OSBF: One-Sided Box Filter for Edge-Preserving Image Processing by Yuanhao Gong

“…Such selection imposes the non-linearity, which preserves the edges and corners. Several numerical experiments are conducted to confirm this edge-preserving property. …”
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Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city by Xuechun Zhou, Xiaofei Zou, Wenzuixiong Xiong

“…Green space improvements drive a 73% increase in economic efficiency by improving residents' health and extending life expectancy. …”
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Strategic Electric Vehicle Charging in Community Microgrids: Enhancing Grid Stability, Reducing Emissions, and Optimizing Costs by Divya Mathur, Neeraj Kanwar, Sunil Kumar Goyal

“…The model optimizes charging schedules using mixed-integer linear programming (MILP) to achieve economic efficiency and emission reduction, comparing the effectiveness of each charging strategy within real-time grid conditions. …”
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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…The results demonstrate the power of advanced machine learning methods, particularly CatBoost and SVR, in predicting CO2 adsorption and offer valuable insights for industrial applications and future research efforts aimed at enhancing adsorption efficiency.…”
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Comparison of regression methods for modeling intensive care length of stay. by Ilona W M Verburg, Nicolette F de Keizer, Evert de Jonge, Niels Peek

“…ICU Length of Stay (LoS) could be seen as an indicator for efficiency of care. However, little consensus exists on which prognostic method should be used to adjust ICU LoS for case-mix factors. …”
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Predictive modelling of hexagonal boron nitride nanosheets yield through machine and deep learning: An ultrasonic exfoliation parametric evaluation by Jerrin Joy Varughese, Sreekanth M․S․

“…A systematic and comprehensive approach for efficiently exfoliating bulk hBN into hexagonal boron nitride nanosheets (hBNNs) via ultrasonication-assisted liquid-phase exfoliation (UALPE) is presented in this investigation. …”
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MetaStackD A robust meta learning based deep ensemble model for prediction of sensors battery life in IoE environment by D. Gayathri, S. P. Shantharajah

“…The battery life of the sensors limits their efficiency in operation. The mechanism for analyzing the Remaining Battery Life (RBL) plays a major role in optimizing the network performance, thereby ensuring the reliability and availability of data throughout. …”
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Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance by Ziyuan Zhong, Junyang Zhou

“…For each subarea, there will be the same type of model, such as linear or random forest model, to predict the results of that subareas. …”
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A Complete Circuit Model for Terahertz Spoof Surface Plasmon Polariton Waveguides for Ultrafast and Accurate Synthesis of Terahertz Integrated Circuits by Muhammed Abdullah Unutmaz, Korkut Kaan Tokgoz, Mehmet Unlu

“…Operation in the terahertz band requires ultra-high efficiency for all the building blocks in ICs; however, the conventional passive components prevent achieving desired output power levels. …”
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How does the digital economy impact green manufacturing: A new perspective from the construction of a unified large market in China by Chenchen Wang, Yaobin Liu, Xuewen Liu, Haibo Xia

“…Results indicate that DEC significantly enhances GTUM. Relative to the efficiency aspects of GTUM, the impact of DEC is more pronounced on energy consumption and environmental protection. …”
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Novel Amperometric Sensor Based on Glassy Graphene for Flow Injection Analysis by Ramtin Eghbal Shabgahi, Alexander Minkow, Michael Wild, Dietmar Kissinger, Alberto Pasquarelli

“…FIA with amperometric detection showed a linear electrochemical response to adrenaline in the 3–300 µM range, achieving a low detection limit of 1.05 µM and a high sensitivity of 1.02 µA cm⁻²/µM. …”
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Guiding the Unseen: A Systems Model of Prompt-Driven Agency Dynamics in Generative AI-Enabled VR Serious Game Design by Chenhan Jiang, Shengyu Huang, Tao Shen

“…Tool-based prompts reinforced boundary control through short linear refinements; collaborative prompts sustained moderate iterative enquiry cycles; mentor-like prompts triggered divergent exploration via self-loops and frequent jumps. …”
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Circular shifts: insights into kazakhstan’s circular business ecosystem by Nurlyaiym Zhaksybayeva, Aisara. Serikkyzy, Asem. Baktymbet, Shumaila Yousafzai

“…The circular economy, with principles of reduce, reuse, recycle, and recover, offers a transformative alternative to the linear ‘take-make-waste’ model by promoting resource efficiency and waste minimization. …”
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Intrusion Detection Using Machine Learning for Risk Mitigation in IoT-Enabled Smart Irrigation in Smart Farming by Abhishek Raghuvanshi, Umesh Kumar Singh, Guna Sekhar Sajja, Harikumar Pallathadka, Evans Asenso, Mustafa Kamal, Abha Singh, Khongdet Phasinam

“…Then, machine learning algorithms such as support vector machine, linear regression, and random forest are used to classify preprocessed data set. …”
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Penalty Strategies in Semiparametric Regression Models by Ayuba Jack Alhassan, S. Ejaz Ahmed, Dursun Aydin, Ersin Yilmaz

“…This study includes a comprehensive evaluation of six penalty estimation strategies for partially linear models (PLRMs), focusing on their performance in the presence of multicollinearity and their ability to handle both parametric and nonparametric components. …”
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Reconstructing higher-resolution four-dimensional time-varying volumetric data by Ji Ma, Jinjin Chen

“…To demonstrate its advantages, we compared it qualitatively and quantitatively with five state-of-the-art super-resolution techniques, namely SSR-TVD, Tricubic, SRResNet, Cubic, and Linear. Furthermore, we conducted an ablation study to validate its important modules. …”
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On Combining Different Acceleration Techniques at the Iterative Solution of PDEs by the Method of Collocations and Least Residuals by Vasily P. Shapeev, Evgenii V. Vorozhtsov

“…It is proposed to find the optimal values of its parameters by the numerical solution of a computationally inexpensive problem of minimizing the condition number of the system of linear algebraic equations. The problem is solved by the CLR method and it is modified by the preconditioner. …”
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TEMPERATURE AND PRECIPITATION AS PREDICTORS OF SPECIES RICHNESS IN NORTHERN ANDEAN AMPHIBIANS FROM COLOMBIA by Ortiz-Yusty Carlos Eduardo, Páez Vivian, Zapata Fernando

“…We explored the</div><div>relationship between species richness and environment using two global regression</div><div>models (the Ordinary Least Squares “OLS” and Generalized Linear Squares</div><div>“GLS” models) and one local model (the Geographically Weighted Regression</div><div>“GWR” model). …”
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Forecasting formation density from well logging data based on machine learning model by Xiankang Cheng, Haoyu Zhang, Haoyu Zhang

“…The CNN-Transformer model also includes the novel S-shaped Rectified Linear Activation Unit (S-ReLU) function. Based on the counting rates of the detector’s energy windows, the Pearson correlation coefficient method is applied for feature selection. …”
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ADMINISTRATION AND MARKETING OF ANTI-CRISIS MANAGEMENT AT THE DAIRY PLANT AS A STRATEGIC OBJECT DURING THE WARTIME by Natalia Koval, Oksana Kubai, Natalia Germaniuk

“…The constructed model of paired linear regression confirmed the positive relationship between production volume and net profit, thereby indicating the efficiency of business scaling. …”
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