Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Ihshaish, Hisham"'
We present the first empirical study on customer churn prediction in the scholarly publishing industry. The study examines our proposed method for prediction on a customer subscription data over a period of 6.5 years, which was provided by a major ac
Externí odkaz:
http://arxiv.org/abs/2211.09970
We introduce the first automated models for classifying natural language descriptions provided in cost documents called "Bills of Quantities" (BoQs) popular in the infrastructure construction industry, into the International Construction Measurement
Externí odkaz:
http://arxiv.org/abs/2211.07705
Publikováno v:
Lecture Notes in Computer Science. Springer. Artificial Neural Networks and Machine Learning, ICANN 2022 pp 445 454
IT helpdesks are charged with the task of responding quickly to user queries. To give the user confidence that their query matters, the helpdesk will auto-reply to the user with confirmation that their query has been received and logged. This auto-re
Externí odkaz:
http://arxiv.org/abs/2211.07603
Publikováno v:
Lecture Notes in Computer Science. Springer. Artificial Neural Networks and Machine Learning, ICANN 2022 pp 1 13
Exploring search spaces is one of the most unpredictable challenges that has attracted the interest of researchers for decades. One way to handle unpredictability is to characterise the search spaces and take actions accordingly. A well-characterised
Externí odkaz:
http://arxiv.org/abs/2209.06114
The forecasting of large ramps in wind power output known as ramp events is crucial for the incorporation of large volumes of wind energy into national electricity grids. Large variations in wind power supply must be compensated by ancillary energy s
Externí odkaz:
http://arxiv.org/abs/2211.17017
Autor:
Asquith, Phoebe M, Ihshaish, Hisham
Publikováno v:
In Proceedings of the 23rd International Database Applications & Engineering Symposium IDEAS 2019
The classification of electroencephalography (EEG) signals is useful in a wide range of applications such as seizure detection/prediction, motor imagery classification, emotion classification and drug effects diagnosis, amongst others. With the large
Externí odkaz:
http://arxiv.org/abs/2209.01023
Autor:
Fellows, Ryan, Ihshaish, Hisham, Battle, Steve, Haines, Ciaran, Mayhew, Peter, Deza, J. Ignacio
Publikováno v:
David C. Wyld et al. (Eds): SIPP, NLPCL, BIGML, SOEN, AISC, NCWMC, CCSIT - 2022 pp. 69-87, 2022. CS & IT - CSCP 2022
Task-oriented dialogue systems (TODS) are continuing to rise in popularity as various industries find ways to effectively harness their capabilities, saving both time and money. However, even state-of-the-art TODS are not yet reaching their full pote
Externí odkaz:
http://arxiv.org/abs/2112.11176
Autor:
Deza, J Ignacio, Ihshaish, Hisham
Publikováno v:
SoftwareX Volume 18, June 2022, 101034
We introduce a software generator for a class of colored (self-correlated) and non-Gaussian noise, whose statistics and spectrum depend on two parameters, $q$ and $\tau$. Inspired by Tsallis' nonextensive formulation of statistical physics, the so-ca
Externí odkaz:
http://arxiv.org/abs/1812.07451
Publikováno v:
In Egyptian Informatics Journal March 2022 23(1):73-82
Autor:
Ihshaish, Hisham W. Y.
Publikováno v:
TDX (Tesis Doctorals en Xarxa).
El objetivo principal del presente trabajo es abordar el problema de precisión y tiempo de espera en la predicción meteorológica, la cual es habitualmente llevada a cabo por aplicaciones computaciones conocidas como modelos de predicción meteorol
Externí odkaz:
http://hdl.handle.net/10803/117612