RGB-D camera and graph neural network-based SLAM for dynamic and low-texture environments by Xiaoran Liu, Xiaowei Zhang, Xiaochen Yan, Peng Liu, Haksrun Lao

“…To address these challenges, this study proposes an enhanced SLAM framework integrating RGB-D sensing with a novel Depth-aware Point-Line Attentional Graph Neural Network (DPLAGNN). The core contributions include:(1)A feature fusion mechanism combining geometric primitives with attention-weighted descriptors;(2)Dynamic scene adaptation through spatiotemporal feature consistency verification;(3)Multi-modal optimization for low-texture environment mapping. …”
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Novel algorithm for multifocus image fusion: integration of convolutional neural network and partial differential equation by Gargi J Trivedi, Rajesh Sanghvi

“…This paper presents a novel method for Multifocus image fusion that combines anisotropic diffusion PDE filtering and convolutional neural network (CNN) feature extraction. The proposed method aims to preserve image edges and details while reducing noise through the utilization of anisotropic diffusion PDE filtering. …”
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Research on Ship Engine Fuel Consumption Prediction Algorithm Based on Adaptive Optimization Generative Network by Defu Zhang, Yuxuan Song, Jianfeng Gao, Zhenyu Shen, Liangkuan Li, Anren Yao

“…Furthermore, to overcome the limitations of existing models, such as insufficient prediction accuracy and poor stability under complex operating conditions, a Meta-learning Diffusion Residual Attention Network (MD-RAN) is proposed. This approach leverages the strengths of diffusion models in nonlinear generative modeling, integrates meta-learning mechanisms to enhance task adaptation speed, employs multi-head attention modules to strengthen feature extraction, and incorporates dynamic residual connections to improve training stability and flexibility. …”
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Salient object detection dataset with adversarial attacks for genetic programming and neural networksMendeley Data by Matthieu Olague, Gustavo Olague, Roberto Pineda, Gerardo Ibarra-Vazquez

“…Machine learning is central to mainstream technology and outperforms classical approaches to handcrafted feature design. Aside from its learning process for artificial feature extraction, it has an end-to-end paradigm from input to output, reaching outstandingly accurate results. …”
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Lung Nodule Malignancy Prediction From Longitudinal CT Scans With Siamese Convolutional Attention Networks by Benjamin P. Veasey, Justin Broadhead, Michael Dahle, Albert Seow, Amir A. Amini

“…<italic>Goal:</italic> We propose a convolutional attention-based network that allows for use of pre-trained 2-D convolutional feature extractors and is extendable to multi-time-point classification in a Siamese structure. …”
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A Message Passing Neural Network Framework with Learnable PageRank for Author Impact Assessment by SONG, G., FU, D., WU, X.

“…We propose a novel Neuro-Enhanced PageRank Network (NPRNet), which integrates graph neural networks with PageRank to address these deficiencies. …”
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A visual SLAM loop closure detection method based on lightweight siamese capsule network by Yuhan Zhou, Mingli Sun

“…Therefore, aiming at the problems of traditional methods, this paper proposes an algorithm based on the Siamese capsule neural network by using the deep learning method. We have designed a new feature extractor for capsule networks, and in order to further reduce the parameter count, we have performed pruning based on the characteristics of the capsule layer. …”
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A Human Tracking System for the Rocker-Bogie Mobile Robot Utilizing the YOLOv8 Network by Huy Anh Bui, Thi Thoa Mac, Xuan Thuan Nguyen

“…The stability and obstacle-climbing capability of this model are evaluated as suitable choices for mobile robots. In this paper, a prototype of a Rocker-Bogie mobile robot featuring a human tracking system is proposed. …”
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Ethnic dance movement instruction guided by artificial intelligence and 3D convolutional neural networks by Ni Zhen, Park Jae Keun

