Fast panoramic image stitching algorithm based on parameter regression by Fan GUO, Xiaohu LI, Wentao LIU, Jin TANG

“…In reality, the field of view of images acquired by cameras was usually limited, and the demand for panoramic images was increasing.Therefore, a fast panoramic image stitching algorithm based on parameter regression was proposed for panoramic image sequences.The traditional image registration task was transformed into deep learning combined with machine learning, a multi-scale deep convolutional neural network (MDCNN) based on Gaussian difference pyramid was designed to extract features of stitching images, and LightGBM regression model was used to predict stitching parameters.The transformation matrix and the focal length of the camera were obtained to align the images, and a hyperbolic image fusion algorithm was designed to eliminate the stitching seam between the images.The experimental results show that the proposed algorithm can quickly mosaic images and obtain clearer and more natural panoramic mosaic effects than the existing representative algorithms.It also has good adaptability for infrared images.…”
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Influence maximization algorithm of social networks based on Transformer model by YU Shuke, YAO Yao, YAN Chenxue

“…The network topology structure based influence maximization algorithms are greatly influenced by the network structure, which leads to unstable performance of social networks of different scales and different topology structures. …”
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Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem by Phattharaporn Singkanipa, Victor Kasatkin, Zeyuan Zhou, Gregory Quiroz, Daniel A. Lidar

“…For sufficiently small values of w and for circuits involving up to 58 qubits, we demonstrate an exponential speedup, albeit of a lower quality than the speedup predicted for the noiseless algorithm. The speedup exponent and the range of w values for which an exponential speedup exists are significantly enhanced when the computation is protected by dynamical decoupling. …”
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Resource Allocation Algorithm Based on Profit Maximization for Crowd Sensing by Kun Gao, Bin Wang, Xinwu Yu

“…The experimental results show that the new algorithm is feasible and superior to the traditional algorithms.…”
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Construction and Analysis of Macroeconomic Forecasting Model Based on Biclustering Algorithm by Chao Pang

“…The result of the biclustering algorithm has its unique advantages in mining the commonalities of various provinces under certain attribute sets.…”
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Analysis of Brand Visual Design Based on Collaborative Filtering Algorithm by Gao Chaomeng, Wang Yonggang

“…Finally, the collaborative filtering algorithm is optimized to improve the consumer similarity based on the original algorithm. …”
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Algorithm of Estimating Import-Substitution Based on Costs – Output Tables by N. A. Moiseev, B. A. Akhmadeev

“…The designed algorithm can be used as a support system for decision-making in importsubstitution policy.…”
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A Partition-Based Hybrid Algorithm for Effective Imbalanced Classification by Kittipong Theephoowiang, Anantaporn Hanskunatai

“…The algorithm identifies different data types, pairs them, and trains multiple models, which then vote on predictions using weighted strategies to ensure stable performance and minimize overfitting. …”
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Trajectory Estimation Filtering Algorithm for Underwater Equipment Based on UKF by CHEN Ziyue, JI Fuwu, ZHOU Wei

“…Firstly, the implementation process of the classic unscented Kalman filter is explained, and the idea of Sage-Husa adaptive adjustment of noise is introduced; then, on this basis, the prediction residual vector is introduced to reduce the influence of gross error on the filtering result, and a tracking factor is introduced to improve the adaptability of the filter to sudden motion; finally, the effectiveness of the algorithm is verified by simulation experiments and towing experiments. …”
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Extended Blahut–Arimoto Algorithm for Semantic Rate-Distortion Function by Yuxin Han, Yang Liu, Yaping Sun, Kai Niu, Nan Ma, Shuguang Cui, Ping Zhang

“…Furthermore, by considering the semantic knowledge base (SKB) as a specific instance of synonymous mapping, the EBA algorithm provides a theoretical approach for analyzing and predicting the SKB size. …”
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Variational Autoencoders-Based Algorithm for Multi-Criteria Recommendation Systems by Salam Fraihat, Qusai Shambour, Mohammed Azmi Al-Betar, Sharif Naser Makhadmeh

“…The VAE-MCRS model utilizes the latent features generated by the VAE in conjunction with user–item interactions to enhance recommendation accuracy and predict ratings for unrated items. Experiments carried out using the Yahoo! …”
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Self-Supervised Social Recommendation Algorithm Fusing Residual Networks by WANG Yujie, YANG Zhe

“…Firstly, the algorithm employs a variational hypergraph auto-encoder for link prediction in social networks to obtain a reconstructed social graph, which is used to mine the positive link relationships hidden among users. …”
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Explainable AI based LightGBM prediction model to predict default borrower in social lending platform by Li-Hua Li, Alok Kumar Sharma, Sheng-Tzong Cheng

“…This paper proposes an explainable AI (XAI)-based prediction model utilizing the LightGBM algorithm to predict the likelihood of borrower default on a social lending platform. …”
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Reversible Data Hiding in Encrypted Images Based on Edge-Directed Prediction and Multi-MSB Self-Prediction by Yingqiang Qiu

“…A binary location map marks the prediction errors for each bit-plane. After being losslessly compressed using the Joint Bi-level Image Experts Group (JBIG) algorithm, the location maps are embedded into the encrypted image as auxiliary data, thereby creating ample room for embedding additional data. …”
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Exploring unsupervised feature extraction algorithms: tackling high dimensionality in small datasets by Hongqi Niu, Gabrielle B. McCallum, Anne B. Chang, Khalid Khan, Sami Azam

“…These datasets often contain high-dimensional features, yet present significant challenges of dimensionality, wherein the sparsity of data in high-dimensional spaces makes it difficult to extract meaningful information and less accurate predictive models are produced. In this regard, feature extraction algorithms are important in addressing these challenges by reducing dimensionality while retaining essential information. …”
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AI-based algorithms for estimating hydrochar properties in terms of biomass ultimate analysis by Raouf Hassan, Ali sharifzadegan, Alireza Baghban

“…The CatBoost model outperformed other algorithms for HHV prediction, yielding an R² of 0.9788, an MSE of 1.63, and an MRD of 3.71 %. …”
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An Online Tool for Correcting Performance Measures of Electronic Phenotyping Algorithms for Verification Bias by Ajay Bhasin, Sue Bielinski, Abel N. Kho, Nicholas Larson, Laura J. Rasmussen-Torvik

“… Objectives Computable or electronic phenotypes of patient conditions are becoming more commonplace in quality improvement and clinical research. During phenotyping algorithm validation, standard classification performance measures (i.e., sensitivity, specificity, positive predictive value, negative predictive value, and accuracy) are often employed. …”
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Assessment of Information predictability of stochastic processes by A. V. Ausiannikau

“…The necessary theoretical information for parameter estimation algorithms informational predictability of stochastic processes. …”
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Predicting dementia in people with Parkinson’s disease by Mohamed Aborageh, Tom Hähnel, Patricia Martins Conde, Jochen Klucken, Holger Fröhlich

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A “Salt and Pepper” Noise Reduction Scheme for Digital Images Based on Support Vector Machines Classification and Regression by Hilario Gómez-Moreno, Pedro Gil-Jiménez, Sergio Lafuente-Arroyo, Roberto López-Sastre, Saturnino Maldonado-Bascón

“…A modified median filter based on a previous noise detection stage and a regression-based filter are presented and compared to other well-known state-of-the-art noise reduction algorithms. The results show that the filters proposed achieved good results, outperforming other state-of-the-art algorithms for low and medium noise ratios, and were comparable for very highly corrupted images.…”
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