Dynamic Bidirectional Feature Enhancement Network for Thin Cloud Removal in Remote Sensing Images by Yu Wang, Hao Chen, Ye Zhang, Guozheng Li

“…These modules efficiently capture long-range contextual dependencies and suppress cloud noise interference. Next, an adaptive local feature enhancement block is constructed using cross-fusion and adjacent feature propagation between dynamic convolutions, aimed at enhancing the ability of model to recover details. …”
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The Application of Kalman Filter Algorithm in Rail Transit Signal Safety Detection by Zhinong Miao, Qilong Liao

“…Therefore, research is being conducted to optimize the signal safety detection system for rail transit. …”
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Investigating 5G Wireless Networks Deployment with Diverse Frequency Bands for Basra City by Aymen M. Al-Kadhimi

“…The site locations, antenna heights, transmission power, and antenna down-tilt degree were optimized through three design scenarios. Furthermore, four measurement themes were adopted to evaluate network performance as coverages, power levels, Carrier-to-Interference (C/I), and power density measurement themes. …”
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Temperature-related intensity change (TRIC)-based high-throughput screening enables the discovery of small molecule CD28 binders by Laura Calvo-Barreiro, Saurabh Upadhyay, Moustafa T. Gabr

“…Following exclusion of compounds with dye interference or aggregation artifacts, 12 candidates were prioritized for further validation. …”
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SEMA-YOLO: Lightweight Small Object Detection in Remote Sensing Image via Shallow-Layer Enhancement and Multi-Scale Adaptation by Zhenchuan Wu, Hang Zhen, Xiaoxinxi Zhang, Xuechen Bai, Xinghua Li

“…Then, the Global Context Pooling-enhanced Adaptively Spatial Feature Fusion (GCP-ASFF) architecture is designed to optimize cross-scale feature interaction across four detection heads. …”
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A Novel Depth-Weighting Approach Based on Regularized Downward Continuation for Enhanced Gravity Inversion by Zhe Qu, Gang Min, Zhengwei Xu, Minghao Xian, Yu Zhang, Aidong She, Jun Li

“…This matrix is then integrated with traditional depth weighting and a minimum-support focusing factor to optimize the inversion process. The proposed method is validated through two synthetic models, demonstrating improved resolution of deeper targets and more accurate amplitude recovery compared to conventional approaches. …”
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Robust Sandstorm Image Restoration via Adaptive Color Correction and Saturation Line Prior-Based Dust Removal by Shan Zhou, Fei Shi, Zhenhong Jia, Guoqiang Wang, Jian Huang

“…Enhancing the visibility of outdoor images under sandstorm conditions remains a significant challenge in computer vision due to the complex atmospheric interference caused by dust particles. While existing image enhancement algorithms perform well in mild sandstorm scenarios, they often struggle to produce satisfactory results in more severe conditions, where residual color casts and chromatic artifacts become pronounced. …”
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Research on Methods for the Recognition of Ship Lights and the Autonomous Determination of the Types of Approaching Vessels by Xiangyu Gao, Yuelin Zhao

“…Firstly, to address the challenges of the small target characteristics of ship lights and complex environmental interference, an improved YOLOv8 model is developed: The dilation-wise residual (DWR) module is introduced to optimize the feature extraction capability of the C2f structure. …”
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Energy-Efficient Resource Allocation for Near-Field MIMO Communication Networks by Tong Lin, Jianyue Zhu, Junfan Zhu, Yaqin Xie, Yao Xu, Xiao Chen

“…Particularly, this paper considers the resolution constraint in the formulated optimization problem, which is designed to guarantee that interference between users can be neglected. …”
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Waveform design through the trade-off relationship between the MI criterion and the SINR criterion by Bin Wang, Xingjia Wang, Guangze Gao, Chao Wang, Yuewei Liu

“…Aiming at the diversity requirements of cognitive radar monitoring tasks, a joint optimization design criterion that comprehensively considers the mutual information (MI) and signal-to-interference-to-noise ratio (SINR) between the target and the echo is proposed. …”
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Research on channel estimation based on joint perception and deep enhancement learning in complex communication scenarios by Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim

