Evaluating Expert Opinion-Based Reservoir Operation in Cfa/Csa Climatic Conditions by Mahdi Sedighkia, Bithin Datta

“…The incorporation of expert opinions provides a practical, robust, and efficient framework for reservoir management in challenging climate conditions such as Cfa/Csa classes. …”
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A Comparative Study of Machine Learning Models for Short-Term Load Forecasting by Etna Vianita, Henri Tantyoko

“…Short-Term Load Forecasting (STLF) was a critical task in power system operations, enabling efficient energy management and planning. This study presented a comparative analysis of five machine learning models namely XGBoost, Random Forest, Multi-Layer Perceptron (MLP), Support Vector Regression (SVR), and LightGBM using real-world electricity demand data collected over a four-month period. …”
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Deep Learning-Based Classification of Canine Cataracts from Ocular B-Mode Ultrasound Images by Sanghyeon Park, Seokmin Go, Seonhyo Kim, Jaeho Shim

“…A dataset of 3155 ultrasound images (comprising 1329 No cataract, 614 Cortical, 1033 Mature, and 179 Hypermature cases) was used to train and validate four widely used deep learning models (AlexNet, EfficientNetB3, ResNet50, and DenseNet161). Data augmentation and normalization techniques were applied to address category imbalance. …”
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Proprioceptive and Exteroceptive Information Perception in a Fabric Soft Robotic Arm via Physical Reservoir Computing with Minimal Training Data by Jun Wang, Zhi Qiao, Wenlong Zhang, Suyi Li

“…Over recent decades, soft and reconfigurable robots have rapidly emerged thanks to their ability to interact safely with humans and adapt to complex environments. . …”
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Utilization of Schizophyllum commune for the biodegradation of chlorhexidine gluconate and Benzalkonium chloride: an innovative approach to environmental remediation by Joel Augustine, Jayanthi Abraham

“…Consequently, it is crucial to develop an efficient approach to reduce or remove this contaminant from the surroundings. …”
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Digital Assistant for Medical Management by Maria-Dana-Ștefania CÂMPAN

“…Each platform was evaluated based on its functionalities, accessibility, and ability to provide efficient medical management. The results show that Regina Maria’s application focuses on appointment scheduling and access to medical information related to its clinics, also offering an educational section. …”
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J-aggregates of amphiphilic cyanine dyes: Self-organization of artificial light harvesting complexes by Stefan Kirstein, Siegfried Daehne

“…These aggregates carry the outstanding optical properties of J-aggregates, namely, efficient exciton coupling and fast exciton energy migration, which are essential for the build up of artificial light harvesting systems. …”
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DNA extraction replicates improve diversity and compositional dissimilarity in metabarcoding of eukaryotes in marine sediments. by Anders Lanzén, Katrine Lekang, Inge Jonassen, Eric M Thompson, Christofer Troedsson

“…DNA metabarcoding offers an alternative to this approach and enables a larger fraction of the biodiversity in marine sediments to be monitored in a cost-efficient manner. Although this methodology remains poorly standardised and challenged by biases inherent to rRNA copy number variation, DNA extraction, PCR, and limitations related to taxonomic identification, it has been shown to be semi-quantitative and useful for comparing taxon abundances between samples. …”
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Sample Inflation Interpolation for Consistency Regularization in Remote Sensing Change Detection by Zuo Jiang, Haobo Chen, Yi Tang

“…To address this issue, we introduce a simple yet efficient method called Sample Inflation Interpolation (SII). …”
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Targeting the Xylella fastidiosa spittlebug vector Neophilaenus campestris in the olive cover crops with the entomopathogenic fungus Metarhizium brunneum by Juan Carlos Conde-Bravo, María Fernández-Bravo, Inmaculada Garrido-Jurado, Meelad Yousef-Yousef, Enrique Quesada-Moraga

