Structural knowledge-driven meta-learning for task offloading in vehicular networks with integrated communications, sensing and computing by Ruijin Sun, Yao Wen, Nan Cheng, Wei Wang, Rong Chai, Yilong Hui

“…Furthermore, to pull out the solution from the local optimum, our proposed SKDML updates parameters in LSTM with the global loss function. Simulation results demonstrate that our method outperforms both the AM algorithm and the meta-learning without structural knowledge in terms of both the online processing time and the network performance.…”
Get full text

Bistatic Scattering due to Hydrometeors on Cochannel Intersystem Communication Links over a Subtropical Path by P. A. Owolawi, T. Wallingo

“…Interference disturbs the functionality of the ground station and causes signal degradation. …”
Get full text

Rho-Kinase Inhibitors in the Management of Fuchs Endothelial Corneal Dystrophy: A Review by Anđela Jukić, Ana Pupić Bakrač, Biljana Đapic Ivančić, Andrijana Kopić, Ana Meter, Rajka Kasalica Žužul, Josip Pavan, Tomislav Jukić

“…It is characterized by the progressive loss of corneal endothelial cells (CECs), guttae formation on the Descemet membrane, and corneal edema, leading to visual impairment. …”
Get full text

Harmonizer: A Universal Signal Tokenization Framework for Multimodal Large Language Models by Amin Amiri, Alireza Ghaffarnia, Nafiseh Ghaffar Nia, Dalei Wu, Yu Liang

“…We enhance features through STFT-based spectral decomposition, Hilbert transform analytic signal extraction, and SCLAHE spectrogram contrast optimization, and train using a composite loss function to produce reliable embeddings and construct a robust vector vocabulary. …”
Get full text

An Iterative Pseudo Label Generation framework for semi-supervised hyperspectral image classification using the Segment Anything Model by Zheng Zhao, Guangyao Zhou, Qixiong Wang, Jiaqi Feng, Hongxiang Jiang, Guangyun Zhang, Yu Zhang

“…To ensure the reliability of pseudo labels, we design a spatial-information-consistency-driven loss function that optimizes IPG to adaptively select the most dependable pseudo labels from the unified mask. …”
Get full text

Cross-Feature Hybrid Associative Priori Network for Pulsar Candidate Screening by Wei Luo, Xiaoyao Xie, Jiatao Jiang, Linyong Zhou, Zhijun Hu

“…Additionally, refinements to the original loss function enhance convergence, further improving recognition accuracy and stability. …”
Get full text

Multimodal Fusion Image Stabilization Algorithm for Bio-Inspired Flapping-Wing Aircraft by Zhikai Wang, Sen Wang, Yiwen Hu, Yangfan Zhou, Na Li, Xiaofeng Zhang

“…Furthermore, the network is trained in an unsupervised manner by leveraging a joint loss function that integrates camera pose smoothness and optical flow residuals. …”
Get full text

STAR-YOLO: A High-Accuracy and Ultra-Lightweight Method for Brain Tumor Detection by Liyan Sun, Linxuan Zheng, Zhiguo Xiao, Yi Xin, Linqing Jiang

“…It also integrates SimAM, a parameter-free attention mechanism, and utilizes ShapeIoU as the localization loss function. These innovations enable STAR-YOLO to achieve both high accuracy and a lightweight design. …”
Get full text

YOLO-ALW: An Enhanced High-Precision Model for Chili Maturity Detection by Yi Wang, Cheng Ouyang, Hao Peng, Jingtao Deng, Lin Yang, Hailin Chen, Yahui Luo, Ping Jiang

“…Additionally, the Wise-IoU (Wise Intersection over Union) loss function optimizes bounding box learning, further improving the detection of peppers in occluded or background-similar scenarios. …”
Get full text

A generative deep neural network for pan-digestive tract cancer survival analysis by Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao, Hua Chai

