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  • Open Access

Existing unsupervised anomaly detection methods suffer from insufficient parameter precision, poor robustness to noise, and limited generalization capability. To address these issues, this paper proposes an Adaptive Diffusion Adversarial Evolutionary...

  • Review
  • Open Access

Foundation models (FMs) have become a paradigm shift in the field of artificial intelligence, allowing one large-scale pretrained model to be customized for a broad set of downstream tasks using very little task-specific data. These models, which inc...

  • Article
  • Open Access

Sustainable virtualization is essential for enterprises seeking to reduce energy use, increase resource efficiency, and connect IT operations with global sustainability goals. This study describes a hybrid decision-support framework that uses the ISO...

  • Article
  • Open Access
26 Views
30 Pages

The environment of today’s companies is marked by increasing dynamism. Rapid technological developments, strong innovation impulses, and continual market entry of new competitors create volatile conditions that make the delivery of valuable pro...

  • Article
  • Open Access
33 Views
18 Pages

A Data-Driven Two-Phase Energy Consumption Prediction Method for Injection Compressor Systems in Underground Gas Storage

  • Ying Yang,
  • De Tang,
  • Guicheng Yu,
  • Junchi Zhou,
  • Jinsong Yang,
  • Tingting Jiang,
  • Zixu Huang and
  • Jianguo Miao

Since the compressor system in underground gas storage (UGS) facilities operates under highly dynamic and complex injection conditions, traditional rule-based operation and mechanism-based modeling approaches prove inadequate for meeting the stringen...

  • Article
  • Open Access
66 Views
25 Pages

Interferometers are essential tools for quality control of optical surfaces. While interferometric techniques like phase-shifting interferometry offer high accuracy, they involve complex setups, require stringent calibration, and are sensitive to pha...

  • Article
  • Open Access
88 Views
22 Pages

Coordinating operating room schedules with downstream inpatient bed availability remains a critical challenge for hospitals, particularly under emergency-driven uncertainty. Emergency arrivals introduce variability that propagates congestion across s...

  • Article
  • Open Access
140 Views
21 Pages

Robot navigation refers to a robot’s ability to determine its position within a reference frame and plan a path to a target location. Visual navigation, which relies on visual sensors such as cameras, is one approach to this problem. Among visu...

  • Article
  • Open Access
179 Views
23 Pages

Scenario-Based Analysis of the Future Technological Trends in the Automotive Sector in Southeast Lower-Saxony

  • Armin Stein,
  • Lars Everding,
  • Henrik Münchhausen,
  • Björn Krüger,
  • Bassem Hichri,
  • Maximilian Flormann,
  • Axel Wolfgang Sturm and
  • Thomas Vietor

The automotive industry faces radical technological change, driven by the adoption of electrification, automation, and digitalization. As a leading industrial hub with key OEMs and suppliers, such as Volkswagen, Southeast Lower Saxony is disproportio...

  • Article
  • Open Access
193 Views
19 Pages

This study investigates an intermodal routing problem for emergency materials in the early stage of post-disaster recovery, in which the rapid transportation of emergency materials is formulated as the objective. To achieve reliable transportation th...

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Appl. Syst. Innov. - ISSN 2571-5577