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Applied Sciences, Vol. 16, Pages 7992: Cabbage Height, Volume, and Distance Measurements Using LiDAR, RGB, and RGB-D Imaging
1+ hour, 5+ min ago (574+ words) Conventional methods of plant distance and volume measurements are limited by low efficiency, limited spatial coverage, and high measurement error. LiDAR and RGB-D imaging offer cost-effective, precise, and non-destructive techniques for plant distance and volume measurements. This study aimed to…...
Applied Sciences, Vol. 16, Pages 7982: Integration of AI-Based Weed Detection and Robotic Actuation for Site-Specific Under-Canopy Spraying in Woody Crops
1+ hour, 26+ min ago (471+ words) Weed management in woody perennial crops relies mainly on broadcast herbicide application, with well-documented costs to soil health, biodiversity, and crop physiology. Robotic platforms offer a path toward selective, site-specific control, but orchard environments present challenges such as irregular geometries,…...
Applied Sciences, Vol. 16, Pages 7978: Research on Lightweight Stylistic Features for Author Verification
3+ hour, 44+ min ago (446+ words) Author verification is a fundamental task in natural language processing with potential applications in digital forensics, copyright dispute resolution, and social media account linkage. While existing deep pre-trained models achieve high accuracy, they incur substantial computational costs, high inference latency,…...
Applied Sciences, Vol. 16, Pages 7974: SecureMCP: Policy-Enforced Defense Against Prompt Injection in LLM-Generated SQL for AIoT Databases
4+ hour, 20+ min ago (524+ words) The deployment of Large Language Model (LLM)-generated SQL in Artificial Intelligence of Things (AIoT) systems introduces critical security risks, as prompt injection attacks can manipulate LLMs into producing unauthorized queries that expose sensitive data or execute destructive operations. Existing Natural…...
Applied Sciences, Vol. 16, Pages 7969: A Physics-Informed Machine Learning Framework for Adaptive Harmonic Mitigation in Residential Power Systems
20+ hour, 2+ min ago (311+ words) This study focuses on reducing harmonic distortion in residential electrical systems caused by the use of nonlinear household appliances. A combined prediction and control framework is proposed to estimate and reduce total harmonic distortion (THD) under different operating conditions. Measurements…...
Applied Sciences, Vol. 16, Pages 7968: A Noise-Robust Deep Learning Framework with Hierarchical Attention for Rock Image Recognition Under Inaccurate Supervision
20+ hour, 2+ min ago (499+ words) Rock image recognition based on deep learning serves as a critical task in intelligent geological analysis and core documentation. Although recent advances in deep learning have established the technical foundation for rock image identification, its practical deployment remains constrained by…...
Applied Sciences, Vol. 16, Pages 7964: Beyond Accuracy: Pneumonia Severity Grading in Chest X-Rays Using RSNA 2018 Bounding-Box Extent Metadata and ViT
21+ hour, 11+ min ago (418+ words) Chest X-ray pneumonia assessment is commonly formulated as a binary classification problem that does not explicitly represent radiographic burden. In this work, we reinterpret the RSNA 2018 Pneumonia Detection Challenge dataset by using expert bounding-box annotations to derive three burden-oriented groups:…...
Applied Sciences, Vol. 16, Pages 7965: Machine Learning-Guided Metaheuristic Optimization for PID Design in Load Frequency Control of a Two-Area PV–Thermal Power System
21+ hour, 20+ min ago (661+ words) The problem of load frequency control (LFC) becomes more severe with the extensive integration of photovoltaic (PV) generation owing to the intermittent nature of the source. In this study, a machine learning approach is developed to design the proportional–integral…...
Applied Sciences, Vol. 16, Pages 7957: Advances in Binocular Stereo Vision-Driven 3D Perception and Intelligent Analysis Methods for Agriculture
23+ hour, 10+ min ago (426+ words) Binocular stereo vision is a low-cost and scalable 3D perception technology that shows strong potential in agricultural phenotyping and smart agriculture. By estimating depth from multi-view RGB images, it enables non-contact, high-precision sensing of crop structure, canopy morphology, growth dynamics, and…...
Applied Sciences, Vol. 16, Pages 7952: Profiling the Invisible Insider: A UEBA-Based Machine Learning Framework for Low-and-Slow Data Exfiltration Detection
23+ hour, 26+ min ago (568+ words) Low-and-slow data exfiltration by malicious insiders remains among the most operationally difficult threat classes to detect: the behavior is unremarkable in any individual session and becomes recognizable only across weeks of otherwise routine activity. This paper presents a UEBA-based machine…...