Best Practices. Managerial Early Warning System as Best Practice for Project Selection at a Smart Factory by Tine Bertoncel, Ivan Erenda, Maja Meško

“…These factories need to develop and implement a several-stage early warning system that is specific to their industry. The aim of our study is, with the help of semi-structured group interviews, to examine which stages of a managerial early warning system are present in the case of a global innovative supplier in the automotive industry. …”
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Performance assessment of sustainable cooling strategies in canarian Greenhouses: Evaluating earth-to-air heat exchanger and rock-bed systems by Fatima Ezzahra Allali, Hicham Fatnassi, Hassan Demrati, Ahmed Wifaya, Ahmed Aharoune

“…Greenhouse cultivation plays a vital role in enhancing food security, particularly in arid and semi-arid regions. However, maintaining optimal microclimatic conditions for crop growth during the summer months poses significant challenges. …”
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Semi-crystalline design of SiB6-modified enamel coatings: Towards long-term synergistic resistance to hydrothermal corrosion by Xinchang Feng, Fangwei Guo, Wenchen Zhang, Qingfeng Zeng, Junning Li, Xiaofeng Zhao

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A hybrid unsupervised machine learning model with spectral clustering and semi-supervised support vector machine for credit risk assessment. by Tao Yu, Wei Huang, Xin Tang, Duosi Zheng

“…Thus, this paper introduces a novel hybrid unsupervised classification method, named the two-stage hybrid system with spectral clustering and semi-supervised support vector machine (TSC-SVM), which effectively addresses the unsupervised imbalance problem in credit risk assessment by targeting global optimal solutions. …”
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Root and Shoot Traits of Spring Wheat Cultivars with Wild-Type and Semi-Dwarf Rht Alleles at Early and Late Growth Stages by Hayati Akman, Philip Bruckner

“…Root and shoot traits indicated significant variability among wild-type and semi-dwarf spring wheat cultivars at those growth stages. …”
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Field-based evaluation of multi-strain PGPR to improve zea mays yield and soil nutrient dynamics in semi-arid of Türkiye by Pakize Ozlem Kurt

“…Abstract Soil fertility decline and overuse of agrochemicals threaten sustainable maize (Zea mays L.) production in semi-arid regions of Türkiye. Plant growth-promoting bacteria (PGPB) offer a biologically based alternative by enhancing nutrient uptake, root development, and soil health. …”
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Fluid Dynamics Exploration in Molten Salt Reactors: A Comprehensive Study of Draining Tank Using the Moving Particle Semi-Implicit Method by Yacobus Yulianto, Asril Pramutadi Andi Mustari, Muhammad Rizqie Arbie

“…These findings validate the use of MPS in analyzing transient liquid dynamics in MSR safety systems and provide valuable insights into reactor design optimization. …”
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Fine-grained building function recognition with street-view images and GIS map data via geometry-aware semi-supervised learning by Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong, Xiang Zhang, Conghui He, Haohuan Fu

“…In the first stage, to enable semi-supervised training with limited annotations, we employ a semi-supervised object detection model, which trains on both labeled samples and a large amount of unlabeled data simultaneously, achieving building facade detection. …”
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Achieving bifacial photovoltaic performance in PTB7-based organic solar cell by integrating transparent contact for emerging semi-transparent applications by Erman Çokduygulular, Çağlar Çetinkaya, Serkan Emik, Barış Kınacı

“…Abstract In this study, the design, fabrication and detailed analysis of semi-transparent bifacial organic solar cells (ST-OSC) based on MoO3/Ag/WO3 (10/dm/dod nm) dielectric/metal/dielectric (DMD) transparent contact system integrated with PTB7 polymer were investigated. …”
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Interpretable Machine Learning for Multi-Crop Yield Prediction in Semi-Arid Regions: A Hierarchical Approach to Handle Climate Data Sparsity by Rachid Ed-daoudi, M’barek El Haloui

“…This work represents a novel unified framework combining imputation, temporal modeling, and crop-specific interpretability for semi-arid systems, going beyond black-box models or single-crop approaches. …”
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A semi-empirical relation based on temperature difference and filling ratio in a closed loop pulsating heat pipe: A numerical study. by Vasanth Balamurugan, Shahid Mian P, Md Jahid Hasan, Natteri M Sudharsan

“…A closed-loop pulsating heat pipe (CLPHP) is an attractive passive cooling system for electronic components. The design of CLPHP is challenging due to the complex nature of thermo-hydrodynamic coupling. …”
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Unveiling pore size contributions and host-guest interactions in methane adsorption under varying pressure conditions: a semi-empirical adsorption model by Jong-Hoon Lee, Jaewoon Lee, Duho Kim, Seul-Yi Lee, Soo-Jin Park

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Dimensionamento de sistema de microirrigação através de programação não linear considerando-se diferentes demandas hídricas Microirrigation system design through non linear program... by Kennedy F. M. Lucena, Carlos de O. Galvão, Heber P. Gomes

“…The results evidenced that in semi-arid climate areas, as Iguatu, there are not important differences in the design system with the demands obtained through the annual or monthly water balances. …”
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Optimizing Artificial Neural Networks with Particle Swarm Optimization for Accurate Prediction of Insulator Flashover Voltage Under Dry and Rainy Conditions by Abdelhalim Mahdjoubi, lazreg taibaoui, Boubakeur Zegnini

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Effects of position of semi-circular body on melting of a novel B4C/RT44HC PCM nanocomposite in a closed space by Ezgi Gurgenc, Muhammed Gur, Hakan Cosanay, Turan Gurgenc, Hakan F. Oztop

“…This study focuses on optimizing the thermal performance of a novel Boron Carbide (B4C) enhanced RT44HC phase change material (PCM) nanocomposite by analyzing the effects of different semi-circular partition placements within a closed cavity. …”
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Performance optimization on RIS-assisted communication for anti-jamming by LI Yapeng, MA Junyu, LI Qiang, GE Xiaohu

“…By decomposing the original high-dimensional, multi-variable and strongly coupled non-convex fractional programming problem into multiple sub-problems, and then transforming each non-convex sub-problem into a solvable convex optimization problem through methods such as multi-dimensional complex quadratic transformation and semi-definite relaxation, the solution was obtained efficiently. …”
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Memory-optimized distributed utility mining for big data by Sunil kumar, Krishna Kumar Mohbey

“…However, these approaches are limited to data size and operate on standalone systems. We have proposed a parallel approach named distributed memory-optimized utility mining (DMOUM) for high utility-based frequent pattern mining to address this issue. …”
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Optimizing crop management to boost maize production using modeling approach by Seyedreza Amiri, Nader Zakeri, Tayebeh Yousefi

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Mamba-based super-resolution and semi-supervised YOLOv10 for freshwater mussel detection using acoustic video camera: A case study at Lake Izunuma, Japan by Fan Zhao, Decong Xu, Zhiyan Ren, Xinlei Shao, Qingyang Wu, Yongying Liu, Jiaqi Wang, Jian Song, Yijia Chen, Guochen Zhang, Yasufumi Fujimoto, Tetsuo Shimada, Katsunori Mizuno

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Phenological Assessment of Hops (<i>Humulus lupulus</i> L.) Grown in Semi-Arid and Subtropical Climates Through BBCH Scale and a Thermal-Based Growth Model by Shinsuke Agehara, Alessandra Carrubba, Mauro Sarno, Roberto Marceddu

“…The BBCH scale (“Biologische Bundesanstalt, Bundessortenamt, and CHemical industry”) has become one of the primary classification systems for documenting the growth and developmental stages of many plant species. …”
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