Results 21 to 30 of about 4,702 (258)

Accuracy Evaluation of Multi-Factor Forecasting Methods for Customer Service Workload Prediction Under Holiday and Promotional Fluctuations: Evidence from U.S. Service Industry Data

Journal of Advanced Computing Systems
Accurate prediction of customer service workload is essential for workforce scheduling and resource allocation in the U.S. service industry. This study conducts a comparative evaluation of four forecasting approaches—Seasonal Autoregressive Integrated ...
Yajing Zhang, Minhao Li
doaj   +1 more source

Forecasting call and chat volumes at online helplines for mental health

BMC Public Health, 2023
Background Each year, many help seekers in need contact health helplines for mental support. It is crucial that they receive support immediately, and that waiting times are minimal. In order to minimize delay, helplines must have adequate staffing levels,
Tim Rens de Boer, Saskia Mérelle, Sandjai Bhulai, Renske Gilissen, Rob van der Mei   +4 more
doaj   +1 more source

Robustness of Workload Forecasting Models in Cloud Data Centers: A White-Box Adversarial Attack Perspective

IEEE Access
Cloud computing has become the cornerstone of modern technology, propelling industries to unprecedented heights with its remarkable and recent advances.
Nosin Ibna Mahbub, Md. Delowar Hossain, Sharmen Akhter, Md. Imtiaz Hossain, Kimoon Jeong, Eui-Nam Huh   +5 more
doaj   +1 more source

Multi-Indicator Forecasting of Road Freight Transport Workload for Operational Planning

Applied Sciences
This article presents a multi-indicator approach to forecasting the monthly workload of a military road freight transport system in support of operational planning.
Jakub Konwerski, Jarosław Ziółkowski
doaj   +1 more source

Classification and Prediction of Driver’s Mental Workload Based on Long Time Sequences and Multiple Physiological Factors

IEEE Access, 2023
The driver’s mental workload is closely related to driving safety. However, how to analyze the driver’s mental workload in a reasonable and correct manner remains an open question. As an important factor to evaluate mental workload, changes
Wanyu Wei, Xinsha Fu, Yaqiao Zhu, Ning Lu, Siqi Ma   +4 more
doaj   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

Auto-Scaling Techniques in Cloud Computing: Issues and Research Directions

Sensors
In the dynamic world of cloud computing, auto-scaling stands as a beacon of efficiency, dynamically aligning resources with fluctuating demands. This paper presents a comprehensive review of auto-scaling techniques, highlighting significant advancements ...
Saleha Alharthi, Afra Alshamsi, Anoud Alseiari, Abdulmalik Alwarafy   +3 more
doaj   +1 more source

Efficient Query Workload Prediction Algorithm Based on TCN-A [PDF]

Jisuanji kexue
The query workload prediction algorithm based on a novel time series prediction model is proposed to address the pro-blem of database management system cannot be optimized in time due to the dynamic change of query workload and the difficulty of ...
BAI Wenchao, BAI Shuwen, HAN Xixian, ZHAO Yubo
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source