This paper investigates a fairness-aware task assignment problem, where traditional models prioritize operational effectiveness while overlooking workload fairness. Motivated by real-world airport operations, we propose a multi-objective task assignm...
The assignment of hospital rooms to patients is a critical operational decision that has a direct impact on patient safety, infection control, and staff workload. This study introduces HRPM–IRC, an epidemiology-aware hyper-heuristic framework d...
Taichung is the center of the Taiwanese precision optical industry. Optics companies are modernized and automated, with most running 24 h production lines. With machines running around the clock, production lines must be assigned engineers to handle...
Artificial intelligence is reshaping warehouse work through algorithmic task allocation, scanner-based monitoring, KPI feedback, dynamic scheduling, and real-time performance control. Although these systems can improve coordination and operational vi...
Efficient resource allocation is a central challenge in multi-tenant cloud, fog, and edge environments, where heterogeneous tenants compete for shared resources under dynamic and uncertain workloads. Static or purely heuristic methods often fail to c...
Effective crew scheduling in hospitals with multiple personnel groups is essential for time efficiency and fair workload distribution. This study focuses on optimizing shift scheduling for a team of nurses, doctors, and caregivers working in the Pedi...
The assembly line worker assignment and balancing problem (ALWABP) has become a necessity for organizing workforces with different skill levels, particularly in Industry 5.0 environments and sheltered work centers. When the literature is examined, it...
Distributed stream processing engines (DSPEs) deploy multiple tasks on distributed servers to process data streams in real time. Many DSPEs have provided locality-aware stream partitioning (LSP) methods to reduce network communication costs. However,...
Geekbench is one of the most referenced cross-platform benchmarks in the mobile world. Most of its workloads are synthetic but some of them aim to simulate real-world behavior. In the mobile world, its microarchitectural behavior has been reported ra...
Cognitive workload is increasingly recognized as an important determinant of performance in cognitive tests and daily life activities. Cognitive workload is a measure of physical and mental effort allocation to a task, which can be determined through...
The growing adoption of serverless computing has highlighted critical challenges in resource allocation, policy fairness, and energy efficiency within multitenancy cloud environments. This research proposes a reinforcement learning (RL)-based adaptiv...
This study proposes a hybrid artificial intelligence (AI) framework for graduate subject allocation that enhances fairness, transparency, and operational efficiency in higher education institutions. Traditional subject allocation processes are predom...
Modern database systems require autonomous CPU scheduling frameworks that dynamically optimize resource allocation across heterogeneous workloads while maintaining strict performance guarantees. We present a novel hierarchical deep reinforcement lear...
21 August 2026
Introduction: Burnout results from chronic stress, consisting of emotional exhaustion, depersonalization and decreased personal accomplishment. The objective of this study was to assess the effects of coaching on physician burnout in military obstetr...
Blockchain has emerged as a decentralized and trustable ledger for recording and storing digital transactions. The mining process of Blockchain, however, incurs a heavy computational workload for miners to solve the proof-of-work puzzle (i.e., a seri...
Future programmable networks such as 5G/6G and large-scale IoT deployments demand dynamic and intelligent bandwidth control mechanisms to ensure stable Quality of Service (QoS) under highly variable traffic conditions. Conventional queue-based schedu...
Multi-project staff scheduling optimization is a critical challenge in engineering management. However, traditional methods often overlook employee welfare, resulting in scheduling solutions that lack a people-centered approach. This study develops a...
The COVID-19 pandemic greatly impacted care aides in long-term care facilities (LTCFs), exacerbating existing challenges and introducing new stressors that profoundly affected their job satisfaction, mental health, and overall well-being. This study...
With the increasing demand for takeaway delivery, more merchants are developing their takeaway delivery system to manage order fulfillment and enhance the consumer online experience. This study presents a mathematical model for merchant-operated take...
Computing services can be extended to infrastructure-limited areas through unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC). However, service provision continues to be challenging when spatially clustered ground users (GUs) are init...
We applied the Google OR-Tools Constraint Programming with Satisfiability (CP-SAT) solver to the nurse scheduling problem (NSP) to efficiently generate feasible and high-quality schedules under complex real-world constraints. The proposed model integ...
Research data management (RDM) combines a set of practices for the organization, storage and preservation of data from research projects. The RDM strategy of a project is usually formalized as a data management plan (DMP)—a document that sets o...
This paper presents a joint communication–computation optimization (JCCO) framework for energy-efficient resource allocation in edge-assisted swarm robotics. The proposed framework jointly optimizes task offloading, bandwidth allocation, transm...
Background: The aim of this study was to test the efficacy of an eight-week physical education program based on circuit training to better improve the overall physical and military-specific performance compared to a conventional physical education pr...
6 January 2021
Journalists are at particular risk of work-related stress and burnout. The objective of this study is to describe and analyze the principal factors involved in the appearance of burnout in communication professionals, as well as the possible interact...
