A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…Finally, an attention mechanism is employed to identify important information from the outputs of the BiGRU model, and the Grid Search (GS) method is used to optimize the BiGRU-Attention model, yielding optimal predictions. …”
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Optimizing Radiation Dose and Image Quality in Stroke CT Protocols: Proposed Diagnostic Reference Levels for Multiphase CT Angiography and Perfusion Imaging by Robert Forbrig, Christoph G. Trumm, Paul Reidler, Wolfgang G. Kunz, Konstantinos Dimitriadis, Lars Kellert, Johannes Rückel, Thomas Liebig, Robert Stahl

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Multi-objective synergistic optimization of closed Brayton cycle superstructure for thermal protection system of high-Mach-number air-breathing vehicles by Chendi Yang, Hang Pu, Lin Mu, Lin Zhou, Junjiang Bao, Yining Zhang, Ming Dong

“…A new design challenge arises from the trade-off between the cooling capability and thermodynamic performance of the Brayton cycle system under a finite cold source constraint. In this study, a multi-objective synergistic optimization of Brayton cycle configurations, working fluids, and design parameters was investigated using the superstructure method. …”
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Embracing open innovation in hospitality management: Leveraging AI-driven dynamic scheduling systems for complex resource optimization and enhanced guest satisfaction by Rapeepan Pitakaso, Paulina Golinska-Dawson, Peerawat Luesak, Thanatkij Srichok, Surajet Khonjun

“…We conducted a pilot implementation at a hotel in Ubon Ratchathani Province, Thailand, using a mixed-method approach that combined quantitative metrics with qualitative feedback. …”
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Thermal error modeling of slant bed CNC lathe spindle based on BiLSTM with data augmentation and grey wolf optimizer algorithm by Musab Alataiqeh, Hu Shi, Qiangqiang Qu, Xuesong Mei, Haitao Wang

“…Furthermore, a predictive model that integrates Bidirectional Long Short-Term Memory (BiLSTM) with hyperparameter optimization via the Grey Wolf Optimizer (GWO) is developed. …”
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A Hybrid Approach for Reachability Analysis of Complex Software Systems Using Fuzzy Adaptive Particle Swarm Optimization Algorithm and Rule Composition by Nahid Salimi, Seyfollah Soleimani, Vahid Rafe, Davood Khodadad

“…Furthermore, it explored 32.7% fewer states on average than the hybrid method based on Particle Swarm Optimization and Gravitational Search Algorithms, and 57.4% fewer states compared to Genetic Algorithms, indicating improved search efficiency. …”
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Exploring optimal protocols for generating and preserving glucose-responsive insulin-secreting progenitor cells derived from human pluripotent stem cells by Patrizia Tornabene, James M. Wells

“…In this study, we performed a side-by-side functional comparison based on three widely used methods to generate insulin expressing cells and identified optimal stages and conditions for cryopreserving and reconstituting stem cell (SC)-derived islets with a robust GSIS. …”
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Integrated local energy market-based optimization framework for multi-energy microgrid considering power grid AC constraints and usage price by Amirhamzeh Farajollahi, Meysam Feili

“…The word ''integrated optimization'' implies that the proposed method clears customers' energy scheduling based on the market competitive price. …”
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Optimizing genomic DNA extraction from long-term preserved formalin-fixed and paraffin-embedded lung cancer and lymph node tissues by C.S. Faria, C.M. Baldavira, F.R.R. Mangone, M.E.M. Agati, L.D. Kulikowski, M.A. Nagai, E.C.T. do Nascimento, E.S. de Mello, V.L. Capelozzi, L. Antonangelo

“…In this study, we utilized the Qiagen GeneRead® DNA FFPE kit with an adapted protocol for two extraction methods: one involved cutting FFPE blocks and the other involved scraping tissue from slides used for histochemical and cytological analysis. …”
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A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine by S. Syama, J. Ramprabhakar, R Anand, V. P. Meena, Josep M. Guerrero

