EOST-LSTM: Long Short-Term Memory Model Combined with Attention Module and Full-Dimensional Dynamic Convolution Module by Guangxin He, Wei Wu, Jing Han, Jingjia Luo, Lei Lei

“…The multi-scale spatial and temporal features of radar images can be fully extracted by an efficient multi-scale attention module to enhance the model’s ability to perceive global and local information. …”
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Sustainable Optimization of the Injection Molding Process Using Particle Swarm Optimization (PSO) by Yung-Tsan Jou, Hsueh-Lin Chang, Riana Magdalena Silitonga

“…The BPNN’s exceptional ability to learn complex nonlinear relationships between six key process parameters (including melt temperature and holding pressure) and product quality is amplified by PSO’s intelligent search capability, which efficiently navigates the high-dimensional parameter space. …”
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A Novel MPE-LPP-ELM Recognition Method for the Fault Diagnosis of Spiral Bevel Gears by Jiang Lingli, Tan Hongchuang, Li Xuejun, Yang Dalian

“…They have the ability to extract low-dimensional sensitive information from high-dimensional feature data. …”
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Research on new energy power plant network traffic anomaly detection method based on EMD by Danni Liu, Shengda Wang, YutongLi, Ji Du, Jia Li

“…Results The grid deployment of large-scale PV power facilities relies heavily on dependable communication networks. The efficiency of PV power plants and their ability to meet application requirements are both impacted by the communication infrastructures that are responsible for real-time monitoring. …”
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Beyond Standard Losses: Redefining Text-to-SQL with Task-Specific Optimization by Iker Azurmendi, Ekaitz Zulueta, Gustavo García, Nekane Uriarte-Arrazola, Jose Manuel Lopez-Guede

“…In recent years, large language models (LLMs) have shown an impressive ability in translating text to SQL queries. However, in real-world applications, standard loss functions frequently fail to capture the complexity of queries adequately. …”
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Data-Driven Optimized Load Forecasting: An LSTM-Based RNN Approach for Smart Grids by Muhammad Asghar Majeed, Sotdhipong Phichaisawat, Furqan Asghar, Umair Hussan

“…Accurate load forecasting is essential for ensuring the stability and efficiency of modern power systems, particularly in the context of increasing renewable energy integration. …”
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Chromium Removal from Electroplating Wastewater Using Activated Coffee Husk Carbon by Temesgen Aragaw, Seyoum Leta, Ermias Alayu, Andualem Mekonnen

“…Thus, this study was conducted to evaluate the Cr adsorption efficiency of activated coffee husk carbon from electroplating wastewater at laboratory scale. …”
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General anesthesia in dental treatments: where and how? by Tuba Çatak, Şeref Nur Mutlu, Ali Özgül Saltalı, Yasemin Derya Fidancıoğlu

“…When asked why having an in-house operating room would enhance efficiency, the most common reasons cited were the ability to schedule more surgery days, better communication from working with the same anesthesia team, and the elimination of time lost due to transfers between hospitals. …”
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Enhanced nonlinear sliding mode control technique for wind power generation systems application: Theoretical design and comparative study by Yattou El Fadili, Ismail Boumhidi

“…The proposed controller is designed to enhance system efficiency and profitability by maximizing electricity production, reducing torque ripples, eliminating peak overshoots, and achieving precise setpoint tracking with optimal transient performance. …”
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Enhancing Healthcare With WBAN and Digital Twins: A Machine Learning Approach for Predictive Health Monitoring by Rishit Mahapatra, Deepak Sethi, Kaushik Mishra

“…XGB and SVC also performed strongly, with GB, Ba, ET, and AB ranking high in efficiency, with consistent scores in the mid-90s. Integrating digital twins with these models offers an innovative framework to improve healthcare efficiency, allowing for real-time simulation and more accurate forecasting of patient outcomes.…”
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BinaryViT: Binary Vision Transformer for Hyperspectral Image Classification by Xiang Hu, Taolin Liu, Zhe Guo, Yuxiang Tang, Yuanxi Peng, Tong Zhou