“…In contemporary wireless communication systems, channel estimation and optimization have become increasingly pivotal with the growing number and complexity of devices. …”
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A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

“…To address the issues of uneven feature point distribution, environmental interference, and insufficient real-time performance in UAV image stitching in complex urban environments, this paper proposes an improved ORB algorithm based on Gaussian scale-space optimization and dynamic grid division, combined with a global geometric consistency optimization strategy. …”
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Artificial Intelligence Empowering Dynamic Spectrum Access in Advanced Wireless Communications: A Comprehensive Overview by Abiodun Gbenga-Ilori, Agbotiname Lucky Imoize, Kinzah Noor, Paul Oluwadara Adebolu-Ololade

“…It also explores the use of multi-agent reinforcement learning (MARL) for distributed DSA networks, where agents autonomously optimize power allocation (PA) to minimize interference and enhance quality of service. …”
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Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

“…Specifically, support vector regression (SVR) was combined with three optimization algorithms: firefly algorithm (FFA), particle swarm optimization (PSO), and grey wolf optimization (GWO) to create hybrid models for estimating the SE of carbon fiber-reinforced mortars. …”
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CSCP-YOLO: A Lightweight and Efficient Algorithm for Real-Time Steel Surface Defect Detection by Chenglong Wang, Heng Wang, Yimin Jiang, Lei Yu, Xueting Wang

“…To accelerate defect detection, the SPPF-DW module efficiently fuses multi-scale defect features through optimized computational pathways. The CCE (C2f-CIB-EMA) module strengthens feature extraction capabilities by optimizing weight sparsity distributions during model training. …”
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Simulation Study of Carbon Extraction from Coal Gasification Fine Slag by Airflow Classification Based on CFD-DEM by LI Xiangyang, ZHANG Qian, LI Le, BAI Hui, HUANG Wei

“…The optimization of tangential air inlet to vertical upward avoids the mutual interference between the elution zone and the classification zone. …”
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A novel 3D-printed electrochemical cell for operando synchrotron experiments by Niklas H. Deissler, Valentin Vinci, Jon Bjarke Valbæk Mygind, Xianbiao Fu, Shaofeng Li, Jakob Kibsgaard, Jakub Drnec, Ib Chorkendorff

“…Fabrication by 3D-printing polyether ether ketone allows for complex electrolyte flow geometries while maintaining minimal X-ray background interference, critical for X-ray-based techniques. The combination of single-crystal electrodes and optimized flow conditions offers a promising platform for investigating fundamental electrochemical processes under realistic and scalable conditions.…”
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Research Progress on Modulation Format Recognition Technology for Visible Light Communication by Shengbang Zhou, Weichang Du, Chuanqi Li, Shutian Liu, Ruiqi Li

“…As sixth-generation mobile communication (6G) advances towards ultra-high speed and global coverage, visible light communication (VLC) has emerged as a crucial complementary technology due to its ultra-high bandwidth, low power consumption, and immunity to electromagnetic interference. Modulation format recognition (MFR) plays a vital role in the dynamic optimization and adaptive transmission of VLC systems, significantly influencing communication performance in complex channel environments. …”
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Variable-Ratio Mode-Insensitive 1 × 2 Power Splitter Based on MMI Couplers and Phase Shifters by Fang Ren, Wei Chen, Tianwen Zhangsun, Yiying Zhang, Xiaojie Fan, Jianping Wang

“…Here we propose a novel schematic structure of variable-ratio mode-insensitive 1 × 2 power splitter, which is based on multimode interference (MMI) couplers cascaded with phase shifters. …”
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An Accurate LiDAR-Inertial SLAM Based on Multi-Category Feature Extraction and Matching by Nuo Li, Yiqing Yao, Xiaosu Xu, Shuai Zhou, Taihong Yang

“…These components are jointly optimized within a sliding-window-based factor graph, integrating LiDAR feature factors, IMU pre-integration, and loop closure constraints. …”
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