Real-Time and In Situ Evaluation of Phycocyanin Concentration in Spirulina platensis Cultivation System by Using Portable Raman Spectroscopy by Yong He, Xiaoxi Liu, Hui Fang, Jinnuo Zhang, Xuping Feng

“…Here, we studied the optimal nitrogen and phosphorus supply for the Spirulina production process. …”
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Compressive behavior of Co-Cr-Mo radially graded porous structures under as-built and heat-treated conditions by Francesco Cantaboni, Paola Ginestra, Marialaura Tocci, Andrea Avanzini, Elisabetta Ceretti, Annalisa Pola

“…The favorable combination of mechanical properties and biocompatibility suggests that Co-Cr-Mo lattices may represent an optimal solution to produce customized metal implants. …”
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Optical Model of Laminated Remote Phosphor Films and Its Application in White LED by Yong-Hao Chen, Ning-Ze Zhuo, Peng Jiang, Shao-Wen Cheng, Peng-Fei Shen, Hai-Bo Wang

“…When the red and green phosphor mass ratio is 0.05:0.5, the simulated color is optimal, Rf reaches 90, and Rg reaches 100, whose corresponding experimental values are Rf=90, Rg=101.…”
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Impact of Promoters on the Catalytic Performance of Nanostructured Nickel/Carbon Matrix for the Decomposition of Methane by Adeel Ahmad, Iqra Reyaz Hamdani, Abdul Rasheed Pillantakath, Ahmed Al Shoaibi, Srinivasakannan Chandrasekar, Mohammad Mozahar Hossain

“…The proportion of Cu and Mo are varied to determine the optimal loading, to maximize conversion and stability using pure methane as the feedstock. …”
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Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks by P. Sanju, N. Syed Siraj Ahmed, P. Ramachandran, P. Mohamed Sajid, R. Jayanthi

“…The novelty of this work lies in its hybrid approach to feature selection, which reduces dimensionality while retaining the most informative features, and its application of an optimized Random Forest model for enhanced classification accuracy. …”
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Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance by Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López

“…By leveraging the classifier to condense sensor data and applying anomaly detection to its output, the system optimizes the decision reliability. Three anomaly detection methods were evaluated: One-Class Support Vector Machine (OCSVM), Minimum Covariance Determinant (MCD), and a majority (hard) voting ensemble of the two. …”
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Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats by Egidijus Jurkus, Julius Taminskas, Ramūnas Povilanskas, Arvydas Urbis, Jovita Mėžinė, Domantas Urbis

“…The main conclusion is that 55 m long cliff cells are optimal for analyzing short-term cliff behavior using UAV and GIS.…”
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Surface Subsidence Control during Deep Backfill Coal Mining: A Case Study by Baiyi Li, Nan Zhou, Wenyue Qi, Ailing Li, Zhizhong Cui

“…Furthermore, control strategies for deep backfill mining are proposed in which the backfill density can be enhanced by optimizing the tamping machine, material composition, and tamping process. …”
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Adaptive average arterial pressure control by multi-agent on-policy reinforcement learning by Xiaofeng Hong, Walid Ayadi, Khalid A. Alattas, Ardashir Mohammadzadeh, Mohamad Salimi, Chunwei Zhang

“…The controller parameters are optimized using MAOPRL in an adaptive manner, which involves the use of an actor-critic approach in an adaptive fashion. …”
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A Numerical Investigation of the Precipitation over Lake Victoria Basin Using a Coupled Atmosphere-Lake Limited-Area Model by Xia Sun, Lian Xie, Fredrick H. M. Semazzi, Bin Liu

“…A suite of sensitivity experiments was conducted for the selection of an optimal combination of physics options including cumulus, microphysics, and planetary boundary layer schemes for simulating precipitation over the LVB. …”
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Live and mediated user engagements: A comparative dataset from two Bengali audio-story based youtube channelsMendeley Data by Mohammad Harun Or Rashid, Md Tanbeer Jubaer, Barisha Chowdhury, Md Minhazul Islam