“…Results In this study, we propose GDEC, a multi-task generative deep neural network designed for precise digestive tract cancer subtyping. The network optimization process involves employing an integrated loss function consisting of two modules: the generative-adversarial module facilitates spatial data distribution understanding for extracting high-quality information, while the clustering module aids in identifying disease subtypes. …”
Get full text

An object detection model AAPW-YOLO for UAV remote sensing images based on adaptive convolution and reconstructed feature fusion by Yiming Wu, Xiaofang Mu, Hong Shi, Mingxing Hou

“…Finally, we adopt a gradient-enhancing strategy with the Wise Intersection over Union (Wise-IoU) loss function to balance the gradient contributions from anchor boxes of different qualities during training, thereby improving regression accuracy. …”
Get full text

TransRNetFuse: a highly accurate and precise boundary FCN-transformer feature integration for medical image segmentation by Baotian Li, Jing Zhou, Fangfang Gou, Jia Wu

“…Furthermore, this paper introduces an edge enhancement loss function to enhance the model's sensitivity to tumor boundaries. …”
Get full text

Learning Class-Aware Local Representations for Few-Shot Remote Sensing Scene Classification by Liu Wang, Li Zhuo, Hui Zhang, Jiafeng Li

“…The main idea of LRSL is to maximize the relationship consistency between the query local representations and different views of support local representations. A novel consistency loss is further proposed as the objective function of LRSL to supervise the model training. …”
Get full text

Gonadal Dysfunction in Wolfram Syndrome: A Prospective Study by Gema Esteban-Bueno, Juan Luis Fernández-Martínez

Get full text

EDRMM: enhancing drug recommendation via multi-granularity and multi-attribute representation by Feiyan Liu, Wenhao Wang, Jiawei Zheng, Yibo Xie, Xiaoli Wang, Dongxiang Zhang

“…We also design an adaptive global Drug–Drug Interaction (DDI) risk regularization term for the DDI loss function to better balance accuracy and safety during training. …”
Get full text

New method of surgical correction of lesser toes deformity by S. N. Leonova, I. V. Usoltsev, M. A. Kosareva

“…As a result of the application of the proposed method, it was possible to achieve deformity correction, eliminate the lateral deviation of the second toe in the metatarsophalangeal joint, restore congruence in the joint, achieve consolidation of bone fragments without loss of correction, and improve the appearance and function of the foot. …”
Get full text

Critical Component Overheating Monitoring Algorithm Integrating Temperature-sensing Patches and Computer Vision Trains by SHU Dong, ZHANG Beijia, YANG Hongtai

“…A main-boundary separation module is embedded in the U-Net++ network architecture, and corresponding boundary supervision terms are added to the loss function, so that boundary segmentation performance could be enhanced and segmentation precision of temperature-sensing patches in the image be improved. …”
Get full text

Neuropilin-1: a checkpoint target with unique implications for cancer immunology and immunotherapy by Chang Liu, Creg J Workman, Dario AA Vignali, Christopher A Chuckran, Tullia C Bruno

“…In this context, the immunoregulatory receptor Neuropilin-1 (NRP1) is garnering renewed attention as it reinforces intratumoral Treg cell function amidst inflammation in the TME. Loss of NRP1 on Treg cells in mouse models restores antitumor immunity without sacrificing peripheral tolerance. …”
Get full text

Pyrolysis Kinetics and Gas Evolution of Flame-Retardant PVC and PE: A TG-FTIR-GC/MS Study by Wen-Wei Su, Yang Li, Peng-Rui Man, Ya-Wen Sheng, Jian Wang

“…This study provides critical insights into the pyrolysis mechanisms of flame-retardant cable insulation and offers a robust data framework for optimizing fire modeling and improving material design.…”
Get full text

Enhancing CAR-T Efficacy: The Role of Anti PD-1/PD-L1 Checkpoint Inhibitors in Modern Cancer Treatment by Rishi Kant, Prashanjit Roy, Amandeep Kaur, Ranjeet Kumar

“…All these mechanisms combined lead to a loss of T-cell efficacy in counteracting tumor progression. …”
Get full text