[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …
A systematic survey on big data and artificial intelligence algorithms for intelligent transportation system
Rapid urbanization and globalization have resulted in intolerable congestion and traffic,
necessitating the investigation of Intelligent Transportation Systems (ITS). ITS employs …
necessitating the investigation of Intelligent Transportation Systems (ITS). ITS employs …
SHFW: second-order hybrid fusion weight–median algorithm based on machining learning for advanced IoT data analytics
T Tu, Y Su, Y Tang, G Guo, W Tan, S Ren - Wireless Networks, 2023 - Springer
IoT applications have greatly improved the convenience of our lives, generating large
amounts of IoT data. How to efficiently use these data to feed IoT applications has become a …
amounts of IoT data. How to efficiently use these data to feed IoT applications has become a …
Explainable Boosting Machine: A Contemporary Glass-Box Strategy for the Assessment of Wind Shear Severity in the Runway Vicinity Based on the Doppler Light …
Pilots commonly undergo training to effectively manage instances of wind shear (WS) during
both the landing and takeoff stages. Nevertheless, in exceptional circumstances, there may …
both the landing and takeoff stages. Nevertheless, in exceptional circumstances, there may …
Prediction of Heart Disease Using Naive Bayes in Comparison with KNN Based on Accuracy
GR Thummala, R Baskar… - … Conference on Cyber …, 2022 - ieeexplore.ieee.org
The aim of the study is to predict heart disease by using naive bayes technique and to
increase the accuracy in prediction using machine learning classifiers by comparing their …
increase the accuracy in prediction using machine learning classifiers by comparing their …
Employee Hiring using Machine Learning
Hiring good employees is one of the vital components for a company's performance. In this
study we have tested the recruitment/selection process on the performance of the candidate …
study we have tested the recruitment/selection process on the performance of the candidate …
An Effective Approach for the Prediction of Car Loan Default Based-on Accuracy, Precision, Recall Using Extreme Logistic Regression Algorithm and K-Nearest …
DJP Reddy, M Gunasekaran… - … Conference on Cyber …, 2022 - ieeexplore.ieee.org
The objective of the work is Car Loan Forecasting Using an Extreme Logistic Regression
algorithm with novel credal sets and K-Nearest Neighbors algorithm. Machine Learning …
algorithm with novel credal sets and K-Nearest Neighbors algorithm. Machine Learning …
Internet of Things based Accident Detection and Alerting System to Save Lives
G Padmapriya, R Krishnaswamy… - … and Control Systems …, 2023 - ieeexplore.ieee.org
More people are killed or injured in vehicle crashes every year. Delay in emergency
preparedness is the primary cause of fatalities. The magic hour is the period immediately …
preparedness is the primary cause of fatalities. The magic hour is the period immediately …
Design of 8: 1 multiplexer using gate diffusion input (GDI) technique and comparison of delay performance with pass transistor logic
BS Kumar, S Jayanthi - 2022 14th International Conference …, 2022 - ieeexplore.ieee.org
Lot of advancement in VLSI technology makes low power and low energy as important
issues in consumer electronics. In digital circuits, multiplexer or data selector plays an …
issues in consumer electronics. In digital circuits, multiplexer or data selector plays an …
Provenance-based smart parking system with multilevel fog nodes
The advent of smart cities and IoT resulted in smart applications like smart traffic, energy
management systems, smart parking systems, waste management systems, and public …
management systems, smart parking systems, waste management systems, and public …