A systematic review of multimodal fake news detection on social media using deep learning models by Maged Nasser, Noreen Izza Arshad, Abdulalem Ali, Hitham Alhussian, Faisal Saeed, Aminu Da'u, Ibtehal Nafea

“…This paper provides a comprehensive review and analysis of existent DL-based models for multimodal fake news detection, focusing on diverse aspects, including user profiles, news content, images, videos, and audio data. …”
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A comparative analysis of deep learning models for assisting in the diagnosis of periapical lesions in periapical radiographs by Jian Liu, Chaoran Jin, Xiaolan Wang, Kexu Pan, Zhuoyang Li, Xinxuan Yi, Yu Shao, Xiaodong Sun, Xijiao Yu

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Developing a framework for medical student feedback literacy using a triangulated thematic analysis by Mohamad Nabil Mohd Noor, Jessica Grace Cockburn, Chan Choong Foong, Chiann Ni Thiam, Yang Faridah Abdul Aziz, Tiiu Sildva, Galvin Sim Siang Lin, Jamuna Vadivelu

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Computer vision-based road lane glass beads quality analysis system using ANN by Gi-sang Kang, Jong-Jae Lee, Jong Woo Kim, Seung Wan Seo, Hoki Ban

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Integrating radiomic texture analysis and deep learning for automated myocardial infarction detection in cine-MRI by Wang Xu, Xiangjiang Shi

“…This study proposes a hybrid framework combining radiomic texture analysis with deep learning-based segmentation to enhance MI detection on non-contrast cine cardiac magnetic resonance (CMR) imaging.The approach incorporates radiomic features derived from the Gray-Level Co-Occurrence Matrix (GLCM) and Gray-Level Run Length Matrix (GLRLM) methods into a modified U-Net segmentation network. …”
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Target behavior recognition of fully mechanized mining face based on multi-information self-attention by Yi YANG, Yanlei YANG, Tian WANG, Keping WANG

“…However, the lighting conditions in fully mechanized mining faces are generally poor. coal dust and water mist can easily cause blurring of the video image, making it difficult to extract key features for identifying target behaviors. …”
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Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods. by Mingtao Gao, Minhui Li, Lu Chen, Zihao Guo, Chengyang Guo, Liping Li, Changsen Bu

“…Especially in the rock specimen analysis of prefabricated multi-angle cracks, image quality and algorithm adaptability have emerged as the critical bottlenecks restricting the identification accuracy. …”
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Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach by Sumaira Tabassum, M. Jawad Khan, Javaid Iqbal, Asim Waris, M. Adeel Ijaz

“…It is fine-tuned on labeled data, followed by a classification step using a Convolutional Neural Network (CNN). …”
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Advancing Particle Tracking: Self-Organizing Map Hyperparameter Study and Long Short-Term Memory-Based Outlier Detection by Max Klein, Niklas Dormagen, Lukas Wimmer, Markus H. Thoma, Mike Schwarz

“…Furthermore, the SOM’s performance was directly compared with that of the preceding conventional PTV method, Trackpy, for complex plasmas using synthetic data. Finally, as a new approach to identifying incorrectly matched particle traces, a Long Short-Term Memory (LSTM) neural network was developed to sort out all inaccuracies to further improve the outcome. …”
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Classification of Real-World Objects Using Supervised ML-Assisted Polarimetry: Cost/Benefit Analysis by Rui M. S. Pereira, Filipe Oliveira, Nazar Romanyshyn, Irene Estevez, Joel Borges, Stephane Clain, Mikhail I. Vasilevskiy

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Advanced AI-Driven Thermographic Analysis for Diagnosing Diabetic Peripheral Neuropathy and Peripheral Arterial Disease by Albert Siré Langa, Jose Luis Lázaro-Martínez, Aroa Tardáguila-García, Irene Sanz-Corbalán, Sergi Grau-Carrión, Ibon Uribe-Elorrieta, Arià Jaimejuan-Comes, Ramon Reig-Bolaño

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Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM by Mahmoud Murhej, G. Nallasivan

“…IntroductionThe rapid growth of advanced networking causes a significant increase in malicious threats to website data for accessing user information via phishing attacks. …”
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Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-based Likelihoods and Priors by Alexandre Adam, Connor Stone, Connor Bottrell, Ronan Legin, Yashar Hezaveh, Laurence Perreaul-Levasseur

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Integrated deep learning paradigm for comprehensive lung cancer segmentation and classification using mask R-CNN and CNN models by Abimbola G. Akintola, Kolawole Y. Obiwusi, Yusuf O. Olatunde, Mohammed Usman, Faizol G. Aberuagba, Muhammed A. Adebisi, Shamsudeen A. Adebayo

“…This paper presents an integrated deep learning approach that combines Mask Region-based Convolutional Neural Networks (Mask R-CNN) for lung nodule segmentation with Convolutional Neural Networks (CNN) for malignancy classification in CT scan images. …”
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Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field by Siqiao Tan, Qiang Xie, Wenshuai Zhu, Yangjun Deng, Lei Zhu, Xiaoqiao Yu, Zheming Yuan, Zheming Yuan, Yuan Chen, Yuan Chen

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Bayesian curriculum generation in sparse reward reinforcement learning environments by Onur Akgün, N. Kemal Üre

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Improving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning by Francis Loignon-Houle, Nicolaus Kratochwil, Maxime Toussaint, Carsten Lowis, Gerard Ariño-Estrada, Antonio J. Gonzalez, Etiennette Auffray, Roger Lecomte

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Machine-Learning-Based Biomechanical Feature Analysis for Orthopedic Patient Classification with Disc Hernia and Spondylolisthesis by Daniel Nasef, Demarcus Nasef, Viola Sawiris, Peter Girgis, Milan Toma

“…The models demonstrate an accuracy of up to 90.83% and a precision of up to 91.86%, highlighting the effectiveness of ML models in diagnosing IVD pathology. The analysis of the weight of different biomechanical features in the decision-making processes of the models provides insights into the biomechanical changes involved in the pathogenesis of Lumbar IVD abnormalities. (4) <b>Conclusions</b>: This research contributes to the ongoing efforts to leverage data-driven ML models in improving patient outcomes in orthopedic care. …”
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Path Analysis of the e-Commerce Platform Driven by Multimodal Multimedia Information to Promote the Upgrading of Beautiful Countryside by Xiaofang Chen, Fukang Deng

“…This paper focuses on analyzing the significance and specific strategies of applying multimedia equipment in rural revitalization e-commerce, in order to improve the level of rural revitalization e-commerce. Through data analysis, it is found that the application of multimedia has increased the level of rural revitalization e-commerce by 32.74%.…”
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Media format vs genre in social media by Shchipitsina , Larisa Yurievna, Kaziaba, Viktoria Викторовна

“…The theoretical ideas of the article are illustrated by the results of observation of social media messages collected using big data technology to study the image of the city of Arkhangelsk. …”
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