A Deformable Split Fusion Method for Object Detection in High-Resolution Optical Remote Sensing Image by Qinghe Guan, Ying Liu, Lei Chen, Guandian Li, Yang Li

Get full text

Optimizing breast cancer ultrasound diagnosis: a comparative study of AI model performance and image resolution by Yunqing Yin, Junkui Fang, Wei Zhang, Xinying Shen

“…MobileNet_224 and MobileNet_320 had the fastest analysis speed.ConclusionMobileNet_224 represents a novel, efficient AI framework for breast cancer diagnosis demonstrating superior accuracy and speed compared to both complex AI models and experienced clinicians. This work highlights the critical role of optimizing model architecture and resolution to enhance diagnostic workflows and reduce unnecessary biopsies.…”
Get full text

MSALNet: a multi-scale adaptive learning network for high-resolution remote sensing scene classification by Chao Yang, Chengbo Wei, Yiming Zhao, Liming Wang, Peigang Xu, Kunlun Qi, Yuanzheng Shao, Huayi Wu

“…These results highlight its robustness and adaptability in addressing complex HRS scenarios.…”
Get full text

A Dual Branch Multiscale Stereo Matching Network for High-Resolution Satellite Remote Sensing Images by Zhenghui Xu, Yonghua Jiang, Jingxue Wang, Yunming Wang

“…Accurate disparity estimation of high-resolution satellite remote sensing stereo images serves as a crucial method for generating precise digital surface models. …”
Get full text

Revealing High‐Temporal‐Resolution Flood Evolution With Low Latency Using GRACE Follow‐On Ranging Data by Hao‐si Li, Shuang Yi, Zi‐ren Luo, Peng Xu

“…Two floods in July 2021 in Western Europe and Central China (CC) are chosen as case studies to demonstrate our approach's applicability to moderate floods in complex hydrological settings. The results present the temporal progression of the floods up to a maximum of ∼40 Gt with a scale of 3–5 days. …”
Get full text

Fast-zoom and high-resolution sparse compound-eye camera based on dual-end collaborative optimization by Yi Zheng, Hao-Ran Zhang, Xiao-Wei Li, You-Ran Zhao, Zhao-Song Li, Ye-Hao Hou, Chao Liu, Qiong-Hua Wang

“…In the computational end, a disturbed degradation model driven super-resolution network (DDMDSR-Net) is proposed to deal with complex image degradation issues in actual imaging situations, achieving high-robustness and high-fidelity resolution enhancement. …”
Get full text

On the robustness of the emergent spatiotemporal dynamics in biophysically realistic and phenomenological whole-brain models at multiple network resolutions by Cristiana Dimulescu, Cristiana Dimulescu, Ronja Strömsdörfer, Ronja Strömsdörfer, Agnes Flöel, Agnes Flöel, Klaus Obermayer, Klaus Obermayer, Klaus Obermayer

“…The human brain is a complex dynamical system which displays a wide range of macroscopic and mesoscopic patterns of neural activity, whose mechanistic origin remains poorly understood. …”
Get full text

AP-PointRend: An Improved Network for Building Extraction via High-Resolution Remote Sensing Images by Bowen Zhu, Ding Yu, Xiongwu Xiao, Jian Shen, Zhigao Cui, Yanzhao Su, Aihua Li, Deren Li

Get full text

Deep learning super-resolution for temperature data downscaling: a comprehensive study using residual networks by Shailesh Kumar Jha, Vivek Gupta, Priyank J. Sharma, Anurag Mishra, Saksham Joshi

“…We compare the baseline Super-Resolution Convolutional Neural Network (SRCNN) model with two advanced models: Very Deep Super-Resolution (VDSR) and Enhanced Deep Super-Resolution (EDSR) to assess the impact of residual networks and architectural improvements. …”
Get full text

High-resolution mapping of on-road vehicle emissions with real-time traffic datasets based on big data by Y. Wang, H. Wang, B. Zhang, P. Liu, X. Wang, S. Si, L. Xue, Q. Zhang, Q. Wang

“…They vary largely on both spatial and temporal scales due to the complex distribution patterns of vehicle types and traffic conditions. …”
Get full text

Hyperspectral Image Super-Resolution via Grouped Second-Order Spatial Features and Spectral Attention Network by Allen Patnaik, M. K. Bhuyan, Sultan Alfarhood, Mejdl Safran

“…However, limitations of imaging systems result in low spatial resolution in HSI images. State-of-the-art research encounters challenges due to complex textural patterns and inadequate low-frequency details in captured images. …”
Get full text

