Study on a New Method of Link-Based Link Prediction in the Context of Big Data by Chen Jicheng, Chen Hongchang, Li Hanchao

“…It uses this concept to recommend friends by checking their links using various algorithms. The same goes for shopping and e-commerce sites. …”
Get full text

A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity by Abdullah Al Siam, Moutaz Alazab, Albara Awajan, Nuruzzaman Faruqui

“…We examine cutting-edge AI methodologies and principal models across many domains, including machine learning algorithms, deep learning architectures, natural language processing techniques, and anomaly detection algorithms, emphasizing their distinct contributions to enhancing security. …”
Get full text

Machine Learning in Money Laundering Detection Over Blockchain Technology by Algimantas Venckauskas, Sarunas Grigaliunas, Linas Pocius, Rasa Bruzgiene, Andrejs Romanovs

“…The approach combines machine learning algorithms with a pre-training process, normalization, model training, and a de-anonymization process to analyze and identify illicit transactions effectively. …”
Get full text

Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC by Xiaoqin Luo, Chao Li, Gang Qin

“…Using 10 multi-omics consensus clustering algorithms via the MOVICS package, we identified two molecular subtypes (CS1 and CS2) and validated their stability. …”
Get full text

Surface electromyography evaluation for decoding hand motor intent in children with congenital upper limb deficiency by Marcus A. Battraw, Justin Fitzgerald, Eden J. Winslow, Michelle A. James, Anita M. Bagley, Wilsaan M. Joiner, Jonathon S. Schofield

“…Tuning sEMG classification algorithms for this population is crucial for facilitating the successful translation of dexterous prostheses. …”
Get full text

Leveraging Multilingual Transformer for Multiclass Sentiment Analysis in Code-Mixed Data of Low-Resource Languages by Muhammad Kashif Nazir, Cm Nadeem Faisal, Muhammad Asif Habib, Haseeb Ahmad

“…The evaluation results showed a significant improvement in accuracy (+22.55%), precision (+21.06%), recall (+22.55%), and F-measure (+25.50%) compared to benchmark algorithms. Additionally, the proposed model outperformed other transformer-based models, as well as deep learning and machine learning algorithms in sentiment extraction from code-mixed data. …”
Get full text

Robust Prediction of Healthcare Inflation Rate With Statistical and AI Methods in Iran by Mohammad Javad Shaibani, Ali Akbar Fazaeli

“…Using monthly time series data of HCIR in Iran, we developed various forecasting techniques based on classical smoothing methods, decomposition ETS (error, trend, and seasonality) approaches, autoregressive (AR) integrated moving average (ARIMA), seasonal ARIMA (SARIMA), and a multilayer nonlinear AR artificial neural network (NARANN) with several training algorithms including Bayesian regularization (BR), Levenberg–Marquardt (LM), scaled conjugate gradient (SCG), Broyden–Fletcher–Goldfarb–Shanno (BFGS) quasi-Newton, conjugate gradient with Powell–Beale restarts (CGB), conjugate gradient with Fletcher–Reeves updates (CGF), and resilient propagation (RPROP) algorithms. …”
Get full text

Retrieval of nicotine content in cigar leaves by remote analysis of aerial hyperspectral combining machine learning methods by Chenyu Tian, Yifei Lu, Hengduo Xie, Yufan Yu, Liming Lu

“…Three machine learning algorithms were then used to analyze the data: PLS, BP, RF, and the SVM. …”
Get full text

Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach by Veljko Uskoković, Milica Maričić, Aleksandra Dacić-Pilčević, Veljko Jeremić

“…Furthermore, AI optimizes resource allocation and improves matching algorithms on online labour platforms, thereby boosting platform efficiency. …”
Get full text

A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet by Muhammad Waqas Ahmed, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz Alhammadi, Asaad Algarni, Ahmad Jalal, Jeongho Cho

“…The use of optimization algorithms further enhances the discriminative power of the features, leading to improved classification accuracy.…”
Get full text

Ion suppression correction and normalization for non-targeted metabolomics by Iqbal Mahmud, Bo Wei, Lucas Veillon, Lin Tan, Sara Martinez, Bao Tran, Alexander Raskind, Felice de Jong, Yiwei Liu, Jibin Ding, Yun Xiong, Wai-kin Chan, Rehan Akbani, John N. Weinstein, Chris Beecher, Philip L. Lorenzi