“…The evaluation criteria demonstrate that the suggested method outperforms the existing methods in terms of prediction accuracy and stability, thus confirming that a hybrid forecasting model approach combining an efficient decomposition method with a simplified but efficient parameter-optimized neural network can enhance its accuracy and stability.…”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…This process included methods for optimizing well trajectories, selecting well locations, predicting formation pressures before drilling, and predicting wellbore stability, which improved drilling safety and efficiency. …”
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Benchmarking Quantum Circuit Transformation With QKNOB Circuits by Sanjiang Li, Xiangzhen Zhou, Yuan Feng

“…To enable faithful evaluation of state-of-the-art QCT algorithms, this article introduces qubit mapping benchmark with known near-optimality (QKNOB), a novel benchmark construction method for QCT. …”
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Production and characterization of anti-bacterial metabolite(s) from Egyptian archaeological sites by Aalaa A. Youssef, Bassma H. Elwakil, Doaa A. Ghareeb, Zakia A. Olama

“…The most effective fermentation factors were identified as carbon, nitrogen source concentrations and pH levels. Nano-xenortide was synthesized using the ball milling method, followed by its characterization and evaluation for its anticipated antibacterial and anticancer properties. …”
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Optimasi kondisi proses pengeringan ampas wortel menggunakan RSM dan pemanfaatannya sebagai masker gel peel off by Asri Widyasanti, Tiara Namira, Sarifah Nurjanah

“…The dryer used was a food dehydrator operating at a temperature range of 45°C to 65°C for a duration of 20 to 26 hours. This research method was an experimental method with optimization using the Response Surface Methodology (RSM) type Central Composite Design (CCD) in the Design Expert 13 application. …”
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Investigation into the Hyperparameters of Error-Based Adaptive Sampling Approach for Surrogate Modeling by Leonid Legashev, Sergey Tolmachev, Irina Bolodurina, Alexander Shukhman, Lyubov Grishina

“…The best results were shown by the composite Mixed Sampling method with a data refining window the size of 70% and a LightGBM regression model. …”
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Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem by Ruqaya Sha’ban

“…The research tackled artificial intelligent methods to solve one of the optimization problems by using artificial ant by applying ant colony optimization algorithm and also tabu search algorithm to find the solution of sliding tile 8-puzzel problem. …”
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Optimizing Xenograft Models for Breast Cancer: A Comparative Analysis of Cell-Derived and Patient-Derived Implantation Techniques in Pre-Clinical Research by Khairani AF, Harmonia S, Chou Y, Alfarafisa NM, Ramadhanti J

“…The inclusion criteria ensured relevant English sources were available in full text, while the exclusion criteria eliminated certain types of articles and inadequately comprehensive studies.Results: Subcutaneous and orthotopic implantation are critical methods for xenograft models in cancer research. …”
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Optimizing 3D seismic survey geometries using ray tracing and illumination modeling: A case study from Penobscot field by Kumar Pradeep, Narayan Satya, Ai Hanbing, Abdelrahman Kamal, Pratap Birendra, Fnais Mohammed S.

“…The WF construction approach assimilates elastic wave propagation through a heterogeneous and geologically complex Earth medium. This method involves constructing an elastic Earth model with inhomogeneous properties and the propagation of elastic wavefields through the model by strategically positioning sources and receivers in accordance with the designed survey geometry. …”
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Dynamic participation in local energy communities with peer-to-peer trading [version 2; peer review: 2 approved, 2 approved with reservations] by Theresia Perger, Hans Auer

“…., as peer-to-peer trading) are on the rise due to increasingly decentralized electricity generation and favorable adjustment of the legal framework in many European countries. Methods This work applies a bi-level optimization model for dynamic participation in peer-to-peer electricity trading to determine the optimal parameters of new participants who want to join an energy community, based on the preferences of the members of the original community (e.g., environmental, economic, or mixed preference). …”
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Biogas production using zirconium and zinc-based nanocatalysts and evaluation using a predictive modeling approach by Abbas A. Abdullahi, Mustapha D. Garba, Tawfik A. Saleh

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