Comparative study of feedback linearization control for IM taking into account magnetic saturation effects by Mustapha Es-Semyhy, Abdellfattah Ba-Razzouk, Mustapha El haroussi, Abdelilah Hilali

“…Within the FOC framework, two feedback linearization strategies are evaluated. The FL sat takes into account the non-linear variations in machine inductances caused by saturation, enabling a more accurate representation of IM dynamics. …”
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A Novel Framework for Saraiki Script Recognition Using Advanced Machine Learning Models (YOLOv8 and CNN) by Hafiz Muhammad Raza Ur Rehman, Syed Arfan Haider, Hiba Faisal, Kook-Yeol Yoo, M. Z. Jhandir, Gyu Sang Choi

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Comparative immunogenicity of monovalent and bivalent adenovirus vaccines carrying spikes of early and late SARS-CoV-2 variants by Hengchun Li, Chenchen Yang, Li Yin, Wenming Liu, Zhengyuan Zhang, Bo Liu, Xinxin Sun, Wenhao Liu, Zihan Lin, Zijian Liu, Ping He, Ying Feng, Chunhua Wang, Wei Wang, Suhua Guan, Qian Wang, Ling Chen, Pingchao Li

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Bayesian Analysis of the Weibull Paired Comparison Model Using Numerical Approximation by Khalil Ullah, Muhammad Aslam

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FRID-PI: a machine learning model for diagnosing fracture-related infections based on 18F-FDG PET/CT and inflammatory markers by Mei Yang, Quanhui Tan, Tingting Li, Jie Chen, Weiwei Hu, Yi Zhang, Xiaohua Chen, Jiangfeng Wang, Chentian Shen, Zhenghao Tang

“…This study aimed to construct and evaluate a novel diagnostic nomogram based on 18F-fluorodeoxyglucose positron emission tomography /computed tomography (18F-FDG PET/CT) and laboratory biomarkers for FRI by machine learning.MethodsA total of 552 eligible patients recruited from a single institution between January 2021 and December 2022 were randomly divided into a training (60%) and a validation (40%) cohort. …”
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Monitoring Ionospheric and Atmospheric Conditions During the 2023 Kahramanmaraş Earthquake Period by Serkan Doğanalp, İrem Köz

“…To compute the total electron content (TEC) values, data from 29 GNSS receivers covering a period of approximately 49 days were processed. …”
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Positron Emission Tomographic Imaging of Copper 64– and Gallium 68–Labeled Chelator Conjugates of the Somatostatin Agonist Tyr-Octreotate by Jessie R. Nedrow, Alexander G. White, Jalpa Modi, Kim Nguyen, Albert J. Chang, Carolyn J. Anderson

“…The bifunctional chelator and radiometal have been shown to have a direct effect on the pharmacokinetics of somatostatin receptor (SSTR)-targeted imaging agents. We evaluated three Y3-TATE analogues conjugated to NOTA-based chelators for radiolabeling with 64 Cu and 68 Ga for small-animal positron emission tomographic/computed tomograhic (PET/CT) imaging. …”
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Bone Ingrowth to Ti Fibre Knit Block with High Deformability by Yoko Henmi, Yoshihito Naito, Ryo Jimbo, Yohei Jinno, Kazumitsu Sekine, Kenichi Hamada

“…The elastic modulus and deformability were evaluated using a compression test. The knit block was implanted into bone defects of a rabbit’s hind limb, and new bone formation was evaluated using micro computed tomography (micro-CT) analysis and histological analysis. …”
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Meta-Learning-Based Prediction of Different Corn Cultivars from Color Feature Extraction by Abdullah Beyaz, Dilara Gerdan

“…Because of this reason, in the study, a computer image analysis technique was applied on three corn cultivars. …”
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Beyond the Obesity Paradox: Analysis of New Prognostic Factors in Transcatheter Aortic Valve Implantation Procedure by Francesca Ricci, Leonardo Benelli, Monia Pasqualetto, Mario Laudazi, Luca Pugliese, Maria Volpe, Cecilia Cerimele, Carlo Di Donna, Francesco Garaci, Marcello Chiocchi

