Generative Models for Time Series Anomaly Detection: A Survey See

Time series anomaly detection (TSAD) is a fundamental practice in information management, aimed at identifying unusual patterns in temporal datasets. This process is critical to maintaining the integrity and reliability of systems. Recently, generative models have significantly advanced the capabiliti...

Learning Accurate Representation to Nonstandard Tensors via a Mode-Aware Tucker Network See

A nonstandard tensor is frequently adopted to model a large-sale complex dynamic network. A Tensor Representation Learning (TRL) model enables extracting valuable knowledge form a dynamic network via learning low-dimensional representation of a target nonstandard tensor. Nevertheless, the representation&#x...

Integrated Underfrequency Load Shedding Strategy for Islanded Microgrids Integrating Multiclass Load-Related Factors See

Reducing the decision response time of load shedding while considering the comprehensive value of load shedding is one of the main challenges faced in emergency control of islanded microgrids. However, the existing underfrequency load shedding strategies do not fully consider the multiple&#x...

A parallel distributed bargaining mechanism for joint electricity-carbon trading in multi-energy manufacturing plant networks See

Manufacturing plants (MPs) are energy-consuming and carbon-intensive industrial entities facing significant challenges in reducing energy costs and carbon emissions. Enabling local electricity and carbon trading among MPs offers a promising solution to address these challenges. However, existing research l...

Operationalising sustainability in professional kitchens: The interplay of chef competencies, environmental values and human resource management strategies See

Food waste reduction and lowering greenhouse gas emissions (GHGE) of diets are key focus areas of the food systems transition. Inspired by the ecological systems theory, this exploratory study assesses how chefs' competencies, environmental values, human resource management (HRM) practices in...

Graphene-Based Biosensors: Enabling the Next Generation of Diagnostic Technologies—A Review See

Graphene, a two-dimensional carbon material with a hexagonal lattice structure, possesses remarkable properties. Exceptional electrical conductivity, mechanical strength, and high surface area that make it a powerful platform for biosensing applications. Its sp2-hybridised network facilitates efficient electron ...

Breaking new ground in sustainability (SD): a novel integrated framework for eco/green-innovation (EI) and green supply chain management (GSCM) implementation in emerging economies – evidence from Jordan’s industrial transformation See

The Emerging economies face a Sustainability (SD) paradox is the need to adopt green logistics and supply chain practices while constrained by limited resources and inadequate institutional frameworks. This study tackles three core challenges: (1) the absence of context-specific theories explaini...

Cutting-edge advances in hydrogen applications for the medical and pharmaceutical industries See

The adoption of clean hydrogen is expected to transform the global energy landscape, reducing greenhouse gas emissions, bridging gaps in renewable energy integration, and driving innovation across multiple sectors. In the medical and pharmaceutical industries, hydrogen offers unique opportunities for&...

Environmental impact assessment of multifunctional desalination systems See

The desalination sector adopts Minimal Liquid Discharge (MLD) systems to become more circular, reduce brine discharge and enhance water recovery, which transforms them to multifunctional systems. This multifunctionality requires a methodologically consistent and goal-aligned approach to environmental impact...