Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks by Haoming Zhang, Yue Qi, Xiaoting Xue, Yahui Nan

“…On the basis of these collected and generated images, we designed a stone inscription image denoising model based on multiscale feature fusion and introduced Charbonnier loss function to improve this image denoising model. …”
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Tracing the paths of modular evolution by quantifying rearrangement events of protein domains by Abdulbaki Coban, Erich Bornberg-Bauer, Carsten Kemena

“…Results Here we determine, at unprecedented completeness, the rates of fusion, fission, emergence and loss of domains in five eukaryotic clades (monocots, eudicots, fungi, insects, vertebrates). …”
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Hyperspectral Band Selection with Unique Pixel Extraction and Adaptive Neighbor Clustering by Bing Han, Mingqing Liu, Zhenyu Ma, Ke Zhang, Yanke Xu, Jingyu Wang, Qi Wang

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A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges by Zongxu Liu, Hui Guo, Yingshuai Zhang, Zongliang Zuo

“…Additionally, the paper highlights future research directions, including the potential of multi-model fusion, emerging deep learning technologies like Transformers, and the integration of smart sensors and IoT technologies to develop intelligent, automated, and reliable prediction systems. …”
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OBTPN: A Vision-Based Network for UAV Geo-Localization in Multi-Altitude Environments by Nanxing Chen, Jiqi Fan, Jiayu Yuan, Enhui Zheng

“…Subsequently, we devised a feature fusion head, which enhanced the model’s capacity to process multi-scale information. …”
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Innovative 3D printing technologies and advanced materials revolutionizing orthopedic surgery: current applications and future directions by Bo Cong, Bo Cong, Haiguang Zhang, Haiguang Zhang

“…This review aims to provide a more systematic and comprehensive perspective on emerging 3D printing technologies—ranging from extrusion-based methods and bioink printing to powder bed fusion—and the broadening array of materials, including bioactive agents and cell-laden inks. …”
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Remote Wind Turbine Inspections: Exploring the Potential of Multimodal Drones by Ahmed Omara, Adel Nasser, Ahmad Alsayed, Mostafa R. A. Nabawy

“…Finally, the use of sensor fusion within techniques such as GPS and LiDAR SLAM enables high navigation performances while simultaneously utilising these sensors to conduct the inspection tasks.…”
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NOVEL MULTI-MODAL OBSTRUCTION MODULE FOR DIABETES MELLITUS CLASSIFICATION USING EXPLAINABLE MACHINE LEARNING by Reehana SHAIK, Ibrahim SIDDIQUE

“…This module extracts the specific features and the proposed novel Obstructive Erasing Module remove the remaining artifacts and then the extracted features are fed into the Multi-Uni-Net for the fusion of the two modalities and the fused image is classified using EXplainable Machine Learning (EX-ML). …”
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Performance Evaluation of a Visual Defects Detection System for Railways Monitoring by Radosavljevic Saša, Rivero Alain, Rodríguez Flórez Sergio, El Ouardi Abdelhafid, Michel Pauline, Bouamama Belkacem O., Vanheeghe Philippe

“…The paper details the system’s architecture, synchronisation methods, and decision fusion process to improve the precision of limited mono-modal systems. …”
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Detecting respiratory diseases using machine learning-based pattern recognition on spirometry data by Ahmed I. Taloba, R.T. Matoog

“…The COPD disease data set is the basis for all modeling and testing. The adopted SVM-KNN fusion model integrated in Python proved to deliver a high level of performance with an accuracy of 94 %. …”
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Real-time helium bubble growth in tungsten by in-situ GISAXS by L. Corso, S. Curiotto, F. Cheynis, P. Muller, E. Bernard, M. Cabie, C. Martin, F. Leroy

“…Nuclear fusion, as a carbon-free energy source, is actively pursued by the international community. …”
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Mechanical characteristics and load-bearing effect of roadway anchorage composite carrier by Wensong Xu, Yaoyuan Zhang, Chao Wang, Xinwen Wu, Jibin Zhou

“…In this paper, a mechanical model for the anchorage composite carrier is meticulously constructed through a fusion of theoretical analysis and advanced numerical simulation techniques. …”
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MSD-Net: Multi-scale dense convolutional neural network for photoacoustic image reconstruction with sparse data by Liangjie Wang, Yi-Chao Meng, Yiming Qian

“…MSD-Net exploits the advantages of multi-scale information fusion and dense connections to improve the performance of CNN. …”
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Radical Resection of a Late-Relapsed Testicular Germ Cell Tumour: Hepatectomy, Cavotomy, and Thrombectomy by C. Ní Leidhin, C. E. Redmond, A. M. Cahalane, H. M. Heneghan, R. Motyer, E. R. Ryan, E. Hoti

“…This case illustrates the enhanced potential for tumour resection through a fusion of principles derived from surgical oncology and liver transplantation.…”
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Grid Anchor Lane Detection Based on Attribute Correlation by Qiaohui Feng, Cheng Chi, Fei Chen, Jianhao Shen, Gang Xu, Huajie Wen

“…Secondly, a convolutional reordering upsampling method has been proposed, and the model integrates the global feature information generated by multi-layer perceptron (MLP), achieving the fusion of long-distance lane line features. The upsampling and MLP enhance the dual perception ability of the feature pyramid network in detail features and global features. …”
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From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction by Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

“…As far as we know and as of right now, there hasn’t been much interest in supporting a fusion-based system that critically reviews machine learning techniques using grid search optimization, feature selection, and smote technique and examines how injury severity prediction is affected by road crashes.…”
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SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection by Ntandoyenkosi Zungu, Peter Olukanmi, Pitshou Bokoro

“…Next, we fine-tune the network by training it on a dataset of labeled surveillance videos, with a focus on optimizing the fusion process between the two architectures. Experimental results demonstrate a significant improvement in accuracy compared with individual models. …”
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Hospitalizations for bronchiolitis among infants before and after the SARS-CoV-2 pandemic: an area-based study of the Emilia-Romagna Region, Italy by Elisa Ballardini, Marco Manfrini, Silvia Fattori, Elena Pellacani, Branislava Ćosić, Giancarlo Gargano, Alberto Berardi

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Micronutrient Deficiency and Wernicke’s Encephalopathy in the Setting of Over the Counter Transcutaneous Multivitamin Patch Use Following Bariatric Surgery by Hisham Mohammed Babu, MBBS, Andrew J. Spiro, MD, Thanh D. Hoang, DO, Mohamed K.M. Shakir, MD

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Ceremonias y Símbolos: Aportes al Diálogo Interreligioso en la Educación Intercultural by Jéssica Sepúlveda Pizarro, Conny Ortiz Chavez, Sergio Carihuentro Millaleo, Andrea Castillo Muñoz

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