Results 71 to 80 of about 5,201 (163)
Sysmon event logs for machine learning-based malware detection
Cyber Security and ApplicationsMalware poses a significant threat to modern computing environments, necessitating advanced detection techniques that can adapt to evolving attack methods.
Riki Mi’roj Achmad +3 more
doaj +1 more source
Machine Vision–Based Defect Detection and Quantitative Assessment for Pavement Maintenance
Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.An efficient detection and quantification of pavement defects is a significant challenge for intelligent road maintenance; nevertheless, current methodologies exhibit poor accuracy, inadequate lightweight characteristics, and substantial 2D quantification errors. This paper proposes a collection of efficient and lightweight methods.
Chenlang Zhou +5 more
wiley +1 more source
Crop, Forage &Turfgrass Management, Volume 11, Issue 2, December 2025.Abstract Recent technological advancements have led to the release of several commercially available near‐infrared (NIR) solutions, especially with handheld portable spectrometers. We define a NIR solution as the integration of hardware, software, and standardized operating protocols for handling and scanning samples.
Miguel S. Castillo +5 more
wiley +1 more source
Hybrid Sampling and Ensemble Learning for Food Safety Sampling Inspection Classification
Journal of Food ProtectionFood safety sampling inspection is critical for risk prevention in complex supply chains. However, extreme class imbalance, where unqualified samples are significantly outnumbered by qualified ones, biases machine learning (ML) models to prioritize ...
Ke Qin, Xiaoting Dai, Linhai Wu
doaj +1 more source
Ecography, Volume 2025, Issue 12, December 2025.Developing species distribution models (SDMs) requires high‐quality species occurrence records. These records, stemming from various sources with different sampling procedures, are often archived in open‐access databases, making automated data quality checks inevitable.
Anthony Basooma +10 more
wiley +1 more source
Persistent Genomic Erosion in Whooping Cranes Despite Demographic Recovery
Molecular Ecology, Volume 34, Issue 23, December 2025.ABSTRACT Integrating in‐situ (wild) and ex‐situ (captive) conservation efforts can mitigate genetic diversity loss and help prevent extinction of endangered wild populations. The whooping crane (Grus americana) experienced severe population declines in the 18th century, culminating in a collapse to ~20 individuals by 1944.
Claudia Fontsere +19 more
wiley +1 more source
MONITORING AND DIAGNOSING FAULTS IN ONLINE MODE USING TIME SERIES DATA
Системи обробки інформаціїThis paper describes a technique for using time series data to monitor and diagnose faults in production systems. Predictive maintenance is the focus of research in order to assess equipment condition and anticipate potential failures.
І.О. Кобилін +1 more
doaj +1 more source
Application of machine learning for seam profile identification in robotic welding
Machine Learning with ApplicationsThis paper addresses critical challenges in automated robotic welding, emphasizing precise weld groove profiling for pipe welding applications. By integrating advanced laser scanning technology with the Local Outlier Factor (LOF) algorithm, the research ...
Fatemeh Habibkhah, Mehrdad Moallem
doaj +1 more source
Research on Inconsistency Evaluation of Retired Battery Systems in Real-World Vehicles
BatteriesInconsistency is a key factor triggering safety problems in battery packs. The inconsistency evaluation of retired batteries is of great significance to ensure the safe and stable operation of batteries during subsequent gradual use. This paper summaries
Jiegang Wang +5 more
doaj +1 more source
A Participation Degree-Based Fault Detection Method for Wireless Sensor Networks
Sensors, 2019 In wireless sensor networks (WSNs), there are many challenges for outlier detection, such as fault detection, fraud detection, intrusion detection, and so on.
Wei Zhang +5 more
doaj +1 more source