“…Scope: The main purpose of our study was to collect computed tomography (CT) measurements of fat parameters that are significantly related to body mass index (BMI) and evaluate the associations of these measurements and sarcopenia with early and long-term complications after transcatheter aortic valve implantation (TAVI) in order to investigate the existence of the so-called ‘obesity paradox’ and the role of sarcopenia in this phenomenon. …”
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CFD-FEM Analysis for Functionality Prediction of Multi-Gear Pumps by Olga Zharkevich, Olga Reshetnikova, Tatyana Nikonova, Alexandra Berg, Andrey Berg, Darkhan Zhunuspekov, Oxana Nurzhanova

“…A comprehensive model for evaluating the functionality of a multi-gear pump has been developed. …”
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PET/CT WITH 68GA-FAPI46 FOR THE DETECTION OF PRIMARY AND METASTATIC LESIONS IN PATIENTS WITH DIFFERENT TYPES OF CANCER. INITIAL EXPERIENCE by Lilian Yuri Itaya Yamaga, Gustavo Borges da Silva Teles, Durval Santos, Oren Smaletz, Roberto Pestana, Poliana Biasi, Mauricio Fernandes, Solange Amorim Nogueira, Marycel Figols Barboza, Taise Vitor, Jairo Wagner

“…Materials and Methods: Patients with different types of cancer confirmed by histopathological study were evaluated with PET/CT with 68Ga-FAPI46 for initial staging or to detect tumor recurrence. …”
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Hybrid deep learning enables multi-institutional delineation of active bone marrow for gynecologic radiotherapy by Zhe Zhang, Xiao Lu, Sicheng He, Tao Huang, Shaobin Wang, Mingjun Lu, Xiaomin Zhang, Zhibo Tan, John Moraros, Lei Zhang, Xin Li, Zhan Li, Zihao Deng, Yimeng Zhang, Mengjie Dong, Shuihua Wang, Yajie Liu

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Wearable Loop Sensors for Knee Flexion Monitoring: Dynamic Measurements on Human Subjects by Ian Anderson, Christopher Cosma, Yingzhe Zhang, Vigyanshu Mishra, Asimina Kiourti

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Security constrained optimal power flow solution for practical transmission grid using hybrid use of generating plant and network restructuring by Bhoori Singh, Avdhesh Sharma, Akhil Ranjan Garg, Om Prakash Mahela, Baseem Khan, Ahmed Ali

“…Efficacy of the proposed study is evaluated using the computation of energy equivalent to network loss saving, percentage derating of the load (PDOL), voltage profile, bus voltage deviations, and financial analysis (FA). …”
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Bridge Deck Load Testing Using Sensors and Optical Survey Equipment by Hubo Cai, Osama Abudayyeh, Ikhlas Abdel-Qader, Upul Attanayake, Joseph Barbera, Eyad Almaita

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An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging by Leila Honari mahmod, Rahil Hosseini, Mahd Mazinani

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A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution–Pooling Method by Rui Zhang, Ranran Zhou, Zuting Zhong, Haifeng Qi, Yong Wang

“…Instead of operating convolution and pooling sequentially as in a traditional convolutional neural network (CNN), the MCP method merges pooling together with convolution layers to reduce the number of computations. To further reduce hardware resources, this work employs blockwise incremental calculation to eliminate redundant storage with computations. …”
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Development of Recurrent Neural Networks for Thermal/Electrical Analysis of Non-Residential Buildings Based on Energy Consumptions Data by Elisa Belloni, Flavia Forconi, Gabriele Maria Lozito, Martina Palermo, Michele Quercio, Francesco Riganti Fulginei

“…This approach is computationally lightweight; inference time is below 5 ms, and can be easily embedded in optimization algorithms for load dispatch or in microcontroller applications for building automation systems.…”
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Infrared Small Target Detection Using Directional Derivative Correlation Filtering and a Relative Intensity Contrast Measure by Feng Xie, Dongsheng Yang, Yao Yang, Tao Wang, Kai Zhang

“…Exploiting the distinctive characteristics of small targets in second-order derivative computations, four directional filters are designed to emphasize target features while suppressing edge clutter. …”
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