This is a summary of this problem-solving research to gain a quick insight into all key findings and discussions. This research aims to answer the main question which is "How to reduce the order picking process time in the fulfillment center of Asyad Express in Muscat with 30% compared to the current …

With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured …

Despite the current terminology debate, little is known about the terminology experiences of people with disabilities and their relatives. Therefore, their interviews and letters to editors about disability terminology experiences published in Dutch newspapers between 1950 and 2020 were examined using …

SPECIAL SESSIONPanel discussion1. Overcoming challenges in local green H2 economiesOrganizer:Dr Beata KviatekJean Monnet Chair in Sustainable EU Economy, Centre of Expertise Energy / International Business School / Hanze University of Applied Sciences Groningen, the NetherlandsOne of the main pathways …

Community energy can be conceptualized as a social movement, which aims to develop a sustainable, democratic, and localist energy system. Community energy organizations often take the form of cooperatives and strive for a high level of participation at the neighborhood level. Recently, community energy …

This study addresses the challenges facing the City of Praia, the capital of Cape Verde, in adapting to climate changes and reducing the effects of flash floods. Praia is highly vulnerable to these extreme weather events, due to its volcanic scenery, uncontrolled urbanization, and insufficient infrastructure, …

In this work, a feasible and low-cost approach is proposed for level measurement in multiphase systems inside tanks used for petroleum-derived oil production. The developed level sensor system consisted of light-emitting diodes (LEDs), light-dependent resistor (LDR), and a low-cost microprocessor. Two …

Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …

Objective To evaluate the incidence, diagnostic management strategies and clinical outcomes of women with spontaneous haemoperitoneum in pregnancy (SHiP) and reassess the definition of SHiP. Design A population-based cohort study using the Netherlands Obstetric Surveillance System (NethOSS). Setting Nationwide, …

The recent advancements in machine learning (ML) techniques have significantly improved the performance in various natural language processing (NLP) tasks, particularly in deep learning with the transformer architecture. Despite their promising applications in different domains, these innovations have …