“…Additionally, content creators and marketers can utilize insights from this dataset to optimize their strategies for audience engagement. …”
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Collaborative forecasting management model for multi‐energy microgrid considering load response characterization by Huiyu Bao, Yi Sun, Jie Peng, Xiaorui Qian, Peng Wu

“…It proposes multiple iterations of data, fits the dynamic environment of MEMG by continuously improving the long short‐term memory (LSTM) neural network based on knowledge distillation (KD) architecture, and then optimizes the MEMG state space by considering the knowledge of load response characteristics, Furthermore, it combines multi‐agent deep deterministic policy gradient (MADDPG) with horizontal federated (hF) learning to co‐train multi‐MEMG, addressing the issues of training efficiency during co‐training. …”
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An Improved YOLOv7-Tiny-Based Algorithm for Wafer Surface Defect Detection by Mengyun Li, Xueying Wang, Hongtao Zhang, Xiaofeng Hu

“…Finally, the loss function is optimized by adopting IoU with minimum points distance (MPDIoU) to address issues such as small sizes and dense distributions. …”
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A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers by Mingzhi Huang, Di Tian, Hongbin Liu, Chao Zhang, Xiaohui Yi, Jiannan Cai, Jujun Ruan, Tao Zhang, Shaofei Kong, Guangguo Ying

“…A hybrid learning algorithm based on a genetic algorithm and gradient descent algorithm was employed to optimize the network parameters. Comparisons were made between the proposed FWNN model and the fuzzy neural network (FNN), the wavelet neural network (WNN), and the neural network (ANN). …”
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A Deep Learning-Based Approach for Precise Emotion Recognition in Domestic Animals Using EfficientNetB5 Architecture by Rashadul Islam Sumon, Haider Ali, Salma Akter, Shah Muhammad Imtiyaj Uddin, Md Ariful Islam Mozumder, Hee-Cheol Kim

“…The basis of the second strategy is EfficientNetB5, which is known for providing an optimal balance in terms of accuracy and processing capabilities. …”
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Inferring causal protein signalling networks from single‐cell data based on parallel discrete artificial bee colony algorithm by Jinduo Liu, Jihao Zhai, Junzhong Ji

“…Specifically, PDABC is a score‐based BN method that utilises the parallel artificial bee colony to search for the global optimal causal protein signalling networks with the highest discrete K2 metric. …”
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Enhancing Complex Problem-Solving Skills through STEM-Based Spatial Geometry E-Modules by Megita Dwi Pamungkas, St Budi Waluya, Scolastika Mariani, Isnarto Isnarto, Fadhilah Rahmawati, Muhammad Noor Kholid, Pasttita Ayu Laksmiwati

“…As a result, learning outcomes in terms of skills and cognitive aspects become less optimal. Currently, students are no longer rely on textbooks as a learning resource. …”
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Study and Verification of a Fuzzy-Following Energy Management Strategy for Hybrid Tractors by Xin Zhao, Guangpeng Zhang, Jianhua Wang, Zhanpo Xue, Mengnan Liu, Yibin Liu

“…This approach utilizes fuzzy control based on energy following to optimize the tractor’s energy output, ensuring more stable power delivery. …”
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Transformer-based model for predicting length of stay in intensive care unit in sepsis patients by Jeesu Kim, Jeesu Kim, Geun-Hyeong Kim, Geun-Hyeong Kim, Jae-Woo Kim, Jae-Woo Kim, Ka Hyun Kim, Ka Hyun Kim, Jae-Young Maeng, Yong-Goo Shin, Seung Park, Seung Park

“…The result demonstrates the ability of the proposed model to provide accurate and reliable predictions.DiscussionThe proposed model offers valuable insights for healthcare resource management by optimizing ICU resource allocation and potentially reducing medical expenses. …”
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Hybrid model for wind power estimation based on BIGRU network and error discrimination‐correction by Yalong Li, Ye Jin, Yangqing Dan, Wenting Zha

“…Additionally, a sequential model‐based algorithmic configuration optimizes bidirectional gating recurrent unit's network hyperparameters. …”
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