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A new initial point search algorithm for bayesian calibration with insufficient statistical information: greedy stochastic section search
Digital Twin (DTw) model is a numerical model in a virtual world that supports engineer decisions using observed data from a real system. However,...
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Knowledge graph-enhanced molecular contrastive learning with functional prompt
Deep learning models can accurately predict molecular properties and help making the search for potential drug candidates faster and more efficient....
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Enhanced Geothermal System Performance Prediction Based on Deep Learning Neural Networks
The rapid development of the global economy and the sharp rise in population has increased human demand for energy. Hot dry rock (HDR) geothermal...
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Fabrication and characterization of aluminum foam reinforced with nanostructured γ-Al2O3 via friction stir process for enhanced mechanical performance
This study focuses on the fabrication and characterization of aluminum foam reinforced with nanostructured γ-Al 2 O 3 , utilizing AA5083 plates. The...
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The Tracking Estimation of Maneuvering UAVs Based on Enhanced Convergence IMM-EKF
Efficient and accurate state estimation of maneuvering targets is a key step in radar surveillance systems. Especially in the unmanned aerial...
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Strain evolution in coal seam exposed to injected gas with different species for enhanced CBM extraction: a numerical observation
The viscosity and density of different gases (CO 2 and N 2 ) vary with the gas species, composition and temperature, which may raise variant results of...
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Enhanced U-Net and PSO-Optimized ANFIS for Classifying Fish Diseases in Underwater Images
Fish diseases are among the major limiting factors to increase global aquaculture production. They lead to increased fish mortality, low breeding and...
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Investigation of fracture mechanisms in smooth blasting of limestone samples: numerical and experimental approaches
This paper presents a comprehensive study on the numerical and experimental simulation of smooth blasting in limestone. The calibration of the...
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An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transform
The complexity of the internal structure of rolling bearings and the harshness of their operating environment result in strong non-stationarity and...
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Optimization of metal dopant effect on ZnO nanoparticles for enhanced visible LED photocatalytic degradation of citalopram: comparative study and application to pharmaceutical cleaning validation
Metal do** is an effective method to tune the optical and chemical properties of nanoparticles. Herein, a comparative study was conducted to assess...
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Optimizing HAR Systems: Comparative Analysis of Enhanced SVM and k-NN Classifiers
This research addresses the accuracy issues in IoT-based human activity recognition (HAR) applications, essential for health monitoring, elderly...
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SEML: Self-Supervised Information-Enhanced Meta-learning for Few-Shot Text Classification
Training a deep-learning text classification model usually requires a large amount of labeled data, yet labeling data are usually labor-intensive and...
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A gradient-enhanced partition-of-unity surrogate model and adaptive sampling strategy for non-analytic functions
We present a gradient-enhanced, partition-of-unity surrogate model and an associated adaptive sampling procedure that performs well for functions...
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Enhanced Biogas Production from Human and Agro-Waste: Waste to Wealth Initiative
High population spikes have been projected for develo** countries in the nearest future. This development is a source of concern as there are no...
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Monitoring of Large-Amplitude Cyclic Cable Tension via Resonance-Enhanced Magnetoelastic Effect
Cable tension is an important parameter for monitoring the health of cable-supported bridges. Live loads cause periodic changes in cable tension....
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Enhanced Biogas Production from Thermophilic Anaerobic Digestion of Poultry Slaughterhouse Sludge: Effect of Thermal Pretreatment and Micronutrients Supplementation
Poultry slaughter effluents contain biodegradable organics, which include blood, feathers, viscera, soft tissues removed during trimming and cutting,...
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LCO–EGC: levy chaotic optimization-based enhanced graph convolutional network for monitoring health of sports athletes
In this modern world, healthcare monitoring is essential to save human lives. The Internet of Things (IoT) plays a vital role in the monitoring of...
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Comparison of Debris Removal in Pap-Smear Images Using Enhanced Erosion and Dilation
The pap-smear test is considered one of the most common methods available for cervical cancer screening. Women above a particular age are supposed to...
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Semantic Enhanced Segmentation Based on Thermal Images with Superpixel
Semantic segmentation is receiving increasing attention from researchers. Many emerging applications require accurate and efficient segmentation...
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A Commonsense-Enhanced Document-Grounded Conversational Agent: A Case Study on Task-Based Dialogue
This paper argues that future dialogue systems must retrieve relevant information from multiple structured and unstructured data sources in order to...