Artificial intelligence in the embryology laboratory: a review
I Dimitriadis, N Zaninovic, AC Badiola… - Reproductive …, 2022 - Elsevier
The goal of an IVF cycle is a healthy live-born baby. Despite the many advances in the field
of assisted reproductive technologies, accurately predicting the outcome of an IVF cycle has …
of assisted reproductive technologies, accurately predicting the outcome of an IVF cycle has …
[HTML][HTML] Assessing optimization techniques for improving water quality model
In order to keep the" good" status of coastal water quality, it is essential to monitor and
assess frequently. The Water quality index (WQI) model is one of the most widely used …
assess frequently. The Water quality index (WQI) model is one of the most widely used …
Artificial neural networks for photovoltaic power forecasting: a review of five promising models
Solar energy is largely dependent on weather conditions, resulting in unpredictable,
fluctuating, and unstable photovoltaic (PV) power outputs. Thus, accurate PV power …
fluctuating, and unstable photovoltaic (PV) power outputs. Thus, accurate PV power …
A new ensemble-based intrusion detection system for internet of things
The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few
years by drastically transforming human lives to automate their ordinary daily tasks. This is …
years by drastically transforming human lives to automate their ordinary daily tasks. This is …
Artificial intelligence-based prediction of strengths of slag-ash-based geopolymer concrete using deep neural networks
The construction and building industry, one of the greatest emitters of greenhouse gases, is
under tremendous pressure because of the growing concern about global climate change …
under tremendous pressure because of the growing concern about global climate change …
Investigation of eye-tracking scan path as a biomarker for autism screening using machine learning algorithms
MR Kanhirakadavath, MSM Chandran - Diagnostics, 2022 - mdpi.com
Autism spectrum disorder is a group of disorders marked by difficulties with social skills,
repetitive activities, speech, and nonverbal communication. Deficits in paying attention to …
repetitive activities, speech, and nonverbal communication. Deficits in paying attention to …
A novel pin finned structure-embedded microchannel heat sink: CFD-data driven MLP, MLR, and XGBR machine learning models for thermal and fluid flow prediction
Microscale mechanical systems benefit from microchannel heat sinks' heat transfer
efficiency. This study uses six new pin fin shapes embedded in microchannel to improve …
efficiency. This study uses six new pin fin shapes embedded in microchannel to improve …
A novel short receptive field based dilated causal convolutional network integrated with Bidirectional LSTM for short-term load forecasting
Abstract The Short-Term Load Forecasting (STLF) is a pre-eminent task for reliable power
generation and electrical load dispatching in the power system. Numerous machine …
generation and electrical load dispatching in the power system. Numerous machine …
Prediction on the fluoride contamination in groundwater at the Datong Basin, Northern China: Comparison of random forest, logistic regression and artificial neural …
Groundwater fluoride is posing a health risk to humans, and analyzing groundwater quality
is time-wasting and expensive. Statistical methods provide a valuable approach to study the …
is time-wasting and expensive. Statistical methods provide a valuable approach to study the …
Prediction of protein–protein interaction using graph neural networks
Proteins are the essential biological macromolecules required to perform nearly all
biological processes, and cellular functions. Proteins rarely carry out their tasks in isolation …
biological processes, and cellular functions. Proteins rarely carry out their tasks in isolation …