T‐SNERF: A novel high accuracy machine learning approach for Intrusion Detection Systems by Mohamed Hammad, Nabil Hewahi, Wael Elmedany

“…Herein, a novel approach called T‐Distributed Stochastic Neighbour Embedding and Random Forest Algorithm (T‐SNERF) is presented for the classification of cyber‐attacks. …”
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Hybrid feature learning framework for the classification of encrypted network traffic by S. Ramraj, G. Usha

“…The purpose of traffic classification is to allocate bandwidth to different types of data on a network. Application-level traffic classification is important for identifying the applications that are in high demand on the network. …”
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Estimation of Elasticity of Porous Rock Based on Mineral Composition and Microstructure by Zaobao Liu, Jianfu Shao, Weiya Xu, Chong Shi

“…In this study, 37 samples are collected to evaluate the estimations of the ECS obtained by different methods. …”
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Theoretical analysis of power control and energy efficiency in full-duplex massive MIMO systems by Kwame Salum Ibwe, Libe Valentine Massawe

“…Numerical results evaluate the system’s performance across different interference levels, antenna configurations, and distances, highlighting the role of adaptive SI mitigation. …”
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Long-wave infrared computational multispectral metasurface and spectral reconstruction method by Shang Wang, Lidan Lu, Lianqing Zhu

“…We also considered the angular dependence of the array on the incident light. Additionally, to evaluate the spectral reconstruction performance of the transmission spectra under different photonic crystals, a spectral reconstruction deep learning network was constructed with the mean squared error is 2.86 $$\times 10^{-3}$$ . …”
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Traffic Foreground Detection at Complex Urban Intersections Using a Novel Background Dictionary Learning Model by Qianxia Cao, Zhengwu Wang, Kejun Long

“…Then, the proposed method is compared with other commonly used traffic foreground detection models in different urban intersection traffic scenarios. The experimental results show that the proposed method performs well in keeping the background model being unpolluted from slow-moving or temporarily stopped vehicles and has a good performance in both qualitative and quantitative evaluations.…”
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Lithium-Ion Battery State-of-Health Estimation Method Using Isobaric Energy Analysis and PSO-LSTM by Shaishai Zhao, Laijin Luo, Shanhe Jiang, Chaolong Zhang

“…In this regard, the improved LSTM NN refers to the selection of the number of hidden layers and the learning rate of the LSTM NN using the particle swarm algorithm (PSO). To verify the precision of the proposed method, validation experiments are performed based on four battery aging data with different charging multipliers. …”
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Monitoring System for an Experimental Facility Using GMDH Methodology by Iraci Martinez Pereira, Davi Almeida Moraes

“…GMDH is a combinatorial multi-layer algorithm in which a network of layers and nodes is generated using a number of inputs from the data stream being evaluated. …”
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TCCM: Trajectory Converged Chaff-Based Mix-Zone Strategy for Enhancing Location Privacy in VANET by Yunheng Wu

“…We implemented a VANET simulation and two adversary attack algorithms to evaluate the performance of our scheme. …”
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Artificial Intelligence Precision Recognition and Auxiliary Diagnosis of Dental X-ray Panoramic Images Based on Deep Learning by Liu Riming, Gao Zhenshan

“…Objective: This study aims to explore the application of deep learning algorithms in dental X-ray panoramic images, particularly for the automatic segmentation of dental caries and identification of wisdom tooth types, in order to improve the accuracy and efficiency of dental diagnosis and assist doctors in formulating precise treatment plans. …”
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A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders by Jorge Magalhães, Tomás Jorge, Rúben Silva, António Guedes, Diogo Ribeiro, Andreia Meixedo, Araliya Mosleh, Cecília Vale, Pedro Montenegro, Alexandre Cury

