Coordinates-based meta-analysis for vestibular migraine and the underlying mechanisms behind it by Xiaoping Fan, Liang Dong, Hui Li, Kuiyun Wang, Jiying Zhou

“…A coordinate-based meta-analysis (CBMA) was performed using the latest algorithm, seed-based d mapping with permutation of subject images (SDM-PSI), to identify brain alterations across individual studies.ResultsFive studies (103 VM patients, 107 HCs) were included. …”
Get full text

Improving ICESat-2 photon classification and tree height estimation using Moran's I and machine learning by Mei-Kuei Lu, Sorin Popescu, Lonesome Malambo

“…The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) provides valuable data for vegetation mapping using photon counting lidar (PCL) technology. …”
Get full text

A Novel Prediction Model for the Sales Cycle of Second-Hand Houses Based on the Hybrid Kernel Extreme Learning Machine Optimized Using the Improved Crested Porcupine Optimizer by Bo Yu, Deng Yan, Han Wu, Junwu Wang, Siyu Chen

“…In addition, this paper discusses the performances of different chaotic maps to improve the CPO and proves that the algorithm including chaotic maps, mixed mutation, and tangent flight has the best performance. …”
Get full text

Genotype Prediction from Retinal Fundus Images Using Deep Learning in Eyes with Age-Related Macular Degeneration by Avishai Halev, PhD, Denis Huang, MD, Shahbaz Rezaei, PhD, Sean Banks, BS, John D. McPherson, PhD, Suma P. Shankar, MD, PhD, Xin Liu, PhD, Glenn Yiu, MD, PhD

“…Design: Deep learning algorithm development to classify single-nucleotide polymorphism in the complement factor H (CFH) and age-related maculopathy susceptibility 2 (ARMS2) genes using retinal fundus images. …”
Get full text

Berkeley‐RWAWC: A New CYGNSS‐Based Watermask Unveils Unique Observations of Seasonal Dynamics in the Tropics by Tianjiao Pu, Cynthia Gerlein‐Safdi, Ying Xiong, Mengze Li, Eric A. Kort, A. Anthony Bloom

“…This paper details the development of a computer vision algorithm for inundation mapping over the entire CYGNSS domain (37.4°N–37.4°S). …”
Get full text

Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data by B. Li, B. Li, B. Li, B. Li, H. Xie, H. Xie, S. Liu, Z. Ye, Z. Hong, Q. Weng, Q. Weng, Q. Weng, Y. Sun, Q. Xu, X. Tong

Get full text

Benthos-DETR: a high-precision efficient network for benthic organisms detection by Weibo Rao, Gang Chen, Yifei Zhang, Jue Cang, Shusen Chen, Chenyang Wang

“…In tests on an open-source dataset, Benthos-DETR achieved a detection accuracy of 92.1% and mAP50 of 91.8% for sea cucumbers, 91.6% accuracy and 92.2% mAP50 for sea urchins, and 92.4% accuracy and 93.7% mAP50 for scallops. …”
Get full text

PathNetDRP: a novel biomarker discovery framework using pathway and protein–protein interaction networks for immune checkpoint inhibitor response prediction by Dohee Lee, Jaegyoon Ahn, Jonghwan Choi

“…Conclusion The biomarkers identified by PathNetDRP demonstrated robust predictive performance across cross-validation and independent validation datasets, suggesting their potential utility in clinical applications. …”
Get full text

A novel nonparametric adaptive kernel density estimation method for removing nonrandom noise from ICESat-2 photon-counting LiDAR data by Zijia Wang, Sheng Nie, Cheng Wang, Xiaohuan Xi, Xiaoxiao Zhu, Jieying Lao, Bisheng Yang

Get full text

An Improved COLD Approach for Monitoring Construction Dynamics Using HLS and LULC Data: A Case Study in the New Capital of Egypt by M. Abdallah, M. Abdallah, M. Abdallah, E. Ali, E. Ali, X. Ding, X. Ding, S. Wu, S. Wu

“…This study proposes an improved COLD algorithm that integrates land disturbances identified by COLD with publicly available land use/land cover (LULC) maps from Esri, covering the period from 2017 to 2024, to map and quantify construction activities. …”
Get full text

MFGC-Net: Bridging and Fusing Multiscale Features and Global Contexts for Multitask Sea Ice Fine Segmentation by Tianen Ma, Xinwei Chen, Linlin Xu, Pengfei Ma, Peilin Yu

“…To address this limitation, we proposed a novel encoder–decoder structure network for multitask sea ice segmentation. Initially, a cross-scale interaction module was constructed in the encoder that utilizes cross attention to seamlessly capture multiscale features, effectively bridging the semantic information gap between different layers. …”
Get full text

A Novel Adaptive Flexible Capacitive Sensor for Accurate Intravenous Fluid Monitoring in Clinical Settings by Yang He, Fangfang Yang, Pengxuan Wei, Zongmin Lv, Yinghong Zhang

“…The sensor establishes a mapping between residual liquid volume in the infusion bottle and its equivalent capacitance, enabling a non-contact adaptive monitoring system. …”
Get full text

A novel Otsu-UNet coupling approach to extract cage aquaculture in changing bay environments by Peng Wang, Jinliang Huang, Shengyue Chen, Shuyao Gao, Jingyu Lin, Yancheng Tao

“…To address this challenge, we developed a novel classification method called Otsu-UNet by integrating the Otsu algorithm with the U-shaped Network method. Based on the Google Earth Engine platform, cage aquaculture data were autonomously extracted from Sentinel-2 imagery using the Otsu technique, and high-quality samples were curated to train the UNet model for cage aquaculture extraction across bay locales. …”
Get full text

Folded Context Condensation in Path Integral Formalism for Infinite Context Transformers by Won-Gi Paeng, Daesuk Kwon, Kyungwon Jeong, Honggyo Suh

“…In this work, we present a generalized formulation of the Transformer algorithm by reinterpreting its core mechanisms within the framework of Path Integral formalism. …”
Get full text

An explainable transformer model for Alzheimer’s disease detection using retinal imaging by Saeed Jamshidiha, Alireza Rezaee, Farshid Hajati, Mojtaba Golzan, Raymond Chiong

“…The Retformer model outperforms a variety of benchmark algorithms across different performance metrics by margins of up to 11%.…”
Get full text

Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

“…Moreover, it also establishes a dynamic RS label category system that is capable of dynamically expanding distinct categories from new sample datasets through label semantic similarity mapping to resolve label inconsistencies across sample datasets. …”
Get full text

Drought Amplifies the Suppressive Effect of Afforestation on Net Primary Productivity in Semi-Arid Ecosystems: A Case Study of the Yellow River Basin by Futao Wang, Ziqi Zhang, Mingxuan Du, Jianzhong Lu, Xiaoling Chen

Get full text

Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

“…The mapping and monitoring of rice fields on a large scale using medium and high spatial resolution data (<10 m) is essential for efficient agricultural management and food security. …”
Get full text

The Impact of Atmospheric Rivers on Precipitation and Their Contribution to Crustal Deformation in Greenland, 2010 to 2019 by Wenhao Li, Xinyu Qin, Tingting Zhu, Jintao Lei, C. K. Shum, Fei Li, Shengkai Zhang

Get full text

Discrimination of the Skin Cells from Cellular-Resolution Optical Coherence Tomography by Deep Learning by Jui-Yun Yi, Sheng-Lung Huang, Shiun Li, Yu-You Yen, Chun-Yeh Chen

“…The deep learning algorithm is successfully and efficiently applied to discriminate the OCT skin cell images.…”
Get full text