Application of Electrical Resistivity Measurements for Continuous Monitoring of the Municipal Solid Waste Biodrying Process by Bongkoch Chungam, Hiroyuki Ishimori, Soydoa Vinitnantharat, Sirintornthep Towprayoon, Chart Chiemchaisri, Komsilp Wangyao

“…While the lack of proper real-time monitoring methods hinders the optimization of the biodrying processes. …”
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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

“…These methods face challenges in scalability, interpretability, and their ability to incorporate domain-specific knowledge into analytical pipelines, limiting their utility in practical applications.MethodsTo address these gaps, we propose a novel approach combining the Dynamic Medical Graph Framework (DMGF) and the Attention-Guided Optimization Strategy (AGOS). …”
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A Novel Neural Network-Based Droop Control Strategy for Single-Phase Power Converters by Saad Belgana, Handy Fortin-Blanchette

“…This paper presents a novel adaptive droop control strategy integrating artificial neural networks and particle swarm optimization to enhance microgrid performance. Unlike prior methods that optimize artificial neural network parameters, the proposed approach uses particle swarm optimization offline to generate optimal dq−axis voltage references that compensate for line effects and load variations. …”
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A Versatile Algorithm for Autofocusing SAR Images by A. A. Monakov

“…This method has been referred as the MM optimization in scientific literature. …”
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Biomass to sustainable biofuels: A novel hybrid process integrating CO₂ CPU and high-temperature syngas for methanol/DME synthesis—4E analyses with multi-objective optimization (NS... by Mohammad Mirani, Farhad Shahraki, Mohammad reza Sardashti Birjandi, Mehdi Bayat, Asiyeh Sheikhzadeh-Takabi

“…The system innovatively integrates high-purity CO₂ (>97%) from a Compression and Purification Unit (CPU) with high-temperature syngas (∼1000°C) from biomass gasification to synthesize methanol (MeOH) and dimethyl ether (DME) as biofuels. This method creatively combines CPU-sourced CO₂ and syngas use with Rankine cycle technology, seeking to reduce reliance on fossil fuels while improving efficiency and sustainability. …”
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Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty by Yuan Ma, Yongping Li, Guohe Huang, Yuanrui Liu, Yufei Zhang

“…In this study, a novel optimization method named as multi‐level chance‐constrained fuzzy programming (MCFP) is developed to jointly manage the WEFE nexus. …”
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Dynamic Monitoring and Precision Fertilization Decision System for Agricultural Soil Nutrients Using UAV Remote Sensing and GIS by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong

“…We propose a dynamic monitoring and precision fertilization decision system for agricultural soil nutrients, integrating UAV remote sensing and GIS technologies to address the limitations of traditional soil nutrient assessment methods. The proposed method combines multi-source data fusion, including hyperspectral and multispectral UAV imagery with ground sensor data, to achieve high-resolution spatial and spectral analysis of soil nutrients. …”
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CALCULATION OF OPERATION MODE OF OUTDOOR LIGHTING LINE WITH BILATERAL SUPPLY. Part 2 by V. B. Kozlovskaya, V. N. Kalechyts

“…The most important features of outdoor lighting lines are of considerable length and the use of a large number of light sources of an average power. Under such conditions, in order to determine and maintain the optimal modes of operation of outdoor lighting networks with a bilateral supply it is necessary to choose the wire section of the line. …”
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CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability by Shiraz Afzal, Muhammad Rauf, Shahzad Ashraf, Shahrin Bin Md Ayob, Zeeshan Ahmad Arfeen

“…This study introduces a novel CART-ANOVA (Cartesian-ANOVA) hyperparameter tuning framework, which differs from traditional optimization methods by systematically integrating statistical significance testing (ANOVA) with the Cartesian product of hyperparameter values. …”
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ANALYSIS OF THERMOTECHNICAL CHARACTERISTICS OF HYDROCARBON FUEL VARIABLE COMPOSITION by E. R. Saifullin, S. A. Nazarychev, A. V. Gazeykina, Y. V. Vankov, I. V. Larionova

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Bio-Inspired Fine-Tuning for Selective Transfer Learning in Image Classification by Ana Davila, Jacinto Colan, Yasuhisa Hasegawa

