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Improving flood-prone areas mapping using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms.
J Environ Manage
January 2025
Dept. of Computer Science & Engineering and Convergence Engineering for Intelligent Drone, XR Research Center, Sejong University, Seoul, Republic of Korea. Electronic address:
Flooding presents substantial dangers to human lives and infrastructure, underscoring the need to map flood-prone areas to implement effective mitigation measures precisely. Although machine learning algorithms have made great strides, their accuracy in flood susceptibility mapping (FSM) remains limited due to data dependence, interpretability, and explainability issues, overfitting, generalization difficulties, and hyperparameter tuning. This study suggests combining the Decision Tree (DT) algorithm with advanced, math-based metaheuristic optimization algorithms to address these limitations.
View Article and Find Full Text PDFIncreasing Neural-Based Pedestrian Detectors' Robustness to Adversarial Patch Attacks Using Anomaly Localization.
J Imaging
January 2025
Science and Research Department, Moscow Technical University of Communications and Informatics, 111024 Moscow, Russia.
Object detection in images is a fundamental component of many safety-critical systems, such as autonomous driving, video surveillance systems, and robotics. Adversarial patch attacks, being easily implemented in the real world, provide effective counteraction to object detection by state-of-the-art neural-based detectors. It poses a serious danger in various fields of activity.
View Article and Find Full Text PDFFitness for Purpose of Text-to-Image Generative Artificial Intelligence Image Creation in Medical Imaging.
J Nucl Med Technol
January 2025
Charles Sturt University, Wagga Wagga, New South Wales, Australia.
The recent emergence of text-to-image generative artificial intelligence (AI) diffusion models such as DALL-E, Firefly, Stable Diffusion, and Midjourney has been touted with popular hype about the transformative potential in health care. This hype-driven, rapid assimilation comes with few professional guidelines and without regulatory oversight. Despite documented limitations, text-to-image generative AI creations have permeated nuclear medicine and medical imaging.
View Article and Find Full Text PDFExploring diagnostic stewardship in the emergency department evaluation of pediatric abdominal pain in a statewide quality collaborative.
Acad Emerg Med
January 2025
Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Background: Diagnostic stewardship is the effort to optimize diagnostic testing to reduce errors while avoiding overtesting and overtreatment. Abdominal pain and appendicitis in children are essential use cases. Delayed diagnosis of appendicitis can be dangerous and even life-threatening, but overtesting is harmful.
View Article and Find Full Text PDFPrediction of peak particle velocity using hybrid random forest approach.
Sci Rep
December 2024
School of Civil Engineering, Liaoning Technical University, Fuxin, 123000, China.
Blasting excavation is widely used in mining, tunneling and construction industries, but it leads to produce ground vibration which can seriously damage the urban communities. The peak particle velocity (PPV) is one of main indicators for determining the extent of ground vibration. Owing to the complexity of blasting process, there is controversy over which parameters will be considered as the inputs for empirical equations and machine learning (ML) algorithms.
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