Extracting Vehicle Trajectories Using Unmanned Aerial Vehicles in Congested Traffic Conditions by Eui-Jin Kim, Ho-Chul Park, Seung-Woo Ham, Seung-Young Kho, Dong-Kyu Kim

“…To conduct an effective analysis using trajectory data, a framework is needed to efficiently and accurately extract the data. …”
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Vision Transformer-Based Unhealthy Tree Crown Detection in Mixed Northeastern US Forests and Evaluation of Annotation Uncertainty by Durga Joshi, Chandi Witharana

“…Forest health monitoring at scale requires high-spatial-resolution remote sensing images coupled with deep learning image analysis methods. …”
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Review of Surface-Defect Detection Methods for Industrial Products Based on Machine Vision by Quan Wang, Mengnan Wang, Jiadong Sun, Deji Chen, Pei Shi

“…Finally, a systematic analysis of the key challenges and corresponding solutions is presented at the data and performance levels, and looks forward to the future direction of technological development, highlighting innovative paths and application potentials.…”
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A radiogenomics study on 18F-FDG PET/CT in endometrial cancer by a novel deep learning segmentation algorithm by Xuanyi Li, Weijun Shi, Qianwen Zhang, Xinhui Lin, Hongzan Sun

“…The second dataset, including 249 patients for MMR and 179 for TP53 mutation prediction, was derived from PET/CT exams and immunohistochemical analysis. A PET-based Attention-U Net network was used for segmentation, followed by region-growing with co-registered PET and CT images. …”
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RunicNet: Leveraging CNNs With Attention Mechanisms for Cervical Cancer Cell Classification by Erin Beate Bjørkeli, Morteza Esmaeili

“…The model was trained on a dataset of 85 080 cell images, employing data augmentation and class balancing techniques to address dataset imbalances. …”
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Letter from the Editor by Germán A. Prieto

“…Advanced signal processing methods are used in Zeng et al. for image retrieval applied to remote sensing data, using a Bayesian network approach. …”
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Methods for Extracting Fractional Vegetation Cover from Differentiated Scenarios Based on Unmanned Aerial Vehicle Imagery by Changning Sun, Yonggang Ma, Heng Pan, Qingxue Wang, Jiali Guo, Na Li, Hong Ran

“…FVC estimation methods have evolved from traditional manual interpretation to advanced remote sensing technologies, such as satellite data analysis and unmanned aerial vehicle (UAV) image processing. …”
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Towards MR-Only Radiotherapy in Head and Neck: Generation of Synthetic CT from Zero-TE MRI Using Deep Learning by Souha Aouadi, Mojtaba Barzegar, Alla Al-Sabahi, Tarraf Torfeh, Satheesh Paloor, Mohamed Riyas, Palmira Caparrotti, Rabih Hammoud, Noora Al-Hammadi

“…Both models were implemented in-house and compared to standard U-Net and Unet++ architectures using image quality metrics, visual inspection, and dosimetric analysis. …”
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Accurate, automated classification of radiographic knee osteoarthritis severity using a novel method of deep learning: Plug-in modules by Do Weon Lee, Dae Seok Song, Hyuk-Soo Han, Du Hyun Ro

“…Methods A deep learning model that classifies knee osteoarthritis severity of a radiograph was developed utilizing PIMs. A retrospective analysis on prospectively collected data was performed. …”
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PatchDetect: Breast Cancer Detection combining Unet-ResNet-50 and Patch Embedding LSTM by Hadj Ahmed Bouarara, kadda benyahia

“… This study presents a novel framework for breast cancer detection, combining patch embedding, feature extraction using a pre-trained Convolutional Neural Network (CNN) model (ResNet50), Long Short-Term Memory (LSTM) networks for image sequence analysis, and Fully Connected Layers for final classification. …”
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Experience in Modeling Associative Fields (Project “Multilingual Associative Thesaurus of Politeness”) by N. I. Stepykin

“…The relevance of the study is due to the need to identify the structure and content of the associative-verbal network of a native speaker, which is possible when referring to the data of a free associative experiment. …”
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Ensemble deep learning models for tropical cyclone intensity prediction using heterogeneous datasets by Dikshant Gupta, Menaka Pushpa Arthur

