Enhancing Kalman Filter Performance: Design and Estimation with Fading-Memory Kalman Filter for Reduced Modeling Error and Improved Robustness by Jalil Manafian, Mehdi Fazli, Onur Alp Ilhan, Somaye Malmir, Sukaina Tuama Ghafel

“…The Kalman filter is a widely employed algorithm for state estimation and sensor fusion in various fields. …”
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A Panel of Blood Biomarkers for the Diagnosis of Transient Ischemic Attacks by Daisy Guamán-Pilco, Elena Palà, Marcel Lamana-Vallverdú, Anna Penalba, Paula García-Rodríguez, Marta Rubiera, Alejandro Bustamante, Soledad Pérez-Sánchez, Joan Montaner

“…We compared the groups, examined the effects of the biomarkers via logistic regression, compared models with likelihood ratio tests, assessed predictive accuracy with receiver operating characteristic analysis, and optimized cutoff values with the PanelomiX algorithm. …”
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Effect of Voltage Dependent Load Model on Placement and Sizing of Distributed Generator in Large Scale Distribution System by Gopisetti Manikanta, Ashish Mani, Hemender Pal Singh, Devendra Kumar Chaturvedi

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Wind Turbine Performance in Controlled Conditions: BEM Modeling and Comparison with Experimental Results by David A. Johnson, Mingyao Gu, Brian Gaunt

“…Predictions of the performance of operating wind turbines are challenging for many reasons including the unsteadiness of the wind and uncertainties in blade aerodynamic behaviour. …”
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Lightweight UAV Detection Method Based on IASL-YOLO by Huaiyu Yang, Bo Liang, Song Feng, Ji Jiang, Ao Fang, Chunyun Li

“…Second, we introduce the SIoU loss function to address the orientation mismatch issue between predicted and ground truth bounding boxes. Finally, we employ the LAMP pruning algorithm to compress the model. …”
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An analytical examination of the performance assessment of CNN-LSTM architectures for state-of-health evaluation of lithium-ion batteries by Arun Jose, Sonam Shrivastava

“…The results of this study contribute to the advancement of more dependable and effective battery health monitoring systems, advancing the domain of battery management and predictive upkeep…”
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In silico and ex vivo approaches indicate immune pressure on capsid and non-capsid regions of coxsackie B viruses in the human system. by Rhiannon Kundu, Robin Knight, Meenakshi Dunga, Mark Peakman

“…To address this knowledge gap, we augmented conventional HLA-binding predictive algorithm-based epitope discovery by cross-referencing epitopes with sites of positive natural selection within the CBV3 viral genome, identified using mixed effects models of evolution. …”
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Tumor Intrinsic Immunogenicity Suppressor SETDB1 Worsens the Prognosis of Patients with Hepatocellular Carcinoma by Chang-Qing Yin, Chun-Qing Song

“…In conclusion, the upregulation of SETDB1 is associated with a poorer prognosis in HCC patients and inversely correlates with immune cell infiltration, potentially serving as a predictive marker for immunotherapy response.…”
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Physics-based Forecasting of Tomorrow’s Solar Wind at 1 au by Igor V. Sokolov, Tamas I. Gombosi

“…We derive the modified governing equations for both hydrodynamics and magnetohydrodynamics and present a new numerical algorithm that solves the modified governing equations. …”
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Face Identification Based on K-Nearest Neighbor by Ni Kadek Ayu Wirdiani, Praba Hridayami, Ni Putu Ayu Widiari, Komang Diva Rismawan, Putu Bagus Candradinata, I Putu Deva Jayantha

“…The K-Nearest Neighbor algorithm uses neighborhood classification as the predictive value of a good instance value. …”
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Credit Rating Model Based on Improved TabNet by Shijie Wang, Xueyong Zhang

“…Under the rapid evolution of financial technology, traditional credit risk management paradigms relying on expert experience and singular algorithmic architectures have proven inadequate in addressing complex decision-making demands arising from dynamically correlated multidimensional risk factors and heterogeneous data fusion. …”
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Artificial Intelligence for Financial Accountability and Governance in the Public Sector: Strategic Opportunities and Challenges by Ceray Aldemir, Tuğba Uçma Uysal

“…The study reveals that AI-driven solutions such as predictive analytics, fraud detection systems, and automated reporting significantly improve operational efficiency, transparency, and decision making. …”
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Machine learning approach for studying the neural underpinnings of dyslexia on a phonological awareness task by Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou

“…Results showed that the proposed phoneme-related neural-congruency components are predictive about the underlying neuronal differences amongst groups. …”
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Application of “high-fidelity and high-resolution” processing technology in thin reservoir identification: A case study of the deep Permian Maokou Formation in Penglai area, centra... by PENG Haotian, HE Qinglin, CHEN Kang, ZENG Ming, HE Zongqiang, TU Zhihui, KONG Lingxia, QU Bozhang

“…However, due to characteristics such as deep burial, thin reservoirs, strong heterogeneity, minimal impedance contrast with surrounding rocks, and weak reflection signals, seismic prediction becomes challenging. Conventional frequency enhancement processing either fails to identify thin reservoirs or results in a large area of coherent seismic events, making seismic prediction of thin reservoirs in this region difficult. …”
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Machine learning technique-based four-autoantibody test for early detection of esophageal squamous cell carcinoma: a multicenter, retrospective study with a nested case–control stu... by Yi-Wei Xu, Yu-Hui Peng, Can-Tong Liu, Hao Chen, Ling-Yu Chu, Hai-Lu Chen, Zhi-Yong Wu, Wen-Qiang Wei, Li-Yan Xu, Fang-Cai Wu, En-Min Li

“…Then, we validated the ability of plsRglm model in predicting preclinical ESCC by a nested case–control study (24 preclinical ESCCs and 112 matched controls) within a population-based prospective cohort study. …”
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Imbalanced feature generation based on bootstrap power spectral curve for estimating respiratory rate by Soojeong Lee, Gyanendra Prasad Joshi, Gangseong Lee

“…Therefore, BIFG can be efficiently trained to predict the complex nonlinear relationships between the feature vectors obtained from the photoplethysmography signals and the reference RR. …”
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Effectiveness evaluation of the complex medical and psychological method of treating patients with insomnia by A. V. Vasil'eva, T. A. Karavaeva, Yu. P. Kolesova, D. S. Radionov, D. A. Starunskaya, M. V. Fomicheva, S. M. Abdullaeva

“…The quantitative evaluation of the effectiveness of the method was carried out on seven indicators: (1) Improvement in the subjective characteristics of sleep, (2) Improvement in the quality of sleep, (3) Reduction of the insomnia severity index, (4) Reduction of daytime sleepiness, (5) Reduction of the consequences of sleep disorders, (6) Decreased anxiety, (7) Improved overall clinical impression. …”
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Research on Joint Optimization of Reserve and Dispatching for Multivariety Emergency Materials Based on NSGA-II by Xi Zhu, Kai Yao, Aiqiang Guo, Tianpeng Li, Weiyi Wu, Xinbao Gao

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Molecular sub-classification of renal epithelial tumors using meta-analysis of gene expression microarrays. by Thomas Sanford, Paul H Chung, Ariel Reinish, Vladimir Valera, Ramaprasad Srinivasan, W Marston Linehan, Gennady Bratslavsky

“…The lists of genes obtained from the meta-analysis were used to create predictive signatures through the use of a pair-based method. …”
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A biphasic locomotor response to acute unsignaled high temperature exposure in Drosophila. by Daniela Ostrowski, Autoosa Salari, Melissa Zars, Troy Zars

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