Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning by Mohammed Al-alshaqi, Danda B. Rawat, Chunmei Liu

“…The research employs a dual-phased methodology, first analyzing textual data using various classifiers, then developing a multimodal approach combining BERT for text analysis and a modified CNN for visual data. …”
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Transformed L1 Regularization for Sparse Photoacoustic Tomography by Xueyan Liu, Lu Wang, Xin Wang, Ziqi Hao, Xiaolong Hu

“…The reconstruction of PAT images from incomplete and noisy experimental data is an ill-posed problem that requires regularization techniques to ensure meaningful and stable solutions. …”
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ECO++: Adaptive deep feature fusion target tracking method in complex scene by Yuhan Liu, He Yan, Qilie Liu, Wei Zhang, Junbin Huang

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Effect of Customer Name on Brand Choices: by Taku Togawa, Yuriko Isoda, Ryo Suzuki, Naoto Onzo

“…Previous studies have shown that kanji is processed as visual rather than auditory information. On the basis of this linguistic nature, the authors predict that the name-letter effect in kanji is caused by the congruence between a brand name and a consumer’s name in spelling and pronunciation (vs. only in pronunciation). …”
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Wavelet-Based Topological Loss for Low-Light Image Denoising by Alexandra Malyugina, Nantheera Anantrasirichai, David Bull

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Submarine Topography Classification Using ConDenseNet with Label Smoothing Regularization by Jingyan Zhang, Kongwen Zhang, Jiangtao Liu

“…Submarine landscapes are highly complex and diverse. Traditional visual interpretation methods are not only inefficient and subjective but also lack the precision required for high-accuracy classification. …”
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Combining OpenStreetMap with Satellite Imagery to Enhance Cross-View Geo-Localization by Yuekun Hu, Yingfan Liu, Bin Hui

“…This paper presents a novel CVGL method that fuses OSM data with satellite imagery, leveraging their complementary strengths to enhance localization robustness. …”
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Development and Practice of Cloud Collaborative Platform for Downhole Measurement Tools by Che Yang, Yuan Guangjie, Qian Hongyu, Du Weiqiang, Wang Chenlong, Ding Jiping

“…In the paper， based on the remote operation requirements of coreless magnetic steering tool， a platform architecture of five modules， including simulation rehearsal， virtual training， remote operation， smart tool and intelligent decision， was designed in detail， achieving a whole process digitization from predrilling risk assessment and in-drilling acquisition and processing to post-drilling feedback and optimization， and a visual interface was developed. Moreover， to solve the problem of low far-field ranging accuracy， multiple magnetic steering data mining algorithms such as support vector machine （SVM）， decision tree （DT）， multilayer perceptron （MLP） and convolutional neural network （CNN） were built and compared， indicating that the robustness and generalization of the multilayer perceptron algorithm is the best. …”
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Automatic Fault Classification in Photovoltaic Modules Using Denoising Diffusion Probabilistic Model, Generative Adversarial Networks, and Convolutional Neural Networks by Carlos Roberto da Silveira Junior, Carlos Eduardo Rocha Sousa, Ricardo Henrique Fonseca Alves

“…The results corroborate the use of the diffusion model as a PV data augmentation technique when compared with other methods such as GANs and GTs.…”
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INRNet: Neighborhood Re-Ranking-Based Method for Pedestrian Text-Image Retrieval by Kehao Wang, Yuhui Wang, Lian Xue, Qifeng Li

“…The primary challenge of this task lies in mapping two heteromodal data (visual and textual descriptions) into a unified feature space. …”
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GTrXL-SAC-Based Path Planning and Obstacle-Aware Control Decision-Making for UAV Autonomous Control by Jingyi Huang, Yujie Cui, Guipeng Xi, Shuangxia Bai, Bo Li, Geng Wang, Evgeny Neretin

“…The algorithm performs positional embedding on multimodal data combining visual and sensor information. Leveraging the self-attention mechanism of GTrXL, it effectively focuses on different segments of multimodal data for encoding while capturing sequential relationships, significantly improving obstacle recognition accuracy and enhancing both learning efficiency and sample efficiency. …”
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LARE: Latent augmentation using regional embedding with vision-language model by Kosuke Sakurai, Tatsuya Ishii, Ryotaro Shimizu, Linxin Song, Masayuki Goto

“…In recent years, considerable research has been conducted on vision-language models (VLMs) that handle both image and text data; these models are being applied to diverse downstream tasks, such as “image-related chat,” “image recognition by instruction,” and “answering visual questions.” …”
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Fostering college students’ mental well-being: the impact of social networking site utilization on emotion management and regulation by Yuehua Han, Zhifen Xu

“…However, existing research on aspect-level sentiment analysis among college students within social networking sites faces challenges such as inadequate feature extraction, ineffective handling of data noise, and the neglect of complex interactions in multimodal data. …”
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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…These models were trained and validated on a dataset of 329 data points, assessed through performance metrics and visualizations. …”
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An innovative contactless current sensor for smart grids applications by Khaled Osmani, Lachlan Jones, Detlef Schulz

“…All current-based and transformed data are subsequently stored on a Secure Digital (SD) card and visualized as current-time curves using MATLAB. …”
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Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms by V. Maheskumar, R. Vijayarajeswari

“…This system ensures decentralized training across healthcare facilities, preserving data privacy while improving classification performance. …”
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Classification of Subdivision Land Use and Land Cover Using Deep Learning Models by Bongseok Jeong, Sunmin Lee, Moung-jin Lee

“…The accuracy and reliability of AI model-based land cover maps increase with the amount of training data, but it is difficult to acquire large amounts of data due to the time required for label data annotation. …”
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“Target–Classification–Modification” Method for Spatial Identification of Brownfields: A Case Study of Tangshan City, China by Quanchuan Fu, Jingyuan Zhu, Xiaodi Zheng, Zhengxiang Li, Maini Chen, Yuyuwei He

“…It leverages integrated multi-source open-access data and clear rules for subtype classification and the determination of spatial boundaries and abandonment status. …”
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COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM by Denys Teslenko, Anna Sorokina, Artem Khovrat, Nural Huliiev, Valentyna Kyriy

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Fractional-order model of malaria incorporating treatment and prevention strategies by Benedict Celestine Agbata, Sander Kovaci, Dennis Ferdinand Agbebaku, Raimonda Dervishi, Emmanuel Abah, Godwin Christopher Ezike Mbah, Homan Emadifar, Aseel Smerat

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