Results 81 to 90 of about 52,163 (250)
Value of Information of Improved Traceability in Fresh Produce Markets
Agribusiness, EarlyView.ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris +2 more
wiley +1 more source
American Journal of Business Science PhilosophyThis research develops a comprehensive hybrid framework to enhance Artificial Intelligence governance by ethically managing sensitive textual data through advanced classification techniques. Focusing on natural language processing (NLP) applications, the
Ziad Abdullah Alotaibi +1 more
doaj +1 more source
Annals of Gastroenterological Surgery, EarlyView.This review summarizes key advances from 2024 to 2025 that are reshaping esophageal cancer surgery toward a strategy‐oriented, personalized paradigm through the integration of immunotherapy, population aging, and intelligent technologies. Adjuvant nivolumab after neoadjuvant chemoradiotherapy remains the only perioperative approach with durable benefit,
Shuichiro Oya +2 more
wiley +1 more source
AgricultureThe automated detection and classification of immature macauba (Acrocomia aculeata) fruits is critical for improving post-harvest processing and quality control.
David Ribeiro +4 more
doaj +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Advanced Intelligent Discovery, EarlyView.Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Explainable Autoencoder-Based Anomaly Detection in IEC 61850 GOOSE Networks
IEEE AccessThe IEC 61850 Generic Object-Oriented Substation Event (GOOSE) protocol plays a critical role in real-time protection and automation of digital substations, yet its lack of native security mechanisms can expose power systems to sophisticated cyberattacks.
Dafne Lozano-Paredes +4 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Non-elementary speed up for model checking synchronous perfect recall
, 2010 We consider the complexity of the model checking problem for the logic of knowledge and past time in synchronous systems with perfect recall. Previously established bounds are k-exponential in the size of the system for specifications with k nested knowledge modalities.
Mika Cohen, Alessio Lomuscio
openaire +2 more sources
Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Advanced Intelligent Discovery, EarlyView.Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source
BMC Medical Research MethodologyBackground Supervised learning can accelerate article screening in systematic reviews, but still requires labor-intensive manual annotation. While large language models (LLMs) like GPT-3.5 offer a rapid and convenient alternative, their reliability is ...
Hui Chen +5 more
doaj +1 more source