“…Here we report a method, the IROA TruQuant Workflow, that uses a stable isotope-labeled internal standard (IROA-IS) library plus companion algorithms to: 1) measure and correct for ion suppression, and 2) perform Dual MSTUS normalization of MS metabolomic data. …”
Get full text

Predicting conversion to psychosis using machine learning: response to Cannon by Jason Smucny, Tyrone D. Cannon, Tyrone D. Cannon, Carrie E. Bearden, Carrie E. Bearden, Jean Addington, Kristen S. Cadenhead, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Diana O. Perkins, William Stone, Elaine F. Walker, Scott W. Woods, Scott W. Woods, Ian Davidson, Cameron S. Carter

“…In this report we tested for model generalization using the previous iteration of NAPLS-3, the NAPLS-2, using the identical machine learning algorithms employed in our previous study.MethodStandard machine learning algorithms were trained to predict conversion to psychosis in clinical high risk individuals on the NAPLS-3 dataset and tested on the NAPLS-2 dataset.ResultsNAPLS-2 and -3 individuals significantly differed on most features used in machine learning models. …”
Get full text

Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection by Jiayi Zheng, Jiayi Zheng, Yaping Wan, Xin Yang, Hua Zhong, Minghua Du, Gang Wang, Gang Wang

“…Experimental results in terms of drone detection performance indicate that the incorporation of MG-SNN significantly improves the accuracy of low-altitude drone detection tasks compared to popular small object detection algorithms, acting as a cheap plug-and-play module in detecting small flying targets against complex backgrounds.…”
Get full text

HPGCN: A graph convolutional network-based prediction model for herbal heat/cold properties by Qikai Niu, Jing’ai Wang, Hongtao Li, Lin Tong, Haiyu Xu, Weina Zhang, Ziling Zeng, Sihong Liu, Wenjing Zong, Siqi Zhang, Siwei Tian, Huamin Zhang, Bing Li

“…Compared to previous machine learning algorithms, the HPGCN obtained optimal classification prediction results for ACC, Recall, Precision, F1, and AUC indicators by 5-fold cross-validation on the training and test sets. …”
Get full text

Automated Control System of 35 KV and Higher Power Networks by M. I. Fursanov, A. A. Zalatoi, A. N. Mukha, V. I. Privalov, I. V. Krupa

“…The description of algorithms for solution of some technological problems realized in the library of applied programs that presents a calculative nucleus of the given developed system. …”
Get full text

An Occlusion Approach with Consistency Constraint for Multiscopic Depth Extraction by Cédric Niquin, Stéphanie Prévost, Yannick Remion

“…This is a new approach to handle occlusions in stereovision algorithms in the multiview context using images destined for autostereoscopic displays. …”
Get full text

Comparison of Predictive Control Methods for High Consumption Industrial Furnace by Goran Stojanovski, Mile Stankovski

“…In order to demonstrate the benefits from implementation of the advanced predictive control algorithms, we have compared several major criteria for furnace control. …”
Get full text

New Investigation for the Liu-Story Scaled Conjugate Gradient Method for Nonlinear Optimization by Eman T. Hamed, Rana Z. Al-Kawaz, Abbas Y. Al-Bayati

“…Our numerical experiments show that the new proposed algorithms are more stable and economic as compared to some well-known standard CG methods.…”
Get full text

The Generalized Bisymmetric (Bi-Skew-Symmetric) Solutions of a Class of Matrix Equations and Its Least Squares Problem by Yifen Ke, Changfeng Ma

“…If the solvability conditions are not satisfied, the generalized bisymmetric and bi-skew-symmetric least squares solutions of the matrix equations are considered. In addition, two algorithms are provided to compute the generalized bisymmetric and bi-skew-symmetric least squares solutions. …”
Get full text

Robustness measurement for scalable switch fabric by Guang-hui YANG, Jian-ping WU, You-jian ZHAO, Shu-tao SUN

“…Traditional robustness measurements are not suitable for large-scale scalable switch fabrics.Therefore,a novel robustness measure named failure influence was introduced,and improved algorithms for its metrics were also proposed.Experimental results showed that failure influence measurement can represented subtle robustness differences among various scalable switch fabrics.Failure Influence measurement was proved to be an appropriate robustness measurement for large-scale scalable switch fabrics.…”
Get full text