Web-Enhanced Vision Transformers and Deep Learning for Accurate Event-Centric Management Categorization in Education Institutions by Khalied M. Albarrak, Shaymaa E. Sorour

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Multimodal scene recognition using semantic segmentation and deep learning integration by Aysha Naseer, Mohammed Alnusayri, Haifa F. Alhasson, Mohammed Alatiyyah, Dina Abdulaziz AlHammadi, Ahmad Jalal, Jeongmin Park

“…In order to overcome these obstacles, this study presents a novel multimodal deep learning technique that enhances scene recognition accuracy and robustness by combining depth information with conventional red-green-blue (RGB) image data. Convolutional neural networks (CNNs) and spatial pyramid pooling (SPP) are used for analysis after a depth-aware segmentation methodology is used to identify several objects in an image. …”
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A Framework for the AI-based visualization and analysis of massive amounts of 4D tomography data for end users of beamlines by Steffen Kieß, Thomas Lang, Tomas Sauer, Andreas Michael Stock, Andrey Chernov, Yipeng Sun, Andreas K. Maier, Tomáš Faragó, Alexey Ershov, Gabriel Lefloch, Guilherme Silva, Tilo Baumbach, Simon Zabler, Astrid Hölzing, Kilian Dremel, Ali Riza Durmaz, Akhil Thomas, Ingo Manke, Nikolay Kardjilov, Tobias Arlt, Tak Ming Wong, Regine Willumeit-römer, Julian Moosmann, Berit Zeller-Plumhoff, Dieter Froning, Sven Simon

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Application of Neural Networks for Recognizing Rail Structural Elements in Magnetic and Eddy Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

“…For image recognition of structural elements in defectograms a neural network is applied. …”
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Large-scale functional network connectivity mediate the associations of white matter lesions with executive functions and information processing speed in asymptomatic cerebral smal... by Jing Chen, Weiwei lu, Zhangyang Wang, Mingfang Shi, Zhang Shi, Weibin Shi

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Dual-Channel CNN-Based Framework for Automated Rebar Detection in GPR Data of Concrete Bridge Decks by Sepehr Pashoutani, Mohammadsajjad Roudsari, Jinying Zhu

“…GPR surveys generate large amounts of data in the form of B-scan images, which display rebar traces as hyperbolas. …”
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A Comparative Analysis of Convolutional Neural Network (CNN): MobileNetV2 and Xception for Butterfly Species Classification by Mehta Pradnyatama, Christy Atika Sari, Eko Hari Rachmawanto, Hussain Md Mehedul Islam

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Masked and Noise-Masked Multimodal Brain Tumor Image Segmentation Using SegFormer and Shared Encoder Framework by K. Hemalatha, P. R. Vishnu Vardhan, Alfred Dharmaraj Aravindraj, S. Hari Hara Sudhan

“…Medical image segmentation is a critical task in clinical diagnosis and treatment, particularly for brain tumor analysis using imaging modalities such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans. …”
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Comparative Analysis of Trophic Status Assessment Using Different Sensors and Atmospheric Correction Methods in Greece’s WFD Lake Network by Vassiliki Markogianni, Dionissios P. Kalivas, George P. Petropoulos, Rigas Giovos, Elias Dimitriou

“…Today, open-source Cloud Computing platforms are valuable for geospatial image analysis while the combination of the Google Earth Engine (GEE) platform and new satellite launches greatly facilitate the monitoring of national-scale lake Water Quality (WQ). …”
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Vote-Based: Ensemble Approach by Abdul Ahad Abro

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Modelling of agricultural land dynamics using artificial neural networks and geospatial analysis in Melur Taluk, Tamil Nadu, India by Gowthaman M S, Murugasan R, Srinivasa Raju K, Makendran C

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FACIAL DETECTION IN COMPUTER VISION: BRIDGING GAP BETWEEN CNN, HAAR CASCADE AND MTCNN by Nipun Singhal, Nidhi Gupta, Ajay Kumar Singh

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A study of high-resolution remote sensing image landslide detection with optimized anchor boxes and edge enhancement by Kun Wang, Ling Han, Juan Liao

“…The YOLOv5(ISODATA) model was finally established for landslide image detection by incorporating the edge control factor and four clustering algorithms (K-means, K-means + +, k-medoid, and Iterative Self-Organizing Data Analysis Techniques Algorithm (ISODATA) to evaluate the accuracy of the detection anchor frame and add small target large-scale sampling. …”
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Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

“…Image processing using Machine Learning (ML) and Artificial Neural Network (ANN) methods was investigated by employing the algorithms of Geographic Resources Analysis Support System (GRASS) Geographic Information System GIS with embedded Scikit-Learn library of Python language. …”
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Synergizing vision transformer with ensemble of deep learning model for accurate kidney stone detection using CT imaging by Arwa Alzughaibi, Adwan A. Alanazi, Mohammed Alshahrani, Ines Hilali Jaghdam, Abaker A. Hassaballa

“…The presented LFFOEDL-AKSD technique mainly focuses on detecting kidney stones using CI imaging. At first, the presented LFFOEDL-AKSD technique applies the pre-processing phase, which involves image resizing for uniform CT scan dimensions and data augmentation through transformations like rotation and flipping to reduce overfitting, sobel filtering (SF) sharpens edges, and the data is separated into training, validation, and testing sets for model development. …”
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Deep attributes and decisions fusion for no-reference video quality analysis by Adil Baig

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Apple Detection via Near-Field MIMO-SAR Imaging: A Multi-Scale and Context-Aware Approach by Yuanping Shi, Yanheng Ma, Liang Geng

“…Accurate fruit detection is of great importance for yield assessment, timely harvesting, and orchard management strategy optimization in precision agriculture. Traditional optical imaging methods are limited by lighting and meteorological conditions, making it difficult to obtain stable, high-quality data. …”
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Seed multispectral imaging combined with machine learning algorithms for distinguishing different varieties of lettuce (Lactuca sativa L.) by Jinpeng Wei, Zhangyan Dai, Qi Zhang, Le Yang, Zhaoqi Zeng, Yuliang Zhou, Jun Liu, Bingxian Chen

“…This study explores feasibility of rapid, non-destructive identification of different lettuce varieties using multispectral imaging combined with machine learning. We firstly collected seed morphological and spectral data from 15 lettuce varieties using multispectral imaging. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…In radiology, AI aims to assist with image analysis and interpretation, potentially reducing human error and alleviating the radiological workload. …”
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Porosity Analysis and Thermal Conductivity Prediction of Non-Autoclaved Aerated Concrete Using Convolutional Neural Network and Numerical Modeling by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Diana Elshaeva, Andrei Chernil’nik, Irina Razveeva, Ivan Panfilov, Alexey Kozhakin, Emrah Madenci, Ceyhun Aksoylu, Yasin Onuralp Özkılıç

“…The object of this study is a database of images of aerated concrete samples obtained under laboratory conditions and under the same photography conditions, supplemented by using the author’s augmentation algorithm (up to 100 photographs). …”
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