“…We proposed a system to predict TC intensity using CNN-based ensemble deep-learning models that are trained by both satellite images and numerical data of the TC. This paper presents a thorough examination of several deep-learning models such as CNN, Recurrent Neural Networks (RNN) and transfer learning models (AlexNet and VGG) to determine their effectiveness in forecasting TC intensity. …”
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Bridge Geometric Shape Measurement Using LiDAR–Camera Fusion Mapping and Learning-Based Segmentation Method by Shang Jiang, Yifan Yang, Siyang Gu, Jiahui Li, Yingyan Hou

“…The main contributions include the following: (1) A synchronized LiDAR–camera fusion system integrated with an unmanned aerial vehicle (UAV) and a microprocessor was developed, enabling the flexible and large-scale acquisition of bridge images and point clouds; (2) A multi-sensor fusion mapping method coupling visual-inertial odometry (VIO) and Li-DAR-inertial odometry (LIO) was implemented to construct 3D bridge point clouds in real time robustly; and (3) An instance segmentation network-based approach was proposed to detect key structural components in images, with detected geometric shapes projected from image coordinates to 3D space using LiDAR–camera calibration parameters, addressing challenges in automated large-scale point cloud analysis. …”
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Human Presence Detection Sensor Using Polarization Insensitive Metamaterial Absorbers by Farzad Tofigh, Justin Lipman

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DCW-YOLO: An Improved Method for Surface Damage Detection of Wind Turbine Blades by Li Zou, Anqi Chen, Chunzi Li, Xinhua Yang, Yibo Sun

“…In light of these challenges, a novel model named DCW-YOLO for surface damage detection of WTBs is proposed in this research, which leverages image data collected by unmanned aerial vehicles (UAVs) and the YOLOv8 algorithm for image analysis. …”
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Machine learning-based process quality control of screen-printed titanium dioxide electrodes by Anesu Nyabadza, Lola Azoulay-Younes, Mercedes Vazquez, Dermot Brabazon

“…Multivariate data analysis techniques such as factor analysis were employed to evaluate the effectiveness of the features extracted from these images. …”
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Impact of fracturing on the hydrological flow in the Liassic nappe of the Causse d'Agouraï, Middle Atlas, Morocco by Soukaina Mouljebouj, Mohamed Saadi, Afaf Amine, Ayoub Achbaro, Rida Haddane

“… The study of fracturing at Ain Bouchermou, Ain Maârouf, and Ain Boujaoui water sources used satellite image analysis, isobase analysis, and structural field study to reveal new data on hydrological flows and water storage in karsts and breccias. …”
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Design of a Hybrid Intelligent System for Transitional Bladder Cell Carcinoma Diagnosis by Nada Saleem, Khalid Saleem

“…The proposed system is composed of two main phases, the first phase is the "cell analysis phase" which consists of three main stages including segmentation stage using "Genetic Optimization Based Fuzzy Image Segmentation Algorithm" (GOFISA), morphometric and photometric feature extraction stage and "Neuro-Fuzzy Classifier Model" (NFCM) stage that has been developed and implemented to classify a set of normal and abnormal cells using hybrid intelligent technique that combines the artificial neural network and fuzzy logic. …”
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A Modified MobileNetv3 Coupled With Inverted Residual and Channel Attention Mechanisms for Detection of Tomato Leaf Diseases by Rubina Rashid, Waqar Aslam, Romana Aziz, Ghadah Aldehim

“…The model is trained using transfer learning with specific adjustments to minimize detection errors and is fine-tuned using a tomato leaf disease image dataset extracted from Plant Village. This feature integration and data analysis scheme are then deployed to provide a tomato leaf disease detection Android app. …”
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ET-Mamba: A Mamba Model for Encrypted Traffic Classification by Jian Xu, Liangbing Chen, Wenqian Xu, Longxuan Dai, Chenxi Wang, Lei Hu

“…With the widespread use of encryption protocols on network data, fast and effective encryption traffic classification can improve the efficiency of traffic analysis. …”
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