Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement by Fazal-E -Wahab, Zhongfu Ye, Nasir Saleem, Hamza Ali, Imad Ali

“…Leaky linear rectified unit (ReLU) is applied to all layers apart from the output layer where softplus activation to confine the network output to positive is utilized. …”
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Three‐Way Equal Filtering Power Divider for Modern Communication Systems by Augustine O. Nwajana, Rose Paul

“…The good agreement between the theoretical and practical results verifies the proficiency of the FPD in delivering equal power outputs at the three output ports, and at the same time filtering out unwanted frequencies as required. …”
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A robust possibilistic programming approach to design a comprehensive blood supply chain based on the ABO-RH index by Taher Kouchaki Tajani, Ali Mohtashami, Maghsoud Amiri, Reza Ehtesham Rasi

“…Findings: Using numerical examples and real data, the output indicates the performance of the proposed model. …”
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Maximizing Electric Power Recovery through Advanced Compensation with MPPT Algorithms by Souad Touairi, Mustapha Zekraoui, Mustapha Mabrouki

“…Additionally, a DC-DC converter circuit has been seamlessly integrated to finely adjust the output voltage to meet specified levels. Numerical simulations demonstrate the effectiveness of the harvesting scheme, extracting a substantial output power of 90 W with an overall efficiency of 70%. …”
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A Study on the Performance of Soiled Solar Photovoltaic Panels at Different Tilt Angles in Al Seeb, Oman by Girma T. Chala, Shaharin A. Sulaiman, Xuecheng Chen

“…The results showed that the highest output power of 79.75 W was observed at an angle of 25°, with an efficiency of up to 20.5%. …”
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Artificial Neural Networks Model for Photosynthetic Rate Prediction of Leaf Vegetable Crops under Normal and Nutrient-Stressed in Greenhouse by Yohanes Bayu Suharto, Herry Suhardiyanto, Anas Dinurroman Susila, Supriyanto

“…This paper introduces an ANN model featuring nine input variables, ten hidden layers, and a single output. This model aims to elucidate the relationship between these inputs and the output parameter. …”
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Forecasting Optimal Solar Energy Supply in Jiangsu Province (China): A Systematic Approach Using Hybrid of Weather and Energy Forecast Models by Xiuli Zhao, Henry Asante Antwi, Ethel Yiranbon

“…After giving an overview of the sustainable energy issues in China, we have reviewed and classified the various models that existing studies have used to predict the influences of the weather influences and the output of solar energy production units. Further, we evaluate the performance of an exemplary ensemble model which combines the forecast output of two popular statistical prediction methods using a dynamic weighting factor.…”
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Speech Enhancement Using Joint DNN-NMF Model Learned with Multi-Objective Frequency Differential Spectrum Loss Function by Matin Pashaian, Sanaz Seyedin

“…The multi-objective MSE term LMO is a combined two-loss function related to the NMF coefficients which are the intermediate output targets, and the original spectral signals as the actual output targets. …”
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Urban Vegetation Mapping from Aerial Imagery Using Explainable AI (XAI) by Arnick Abdollahi, Biswajeet Pradhan

“…Thus, in this work, we explain how an explanation model called Shapley additive explanations (SHAP) can be utilized for interpreting the output of the DNN model that is designed for classifying vegetation covers. …”
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Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data by Ankit Kumar, Neeraj Varshney, Surbhi Bhatiya, Kamred Udham Singh

“…The execution input key/value pair and output key/value pair have been set. This paper focuses on evaluating this technique for the efficient retrieval of large volumes of data. …”
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Decoupling effect and influencing factors of carbon emissions in China: Based on production, consumption, and income responsibilities by Zhi-Lin Lu, Li-Li Wang, Xue-Peng Guo, Jun Pang, Jia-Jia Huan

“…This study utilises an input–output model for multi-regional carbon emissions to calculate carbon emissions from production-, consumption- and income-based perspectives for exploring the variability in the responsibilities for reducing emissions at the provincial level. …”
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Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition by Shahrooz Khalkhali Shandiz, Hamed Khezrzadeh, Saeed Eftekhar Azam

