Aspect-Based Sentiment Analysis on User Perceptions of OVO using Latent Dirichlet Allocation and Support Vector Machine by Eka Fahira Aprilia, Amalia Anjani Arifiyanti, Nambi Sembilu

“…The best-performing model, using a Linear kernel without ML-SMOTE, achieved a macro-average precision of 0.843, recall of 0.786, and F1-Score of 0.804. …”
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Innovative approaches to beam forming antenna array systems with adaptive Partial Update NLMS algorithms by Zahraa A. Shubber, Thamer M. Jamel, Ali.K. Nahar

“…Improvements in interference cancellation, energy economy, spectrum efficiency, and system security are among the most pressing needs for today's wireless networks. …”
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Circular economy strategies in supply chain management: an evaluation framework for airport operators by Maria Sartzetaki, Triantafyllia Karampini, Aristi Karagkouni, Evaggelos Drimpetas, Dimitrios Dimitriou

“…The transition from linear to circular economic systems represents a critical step towards achieving global sustainability goals. …”
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CALCULATION AND OPTIMIZATION OF FORCE AND POWER ON AUTONOMOUS SURFACE VEHICLE (ASV) AS MEANS OF MARINE ACCIDENT RESCUE by Teguh Herlambang, Hendro Nurhadi

“…The ASV linear model made from linearization has the properties of a controllable and observable, so this model can be applied to navigation and control systems.…”
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A Comparative Study of Two-Stage Intrusion Detection Using Modern Machine Learning Approaches on the CSE-CIC-IDS2018 Dataset by Isuru Udayangani Hewapathirana

“…The SAE approach leverages an autoencoder to learn non-linear, data-driven feature representations. In contrast, the ASpark approach uses principal component analysis (PCA) to reduce dimensionality and retain 95% of the data variance. …”
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A 79 GHz SiGe Doherty Power Amplifier Suitable for Next-Generation Automotive Radar by Jan Schoepfel, Tobias T. Braun, Julia Hellwig, Holger Rucker, Nils Pohl

“…Therefore, conventional amplifiers have to be operated in power back-off to maintain linear operation at the drawback of reduced power-added efficiency. …”
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Spatial and Spectral Structure-Aware Mamba Network for Hyperspectral Image Classification by Jie Zhang, Ming Sun, Sheng Chang

“…Recently, a network based on selective state space models (SSMs), Mamba, has emerged as a research focus in hyperspectral image (HSI) classification due to its linear computational complexity and strong long-range dependency modeling capability. …”
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Codon usage modulates the relationship between the burden and yield of protein overexpression by Cameron T. Roots, Alexis M. Hill, Claus O. Wilke, Jeffrey E. Barrick

“…To improve translational efficiency, researchers often modify codon usage in an exogenous gene to more closely match the composition of a host organism’s highly expressed genes. …”
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Comprehensive Analysis of Trends in Ocean Surface Current by Delineating Kuroshio Extent Using an Optimized Segmentation Algorithm by Mohammed Abdul Athick A.S., Shih-Yu Lee, Chian-Yi Liu

“…Ensemble Empirical Mode Decomposition (EEMD) and Seasonal Trend Loess (STL) have similar levels of efficiency. Breaks for Additive Season and Trend (BFAST) is designed for a linear trend, while EEMD is suitable for a general trend. …”
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Influence of Different Strength Training Protocol on Breaststroke Performance in Competitive Swimmers by Nimrot Manalu, Syarifah Fathynah SS, Ivan Reano Panjaitan, Alifian Dwi Putra Situmorang, Deo Rivaldi, Muhammad Farhan Tumanggor

“…Performance metrics, physiological adaptations, and biomechanical parameters were analyzed using mixed-effects linear models and Cohen’s d to determine effect sizes. …”
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Evaluating adequacy of corn nitrogen recommendations in long term cover cropping systems by Sapana Pokhrel, Wade E. Thomason, Amy L. Shober, Rory O. Maguire

“…Abstract Achieving optimum nitrogen (N) use efficiency in corn (Zea mays L.) production is challenging. …”
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Optimizing Rural MG’s Performance: A Scenario-Based Approach Using an Improved Multi-Objective Crow Search Algorithm Considering Uncertainty by Mohammad Hossein Taabodi, Taher Niknam, Seyed Mohammad Sharifhosseini, Habib Asadi Aghajari, Seyyed Mohammad Bornapour, Ehsan Sheybani, Giti Javidi