Evaluating Distributed Snow Model Resolution and Meteorology Parameterizations Against Streamflow Observations: Finer Is Not Always Better by Theodore B. Barnhart, Annie L. Putman, Aaron J. Heldmyer, David M. Rey, John C. Hammond, Jessica M. Driscoll, Graham A. Sexstone

“…Abstract Estimating snow conditions is often done using numerical snowpack evolution models at spatial resolutions of 500 m and greater; however, snow depth in complex terrain often varies on sub‐meter scales. …”
Get full text

Evaluation of the structures of the optic nerve and chiasm in patients with skull base tumors using high-resolution MRI by Ekaterina S. Egorova, Valeriia V. Musulevska, Mykola O. Guk, Oksana Y. Skobska

“…Conclusions: Measuring the thickness of the chiasm and the diameter of the intracranial part of the optic nerve using high-resolution MRI is a convenient and effective method for diagnosing optic nerve atrophy (ONA) and predicting ophthalmological outcomes after decompression of the optochiasmal complex.…”
Get full text

Coalmine image super-resolution reconstruction via fusing multi-dimensional feature and residual attention network by Jian CHENG, Lifei MI, Hao LI, Heping LI, Guangfu WANG, Yongzhuang MA

“…The complex underground environment of coal coalmines, influenced by lighting, coal dust, and water mist, often results in collected images with blurred details and missing textures, leading to decreased image resolution and posing significant limitations to the intelligent development of coal coalmine safety monitoring. …”
Get full text

Depth Inversion Using SAR and Super-Resolution Enhancement: A Case Study on Case II Waters by Meng Zhang, Chao Qi, Jianbing Chen, Dianpeng Su, XiaoDong Cui, Fanlin Yang, Ruifu Wang

“…The method we proposed indicates the integration of SAR-based depth inversion and SRE technology effectively retains original information while enhancing both spatial resolution and accuracy, demonstrating its efficacy in complex marine environments and providing a novel and effective method for HR marine surveying, thereby expanding SAR’s application potential in marine sciences.…”
Get full text

Gemini-Assisted Deep Learning Classification Model for Automated Diagnosis of High-Resolution Esophageal Manometry Images by Stefan Lucian Popa, Teodora Surdea-Blaga, Dan Lucian Dumitrascu, Andrei Vasile Pop, Abdulrahman Ismaiel, Liliana David, Vlad Dumitru Brata, Daria Claudia Turtoi, Giuseppe Chiarioni, Edoardo Vincenzo Savarino, Imre Zsigmond, Zoltan Czako, Daniel Corneliu Leucuta

“…<i>Background/Objectives:</i> To develop a deep learning model for esophageal motility disorder diagnosis using high-resolution manometry images with the aid of Gemini. …”
Get full text

DeepAir: deep learning and satellite imagery to estimate high-resolution PM2.5 at scale by Wenxuan Guo, Zhaoping Hu, Ling Jin, Yanyan Xu, Marta C Gonzalez

“…Upon training, the model can be applied to estimate the daily PM _2.5 concentrations at 1 km resolution across California. Our methodology meticulously incorporates meteorological variables, with a particular emphasis on wildfire propagation, and contemplates the complex interplay of various features. …”
Get full text

General Framework for Georeferencing and Interpretation of Multi-Resolution LiDAR Data for Fine-Scale Forest Inventory by H. Hanafy, S.-Y. Shin, A. M. Eissa, Y. Hany, S. Park, S. Fei, A. Habib

“…Future work will focus on improving tree segmentation in complex forest environments and leveraging machine learning models for automated species classification.…”
Get full text

High-resolution simulation and prediction of urban private vehicles energy consumption system: Agent-based modelling by Chuang Tu, Jiayi Liu, Jing Wang, Jing Bai, Guangwen Hu

Get full text

The Transcriptomic Signature of Donkey Ovarian Tissue Revealed by Cross-Species Comparative Analysis at Single-Cell Resolution by Yu Tian, Yilin Niu, Xinhao Zhang, Tao Wang, Zhe Tian, Xiaoyuan Zhang, Jiachen Guo, Wei Ge, Shuqin Liu, Yujiang Sun, Jianjun Li, Wei Shen, Junjie Wang, Teng Zhang

“…Furthermore, an in vitro cumulus–oocyte complex model demonstrated the critical role of <i>GATM</i> in mammalian oocyte maturation. …”
Get full text