Data Fusion for Electromagnetic and Electrical Resistive Tomography Based on Maximum Likelihood by Sven Nordebo, Mats Gustafsson, Therese Sjöden, Francesco Soldovieri

“…In this paper, a proper scalar product is defined for the measurements and a truncated Singular Value Decomposition (SVD) based algorithm is devised which combines the measurement data of the two imaging modalities in a way that is optimal in the sense of maximum likelihood. …”
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Quality-of-Service Routing Using Path and Power Aware Techniques in Mobile Ad Hoc Networks by R. Asokan, A. M. Natarajan, C. Venkatesh

“…The main objective of this paper is to enhance the QoS routing for MANET using temporally ordered routing algorithm (TORA) with self-healing and optimized routing techniques (SHORT). …”
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Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination Angle by Mei Xiao, Ying Zhang, Haiming Wang, Lei Zhang

“…The influence of the algorithm parameters on detection precision is also analyzed.…”
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Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics by Carlos González-Gutiérrez, María Luisa Sánchez-Rodríguez, José Luis Calvo-Rolle, Francisco Javier de Cos Juez

“…The Complex Atmospheric Reconstructor based on Machine Learning (CARMEN) is an algorithm based on artificial neural networks, designed to compensate the atmospheric turbulence. …”
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Exact Free Vibration Analysis for Plate Built-Up Structures under Comprehensive Combinations of Boundary Conditions by Xiang Liu, Chen Xie, Han-cheng Dan

“…The Wittrick–Williams algorithm of the DSM is applied with the explicit expressions of the J0 count for plate elements under all above support conditions. …”
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Numerical Simulation of Fine Particle Solid-Liquid Two-Phase Flow in a Centrifugal Pump by Yanping Wang, Bozhou Chen, Ye Zhou, Jianfeng Ma, Xinglin Zhang, Zuchao Zhu, Xiaojun Li

“…To study the effect of fine particle size and volume concentration on the performance of solid-liquid two-phase centrifugal pump, the mixture multiphase flow model, RNG k-ε turbulence model, and SIMPLEC algorithm were used to simulate the two-phase flow of the centrifugal pump. …”
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Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communication by Tong Wei, Linlong Wu, Bhavani Shankar Mysore Rama Rao

“…Towards this end, the epigraph‐form reformulation is first adopted, and then an alternating maximisation (AM) method is devised, in which the Dinkelbach’s algorithm is used to tackle the nonconvex fractional‐programing subproblem. …”
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Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers by Arpit Pandey, Sridharan Naveen Venkatesh, Prabhakaranpillai Sreelatha Anoop, B. R. Manju, Vaithiyanathan Sugumaran

“…Empirically, the research achieved 97.92% accuracy using the local weighted learning (LWL) algorithm, demonstrating the effectiveness of combined statistical, histogram, and ARMA features in enhancing TPMS predictive capabilities.…”
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Intelligent CO2 Monitoring for Diagnosis of Sleep Apnea Using Neural Cryptography Techniques by Manar Ahmed Hamza, Maha M. Althobaiti, Ola Abdelgney Omer Ali, Souad Larabi-Marie-Sainte, Majdy M. Eltahir, Anwer Mustafa Hilal, Mesfer Al Duhayyim, Ishfaq Yaseen

“…The accuracy of the GEP-KNN algorithm with different K values produced the highest accuracy at K=9 and k=10 of 95.12% and 95.67%; the lowest accuracy is K=1 of 65.34%.…”
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A comprehensive review of remote sensing techniques for monitoring Ulva prolifera green tides by Xiaomeng Geng, Xiaomeng Geng, Xiaomeng Geng, Huiru Li, Huiru Li, Le Wang, Weidong Sun, Yize Li

“…Additionally, it identifies the limitations and unresolved challenges in current approaches, such as constraints on data resolution, algorithmic biases, and environmental variability. The potential for integrating multi-source remote sensing data with marine environmental parameters and deep learning techniques is discussed, emphasizing their roles in improving the accuracy and reliability of monitoring and predicting Ulva prolifera green tides. …”
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Research on upper limb rehabilitation assessment model based on belief rule base by Dawei Jiang, Zixu Zhao, Lijun Wang, Chao Zhang, Meixuan He, Tiejun Ji

