Results 201 to 210 of about 27,717 (260)

Evaluation of Explainable Artificial Intelligence in IoT Intrusion Detection Systems Under DeepFool Adversarial Conditions. [PDF]

Sensors (Basel)
Munilla J, Khammas RM.
europepmc   +1 more source

Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang, Yuxin Lin, Mingyang Luo, Zhanghong Zeng   +3 more
wiley   +1 more source

Domain adaptive uplift modeling across heterogeneous mental health cohorts. [PDF]

iScience
Emran ANW, Al Islam ABMA.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

A Spatially Distributed Perturbation Strategy with Smoothed Gradient Sign Method for Adversarial Analysis of Image Classification Systems. [PDF]

Entropy (Basel)
Xu Y, Li J, Chang D, Dong Y.
europepmc   +1 more source

Lacking data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: A case study with muskox (Ovibos moschatus)

Remote Sensing in Ecology and Conservation, EarlyView.
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand, Samuel Foucher, Alexandre Delplanque, Joëlle Taillon, Jérôme Théau   +4 more
wiley   +1 more source

An Inverse Generalized Conversion Filter for State Estimation in Nonlinear Adversarial Sensing Systems. [PDF]

Sensors (Basel)
Xi YA, Dong XH, Wu SY.
europepmc   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Exact feature collisions in neural networks. [PDF]

Sci Rep
Ozbulak U, Rao S, De Neve W, Vankerschaver J, Van Messem A, Gasparyan M.   +5 more
europepmc   +1 more source