|
|
|
|
|
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble met...
ver más
|
|
|
|
|
|
|
|
|
Bojan Milovanovic, Predrag Vojt, Budo Zindovic, Vladan Kuzmanovic and Ljubodrag Savic
This paper presents a methodology for estimation of hydrodynamic loads acting on the bottom and at the walls of a stilling basin of a stepped chute with converging walls, based on the pressure measurements at the selected points of a scale model. This is...
ver más
|
|
|
|
|
|
|
|
|
Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza and Fan Zhang
Surveillance video analytics encounters unprecedented challenges in 5G and IoT environments, including complex intra-class variations, short-term and long-term temporal dynamics, and variable video quality. This study introduces Edge-Enhanced TempoFuseNe...
ver más
|
|
|
|
|
|
|
|
|
Maryam Badar and Marco Fisichella
Fairness-aware mining of data streams is a challenging concern in the contemporary domain of machine learning. Many stream learning algorithms are used to replace humans in critical decision-making processes, e.g., hiring staff, assessing credit risk, et...
ver más
|
|
|
|
|
|
|
|
|
Alice Rene? Di Rocco, Dario Bottino-Leone, Alexandra Troi and Daniel Herrera-Avellanosa
The challenge of transforming historic buildings and city centers into energy-self-sufficient environments requires innovative solutions. The research project ?BiPV meets History? addressed this challenge by providing comprehensive guidelines for assessi...
ver más
|
|
|
|