong Li, Huike Zeng, Jianfu Lin, Shiming Xue, Jing Wang, Yanfeng Zhou

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Single-Shot Wavefront Sensing in Focal Plane Imaging Using Transformer Networks by Hangning Kou, Jingliang Gu, Jiang You, Min Wan, Zixun Ye, Zhengjiao Xiang, Xian Yue

“…Traditional wavefront reconstruction methods, including the Gerchberg–Saxton (GS) algorithm and phase diversity (PD) techniques, are often limited by issues such as low inversion accuracy, slow convergence, and the presence of multiple possible solutions. …”
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