[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
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 …

A systematic survey on big data and artificial intelligence algorithms for intelligent transportation system

S Abirami, M Pethuraj, M Uthayakumar… - Case Studies on Transport …, 2024 - Elsevier
Rapid urbanization and globalization have resulted in intolerable congestion and traffic,
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 …

Explainable Boosting Machine: A Contemporary Glass-Box Strategy for the Assessment of Wind Shear Severity in the Runway Vicinity Based on the Doppler Light …

A Khattak, J Zhang, PW Chan, F Chen, H Almujibah - Atmosphere, 2023 - mdpi.com
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 …

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 …

Employee Hiring using Machine Learning

V Rathor, N Kaur, R Rautela - 2022 International Conference …, 2022 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

Provenance-based smart parking system with multilevel fog nodes

N Gul, AM Khattak, M Ali, B Hayat… - 2023 28th Asia …, 2023 - ieeexplore.ieee.org
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 …