“…IntroductionNeophilaenus campestris (Fallén) (Hemiptera: Aphrophoridae) is among the most abundant, highly dispersible, and widely distributed Xylella fastidiosa Wells (Xanthomonadales: Xanthomonadaceae) vectors to olive tree in Europe, with emphasis in Andalucía. The development of efficient and environmentally friendly vector management strategies is greatly needed. …”
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Anti-oxidation enhancement, inflammation alleviation, and microbial composition optimization of using tussah (Antheraea pernyi) silk fibroin peptides for hyperglycaemia remission. by Rui Mi, Xuejun Li, Yajie Li, Xingfan Du

“…<h4>Conclusions</h4>These results collectively corroborated the feasibility and superiority of using TSFP for hyperglycaemia remission via anti-oxidation enhancement, inflammation alleviation, and microbial composition optimization, contributing to a safely feasible and biologically efficient strategy for improving anti-diabetic effects.…”
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FAULT DIAGNOSIS OF GEARBOX UNDER VARIABLE WORKING CONDITION BASED ON WEIGHTED SUBDOMAIN ADAPTIVE ADVERSARIAL NETWORK by ZHANG Huiyun, ZUO Fangjun, YU Xi, YANG Ting

“…In practical engineering, gearboxes are subject to complex and variable operating environments, which hinder the ability of a single vibration signal to accurately and effectively represent fault information under different working conditions. …”
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LPCF-YOLO: A YOLO-Based Lightweight Algorithm for Pedestrian Anomaly Detection with Parallel Cross-Fusion by Peiyi Jia, Hu Sheng, Shijie Jia

“…Firstly, the FPC-F (Fast Parallel Cross-Fusion) module, which incorporates PConv, and the S-EMCP (Space-efficient Merging Convolution Pooling) module are designed in the backbone network to replace C2F and SPPF at various scale branches. …”
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Flexible Adaptive Marine Predator Algorithm and Its Application in Fault Detection for Wind Turbines by WANG Wen, YI Jiabiao

“…Through theoretical analysis and empirical research, this study verified the applicability and advantages of FAMPA in the fault diagnosis of wind turbines, providing an efficient and reliable method in this field.…”
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Enhancing semi‐supervised contrastive learning through saliency map for diabetic retinopathy grading by Jiacheng Zhang, Rong Jin, Wenqiang Liu

“…Hence, the development of efficient automated DR grading systems is crucial for early screening and treatment. …”
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A lightweight and style-robust neural network for autonomous driving in end side devices by Sheng Han, Youfang Lin, Zhihui Guo, Kai Lv

“…Conditional imitation learning has been proved an efficient and promising policy for autonomous driving and other applications on end side devices due to its high performance and offline characteristics. …”
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Restoration and functional analysis of the SGI1 resolution system – SGI1 multimers are eliminated by the reactivated resolution by Alexandra Veress, Mónika Szabó, János Kiss

“…Abstract SGI1 and the related elements that are specifically mobilized by the IncA- and IncC-family plasmids are efficient agents in the dissemination of multi-resistance in Gammaproteobacteria. …”
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A hybrid TCN-XGBoost model for agricultural product market price forecasting. by Tianwen Zhao, Guoqing Chen, Sujitta Suraphee, Tossapol Phoophiwfa, Piyapatr Busababodhin

“…By leveraging TCN's strength in temporal feature extraction and XGBoost's capability to model complex nonlinear relationships, the TCN-XGBoost integrated model offers an efficient and robust solution for forecasting agricultural prices. …”
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Automatic Voltage Regulator Betterment Based on a New Fuzzy FOPI+FOPD Tuned by TLBO by Mokhtar Shouran, Mohammed Alenezi

“…This study presents a notable contribution by introducing an innovative control structure that addresses critical challenges in AVR systems, paving the way for more resilient and efficient power system operations.…”
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Phytoremediation of Petroleum Hydrocarbon by Micro Green Algae: A Review by Assim H. Flayyih, Buthena A. AL Magdamy

“…Results: The best types of bacteria used in treatment are Marinobacter, Acinetobacter, Bacillus, Pseudomonas, Neptunomonas, Alcanivorax, Cycloclasticus, and Oleiphilus, while the most efficient microalgae species are Chlorella vulgaris and Scenedesmus spp. …”
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