The influence of nano-silica precursor on the compressive strength of mortar using Advanced Machine Learning for sustainable buildings
Sustainable building construction requirements demand an efficient utilization of industrial
waste as alternatives to construction materials. In this work, the nano-silica (NS) has been …
waste as alternatives to construction materials. In this work, the nano-silica (NS) has been …
Comprehensive exploration: Automatic mode-locking technology and its multidisciplinary applications
H Liu, C Sun, H Zhang - Infrared Physics & Technology, 2024 - Elsevier
We present a thorough review of the evolution and current status of automatic mode-locking
technology, offering insights into its remarkable developments. Automatic mode-locking …
technology, offering insights into its remarkable developments. Automatic mode-locking …
Network flow problem heuristic reduction using machine learning
M Rosecký, J Pluskal, R Šomplák - Optimization and Engineering, 2024 - Springer
Most of the supporting tools developed for logistic optimization and processing infrastructure
planning are based on the network flow problem. The real-world application of these …
planning are based on the network flow problem. The real-world application of these …
Optimizing PCF-SPR sensor design through Taguchi approach, machine learning, and genetic algorithms
Abstract Designing Photonic Crystal Fibers incorporating the Surface Plasmon Resonance
Phenomenon (PCF-SPR) has led to numerous interesting applications. This investigation …
Phenomenon (PCF-SPR) has led to numerous interesting applications. This investigation …
Design of THz photonic crystal fiber based biosensor for detection of brain tissues and behavior characterization with Machine learning approach
In this research, we proposed a Terahertz (THz) refractive index-based Hollow-Core
Photonic Crystal Fiber (HC-PCF) biosensor for examining various brain cancerous tissues …
Photonic Crystal Fiber (HC-PCF) biosensor for examining various brain cancerous tissues …
Design optimization of groundwater circulation well based on numerical simulation and machine learning
Z Fang, H Ke, Y Ma, S Zhao, R Zhou, Z Ma, Z Liu - Scientific Reports, 2024 - nature.com
The optimal design of groundwater circulation wells (GCWs) is challenging. The key to
purifying groundwater using this technique is its proficiency and productivity. However …
purifying groundwater using this technique is its proficiency and productivity. However …
RNN-LSTM model for reliable optical transmission in flexible switching network systems
AHM Almawgani - Wireless Networks, 2024 - Springer
Data traffic is rapidly growing due to e-commerce, digital communication, and the digital
world. Optical networks must provide a better solution to enhance transmission and improve …
world. Optical networks must provide a better solution to enhance transmission and improve …
Machine Learning for Failure Management in Microwave Networks: A Data-Centric Approach
We consider the problem of classifying hardware failures in microwave networks given a
collection of alarms using Machine Learning (ML). While ML models have been shown to …
collection of alarms using Machine Learning (ML). While ML models have been shown to …
An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection
The feature selection problem involves selecting a subset of relevant features to enhance
the performance of machine learning models, crucial for achieving model accuracy. Its …
the performance of machine learning models, crucial for achieving model accuracy. Its …
SAR marine oil spill detection based on an encoder-decoder network
K Soh, L Zhao, M Peng, J Lu, W Sun… - International Journal of …, 2024 - Taylor & Francis
Marine oil spills are currently among the most challenging problems in marine
environments. Synthetic Aperture Radar (SAR), with all-day and all-weather observation …
environments. Synthetic Aperture Radar (SAR), with all-day and all-weather observation …