Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations by Yuchao Miao, Jiwei Li, Ruigang Ge, Chuanbin Xie, Yaoying Liu, Gaolong Zhang, Mingchang Miao, Shouping Xu

“…Abstract Background Accurate calculation of lung cancer dose using the Monte Carlo (MC) algorithm in CyberKnife (CK) is essential for precise planning. …”
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Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning by Jingjing Liu, Chang Liu, Zhangdaihong Liu, Yibin Zhou, Xiaoguang Li, Yang Yang

“…Sensitivity analyses across different regions and different types of APs underscored the robustness of our conclusions. …”
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Q-learning global path planning for UAV navigation with pondered priorities by Kevin B. de Carvalho, Hiago de O.B. Batista, Leonardo A. Fagundes-Junior, Iure Rosa L. de Oliveira, Alexandre S. Brandão

“…By effectively balancing exploration and exploitation, this technique enables an autonomous agent to efficiently navigate from any initial point to a specified destination on the map. To evaluate the proposed strategy’s effectiveness, extensive simulations are conducted across diverse environments. …”
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A Multimodal Image Registration Method for UAV Visual Navigation Based on Feature Fusion and Transformers by Ruofei He, Shuangxing Long, Wei Sun, Hongjuan Liu

“…Using images captured by drone cameras and comparing them with known Google satellite maps to obtain the current location of the drone is an important way of UAV navigation in GPS-denied environments. …”
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Evaluation method of hydrophobicity of composite insulators based on improved Mask R-CNN by SHENG Fei, CAO Liu, LIU Yulong, HUANG Jie, HUANG Yaqian, ZHU Yanqing

“…Final validation through comparative experiments demonstrated the effectiveness and superiority of the enhanced Mask R-CNN-based hydrophobicity image recognition algorithm across three critical metrics: mean average precision (MAP), frames per second (FPS), and classification accuracy.…”
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MCIR-YOLO: White Medication Pill Classification Using Multi-Band Infrared Images by Mohan Wang, Yang Jiang, Baohui Xu, Mengqiang Huang, Xu Xue, Xu Wu, Wenjian Kuang, Xiang Liu, Harm Tolner

“…However, white pills exhibit distinctive infrared properties across various spectral bands. Building upon these observations, this paper introduces the MCIR-YOLO algorithm, a multi-band infrared image object detection system, which enhances the YOLOv5s model through multimodal fusion techniques. …”
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Small-area geographical variation in the prevalence of diabetes amongst Australian youth aged <20 years in 2021 by Ewan Cameron, Song Zhang, Aveni Haynes, Peter W. Gething

“…Methods: A combined statistical reconstruction and small-area estimation algorithm was applied to privacy-modulated data from the 2021 Australian Census. …”
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Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors by Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi

“…However, hyperspectral images from different scenes often exhibit high-frequency data sparsity and existing deep reconstruction algorithms struggle to establish accurate mapping models, leading to issues with detail loss in the reconstruction results. …”
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System-in-the-Loop Test System With Mixed-Reality for Autonomous Ground Vehicle (AGV) and Military Applications by Hyunsung Tae, Saedong Yeo, Sukhyun Hwang, Seogu Park, Gyuhwan Hwang

“…The LiDAR augmentation includes real-time occlusion and intensity augmentation algorithms, while the pose estimation improvement process incorporates a real-time algorithm utilizing an Extended Kalman Filter (EKF) with localization sensors (Inertial Measurement Unit (IMU) and odometry) and a 2.5D elevation map. …”
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Prediction of winter wheat nitrogen nutrition index using high-resolution satellite and machine learning by Po-Ting Pan, Yamine Bouzembrak, Miguel Quemada, Bedir Tekinerdogan

“…This study also demonstrated weather data improved model performance across all three algorithms with the highest accuracy of 79.12 % in the RF algorithm. …”
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Advance path loss model for LoRaWAN coverage estimation by Van Lic Tran, Tran Dang Khoa Phan, Tran Thi Minh Hanh, Vu Van Thanh, Thai Van Tien, Thai Vu Hien, Tran Anh Kiet

“…This paper demonstrates that, using multiple data points around each gateway allows for the creation of accurate coverage heat maps by using a proposed LoRaWAN coverage estimation algorithm. …”
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South China Sea SST Fronts, 2015–2022 by Igor M. Belkin, Yi-Tao Zang

“…The SST data from 2015 to 2022 were processed with the Belkin–O’Reilly algorithm to generate maps of SST gradient magnitude GM. …”
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RIM-MAC:a receiver initiated multi-session MAC protocol for underwater acoustic networks by Chao LI, Yong-jun XU, Bo-yu DIAO, Feng WANG, Qi WANG

“…,neighboring nodes’ propagation delay maps and expected transmission schedules) to launch multiple simultaneous sessions.RIM-MAC increases the chances of concurrent transmissions in the underwater channel and achieve the channel reuse at both the sender and receiver side,improving the overall throughput at least 36% compared to the typical MAC protocols.Moreover,a traffic prediction based adaptive data polling scheme named fair traffic algorithm (FTA) guarantees fairness across multiple contending nodes.Extensive simulation results have confirmed that the RIM-MAC protocol outperforms existing MAC protocols and provides fair medium access in representative long propagation delay scenarios.…”
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Research on the Method of Crop Pest and Disease Recognition Based on the Improved YOLOv7-U-Net Combined Network by Wenchao Xiang, Zitao Du, Xinran Liu, Zehui Lu, Yuna Yin

“…Experimental results show the improved algorithm achieves 97.49% detection accuracy, with mean average precision (mAP) reaching 96.91% and detection speed increasing to 90.41 FPS. …”
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Attention-Based LiDAR–Camera Fusion for 3D Object Detection in Autonomous Driving by Zhibo Wang, Xiaoci Huang, Zhihao Hu

“…The algorithm adaptively fuses LiDAR geometric features and camera semantic features through channel-wise attention weighting, enhancing multi-modal feature representation by dynamically prioritizing informative channels. …”
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The future of immunohistochemistry: advancing precision medicine through artificial intelligence-driven spatial proteomics and multiplexed diagnostic technologies by Ruby Dhar, Arun Kumar, Subhradip Karmakar

“…The integration of AI algorithms automates the quantification of biomarkers, minimizes subjectivity in interpretations, and speeds up turnaround times in high-volume labs. …”
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Investigating the Prognostic Role of Telomerase-Related Cellular Senescence Gene Signatures in Breast Cancer Using Machine Learning by Qiong Li, Hongde Liu

“…A comprehensive machine learning framework incorporating 101 algorithmic combinations across 10 survival modeling approaches, including random survival forests and ridge regression, was employed to develop a robust prognostic model. …”
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Efficient base metal exploration in northern New Brunswick, Canada through a hybrid ANN integrated with ABC and PSO methods by Claire Dusabemariya, Wei Qian, Romuald Bagaragaza, Ajibola Richard Faruwa, Ali Mossad

“…By integrating Artificial Neural Networks (ANN) with metaheuristic algorithms, specifically Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO), the research optimizes resistivity inversion techniques to enhance geophysical exploration. …”
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Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations by Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz

“…We further refine the super-resolution map by employing a KDTree algorithm for efficient MB tracking across consecutive frames. …”
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GenAI exceeds clinical experts in predicting acute kidney injury following paediatric cardiopulmonary bypass by Mansour Sharabiani, Alireza Mahani, Alex Bottle, Yadav Srinivasan, Richard Issitt, Serban Stoica

“…We evaluate various text embedding algorithms such as Doc2Vec, top-performing sentence transformers on Hugging Face, and commercial LLMs from Google and OpenAI. …”
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