Final weight prediction from body measurements in Kıvırcık lambs using data mining algorithms by Ö. Şengül, Ş. Çelik

“…With this, the best-fitted MARS model was chosen using cross-validation and user-defined parameter optimization. …”
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Association of HLA-DRA expression with prognosis and tumor microenvironment in clear cell renal cell carcinoma by Shu-Xin Qu, Xiang Wang, Wan-Ru Han, Yu-Chen Ge, Bei Feng, Hai-Ying Guo, Xiao-Chen Sun, Kai Wang, Rui Cui

“…Immunohistochemical staining and H-Score analysis were performed to evaluate HLA-DRA expression and its association with clinicopathological features and prognosis. …”
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Texture Analysis of T2-Weighted Images as Reliable Biomarker of Chronic Kidney Disease Microstructural State by Marcin Majos, Artur Klepaczko, Katarzyna Szychowska, Ludomir Stefanczyk, Ilona Kurnatowska

“…<b>Methods</b>: MRI examinations were performed on healthy volunteers (group 1, N = 14) and CKD patients who also received kidney biopsy. …”
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Research on hybrid strategy Particle Swarm Optimization algorithm and its applications by Jicheng Yao, Xiaonan Luo, Fang Li, Ji Li, Jundi Dou, Hongtai Luo

“…Additionally, HSPSO is applied to feature selection for the UCI Arrhythmia dataset, resulting in a high-accuracy classification model that outperforms traditional methods. …”
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A multi-modal transformer for predicting global minimum adsorption energy by Junwu Chen, Xu Huang, Cheng Hua, Yulian He, Philippe Schwaller

“…Additionally, uncertainty quantification was integrated into our models to enhance the trustworthiness of the predictions.…”
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A Novel Method for Community Detection in Bipartite Networks by Ali Khosrozadeh, Ali Movaghar, Mohammad Mehdi Gilanian Sadeghi, Hamidreza Mahyar

“…The community structure is a major feature of bipartite networks, which serve as a typical model for empirical networks consisting of two kinds of nodes. …”
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Providing contexts for classification of transients in a wide-area sky survey: An application of noise-induced cluster ensemble by Tossapon Boongoen, Natthakan Iam-On, James Mullaney

“…This paper presents a context generation framework to complement the previously proposed model. In particular, samples are clustered to form data contexts to which different learning strategies may be applied. …”
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Accurate identification of locally aneuploid cells by incorporating cytogenetic information in single cell data analysis by Ziyi Li, Ruoxing Li, Irene Ganan-Gomez, Hussein A. Abbas, Guillermo Garcia-Manero, Wei Sun

“…PartCNVH further improves partCNV by integrating a hidden Markov model for feature selection. We have thoroughly evaluated the performance of partCNV and partCNVH through simulation studies and real data analysis using three scRNA-seq datasets from blood cancer patients. …”
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Atlas-based quantification of cardiac remodeling due to myocardial infarction. by Xingyu Zhang, Brett R Cowan, David A Bluemke, J Paul Finn, Carissa G Fonseca, Alan H Kadish, Daniel C Lee, Joao A C Lima, Avan Suinesiaputra, Alistair A Young, Pau Medrano-Gracia

“…Finite element models were customized to the spatio-temporal shape and function of each case using guide-point modeling. …”
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A Method of Reducing Flight Delay by Exploring Internal Mechanism of Flight Delays by Yakun Cao, Chenping Zhu, Yanjun Wang, Qingyun Li

“…From the statistical results, we find that the distribution of the flight departure delay caused by only NPF exhibits obvious power law (PL) feature, which can be explained by queuing model, while the original distribution of flight departure delay follows the shift power law (SPL). …”
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A Study on Small-Scale Snake Image Classification Based on Improved SimCLR by Lingyan Li, Ruiqing Kang, Wenjie Huang, Wenhui Feng

“…Experimental results on a self-constructed dataset demonstrate that the proposed model achieves a recognition accuracy of 97.5%, outperforming existing baseline models. …”
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Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks by Amarudin Daulay, Kalamullah Ramli, Ruki Harwahyu, Taufik Hidayat, Bernardi Pranggono

“…By preserving patient data privacy at the edge, FedGCL enhances system resilience without sacrificing model performance. These results indicate FedGCL’s promise as a secure, efficient, and fair federated malware detection solution for IoMT ecosystems.…”
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Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum). by Rajermani Thinakaran, Ecenur Korkmaz, Başak Ünver, Seyid Amjad Ali, Zeshan Iqbal, Muhammad Aasim

“…However, all other models also faced challenges with high error rates, indicating the need for improved feature engineering. …”
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Assaying Traffic Settings with Connected and Automated Mobility Channeled into Road Intersection Design by Maria Luisa Tumminello, Nazanin Zare, Elżbieta Macioszek, Anna Granà

“…This paper presents a microsimulation-driven framework to analyze the performance of connected and automated vehicles (CAVs) alongside vehicles with human drivers (VHDs), channeled towards assessing project alternatives in road intersection design. …”
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A hybrid deep learning and differential evolution approach for accurate fake news detection by Shailendra Pratap Singh, Naween Kumar, Gyanendra Kumar, Ahamed Shafeeq B.M.

“…The proposed framework integrates Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and attention mechanisms for robust feature extraction and classification. By leveraging DE optimization, the model fine-tunes its parameters for improved convergence and detection performance. …”
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Obesity Status Prediction Through Artificial Intelligence and Balanced Label Distribution Using SMOTE by Arif Riyandi, Mahazam Afrad, M Yoka Fathoni, Yogo Dwi Prasetyo

“…The results demonstrate that SMOTE significantly enhanced the models' performance, especially in recall and F1-score for minority classes, such as obesity. …”
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Reliability-Based Geotechnical Design Method Using the Gaussian Process Regression–Based Differential Evolution Algorithm by Kai Wen, Zemin Kuang, Wei Zeng, Sanyou Zeng, Yue Qiu

“…Here, GPR serves as a surrogate model to estimate the actual performance derived from MCS assessments. …”
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An Optimal Multi-Zone Fast-Charging System Architecture for MW-Scale EV Charging Sites by Sai Bhargava Althurthi, Kaushik Rajashekara

“…The system efficiency and total power converter capacity requirements of the proposed architecture are evaluated and compared with those of other EVFS models. A major feature of the proposed design is its multi-zone division and zonal isolation capabilities, which are not present in conventional EVFS architectures. …”
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GMFLDA: Improved Prediction of lncRNA-Disease Association via Graph Convolutional Network by Kwangsu Kim, Jihwan Ha

“…Our model exhibits outstanding predictive performance, achieving AUCs of 0.9183 and 0.9057 in leave-one-out and five-fold cross-validation experiments, respectively. …”
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Motion-based technology uses sensors and the internet of things to support badminton motor skills examination by Sigit Nugroho, Anton Komaini, Muhammad Wahyu Arga, Fadli Ihsan, Rezha Arzhan Hidayat, Slamet Raharjo, Agus Rusdiana

“…Methods: This Research and Development (R&D) study follows a 4D model (Define, Design, Develop, Disseminate). The define stage includes needs analysis through field observation and literature review. …”
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