“…Experiments conducted on seven benchmark hyperspectral datasets demonstrate the effectiveness of our approach in balancing computational efficiency and classification performance.…”
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Modular Neural Network Model for Biometric Authentication of Personnel in Critical Infrastructure Facilities Based on Facial Images by Oleksandr Korchenko, Ihor Tereikovskyi, Ruslana Ziubina, Liudmyla Tereikovska, Oleksandr Korystin, Oleh Tereikovskyi, Volodymyr Karpinskyi

“…Innovative features of the developed modular model include the ability to recognize spoofing attacks based on environmental artifacts and the naturalness of emotions, as well as an increase in the accuracy of person recognition due to the use of a U-Net neural network to highlight natural facial contours in occlusions. …”
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Experiments and Simulations on the Low-Temperature Reduction of Iron Ore Oxide Pellets with Hydrogen by Róbert Findorák, Zuzana Miškovičová, Jaroslav Legemza, Róbert Dzurňák, Branislav Buľko, Peter Demeter, Andrea Egryová, Róbert Maliňák

“…Chemical and microstructural analyses revealed that porosity, mineralogical composition, and phase distribution homogeneity significantly affect reduction efficiency. High-quality pellets with low SiO₂ content demonstrated the best reduction ability, while fluxed pellets with the presence of calcium silicate ferrites and pellets with a higher content of SiO₂ showed lower reduction potential due to the presence of hard-to-reduce phases such as calcium silicate ferrites and iron silicates. …”
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A review of AI for optimization of 3D printing of sustainable polymers and composites by Malik Hassan, Manjusri Misra, Graham W. Taylor, Amar K. Mohanty

“…In recent years, 3D printing has experienced significant growth in the manufacturing sector due to its ability to produce intricate and customized components. …”
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Predicting the hospitalization burdens of patients with mental disease: a multiple model comparison by Lu Hou, Lu Hou, Jing Zhang, Jing Zhang, Li Li, Yelin Weng, Ziyu Yang, Zhiguo Liu

“…This approach contributes to enhancing the quality of patient care and optimizing the efficiency of medical resource utilization.…”
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Sustainable technology for coconut processing: Biomass-powered dryer and performance evaluation by C. Naveen Prabhu, S. Dhanushkodi, K. Sudhakar

“…A notable achievement of the dryer was its consistent ability to maintain a critical temperature range of 67–75 °C, which is crucial for ensuring effective and efficient drying processes. …”
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Design and Implementation of a Perfect Optical Vortex Sorter Using a Binary Dammann Grating by Redha H. Al Ibrahim, Shuiqin Zheng, Tien Khee Ng, Boon S. Ooi

“…Simulations and experiments were conducted, demonstrating the system's ability to map each topological charge to a unique radial location with high efficiency. …”
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A three stage attention enabled stacked deep CNN-BiLSTM (ASDCBNet) model for end-to-end monitoring of wastewater treatment plant by S. Ullas, B. Uma Maheswari, Seshaiah Ponnekant, T. M. Mohan Kumar

“…The model's practical application in real-world WWTPs can enhance operational efficiency, reduce manual labor, and improve water quality management by providing accurate, real-time insights.…”
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A Transformerless Bidirectional Active Switched Inductor-Based SEPIC High-Gain DC–DC Converter With Buck–Boost Capability by Sunil Mandal, Prajof Prabhakaran, D. Arun Dominic, Arun P. Parameswaran

“…A key feature of the converter is its ability to provide bidirectional buck–boost operation in both power flow directions, while maintaining a reduced component count and improved efficiency through synchronous rectification. …”
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THE PROPOSAL MODEL OF RATIONAL WORKFORCE ASSIGNMENT IN DOKUZ EYLUL UNIVERSITY BY ANALYTIC HIERARCHY PROCESS BASED 0-1 INTEGER PROGRAMMING by Yılmaz GÖKŞEN, Hakan AŞAN, Onur DOĞAN, Mustafa ÜNLÜ, Osman PALA

“…Nowadays, creativity, innovation and ability can be added to these. Competition is intense both in private and public sectors. …”
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