Results 11 to 20 of about 62,722 (213)

Multi-FusNet–convolutional neural network with improved Huber loss function for plant leaf disease detection and classification

Frontiers in Plant Science
BackgroundRecently, plant disease detection and classification have become major concerns in agriculture. Early detection of plant diseases supports farmers to take precautionary actions to prevent the spread of infections across different parts of the ...
B. S. Shruthi, B. S. Shruthi, M. S. Narasimha Murthy, Eman Abdullah Aldakheel, Doaa Sami Khafaga   +4 more
doaj   +1 more source

Toward Efficient Generalization in 3D Human Pose Estimation via a Canonical Domain Approach

IEEE Access
Recent advancements in deep learning methods have significantly improved the performance of 3D Human Pose Estimation (HPE). However, performance degradation caused by domain gaps between source and target domains remains a major challenge to ...
Hoosang Lee, Jeha Ryu
doaj   +1 more source

Prediction and Generalization Capability of Machine Learning Models for Shield TBM-Induced Settlement

Applied Sciences
Ground settlement induced by shield tunnel boring machine (TBM) excavation is a major geotechnical concern in urban tunneling because it may affect the safety of adjacent structures and underground infrastructure.
Ji-Seok Yun, Wan-Kyu Yoo, Gi-Jun Lee, Je-Kyum Lee, Young-Suk Song, Chang-Yong Kim, Han-Eol Kim   +6 more
doaj   +1 more source

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari, Regina Hadi Putri, Fatimah Assyifa, Judith Spijkerman, Gertjan Johannes Kaspers, Susi Susanah   +5 more
wiley   +1 more source

MAAG: A Multi-Attention Architecture for Generalizable Multi-Target Adversarial Attacks

Applied Sciences
Adversarial examples pose a severe threat to deep neural networks. They are crafted by applying imperceptible perturbations to benign inputs, causing the model to produce incorrect predictions. Most existing attack methods exhibit limited generalization,
Dongbo Ou, Jintian Lu, Cheng Hua, Shihui Zhou, Ying Zeng, Yingsheng He, Jie Tian   +6 more
doaj   +1 more source

Mathematical model for predicting the ultrasonic pulse velocity of concrete

Cogent Engineering, 2023
This paper proposes a mathematical model approach to predict the Ultrasonic Pulse Velocity (UPV) of concrete. This paper presents the formulation, calibration, evaluation, and validation of the proposed UPV model. An experimental program was developed to
Fayez Moutassem, Issam Miqdadi
doaj   +1 more source

Chemotherapy for Spinal Cord Intramedullary Pediatric Low‐Grade Glioma—A Systematic Literature Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko, Segev Gabay, Jonathan Roth, Amit Ringel, Rina Dvir, Shlomi Constantini   +5 more
wiley   +1 more source

High-Dimensional Aerodynamic Modeling Prediction Based on Modified RBF Neural Network with Data Assimilation

气体物理
In this paper, the radial basis function (RBF) neural network was modified by data assimilation method to improve the modeling accuracy of high-dimensional aerodynamics. A correction factor γ was introduced into the kernel function of the traditional RBF
Ying ZHANG, Xin ZHANG, Weiguo ZHANG, Zichen DENG   +3 more
doaj   +1 more source

Exercise Capacity, Physical Activity, Fatigue, and Neurocognitive Function in Adult Survivors of Childhood Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess, Gustaf Glavå, Simon Skau, Hans‐Georg Kuhn, Maria Bäck, Marianne Jarfelt   +5 more
wiley   +1 more source

Impact of a multiple oversampling technique-based assessment framework on shallow rockburst prediction models

Frontiers in Earth Science
The occurrence of class-imbalanced datasets is a frequent observation in natural science research, emphasizing the paramount importance of effectively harnessing them to construct highly accurate models for rockburst prediction.
Guozhu Rao, Guozhu Rao, Yunzhang Rao, Yunzhang Rao, Yangjun Xie, Qiang Huang, Jiazheng Wan, Jiyong Zhang   +7 more
doaj   +1 more source