1 June 2022
Background: Solid waste workers are exposed to a plethora of occupational hazards and may also experience work-related stress. Our study had three specific hypotheses: (1) waste workers experience effort–reward imbalance (ERI) with high self-re...
Drones have emerged as critical infrastructure for enhancing logistics efficiency in the emerging low-altitude economy, particularly in collaborative vehicle–drone research. However, existing research often neglects the impact of fair task allo...
Intelligent Tutoring Systems (ITS) can provide adaptive explanations, practice, feedback, and learner modelling at a scale that conventional one-to-one tutoring cannot readily achieve. Yet learning gains alone do not establish that an ITS is sustaina...
Due to the spike in online-retail demand during the pandemic, couriers confront increased workload and safety concerns, posing significant social-sustainability challenges for courier companies. This study explores the impact of social-sustainability...
Benchmarking has been central to performance evaluation for more than four decades. Reinhold P. Weicker’s 1990 survey in IEEE Computer offered an early, rigorous critique of standard benchmarks, warning about pitfalls that continue to surface i...
14 November 2026
Generative artificial intelligence (GenAI) complicates the interpretation of assessment in chemical engineering education: a correct calculation, coherent report or plausible design may not reveal the student’s own reasoning. This narrative rev...
This paper proposes a digital twin (DT)-enabled edge computing framework for healthcare task offloading in smart medical environments. The DT maintains a continuously synchronized virtual representation of the physical edge system, capturing queue st...
Introduction: Researchers’ interest in occupational burnout results primarily from the dangerous and extensive consequences of this phenomenon. The aim of the study was to analyze the level of occupational burnout among nurses and doctors in op...
Early detection of colorectal cancer can significantly facilitate clinicians’ decision-making and reduce their workload. This can be achieved using automatic systems with endoscopic and histological images. Recently, the success of deep learnin...
In dense Wi-Fi networks, achieving load balancing is critical to optimize network utilization and provide equitable network consumption among the users. Traditional Wi-Fi networks have issues in attaining effective load balancing. Software-Defined Ne...
Human-Robot Collaboration (HRC) is pivotal for flexible, worker-centric manufacturing in Industry 5.0, yet dynamic task allocation remains difficult because operator states—fatigue and skill—fluctuate abruptly. I address this gap with a h...
Recently, interest in optimizing judging schemes for large-scale innovation competitions has grown as the complexities in evaluation processes continue to escalate. Although numerous methods have been developed to improve scoring fairness and precisi...
In the last decade, the Industry 4.0 concept has introduced automation and cyber-physical systems as the core elements of future logistics, supported by an array of technologies, such as augmented reality (AR) providing the necessary support for the...
The harmonious coexistence of man and nature is the primary goal of the establishment of national parks. Creating an ecological service supply model that takes into account the efficiency of ecological services, the fairness of residents’ livel...
With the advancement of cyber threats, blockchain technology has evolved to have a significant role in providing secure and reliable decentralized applications. One of these applications is a remote voting system that allow voters to participate in e...
Organizations should support leaders in promoting their employees’ health in every possible way to achieve a sustainable workplace. A good way to support leaders could include getting feedback about their health-promoting behavior from their employee...
This article examines the production costs of cocoa farming in Côte d’Ivoire, West Africa, taking into account the opportunity cost approach. To this end, surveys were conducted among 228 farmers in three regions, Bonon, Soubré and...
Reported Speculative decoding (SD) speedups are difficult to compare because methods are commonly evaluated with different serving runtimes and configurations. We present SpecLLM, a pluggable evaluation framework that applies common scheduling, batch...
Recent trends have shown a greatly increasing number of users in the digital world, so there is a need for a large number of resources. To handle these resources, there is the need to manage and schedule in an optimized manner using artificial intell...
Efficient resource allocation is crucial in clusters with frugal Single-Board Computers (SBCs) possessing limited computational resources. These clusters are increasingly being deployed in edge computing environments in resource-constrained settings...
This study examines how Empowering (EL), Responsible (RL), and Ethical Leadership (EtL) relate to employees’ perceptions of Decent Work (DW) in a Portuguese public university, using the Job Demands–Resources (JD-R) framework. DW, defined...
Conventional teacher assessment is labor-intensive and subjective. Prior LLM-based systems improve scale but rely on post hoc rationales and lack built-in trust controls. We propose an explainable-by-design framework that couples (i) Dual-Lens Hierar...
Background/Objectives: Chronic diseases place sustained pressure on primary care systems worldwide. While artificial intelligence (AI) shows promise for supporting chronic disease management in primary care, the factors influencing its adoption and i...
Understanding the determinants of teacher mobility is important in order to implement effective policies for the recruitment, retention, and fair allocation of teachers. The teacher transfer policy implemented in Punjab, Pakistan, is intended to addr...
Hierarchical medical policies are widely used worldwide to reduce healthcare costs, rationalize the use of healthcare resources, and improve accessibility and fairness of healthcare services. However, few case studies have evaluated the effects and p...
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