activity
20192026
most citedAn empirical estimation for time and memory algorithm complexities: newly developed R package

17 citations · 47 across the 8 of their papers we have counts for

collaborators

8 papers

physics.data-an2026

Symmetry-Constrained Forecasting of Periodically Correlated Energy Processes

Cyril Voyant, Candice Banes, Luis Garcia-Gutierrez +3

Time series in energy systems, such as solar irradiance, wind speed, or electrical load, are characterized by strong diurnal and seasonal periodicities. Accurate forecasting requir…

cs.CV2025

Video Forgery Detection for Surveillance Cameras: A Review

Noor B. Tayfor, Tarik A. Rashid, Shko M. Qader +14

The widespread availability of video recording through smartphones and digital devices has made video-based evidence more accessible than ever. Surveillance footage plays a crucial…

stat.ME2025

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm

Merve Basaran, Ufuk Beyaztas, Han Lin Shang +1

Accurate prediction of spatially dependent functional data is critical for various engineering and scientific applications. In this study, a spatial functional deep neural network…

cs.SE2023★ 6 cited

Awareness requirement and performance management for adaptive systems: a survey

Tarik A. Rashid, Bryar A. Hassan, Abeer Alsadoon +4

Self-adaptive software can assess and modify its behavior when the assessment indicates that the program is not performing as intended or when improved functionality or performance…

cs.NE2022★ 8 cited

Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem

Barzan Hussein Tahir, Tarik A. Rashid, Hafiz Tayyab Rauf +4

Economic Load Dispatch depicts a fundamental role in the operation of power systems, as it decreases the environmental load, minimizes the operating cost, and preserves energy reso…

stat.AP2021

A functional autoregressive model based on exogenous hydrometeorological variables for river flow prediction

Ufuk Beyaztas, Han Lin Shang, Zaher Mundher Yaseen

In this research, a functional time series model was introduced to predict future realizations of river flow time series. The proposed model was constructed based on a functional t…

physics.chem-ph2021★ 16 cited

Valorization of incinerator bottom ash for the production of resource-efficient eco-friendly concrete: Performance and toxicological characterization

Ramesh B. M., Rahul Murali Vongole, Yashas Nagraj +5

The disposal of incinerator bottom ash usually produced by the incineration of inorganic constituents of the municipal solid wastes (MSW) in an eco-friendly way is one of the issue…

cs.DS2019★ 17 cited

An empirical estimation for time and memory algorithm complexities: newly developed R package

Marc Agenis-Nevers, Neeraj Dhanraj Bokde, Zaher Mundher Yaseen +1

This article introduces GuessCompx which is an R package that performs an empirical estimation on the time and memory complexities of an algorithm or a function. It tests multiple…