“…Abstract This study aims to explore the potential application of artificial intelligence in ethnic dance action instruction and achieve movement recognition by utilizing the three-dimensional convolutional neural networks (3D-CNNs). In this study, the 3D-CNNs is introduced and combined with a residual network (ResNet), resulting in a proposed 3D-ResNet-based ethnic dance movement recognition model. …”
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LarGAN: A Label Auto-Rescaling Generation Adversarial Network for Rare Surface Defects by Guan Qin, Hanxin Zhang, Ke Xu, Liaoting Pan, Lei Huang, Xuezhong Huang, Yi Wei

“…To validate the generation results, we evaluate not only standard metrics, such as FID, SSIM, and LPIPS, but also performance, through the downstream detection model YOLOv8. …”
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Early Detection of Congenital Heart Diseases among Infants Using Artificial Neural Network Algorithm by Lucy Ifeyinwa Ezigbo, Anthony Kwubeghari, Francis Okoye

“…After the data processing stage, Artificial Neural Network (ANN) algorithm is adopted and trained with the data to generate the model for the detection of the CHD. …”
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DC-WUnet: An Underwater Ranging Signal Enhancement Network Optimized with Depthwise Separable Convolution and Conformer by Xiaosen Liu, Juan Li, Jingyao Zhang, Yajie Bai, Zhaowei Cui

“…The encoder incorporates the Conformer module and skip connections to enhance the network’s multiscale feature extraction capability. …”
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Ensemble-based sesame disease detection and classification using deep convolutional neural networks (CNN) by Abenet Alazar Hailu, Banchalem Chebudie Kassa, Esubalew Asmare Desta, Fikadu Berie Adugna, Ayodeji Olalekan Salau

“…The proposed ensemble model integrates these individual networks to enhance classification accuracy and improve generalization across diverse datasets. …”
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Multimodal Fusion Multi-Task Learning Network Based on Federated Averaging for SDB Severity Diagnosis by Songlu Lin, Renzheng Tang, Yuzhe Wang, Zhihong Wang

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SPA-Net: An Offset-Free Proposal Network for Individual Tree Segmentation from TLS Data by Yunjie Zhu, Zhihao Wang, Qiaolin Ye, Lifeng Pang, Qian Wang, Xiaolong Zheng, Chunhua Hu

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A network meta-analysis of optimal strategies for preventing post-endoscopic retrograde cholangiopancreatography pancreatitis by Erfan Arabpour, Alireza Azarboo, Amirreza Pouladi, Parya Mozafari Komesh-Tape, Fatemeh Mousavi Eshlaghi, Hadi Golmoradi, Amirhossein Ghaseminejad-Raeini, Amir Sadeghi, Mohammad Reza Zali

“…The objective of this network meta-analysis was to evaluate and compare different preventive strategies for overall, mild, and moderate-to-severe PEP in both average- and high-risk patients. …”
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Performance Evaluation of Hybrid Machine Learning Algorithms for Online Lending Credit Risk Prediction by Tesfahun Berhane, Tamiru Melese, Abdu Mohammed Seid

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Evaluating YOLO Models for Efficient Crack Detection in Concrete Structures Using Transfer Learning by Muhammad Sohaib, Muzamal Arif, Jong-Myon Kim

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An Evaluation Method of Dental Treatment Quality Combined with Deep Learning and Multi-index Decomposition by Gang Peng, Jie Liu, Feng Yan, Beicun Liu

“…Dentists judge that the quality of dental treatment for each patient is very time-consuming and inefficient, lacks quantitative evaluation criteria, and is easy to cause errors. At the same time, the traditional method of extracting tooth and root canal image features based on experience is difficult to accurately extract the tooth area and root canal filling area, resulting in low accuracy of tooth and root canal segmentation, which in turn affects the accuracy of tooth treatment quality evaluation. …”
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Evaluation of a Deep Learning Model for Automatic Detection of Schizophrenia Using EEG Signals by Swetha Padmavathi Polisetty, Radhamani Ellapparaj, Karthikeyan M P

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