Development of performance-based models for green concrete using multiple linear regression and artificial neural network
The impact of process inputs and critical performance parameters on product quality is an
important aspect of production and this is also true for concrete. There has been an …
important aspect of production and this is also true for concrete. There has been an …
Multi-objective optimization of sustainable concrete containing fly ash based on environmental and mechanical considerations
Infrastructure design, construction and development experts are making frantic efforts to
overcome the overbearing effects of greenhouse gas emissions resulting from the continued …
overcome the overbearing effects of greenhouse gas emissions resulting from the continued …
Facial emotion recognition based on textural pattern and convolutional neural network
Human emotional states can be detected by various ways such as analysingthe brain
signals (EEG), speech, skin responses, facial expressions, body gestures etc. But facial …
signals (EEG), speech, skin responses, facial expressions, body gestures etc. But facial …
Deep learning algorithms are used to automatically detection invasive ducal carcinoma in whole slide images
This paper proposes a profound learning approach in Whole-slide images of breast cancer
(WSI) for automatic detection and visual study of invasive ductal cancer (IDC) tissue regions …
(WSI) for automatic detection and visual study of invasive ductal cancer (IDC) tissue regions …
GRG-optimized response surface powered prediction of concrete mix design chart for the optimization of concrete compressive strength based on industrial waste …
In this research paper, the gradually reducing gradient optimized response surface
methodology (GRG–RSM) has been deployed on a global collection of concrete mixes of …
methodology (GRG–RSM) has been deployed on a global collection of concrete mixes of …
Ai and blockchain for healthcare data security in smart cities
The healthcare industry is interested in various AI and blockchain technology characteristics,
such as the immutability of data stored in a blockchain. Numerous interesting IoT-based …
such as the immutability of data stored in a blockchain. Numerous interesting IoT-based …
Respiratory disease classification by CNN using MFCC
Respiratory disease is a sort of sickness that produces a high death rate in rural or urban
settings. Respiratory illnesses must be detected in advance and the rapid growth of deep …
settings. Respiratory illnesses must be detected in advance and the rapid growth of deep …
A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a …
In order to estimate the compressive and flexural strengths of environmentally friendly
jarosite mixed concrete, an effective prediction model based on the modified Elman neural …
jarosite mixed concrete, an effective prediction model based on the modified Elman neural …
Anomalies detection on attached IoT device at cattle body in smart cities areas using deep learning
The anomalies detection on attached IoT devices on cattle in Smart Cities Areas using deep
learning that help administrator to identify the unauthorized accessing of attached IoT device …
learning that help administrator to identify the unauthorized accessing of attached IoT device …
Design and modeling the compressive strength of high-performance concrete with silica fume: a soft computing approach
Soft computing methods were used in this research to design and model the compressive
strength of high-performance concrete (HPC) with silica fume. Box–Behnken design-based …
strength of high-performance concrete (HPC) with silica fume. Box–Behnken design-based …