Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring by Meili Ren, Mengxing Huang, Yu Zhang, Zhijun Zhang, Meiyan Ren

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Extraction of Human Motion Information from Digital Video Based on 3D Poisson Equation by Yilin Wang, Baokuan Chang

“…Based on the above analysis, the main user has prior knowledge of the network environment. …”
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Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition by Akella Subrahmanya Narasimha Raju, K. Venkatesh, B. Padmaja, CH. N. Santhosh Kumar, Pattabhi Rama Mohan Patnala, Ayodele Lasisi, Saiful Islam, Abdul Razak, Wahaj Ahmad Khan

“…The proposed method significantly enhances the clinical diagnostic accuracy and the capabilities of medical image analysis or early CRC detection.…”
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Cloud Detection Challenge-Methods and Results by Alessio Barbaro Chisari, Luca Guarnera, Alessandro Ortis, Wladimiro Carlo Patatu, Bruno Casella, Luca Naso, Giuseppe Puglisi, Vincenzo del Zoppo, Mario Valerio Giuffrida, Sebastiano Battiato

“…Submissions proposed a wide-range of AI-based approaches, including Transformer and Convolutional Neural Network architectures, showcasing the potential of advanced image analysis techniques in lidar-based cloud detection. …”
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Monitoring harmful algae blooms in Darlings Lake, New Brunswick, using K-means clustering of multi-spectral imagery by Catherine Evans, Romina Gehrmann, Christopher Greene, Sarah Blenis, Roxanne MacKinnon, Jason Newport, Sarah Vela, Matthew Smith, Zahra Sadeghi, Stan Matwin, Stan Matwin, Chris Whidden

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Vehicle Routing Optimization Based on Multimedia Communication and Intelligent Transportation System by Weiyuan Huang, Yanyan Chen, Xun Zhu

“…The proposed intelligent transportation system realizes functions, such as vehicle speed detection, vehicle behavior semantic analysis, license plate recognition by processing video data, and image data acquired based on multimedia communication, and can capture illegal vehicles and then identify illegal vehicles. …”
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Cell-mechanical parameter estimation from 1D cell trajectories using simulation-based inference. by Johannes C J Heyn, Miguel Atienza Juanatey, Martin Falcke, Joachim O Rädler

“…Trajectories of motile cells represent a rich source of data that provide insights into the mechanisms of cell migration via mathematical modeling and statistical analysis. …”
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La féminisation du sans-abrisme bruxellois : une évolution à mieux définir by Marjorie Lelubre

“…Finally, the effects and impacts of the image of women on the support they receive within the institutional network are discussed.…”
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Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

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Plant leaf disease detection using vision transformers for precision agriculture by Murugavalli S, Gopi R

“…Traditional methods need large training datasets, are expensive, and may overfit. In leaf image analysis, convolutional neural networks (CNNs) have revealed promise in leaf disease detection and classification. …”
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Explainable AI supported hybrid deep learnig method for layer 2 intrusion detection by Ilhan Firat Kilincer

“…The proposed hybrid model is obtained by using CNN (Convolutional Neural Networks) and Bi-LSTM (Bidirectional Long Short-Term Memory) models, which are widely used in areas such as image analysis and time series data. …”
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The Effectiveness of Deep Learning in the Differential Diagnosis of Hemorrhagic Transformation and Contrast Accumulation After Endovascular Thrombectomy in Acute Ischemic Stroke Pa... by Mehmet Beyazal, Merve Solak, Murat Tören, Berkutay Asan, Esat Kaba, Fatma Beyazal Çeliker

“…After training the CNN models, their performance was evaluated using accuracy, loss, validation accuracy, validation loss, F1 score, Receiver Operating Characteristic (ROC) Curve, confusion matrix, confidence interval, and <i>p</i>-value analysis. <b>Results</b>: The models trained in the study were derived from 556 images in data sets obtained from 52 patients; 186 images in training data for CA and 186 images training data for HT (with an increase to 558 images), 115 images used for validation data, and 69 images were compared using test data. …”
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Volleyball technical action recognition based on CNN-LSTM by Zhigang Zhang, Yong Tian, Jinchong Qi

“…Abstract As the artificial intelligence and sensing technology rapid develop, accurate recognition of complex sports such as volleyball is greatly significant for improving training efficiency and event analysis. In response to the accuracy and efficiency issues of traditional camera technology in the special environment of volleyball sports, this study first uses millimeter wave radar to collect point cloud spatial data of athletes, and then extracts human spatial features from the data through convolutional neural networks to raise the resolution and accuracy of the data. …”
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A phenomenological study of the hidden life of cafes and the construction of women's identity by marziyeh shahryari

“…Semi-structured interviews were used to collect data, and thematic analysis was used to analyze the data from the phenomenological interviews. …”
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Multidimensional Nonlinear Landscape Planning Based on Parameter Feature Extraction and Multimedia Technology by Tiesheng Liu

“…The application of multimedia technology will pave the way for the reference of computer design program, lead to multidimensional nonlinear landscape image analysis, sample and analyze it, and change the parameter characteristics through simulation to realize the optimization of landscape design. …”
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Advancements in Hematologic Malignancy Detection: A Comprehensive Survey of Methodologies and Emerging Trends by Rajashree Nambiar, Ranjith Bhat, Balachandra Achar H V

“…The investigation and diagnosis of hematologic malignancy using blood cell image analysis are major and emerging subjects that lie at the intersection of artificial intelligence and medical research. …”
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In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

“…Machine learning (ML) is an artificial intelligence (AI) tool that automatically processes huge amounts of image data. Immunotherapies have revolutionized the treatment of blood cancer. …”
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Fine-art recognition using convolutional transformers by Yu Liu, Haozhe Bai, Jingchao Wang

“…Researchers worldwide are continually developing various algorithms across multiple fields to achieve accurate image classification. Advanced computer vision algorithms are crucial for architectural and artistic analysis. …”
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Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches by Mohsin Akram, Muhammad Adnan, Syed Farooq Ali, Jameel Ahmad, Amr Yousef, Tagrid Abdullah N. Alshalali, Zaffar Ahmed Shaikh

“…Abstract Deep learning-based medical image analysis has shown strong potential in disease categorization, segmentation, detection, and even prediction. …”
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Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2SE) by N. Sasikaladevi, S. Pradeepa, A. Revathi, S. Vimal, Gaurav Dhiman

“…The fused deep neural network (DNN) model with Discriminant Subspace Ensemble is designed to identify the diabetic plants from VNPlant200 data set. …”
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