“…Next, a Finite Element (FE) code is developed and verified against modal analysis results where complete agreement is found. The vehicle's output signals are decomposed through VMD and then analyzed to identify and precisely locate damage in the bridge structure. …”
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ViPErLEED package I: Calculation of I(V) curves and structural optimization by Florian Kraushofer, Alexander M. Imre, Giada Franceschi, Tilman Kißlinger, Erik Rheinfrank, Michael Schmid, Ulrike Diebold, Lutz Hammer, Michele Riva

“…Modern file formats are used as input and output, and there is a direct interface to the atomic simulation environment (ASE) package. …”
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Current Practices in Growth Chart Utilization among Healthcare Practitioners in Saudi Arabia: A Cross-Sectional Study by Abeer M. Aljaadi, Rana H. Mosli, Ruba H. Eid, Dania H. Bin-Ali, Essra A. Noorwali, Reem O. Basaqr, Hala Al-Otaibi

“…Only 56% reported discussing the GC output with patients or parents. Adjusting for covariates, dietitians were more likely to use GC with new and follow-up patients (odds ratio (OR): 2.61, 95% confidence interval (CI): 1.13, 6.02) and regularly discuss GC output with patients/parents (OR: 2.65, 95% CI: 1.29, 5.43) compared to other healthcare practitioners. …”
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New hash function based on C-MD structure and chaotic neural network by Liquan CHEN, Yuhang ZHU, Yu WANG, Zhongyuan QIN, Yang MA

“…In recent years, widely used hash algorithms such as MD5 and SHA-1 have been found to have varying degrees of security risks.The iterative structure of the SHA-2 algorithm is similar to that of SHA-1, making it vulnerable to attacks as well.Meanwhile, SHA-3 has a complex internal structure and low implementation efficiency.To address these issues, a keyed hash function was designed and implemented based on chaotic neural network and C-MD structure.The approach involved improving the Merkle-Damgard structure by proposing the chaotic neural network Merkle-Damgard (C-MD) structure.This structure can be used to design a hash function that can withstand attacks such as the middle attack, multiple collision attack, and second pre-image attack for long information.Besides, the chaotic neural network was used as the compression function to increase the complexity of the hash function and improve its collision resistance, while also enabling it to output multiple lengths.Moreover, a plaintext preprocessor was designed, which used the coupled image lattice to generate chaos sequence related to the length of the plaintext to fill the plaintext, thus enhancing the ability of the hash function to resist length expansion attacks.Simulation results demonstrate that the proposed hash function performs faster than SHA-2, SHA-3 and the same type of chaotic hash function proposed by Teh et al.It can resist second pre-image attack, multi-collision attack and differential attack, while also exhibiting better collision resistance and mapping uniformity.In addition, the proposed Hash function can output Hash values of different lengths, making it suitable for use in digital signature, key generation, Hash-based message authentication code, deterministic random bit generator, and other application fields.…”
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Assessing the price effects of African swine fever in the China market by Melissza Salling

“…The outbreak lowers the output of hog meat, raising the stock price and influencing other meat products’ prices. …”
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Technical comparison of hybrid renewable energy systems for Information Technology services by John ADEBISI, Olumuyiwa Amusan, Ponmile Olawoore

“…The results also show that a hybrid solar-wind system tested at 5 minutes time intervals gives a superior output voltage regulation and efficiency when compared to the solar or wind individual systems. …”
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A novel predictive model for estimation of cell voltage in electrochemical recovery of copper from brass: Application of gene expression programming by Ghasemi S., Vaghar S., Pourzafar M., Dehghani H., Heidarpour A.

“…Based on the sensitivity analysis on the input and output parameters, acid concentration and anode-cathode distance were the most and least effective parameters, respectively. …”
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Validating Ionospheric Models Against Technologically Relevant Metrics by A. T. Chartier, J. Steele, G. Sugar, D. R. Themens, S. K. Vines, J. D. Huba

“…Output of this model is now available for visualization and download via https://sami3.jhuapl.edu. …”
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The Important Role of Pyrolysis and Hydrothermal Carbonization in a Sustainable Circular Bioeconomy: A Brief Literature Review by Eira Jansson, Malin Kjell, Karin Ålund

“…While both these technologies generate valuable end-products regardless of the type of feedstock used; the articles reviewed clearly show that the feedstock does influence the quality of the output and thereby the application to which it can be directed. …”
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