Strawberry Disease Detection Using Multispectral UAV Imagery by A. F. Cheshkova, V. S. Riksen

“…Another promising direction is the development of classification models based on convolutional neural networks, which offer improved performance through deeper image analysis. …”
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Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema by Anwesa Mondal, Apurba Nandi, Subhasish Pramanik, Lakshmi Kanta Mondal

“…The architecture combines convolutional neural networks (CNNs) for image data with multi-layer perceptron (MLP) for tabular clinical data, allowing for a comprehensive analysis of both data types. …”
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REVISIT INTENTION PADA DESTINASI WISATA: ANALISIS BIBLIOMETRIK DAN REKOMENDASI PENELITIAN DI MASA DEPAN by Gede Yogananta Surya Kusuma, Astrid Puspaningrum

“…Data analysis was conducted using VOSviewer software that produces bibliometric visualizations in the form of networks, overlays, and density visualizations to map the relationship between themes and the contribution of each study. …”
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Measurements and Characterization for Millimeter-Wave Massive MIMO Channel in High-Speed Railway Station Environment at 28 GHz by Shuangde Li, Yuanjian Liu, Leke Lin, Qi Sun

“…In addition, propagation characteristics are simulated based on the improved ray tracing method of shooting and bouncing ray tracing/image (SBR/IM). The correctness of the improved ray tracing method is verified by comparing the measured results with the simulated results. …”
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MFEM-CIN: A Lightweight Architecture Combining CNN and Transformer for the Classification of Pre-Cancerous Lesions of the Cervix by Peng Chen, Fobao Liu, Jun Zhang, Bing Wang

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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…Results: The extracted data shows a comprehensive data on various techniques that are used for low dose CAA, advancements in image segmentation, noise reduction, and operator dose reduction highlight the potential of machine learning techniques. …”
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Deep Learning Methods for Inferring Industrial CO₂ Hotspots from Co-Emitted NO₂ Plumes by Erchang Sun, Shichao Wu, Xianhua Wang, Hanhan Ye, Hailiang Shi, Yuan An, Chao Li

“…Deep learning, leveraging its strengths in the automated and rapid analysis of image datasets, holds significant potential to enhance the efficiency and effectiveness of data processing in the GST. …”
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Review of construction and reasoning methods for knowledge graphs in coal mining domain by LUO Xiangyu, HUA Ying, WANG Xiping, XIE Panshi, WU Yongping

“…Knowledge from diverse data sources in the coal mining domain is extracted to construct a knowledge network. …”
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Epileptic Seizure Detection in EEG Signals Using Machine Learning and Deep Learning Techniques by Hepseeba Kode, Khaled Elleithy, Laiali Almazaydeh

“…Machine Learning (ML) and Deep learning (DL) algorithms have emerged as powerful feature extraction and classification tools in EEG signal analysis. Many studies have converted the EEG signals into either images and /or calculated time-frequency domain features and performed classification. …”
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Multimodal deep learning with MUF-net for noninvasive WHO/ISUP grading of renal cell carcinoma using CEUS and B-mode ultrasound by Yixin Zhu, Ji Wu, Qiongxian Long, Yan Li, Hao Luo, Lu Pang, Lin Zhu, Hui Luo

“…A novel model, the Multimodal Ultrasound Fusion Network (MUF-Net), integrated B-mode and CEUS modalities to extract and fuse image features using a weighted sum of predicted weights. …”
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Brain tau PET-based identification and characterization of subpopulations in patients with Alzheimer’s disease using deep learning-derived saliency maps by Yanxiao Li, Xiuying Wang, Qi Ge, Manuel B Graeber, Shaozhen Yan, Jian Li, Shuyu Li, Wenjian Gu, Shuo Hu, Tammie L. S. Benzinger, Jie Lu, Yun Zhou

“…A three dimensional-convolutional neural network model was employed for AD detection using standardized uptake value ratio (SUVR) images. …”
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Occupational dimension of the INFODORADCA+ project by Stefan Kwiatkowski

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Designing and explaining the political behavior model of managers in government organizations by Mehdi Izadi, Amir Hoshang Nazarpuri, Reza Sepahvand, Hojat Vahdati, Mohammad Hakak

“…In the data analysis, thematic analysis and the MICMAC software were used, and to prioritize the factors affecting political behavior, for the interpretative structural approach, the ism method was used. …”
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Transcriptomic and glucose metabolism of connectome dynamics variability in temporal lobe epilepsy revealed by simultaneous PET-fMRI by Jie Hu, Bixiao Cui, Zhenming Wang, Jingjuan Wang, Xiaoyin Xu, Jie Lu

“…However, the relationships between genetic factors, metabolic processes, and brain network dynamics are not yet fully understood. Simultaneous positron emission tomography and function magnetic resonance imaging (PET/fMRI) data were collected from 66 patients with TLE and 38 healthy controls (HCs). …”
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Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm by Y. Chu, Y. Chu, H. Zhang, X. Li, J. Henneberger

“…The algorithm consists of an upstream unsupervised learning network tasked with extracting meaningful representations from a large number of unlabeled ice crystal images, and a downstream supervised network is fine-tuned with a small subset of labeled images of the entire dataset to perform the classification task. …”
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Interpretable Deep Learning Model for Grape Leaf Disease Classification Based on EfficientNet with Grad-CAM Visualization by Castaka Agus Sugianto, Dini Rohmayani, Jhoanne Fredricka, Mohamed Doheir

“…Each image has a resolution of 300 × 300 pixels with a 24-bit color depth, ensuring sufficient detail for analysis. …”
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Towards virtual painting recolouring using vision transformer on x-ray fluorescence datacubes by Alessandro Bombini, Fernando García-Avello Bofías, Francesca Giambi, Chiara Ruberto

“…In this contribution, we define (and test) a pipeline to perform virtual painting recolouring using raw data of x-ray Fluorescence (XRF) analysis on pictorial artworks. …”
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Integration of AI and ML in Tuberculosis (TB) Management: From Diagnosis to Drug Discovery by Sameeullah Memon, Shabana Bibi, Guozhong He

“…Machine learning (ML) methodologies, such as support vector machines (SVMs) and random forests (RF), alongside deep learning (DL) technologies, particularly convolutional neural networks (CNNs) for image analysis, are employed to analyze diverse patient data, including medical images and biomarkers, to enhance the accuracy and speed of tuberculosis diagnosis. …”
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“Retweet for More”: The Serialization of Porn on the Twitter Alter Community by Ruepert Jiel Dionisio Cao

“…This article examines the notion of seriality in the context of the Filipino alter community, a network of Twitter users producing, distributing, and consuming pornographic images. …”
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Sensing the Cultural Significance with AI for Social Inclusion by Nan Bai

“…This thesis explores the use of AI in a methodological framework to include the contribution of a larger and more diverse group of participants with user-generated data. It is an interdisciplinary study integrating methods and knowledge from heritage studies, computer science, social sciences, network science, and spatial analysis. …”
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