“…We then optimized the BRB model’s evaluation accuracy using the Fmincon algorithm and compared its result with commonly used methods such as the Back Propagation (BP) neural network and Support Vector Machine (SVM). …”
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Crack detection based on attention mechanism with YOLOv5 by Min‐Li Lan, Dan Yang, Shuang‐Xi Zhou, Yang Ding

“…Aiming at the problems of poor real‐time performance and low precision of traditional pavement crack detection, a crack detection method based on improved YOLOv5 one‐step target detection algorithm of convolutional neural network is proposed by using the advantages of depth learning network in target detection. …”
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Research on Optimization of Aircraft Climb Trajectory considering Environmental Impact by Fangzi Liu, Minghua Hu, Wenying Lv, Honghai Zhang

“…Finally, the multiobjective model is solved by genetic algorithm. The B737-800 civil aviation aircraft is selected for simulation experiment to analyze the impact of speed change on the optimization target. …”
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Distance and Density Similarity Based Enhanced k-NN Classifier for Improving Fault Diagnosis Performance of Bearings by Sharif Uddin, Md. Rashedul Islam, Sheraz Ali Khan, Jaeyoung Kim, Jong-Myon Kim, Seok-Man Sohn, Byeong-Keun Choi

“…An enhanced k-nearest neighbor (k-NN) classification algorithm is presented, which uses a density based similarity measure in addition to a distance based similarity measure to improve the diagnostic performance in bearing fault diagnosis. …”
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Application of the New Classification on Patients with a Disorder of Sex Development in Indonesia by A. Zulfa Juniarto, Yvonne G. van der Zwan, Ardy Santosa, Remko Hersmus, Frank H. de Jong, Renske Olmer, Hennie T. Bruggenwirth, Axel P. N. Themmen, Katja P. Wolffenbuttel, Leendert H. J. Looijenga, Sultana M. H. Faradz, Stenvert L. S. Drop

“…This study intended to categorize 88 Indonesian patients in accordance with the new consensus DSD algorithm. Diagnostic evaluation including clinical, hormonal, genetic, imaging, surgical, and histological parameters was performed. …”
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Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming by Abdul Wahid, Syed Zain Ul Abideen, Nouman Imtiaz, Mian Muhammad Kamal, Abdullah Alharbi, Amr Tolba, M. A. Al-Khasawneh, Inam Ullah

“…To tackle this, we employ a Deep Reinforcement Learning (DRL) approach using the Deep Deterministic Policy Gradient (DDPG) algorithm, enabling efficient and dynamic optimization. …”
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An Overview of Human Pose Estimation Based on Wireless Signals by Yan CHEN, Rui ZHANG, Yadong LI, Ruiyuan SONG, Ruixu GENG, Hanqin GONG, Binquan WANG, Dongheng ZHANG, Yang HU

“…These methods differ in their hardware systems, signal characteristics, noise processing, and deep learning algorithm design based on the signal frequency used. …”
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Interpretable machine learning model of effective mass in perovskite oxides with cross-scale features by Changjiao Li, Zhengtao Huang, Hua Hao, Zhonghui Shen, Guanghui Zhao, Ben Xu, Hanxing Liu

“…However, previous works were mainly devoted to algorithm improvement, while the essential multi-scale characteristics are not well addressed. …”
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Power decoupling method for synchronous reference frame-based vector control by Zhen Gong, Xiaorong Xie, Chengxi Liu, Filipe Faria da Silva, Yonghao Gui

“…Next, a power decoupling strategy for SRF-VC is proposed based on a dynamic feedforward power compensation (DFPC) algorithm, and its power decoupling capability is analyzed based on the transfer function. …”
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Federated Learning Based on OPTICS Clustering Optimization by Chenyang Lu, Su Deng, Yahui Wu, Haohao Zhou, Wubin Ma

“…Experiments indicate that OCFL greatly improves the model accuracy and training speed compared with the traditional FL algorithm.…”
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