Optimization of dye effluent decolorization by halotolerant Halomonas strain D2 in static culture condition by Ali Partovinia, Maryam Otadi, Amirhossein Alaedini

“…Material and methods: In this research, the effectiveness status of variables and optimum conditions were studied by the statistical approach of Design Expert V.7 software. …”
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Energy optimization and plant comfort management in smart greenhouses using the artificial bee colony algorithm by Muhammad Jawad, Fazli Wahid, Sikandar Ali, Yingliang Ma, Ahmed Alkhyyat, Jawad Khan, Youngmoon Lee

“…It is important to note that the research being done has the potential to minimize operating costs and maximize the amount of energy needed for plant growth, thereby creating a model for sustainable greenhouse agriculture.…”
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Resource Characteristics of Common Reed (<i>Phragmites australis</i>) in the Syr Darya Delta, Kazakhstan, by Means of Remote Sensing and Random Forest by Azim Baibagyssov, Anja Magiera, Niels Thevs, Rainer Waldhardt

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Preliminary performance analysis using the PPP-RTK service of the National Land and Mapping Center in Taiwan by J.-Y. Lin, C.-H. Chu, F.-Y. Chu, K.-W. Chiang, M.-L. Tsai

“…Low-cost navigation and positioning systems have become a prominent research field in recent years. In the autonomous vehicle domain, real-time accurate vehicle position determination within lanes is essential for high-level autonomous driving. …”
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A combined data assimilation and deep learning approach for continuous spatio-temporal SWE reconstruction from sparse ground tracks by Matteo Guidicelli, Kristoffer Aalstad, Désirée Treichler, Nadine Salzmann

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Development and validation of a single latent variable self-reported periodontal disease scale based on the disease’s common signs and symptoms in Saudi adults by Yasmine N. Alawaji, Mohamed H. Alqasoumi, Saleh N. Alwatban, Abdulaziz M. Halwani, Lamya A. Aljnoubi, Bayan K. Alshehri, May K. Alenezi

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Hybrid LSTM–Transformer Architecture with Multi-Scale Feature Fusion for High-Accuracy Gold Futures Price Forecasting by Yali Zhao, Yingying Guo, Xuecheng Wang

“…Key innovations include the following: (1) a bidirectional LSTM–Transformer interaction architecture employing cross-attention mechanisms to dynamically couple global market context with local temporal features, surpassing traditional linear combinations; (2) a Dynamic Hierarchical Partition Framework (DHPF) that stratifies data into four dimensions (price trends, volatility, external correlations, and event shocks) to address multi-driver complexity; (3) a dual-loop adaptive mechanism enabling endogenous parameter updates and exogenous environmental perception to minimize prediction error volatility. This research proposes innovative cross-modal fusion frameworks for gold futures forecasting, providing financial institutions with robust quantitative tools to enhance asset allocation optimization and strengthen risk hedging strategies. …”
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Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy Supply by Jayasri Nemala, Devi V.S. Anusuya, Tewari Preeti, Lakhanpal Sorabh, Abedi Tamam Ali Abd Ulabbas, Bodha Kapil

“…The performance of the controller is evaluated in the present research based on a real wind power state trajectory through numerical simulations of the system.…”
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Three-Dimensional Path Following Control for Underactuated AUV Based on Ocean Current Observer by Long He, Ya Zhang, Shizhong Li, Bo Li, Zeihui Yuan

“…Accounting for uncertainties like variable ocean currents, this research establishes the AUV’s kinematics and dynamics models and formulates the tracking error within the Frenet–Serret coordinate system. …”
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Distributed Cooperative Disturbance-Rejection Control of Hybrid Alternating Current/Direct Current Distribution Grids with Multiple Inverters by QUAN Shaoli, YU Haozheng, MA Jie, WANG Weiyu, GUO Yong, CHEN Chun

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Critical velocity criterion of explosive charges initiated by fragment impact considering impact angle and charge radius by Hao Cui, Junan Wu, Yuxin Xu, Pu Song, Rui Guo

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Optimization and Modelling of Fracture Height in SECC Cylindrical Cup Deep Drawing Processes by Quy-Huy Trieu, The Thanh Luyen, Duc-Toan Nguyen

“…Deep drawing processes play a pivotal role in the manufacturing of sheet and shell products, making it a widely adopted method. This research employs numerical simulations to investigate the impact of various process parameters on the fracture height of cylindrical cups made from SECC (Steel Electrogalvanized Commercial Cold rolled) material. …”
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Comparison Principle Based Synchronization Analysis of Fractional-Order Chaotic Neural Networks with Multi-Order and Its Circuit Implementation by Rongbo Zhang, Kun Qiu, Chuang Liu, Hongli Ma, Zhaobi Chu

“…In this paper, we explore three aspects of the research challenges, i.e., theoretical limitations of uncertain IFO systems, the fragility of the synchronization controller, and the lack of circuit implementation. …”
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GIS isolation switch contact temperature wireless monitoring by Liu Haoli, Li Jiaqi, Zhang Jiuye, Zhao Yubo, Zhang Jinhua, Wang Liang

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Development of Low-Cost Single-Chip Automotive 4D Millimeter-Wave Radar by Yongjun Cai, Jie Bai, Hui-Liang Shen, Libo Huang, Bing Rao, Haiyang Wang

“…The maximum measurement error is approximately ±0.2° for azimuth angles within the range of ±30° and around ±0.4° for elevation angles within the range of ±13°. …”
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A global dataset of average specific yield for soils by Meizhao Lv, Meixia Lv, Yuanyuan Zha, Lei Wang, Zong-Liang Yang

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Forecasting of virtual power plant generating and energy arbitrage economics in the electricity market using machine learning approach by Tirunagaru V. Sarathkumar, Arup Kumar Goswami, Baseem Khan, Kamel A. Shoush, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

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A vitamin intervention study on the tumour and immune cells via TIV dynamical system-revisited by Khushbu Agrawal, Sunil Kumar, Badr Saad T. Alkahtani, Sara Salem Alzaid

“…According to the findings, the TIV system would benefit from the use of the BWCM and this numerical method will open more research. Our findings will be valuable to biologists and researcher in the treatment of TIV.…”
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Deep neural architectures for Kashmiri-English machine translation by Syed Matla Ul Qumar, Muzaffar Azim, S. M. K. Quadri, Mohannad Alkanan, Mohammad Shuaib Mir, Yonis Gulzar

“…We further provide a structured linguistic error analysis and validate the significance of performance differences through bootstrap resampling. …”
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Enhancing Intermittent Spare Part Demand Forecasting: A Novel Ensemble Approach with Focal Loss and SMOTE by Saskia Puspa Kenaka, Andi Cakravastia, Anas Ma’ruf, Rully Tri Cahyono

“…The approach was empirically validated by comparing the model’s Mean Squared Error (MSE) performance and Area Under the Curve (AUC). …”
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