State of Health Estimation for Lithium-Ion Batteries Using Electrochemical Impedance Spectroscopy and a Multi-Scale Kernel Extreme Learning Machine by Jichang Peng, Ya Gao, Lei Cai, Ming Zhang, Chenghao Sun, Haitao Liu

“…A multi-scale kernel extreme learning machine (MS-KELM), optimized by the Sparrow Search Algorithm (SSA), estimates battery SOH with an average mean absolute error (MAE) of 1.37% and a root mean square error (RMSE) of 1.76%. …”
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Integrating asthma care guidelines into primary care electronic medical records: a review focused on Canadian knowledge translation tools by Matheson McFarlane, Alison Morra, M. Diane Lougheed

“…Methods The database OVID Medline was searched (1999–2024) using keywords such as asthma, KT, primary healthcare and EMRs. …”
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The Role of AI in Nursing Education and Practice: Umbrella Review by Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Fuad H Abuadas, Joel Somerville

“…A thematic synthesis approach, conducted independently by 2 reviewers, identified recurring patterns across the included reviews. ResultsThe search strategy yielded 18 eligible studies after screening 274 records. …”
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A photovoltaic power forecasting method based on the LSTM-XGBoost-EEDA-SO model by Ying Xu, Xinrong Ji, Zhengyang Zhu

“…In comparison with Particle Swarm Optimization (PSO), Sparrow Search Algorithm (SSA), and the equal-weight assignment approach for high- and low-frequency component forecasting, the proposed SO algorithm attains the lowest forecasting errors. …”
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Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

“…The attack patterns that were not anonymized or were indicative of the vulnerability of cyber-attack were denoted with yellow. …”
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Verification of temporal consistency constraints in the evolution of software for intelligent unmanned systems driven by model checking by Chaoze Lu, Chenghao Li, Chenxia Liu, Xianrui Wu, Yimin Huang

“…The algorithm performs temporal consistency checks for each state through a marking function and depth-first search, ensuring the system’s temporal consistency. …”
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PV Polaris – Automated PV System Orientation Prediction by Ernst Wittmann, Claudia Buerhop-Lutz, Savannah Bennett, Vincent Christlein, Jens Hauch, Christoph J. Brabec, Ian Marius Peters

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Travel route recommendation with a trajectory learning model by Xiangping Wu, Zheng Zhang, Wangjun Wan

“…Then, it integrates this information through neural networks to predict the next intersection. Finally, a beam search algorithm is applied to generate and recommend multiple candidate routes. …”
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism. by Meshari Alazmi, Nasir Ayub

“…Moreover, This study develops the proposed EffiXNet, a more refined version of EfficientNet augmented with self-attention mechanisms, dynamic convolutions, improved normalization methods, and Sparrow Search Optimization Algorithm for hyperparameter optimization. …”
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Diagnosis of Open and Short Circuit Intermittent Connection Faults for DeviceNet Based on Multilayer Information Fusion and Circuit Network Analysis by Longkai Wang, Yong Lei

“…Next, by mapping the fault scope to exact cable links using an undirected graph-based topology representation, the possibilities of faults occurring on every link are derived based on the mapping relationships and corresponding alarms. Finally, a search-based locating algorithm is developed using the possibility order and observed network states to pinpoint IOC and ISC faults separately. …”
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Epigenetic age and fertility timeline: testing an epigenetic clock to forecast in vitro fertilization success rate by Davide Marinello, Marco Reschini, Giorgia Di Stefano, Giorgia Carullo, Maíra Casalechi, Letizia Tarantini, Benedetta Albetti, Valentina Bollati, Paola Viganò, Edgardo Somigliana, Letizia Li Piani

“…Epigenetic age was calculated using an algorithm based on the methylation patterns of 5 specific CpG sites and derived by pyrosequencing technique (“Zbieć-Piekarska2” model). …”
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Methodology for Assessing the Impact of the Diffusion of blockchain Technologies on the Development of the National Economic system (illustrated by the example of the Russian Econo... by L. A. El’shin, V. V. Banderov, A. A. Abdukaeva

“…In this regard, today it is very relevant to a search for formalized approaches to assessing the impact of blockchain technologies on key parameters of macroeconomic generations. …”
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MODELING THE BEHAVIOR OF ENTERTAINMENT CONTENT CONSUMERS TAKING INTO ACCOUNT DIGITAL TECHNOLOGIES by Olga Zyma

“…The article develops a flowchart of the decision-making process regarding content consumption, covering motivation, algorithmic or manual search, evaluation of content characteristics, alignment with expectations, and the final decision – whether to watch or reject the content. …”
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Mapping research trends in physical education pedagogies: a bibliometric analysis using scopus database by Uray Gustian, Adang Suherman, Yusi Rika Yustiana, Megia Erida, Arief Abdul Malik, Fika Nuraini Rusmitaningsih

“…This study used a bibliometric analysis approach by examining publication growth patterns, distribution of publication growth, distribution of authors, countries, affiliations, and network analysis based on the appearance of keywords. …”
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Machine learning-driven multi-targeted drug discovery in colon cancer using biomarker signatures by Tingting Liu, Lifan Zhong, Xizhe Sun, Zhijiang He, Witiao Lv, Liyun Deng, Yanfei Chen

“…The ABF-CatBoost integration facilitates a multi-targeted therapeutic approach, addressing drug resistance by analyzing mutation patterns, adaptive resistance mechanisms, and conserved binding sites. …”
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Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review by Rongrong Zhong, XiaoHui Wu, Jun Chen, Yiru Fang

“…MethodsWe systematically searched the Scopus, IEEE Xplore, PubMed, Embase, Web of Science, and PsycINFO databases up to March 20, 2025. …”
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Forecasting Tunnel-Induced Ground Settlement: A Hybrid Deep Learning Approach and Traditional Statistical Techniques With Sensor Data by Syed Mujtaba Hussaine, Linlong Mu, Yimin Lu, Syed Sajid Hussain

“…Additionally, the statistical Autoregressive Integrated Moving Average (ARIMA)/Seasonal ARIMA (SARIMA) models were enhanced through seasonality removal, automated model selection using the auto_arima algorithm, and parameter fine-tuning via grid search to improve their predictive accuracy. …”
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Estimation and evaluation of iron reserves in the eastern area of Eileh1 mine, Razavi Khorasan province by Hamid Esmati Daroneh, Maryam Gholamzadeh

“…Variogram analysis indicated that data values varied with distance and direction, revealing geometric anisotropy within the deposit. The maximum search radius in the direction of 0° azimuth was 42.6 meters, the average search radius at 90° azimuth was 10.6 meters, and the minimum search radius in the vertical direction (0° azimuth) was 32 meters. …”
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Hybrid Long Short-Term Memory Wavelet Transform Models for Short-Term Electricity Load Forecasting by Agbassou Guenoukpati, Akuété Pierre Agbessi, Adekunlé Akim Salami, Yawo Amen Bakpo

“…This approach offers significant advantages in reducing algorithmic complexity and effectively processing patterns within the same class of data. …”
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Breast cancer is a threatening scenario resulting from the development of endometriosis and benign breast disease overlap syndrome: literature review by T.A. Lunko, O.O. Lytvynenko, A.S. Lunko, S.V. Konovalenko, A.V. Khmel

“…The purpose: using data from modern literature sources, to consider the overlap syndrome of GE and BBD as a precancerous pattern in the development of BC and outline possible steps to solve the problem. …”
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