A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow by Sebastian Banaszek, Michał Szota

“…The proposed approach involves calculating three vegetation indices—Excess Green (ExG), Green Leaf Index (GLI), and Modified Green-Red Vegetation Index (MGRVI)—based on a standardized orthomosaic generated from RGB images collected via UAV. Subsequently, an unsupervised k-means clustering algorithm was applied to divide the field into five vegetation vigor classes. …”
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A Crowd Counting and Localization Network Based on Adaptive Feature Fusion and Multi-Scale Global Attention Up Sampling by Min Wang, Li Huang, Jingke Yan, Jin Huang, Tao Yang

“…Crowd counting is an important research topic in the fields of computer vision and image processing, with monitoring and management of crowded scenes becoming an increasingly prominent issue. …”
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Angle Estimation for Range-Spread Targets Based on Scatterer Energy Focusing by Zekai Huang, Peiwu Jiang, Maozhong Fu, Zhenmiao Deng

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Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data by Jinqun Wu, Jinqun Wu, Yiqin Zheng, Tingting Wang, Chunyong Ma, Chunyong Ma, Ge Chen, Ge Chen

“…Firstly, a high-quality RGB false-color imaging method was developed based on Sentinel-1 dual-polarization (HH+HV) Extra-Wide Swath (EW) mode products, effectively integrating denoising algorithms and image processing techniques. …”
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The Potentials of Contrast-Free Renal ASL MRI Perfusion in the Diagnosis and Dynamic Follow-Up of Renal Lesions in Patients with Diffuse Liver Diseases by А. А. Telesh, Т. G. Morozova

“…Objective: to evaluate the potentials of contrast-free renal arterial spin labeling (ASL) perfusion during magnetic resonance imaging (MRI) for the diagnosis and dynamic follow-up of renal lesions in patients with diffuse liver diseases (DLD). …”
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Marker-Less Navigation System for Anterior Cruciate Ligament Reconstruction with 3D Femoral Analysis and Arthroscopic Guidance by Shuo Wang, Weili Shi, Shuai Yang, Jiahao Cui, Qinwei Guo

“…The system employs advanced image processing techniques for accurate condyle segmentation and implements the Bernard and Hertel (BH) grid system for standardized positioning. …”
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Artificial intelligence-enabled non-invasive ubiquitous anemia screening: The HEMO-AI pilot study on pediatric population by Daniel Gordon, Jason Hoffman, Keren Gamrasni, Yotam Barlev, Alex Levine, Tamar Landau, Ronen Shpiegel, Avishai Lahad, Ariel Koren, Carina Levin, Osnat Naor, Hannah Lee, Xin Liu, Shwetak Patel, Gilad Chayen, Michael Brandwein

“…It identifies important sample collection parameters and design, provides critical algorithms for the pre-processing of fingernail data, and reports an initial capability to detect anemia with 87% sensitivity and 84% specificity. …”
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Lightweight Brain Tumor Segmentation Through Wavelet-Guided Iterative Axial Factorization Attention by Yueyang Zhong, Shuyi Wang, Yuqing Miao, Tao Zhang, Haoliang Li

“…Conclusions: This study underscores the advantages of integrating frequency-domain analysis with optimized attention mechanisms, paving the way for scalable, high-performance medical image segmentation algorithms with broader clinical diagnostic applications.…”
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Drone-based fault recognition in power systems: a systematic review of intelligent methods by Carlos A. F. Persiani, Felipe M. Sallazar, Roberto S. Inoue, Valdir Grassi, Marco H. Terra, Mário Oleskovicz

“…The identification of literature gaps and future research directions reveals the path for further exploration, including the need for more robust algorithms to improve fault detection accuracy, techniques to mitigate the impact of blurred images, methods for detecting multiple faults simultaneously, advancements in real-time processing, increased automation for field deployment, and the development of more comprehensive and diverse datasets.…”
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Deteksi Covid-19 pada Citra Sinar-X Dada Menggunakan Deep Learning yang Efisien by Novanto Yudistira, Agus Wahyu Widodo, Bayu Rahayudi

“…One way of detection is through pulmonary x-ray images. However, besides requiring an algorithm model that can produce high accuracy, lightweight computation is needed so that it can be applied in a detector. …”
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High-fidelity pose estimation for real-time extended reality (XR) visualization for cardiac catheterization by Mohsen Annabestani, Sandhya Sriram, Alexandre Caprio, Sepehr Janghorbani, S. Chiu Wong, Alexandros Sigaras, Bobak Mosadegh

“…A custom 3D-printed setup with mounted cameras enables biplane video capture of a catheter. A computer vision algorithm processes the biplane images in real-time to reconstruct the 3D catheter trajectory represented by any designated number of points along its length. …”
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Research Progress on Non-destructive Detection Techniques for Potatoes Quality by YANG Guang-hui, LI Hong-ling, ZHANG Hua, LI Hui, LIU Xiao-long, JIA Shang-yun, HU Bo, SHANG Yi-bo