“…This automatic damage identification algorithm is based on the vertical acceleration evaluated on the rails using a virtual wayside monitoring system and involves the application of a two-step procedure. …”
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Fault Diagnosis Based On Improved Information Entropy And 1dcnn For Marine Turbocharger Rotor With Variable Speed by Hu Lei, Hu Haoran, Hu Nao, Liu Luyuan, Dong Fei, Yang Jianguo, Zhong Jiahong

“…Faults in the turbocharger rotor at the different speeds are classified using a one-dimensional convolutional neural network (1DCNN), and the arithmetic ability of the diagnostic algorithm is evaluated. …”
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Improving patient clustering by incorporating structured variable label relationships in similarity measures by Judith Lambert, Anne-Louise Leutenegger, Anaïs Baudot, Anne-Sophie Jannot

“…We construct patient networks from each similarity measure and identify clusters of patients using the Markov Cluster algorithm. We evaluate the performance of the different similarity measures with enrichment tests based on patient diagnoses. …”
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Selection and Prioritization of Test Cases by using Bees Colony by Shahbaa Khaleel, Ragad khaled

“…And that was performed through using Artificial Bees Colony ABC Algorithm in selection of test cases for the software written by C++ language in an automatic way since to enable the corporation which develops the software to save time, effort  and costs that required for testing phase and regression testing activity, which is always evaluated by 50% of the product cost. …”
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H-NMR metabolomics identifies three distinct metabolic profiles differentially associated with cardiometabolic risk in patients with obesity in the Di@bet.es cohort by Enrique Ozcariz, Montse Guardiola, Núria Amigó, Sergio Valdés, Wasima Oualla-Bachiri, Pere Rehues, Gemma Rojo-Martinez, Josep Ribalta

“…Then, the association of these clusters with future development of cardiometabolic disease was evaluated using different univariate and multivariate statistical approaches. …”
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Resource Optimization Method Based on Spatio-Temporal Modeling in a Complex Cluster Environment for Electric Vehicle Charging Scenarios by Hongwei Wang, Wei Liu, Chenghui Wang, Kao Guo, Zihao Wang

“…The trust model assists agents in choosing partners, and the Q-learning algorithm of the intelligent cluster realizes the independent evaluation of rewards and the optimization of relationship adaptation. …”
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Autophagy crosstalk with the immune microenvironment in chronic myeloid leukemia and serves as a biomarker for diagnosis and progression by Fangmin Zhong, Fangyi Yao, Jing Liu, Qun Fang, Xiajing Yu, Bo Huang, Xiaozhong Wang

“…The value of autophagy-related genes (ARGs) in diagnosis and treatment evaluation was analyzed and verified by a variety of machine learning algorithms.ResultsCompared with normal samples, CML samples had significantly lower autophagy scores and more downregulated ARGs. …”
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EXPERIMENTAL SETUP FOR MODELING AND STUDY OF COMPLEX STRESS STATE IN FERROMAGNETIC MATERIALS by V. N. Busko, G. G. Vlasov

“…The article presents the functioning of the algorithm and device operating principle. The article also shows the diagram for modeling a СSS in a steel sample. …”
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Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome o... by Jakob Blaß, Benjamin Iffland, Philipp Herzog, Tim Kaiser, Thomas Elbert, Carolin Steuwe

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Bone reporting and data system on CT (Bone-RADS-CT): a validation study by four readers on 328 cases from three local and two public databases by Yue Xing, Defang Ding, Shun Dai, Yangfan Hu, Xianwei Liu, Liangjing Lyu, Guangcheng Zhang, Shiqi Mao, Qian Yin, Junjie Lu, Jiarui Yang, Yang Song, Huan Zhang, Chengzhou Li, Weiwu Yao, Jingyu Zhong

“…Conclusion Bone-RADS-CT is effective for identifying bone lesions that need further treatment, but is only moderately reliable for readers of different specialties and experience. Critical relevance statement Bone-RADS-CT has been demonstrated to be a reliable algorithm for non-musculoskeletal radiologists and an effective tool for identifying the “need for treatment” incidental solitary bone lesions in adults, but still needs improvement in the rating method and category definition. …”
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