Algorithm Scopus Q1

Special Issue Invitation:

👍 Dear Colleagues,

Image recognition algorithms have become a core enabler of modern intelligent systems, supporting a wide range of real-world applications such as medical screening, industrial inspection, transportation safety, smart cities, environmental monitoring, and remote sensing. At the same time, practical deployment still faces major challenges, such as domain shift across environments and sensors, limited annotations, noisy or low-quality imagery, real-time and edge-computing constraints, and the need for interpretable and trustworthy decisions.

🤩 This Special Issue, “Applications of Image Recognition Algorithms”, aims to gather original, high-quality contributions that advance image recognition methods and their practical impact. We welcome manuscripts that propose new recognition algorithms, improve robustness and efficiency, enhance interpretability and reliability, or demonstrate strong application value through comprehensive experiments and reproducible evaluation. The objective of this Special Issue is to bring together leading scientists and practitioners and create an interdisciplinary platform to share computational theories, methodologies, and techniques for image recognition in realistic scenarios.

💞 In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

☑️ Image classification (multi-class, multi-label, fine-grained recognition);

☑️ Object detection, instance segmentation, and scene understanding;

☑️ Robust recognition under domain shift (weather, illumination, sensor variation);

☑️ Self-supervised, semi-supervised, and weakly supervised recognition;

☑️ Knowledge-guided recognition (graphs, ontologies, structured priors);

☑️ Lightweight recognition for edge devices (pruning, quantization, distillation);

☑️ Explainable and interpretable recognition (XAI, evidence-based prediction);

☑️ Uncertainty estimation, calibration, and risk-aware recognition;

☑️ Adversarial robustness and secure recognition pipelines;

☑️ Benchmarking, datasets, evaluation protocols, and reproducible pipelines;

☑️ Medical, industrial, agricultural, transportation, and environmental applications;