“…However, discrepancies between source and target domains can hinder effective transfer learning. …”
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Costing of the breeding operations for the national maize programs in Eastern and Southern Africa by Biswanath Das, Biswanath Das, Samuel K. Mutiga, Samuel K. Mutiga, Olivia Odiyo, Olivia Odiyo, Sammy Madahana, Sammy Madahana, Dragan Milic, Dragan Milic, Lubasi Sinyinda, Kabamba Mwansa, Ronica Mukaro, Davison Chaingeni, Godfrey Asea, Daniel B. Kwemoi, Lennin Musundire, Lennin Musundire

“…Results show that the percentage of budgets allocated to germplasm development ranged from 25% (DR&SS) to 52% (NARO), with conventional methods costing 7 to 47 times more than doubled haploids. …”
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IIntegration of traditional and digital strategies development of fashion brands on marketplaces by O. G. Kariaka

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EV charging stations for sustainable urban transport electrification in the Arabian Peninsula: Performance assessment, social-economic aspects, opportunities, implementation challe... by Jamiu O. Oladigbolu, Asad Mujeeb, Mohd Bilal, Yusuf A. Al-Turki, Saleh S. Alharbi, Salah S. Alharbi

“…Comprehensive simulations and comparative analyses demonstrate that the HGWCSA achieves the lowest Levelized cost of energy (LCOE) at $0.08/kWh and the minimum Total net present cost (TNPC) of $103,267, significantly reducing CO2 emissions compared to traditional optimization methods. Furthermore, sensitivity analyses validate the optimized system’s adaptability and long-term viability across diverse operational scenarios, significantly advancing sustainable urban transport electrification strategies.…”
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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

“…An improved transformer is integrated with the RNN model and softmax to enhance classification for Android malware recognition. Finally, the snake optimizer algorithm (SOA) method is employed to select the optimum parameter for the classification method. …”
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Observer-based event triggering security load frequency control for power systems involving air conditioning loads by Xiaoming Wang, Yunlong Bai, Zhiyong Li, Wenguang Zhao, Shixing Ding

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Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

“…We introduce a novel method that reframes trajectory planning as an optimal puncture site identification problem by leveraging optical principles and computer rendering. …”
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Nitrate Nitrogen Quantification via Ultraviolet Absorbance: A Case Study in Agricultural and Horticultural Regions in Central China by Yiheng Zang, Jing Chen, Muhammad Awais, Mukhtar Iderawumi Abdulraheem, Moshood Abiodun Yusuff, Kuan Geng, Yongqi Chen, Yani Xiong, Linze Li, Yanyan Zhang, Vijaya Raghavan, Jiandong Hu, Junfeng Wu, Guoqing Zhao

“…Soil nitrate nitrogen (NO₃⁻-N) is a key indicator of agricultural non-point source pollution. The ultraviolet (UV) dual-wavelength method is widely used for NO₃⁻-N detection, but interference from complex soil organic matter affects its accuracy. …”
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MFGaussian: multi-modal data fusion based 3D Gaussian splatting for accurate and robust scene representation by Ran Yang, Yang Liu, Ruofei Zhong, Zhanying Wei, Mengbing Xu, Shuai Liu, Peng Yan

“…Subsequently, the model is fine-tuned using the original training views. This method initializes the laser point cloud as 3D Gaussian, obtains camera parameters through multi-sensor calibration and subsequent spherical interpolation, thus obtaining high-precision initial data without relying on Structure from Motion(SfM), and further ensures accurate geometric structure through the partial optimization. …”
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Preparation and Optimization of Mn²⁺-Activated Na₂ZnGeO₄ Phosphors: Insights into Precursor Selection and Microwave-Assisted Solid-State Synthesis by Xiaomeng Wang, Siyi Wei, Jiaping Zhang, Jiaren Du, Yukun Li, Ke Chen, Hengwei Lin

“…To facilitate the rapid synthesis of high-performance Mn²⁺-activated green phosphors, this research optimizes a microwave-assisted solid-state (MASS) method for the preparation of Na₂ZnGeO₄:Mn²⁺. …”
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