“…IMOCSA enhances the standard Crow Search Algorithm through three key improvements: an adaptive chaotic awareness probability to better balance exploration and exploitation, a mutation mechanism applied to the solution repository to prevent premature convergence, and a K-means clustering method to control repository size and increase algorithmic efficiency. Since the proposed problem is a multi-objective non-linear optimization problem with conflicting objectives, the idea of the Pareto front is used to find a group of optimal solutions. …”
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AI simulation models for diagnosing disabilities in smart electrical prosthetics using bipolar fuzzy decision making based on choquet integral by Ubaid ur Rehman, Meraj Ali Khan, Osamah AbdulAziz Aldayel, Tahir Mahmood

“…Current literature lacks the selection and evaluation of AI simulation models that consider both bipolarity and uncertainty of the criteria, while prevailing Choquet integral aggregation operators despite their strong capabilities for handling information relationships, fail to efficiently process bipolar fuzzy information. The existence of this limitation makes it challenging to identify element interactions and non-linear relationships in uncertain environments containing both positive and negative aspects. …”
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MSKd_Net: Multi-Head Attention-Based Swin Transformer for Kidney Diseases Classification by H. Sharen, Modigari Narendra, L. Jani Anbarasi

“…The Swin Transformer features are fused additively with the convolved model enhanced with multi-head attention layer features and fed to linear layers to classify the input such as cyst, stone, tumor, and normal. …”
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A Robust Longitudinal Control Strategy of Platoons under Model Uncertainties and Time Delays by Na Chen, Meng Wang, Tom Alkim, Bart van Arem

“…Automated vehicles are designed to free drivers from driving tasks and are expected to improve traffic safety and efficiency when connected via vehicle-to-vehicle communication, that is, connected automated vehicles (CAVs). …”
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DEVELOPMENT OF A NEW GENERATION OF TORNUM REX MINING GRAIN DRYERS AND THEIR DESIGN METHODS by V. Fitsyk

“…In recent years, the mixed-flow dryer has been the subject of many studies on drying efficiency, dryer control and productivity improvement. …”
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Interaction of daytime and nighttime light exposure on objective sleep quality in patients with bipolar disorder: a cross-sectional analysis of the APPLE cohort by Yuichi Esaki, Kenji Obayashi, Keigo Saeki, Kiyoshi Fujita, Nakao Iwata, Jamie M. Zeitzer, Tsuyoshi Kitajima

“…The median values of daytime illuminance and nighttime illuminance were 221.8 lux (interquartile range: 150.9–306.9 lux) and 2.3 lux (0.3–9.6 lux), respectively. Multivariable linear regression analyses, adjusting for potential confounders, revealed a significant association between greater daytime illuminance and higher sleep efficiency as well as shorter sleep onset latency and wake after sleep onset. …”
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Recent technical advancements and clinical applications of MR-guided radiotherapy in lung cancer treatment by Chi Ma, Xiao Wang, Ke Nie, Zhenyu Xiong, Keying Xu, Ning Yue, Yin Zhang

“…Magnetic resonance-guided radiotherapy (MRgRT) represents a significant advancement in lung cancer treatment, integrating non-ionizing high-resolution magnetic resonance imaging (MRI) with linear accelerators to enable real-time tumor visualization and adaptive treatment planning. …”
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Sensitive Detection of Biomarker in Gingival Crevicular Fluid Based on Enhanced Electrochemiluminescence by Nanochannel-Confined Co₃O₄ Nanocatalyst by Changfeng Zhu, Yujiao Zhao, Jiyang Liu

“…However, luminol’s low ECL efficiency under neutral conditions remains a challenge. …”
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Exposure to a mixture of arsenic species and growth indicators in 6–12-year-old children from the cycles 2007–2020 NHANES by Miguel García-Villarino, Rocío Fernández-Iglesias, Ana Victoria García, Elsa Villa-Fernández, Lucía Fernández-Arce, Isolina Riaño-Galán, Carmen Lambert, Vicente Martín, Margaret R. Karagas, Elías Delgado-Álvarez, Ana Fernández-Somoano, Antonio J. Signes-Pastor

“…Linear regression and BKMR models were applied to identify adverse effects, nonlinear associations, interactions, and combined effects. …”
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