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Applied Sciences, Vol. 16, Pages 9076: Explainable Cattle Identification via ArcFace Embeddings and Vision–Language Explanations
10+ hour, 45+ min ago (567+ words) Individual cattle identification underpins traceability, genetic management and disease surveillance in precision livestock farming. Ear tags and RFID remain the dominant practice but are subject to loss, tampering and welfare concerns, which motivates contactless biometric alternatives. Most deep learning systems…...
Applied Sciences, Vol. 16, Pages 9075: An Investigative Study of Widely Used Ergonomic Risk Assessment Methods Based on Machine Learning and MCDM Approaches
11+ hour, 59+ min ago (512+ words) REBA, RULA, and OWAS are widely used observational ergonomic risk assessment methods based on predefined ordinal scoring rules. The final risk scores generated by these methods play a critical role in determining and prioritizing ergonomic interventions under limited resources to…...
Applied Sciences, Vol. 16, Pages 9058: From Risk Visualization to Human-Centred Interfaces: A Scoping Review of Digital Technologies for Risk Communication
17+ hour, 45+ min ago (478+ words) Digital risk communication increasingly relies on interactive technologies to transform complex, uncertain, and probabilistic information into forms that can support human understanding and decision-making. Yet the literature is fragmented across application domains, technologies, and interaction paradigms. This scoping review maps…...
Applied Sciences, Vol. 16, Pages 9001: Agentic AI-Enabled Digital Twins for Intelligent Non-Destructive Testing of 3D-Printed Rehabilitation Equipment—A Narrative Review
2+ day, 11+ hour ago (688+ words) Digital twins (DTs) based on agent-based artificial intelligence (Agentic AI) provide a transformative framework for streamlining nondestructive testing (NDT) of 3D-printed rehabilitation equipment. This study applies a conceptual research methodology based on the integration and analysis of recent advances in…...
Applied Sciences, Vol. 16, Pages 8968: Mobile Aseptic Processing Platforms for Decentralized Food Preservation: Engineering and Applications for Circular and Resilient Food Manufacturing
2+ day, 20+ hour ago (492+ words) Total postharvest losses of fresh fruits and vegetables in tropical and subtropical agricultural systems frequently exceed 30 percent, driven by high crop perishability, limited cold-chain infrastructure, and the geographic concentration of conventional processing facilities far from production zones. This review examines…...
Applied Sciences, Vol. 16, Pages 8955: A Systematic Review of AI Methods Across the MRI Analysis Pipeline for Multiple Sclerosis Progression Prediction
3+ day, 11+ hour ago (422+ words) Magnetic resonance imaging (MRI)-based prediction of multiple sclerosis (MS) progression depends on how imaging data are prepared, represented, modelled, and evaluated. This systematic review synthesized artificial intelligence (AI) methods across the MRI-to-prediction pipeline. PubMed, Scopus, Web of Science, and…...
Applied Sciences, Vol. 16, Pages 8941: Addressing Underrepresented Bundles in Tractography Segmentation with Synthetic Oversampling
3+ day, 18+ hour ago (46+ words) Tractography from diffusion MRI enables the mapping of white matter pathways. A key challenge is the automatic segmentation of streamlines into anatomically meaningful bundles, which is strongly affected by class imbalance: common bundles dominate the training data, whereas bundles such…...
Applied Sciences, Vol. 16, Pages 8927: Accurate Structural Parameter Retrieval for One-Dimensional Nanogratings in Mueller-Matrix Spectroscopic Ellipsometry Using an Element-Adaptive Hybrid Surrogate Model
4+ day, 11+ hour ago (464+ words) Mueller-matrix spectroscopic ellipsometry (MMSE) enables accurate characterization of nanostructures; however, structural-parameter retrieval remains challenging because of the high computational cost of rigorous coupled-wave analysis (RCWA), element-dependent prediction errors in the forward surrogate model, and instability caused by measurement noise. In…...
Applied Sciences, Vol. 16, Pages 8912: Artificial Intelligence for Early Prediction and Diagnosis of Neonatal Sepsis: Current Evidence, Challenges, and Future Directions
4+ day, 15+ hour ago (466+ words) Neonatal sepsis remains a major cause of morbidity and mortality worldwide, while timely diagnosis continues to be challenging because of nonspecific clinical manifestations and limitations of conventional diagnostic methods. Recent advances in artificial intelligence (AI) have created new opportunities for…...
Applied Sciences, Vol. 16, Pages 8903: Concept-Bottleneck Models with Expert-Discovered Versus Automatically-Discovered Concepts: A Comparative Study on Fine-Grained Fungal Classification
4+ day, 18+ hour ago (385+ words) Interpretable-by-design architectures, such as Concept-Bottleneck Models (CBMs), are essential for trustworthy AI under regulations like the EU AI Act. While classical CBMs rely on costly expert labels, recent automated methods use vision–language models for concept discovery. However, whether automation…...