“…Through research and analysis, the problems facing non-destructive detection technology for potato quality were proposed, and prospects for the selection of imaging systems, multimodal detection technology, algorithm optimization, and intelligent detection technology were discussed, which could provide a reference for in-depth research and practical application of non-destructive detection technology for potato quality.…”
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Nonreciprocal surface plasmonic neural network for decoupled bidirectional analogue computing by Xiaomeng Li, Haochen Yang, Enzong Wu, Xincheng Yao, Ying Li, Fei Gao, Hongsheng Chen, Zuojia Wang

“…We demonstrate broadband bidirectional decoupled image processing across various operators, where the operator configuration can be precisely designed by encoding the input signals. …”
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Key Vital Signs Monitor Based on MIMO Radar by Michael Gottinger, Nicola Notari, Samuel Dutler, Samuel Kranz, Robin Vetsch, Tindaro Pittorino, Christoph Würsch, Guido Piai

“…This work introduces a sophisticated multiple-input multiple-output (MIMO) solution that captures a radar image to estimate the sleep pose and position of a person (first step) and determine key vital parameters (second step). …”
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Orbitrap noise structure and method for noise unbiased multivariate analysis by Michael R. Keenan, Gustavo F. Trindade, Alexander Pirkl, Clare L. Newell, Yuhong Jin, Konstantin Aizikov, Andreas Dannhorn, Junting Zhang, Lidija Matjačić, Henrik Arlinghaus, Anya Eyres, Rasmus Havelund, Richard J. A. Goodwin, Zoltan Takats, Josephine Bunch, Alex P. Gould, Alexander Makarov, Ian S. Gilmore

“…Using a stable primary ion beam to provide a well-controlled source of ions from a silver sample, we find that noise has three characteristic regimes: at low signals the Orbitrap detector noise and a censoring algorithm dominates; at intermediate signals counting noise specific to the ion emission process is most significant; and at high signals additional sources of measurement variation become important. …”
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Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan by A. Sarabchi, H. Rezaei, F. Shahbazi

“…Results and Discussion Field observations revealed that the study area could be categorized into 12 primary LULC units, including irrigated farms, flow farming, dry farming, traditional gardens (with no evident order observed among planted trees), modern gardens (featuring regular rows where soil reflectance is visible between tree rows), grasslands, degraded grasslands, highland pastures (covered by Astragalus spp., dominantly), lowland pastures (covered by halophyte plants), salt domes (with no or very poor vegetation), outwash areas (River channel with many waterways), and resistant areas. The results of image classification indicated that the performance of the SVM algorithm across different band combinations is superior to that of the maximum likelihood method. …”
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IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400 by Ahmad Saeed Mohammad, Thoalfeqar G. Jarullah, Musab T. S. Al-Kaltakchi, Jabir Alshehabi Al-Ani, Somdip Dey

“…The investigation proposes a framework called IoT-MFaceNet (Internet-of-Things-based face recognition using MobileNetV2 and FaceNet deep-learning) utilizing pre-existing deep-learning methods, employing the MobileNetV2 and FaceNet algorithms on both ImageNet and FaceNet databases. Additionally, an in-house database is compiled, capturing data from 50 individuals via a web camera and 10 subjects through a smartphone camera. …”
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DEVELOPMENT OF A FUZZY COGNITIVE MAP MODEL FOR CREATING STEM PROJECTS IN PROFESSIONAL TRAINING OF FUTURE SPECIALISTS IN ENGINEERING AND PEDAGOGICAL SPECIALTIES by Derevyanchuk Oleksandr

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EFFECTS OF OZONE TREATMENT ON 0.05% CHLORHEXIDINE BIGLUCONATE SOLUTION: ASSESSMENT OF CRYSTALLOGRAPHY RESULTS IN AN IN VITRO EXPERIMENT by V.O. Kurylo, D.М. Коrol, M.М. Rozhko, D.D. Kindii, K.D. Toncheva, R.V. Kozak

“…The methodology employed involves an open-air thesis and subsequent microscopic examination of crystal formation results. The ImageJ software (Wayne Rasband, USA) was applied to study morphological changes in the crystal formation process through a structured algorithm of sequential actions. …”
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Steganography in IoT: A Comprehensive Survey on Approaches, Challenges, and Future Directions by Maha Driss, Lamia Berriche, Safa Ben Atitallah, Siwar Rekik

“…We evaluated and validated the techniques employed using key metrics such as imperceptibility, robustness, and embedding capacity while emphasizing the computational restrictions, real-time processing requirements of IoT devices, and the vital requirement for energy-efficient algorithms. …”
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