Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…Although these factors limit the widespread application of FL in medical settings, this paper also proposes potential solutions, such as improving algorithm interpretability through interpretable tools, and utilizing transfer learning and domain adaptation methods to enhance model effectiveness across different datasets. …”
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Dominance-Partitioned Subgraph Matching on Large RDF Graph by Bo Ning, Yunhao Sun, Deji Zhao, Weikang Xing, Guanyu Li

“…Thirdly, the dominance-partitioned subgraph matching algorithm is designed to conduct all isomorphic subgraphs on a cluster-partitioned RDF graph. …”
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Fine-Grained Tasks for Crowdsourced Entity Resolution by Tiezheng Nie, Hanyu Mao, Xin Liu, Sining Yu

“…The experimental results on real datasets show that the FGTER algorithm proposed in this paper can achieve a higher F-1 score with cost control.…”
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Swin-transformer for weak feature matching by Yuan Guo, Wenpeng Li, Ping Zhai

“…We also introduce a matching optimization algorithm that calculates the spatial expected coordinates of local two-dimensional heat maps of correspondences to obtain the final sub-pixel level matches. …”
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Exosomal insights into ovarian cancer stem cells: revealing the molecular hubs by Kiana Sojoudi, Maryam Solaimani, Hossein Azizi

“…A four-fold algorithmic approach, including MCC, DMNC, Degree, and EPC, identified 12 common hub genes. …”
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A Parametric Design Method for Hybrid Airfoils for Icing Wind Tunnel Test by Zhao Li, Guang-jun Yang, Xiao-yan Tong, Feng Jiang

“…Aiming at generating the full-scale flow field and ice accretion on the leading edge, multiobjective genetic optimization algorithm is used to design the hybrid airfoil under different conditions by combining the airfoil parameterization and solution of spatial constraint. …”
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User Plane Function (UPF) Allocation for C-V2X Network Using Deep Reinforcement Learning by Pruk Sasithong, Tachporn Sanguanpuak, Pisit Vanichchanunt, Lunchakorn Wuttisittikulkij

“…Our study employed Deep Reinforcement Learning (DRL) techniques, specifically Deep Q-Network (DQN) and Actor-Critic (AC) algorithms. The DQN and AC algorithms were implemented to decide the optimal location of UPFs subject to vehicle positions and speed data of the vehicles. …”
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Day-Ahead Crude Oil Price Forecasting Using a Novel Morphological Component Analysis Based Model by Qing Zhu, Kaijian He, Yingchao Zou, Kin Keung Lai

“…The significant performance improvement of the proposed algorithm incorporating the heterogeneous data characteristics, against benchmark random walk, ARMA, and SVR models, is also attributed to the innovative methodology proposed to incorporate this important stylized fact during the modelling process. …”
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Noniterative Localized and Space-Time Localized RBF Meshless Method to Solve the Ill-Posed and Inverse Problem by Mohammed Hamaidi, Ahmed Naji, Fatima Ghafrani, Mostafa Jourhmane

“…Then, the problem is solved by using either a developed numerical algorithm or a conventional optimization scheme. The convergence of the technique is achieved when the approximated solution is well compared to the unused data. …”
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Advanced Photovoltaic Emulator with ANN-Based Modeling Using a DC-DC Push-Pull Converter and LQR Control with Current Observer by Aboubakeur HADJAISSA, Mohammed BENMILOUD, khaled AMEUR, HALIMA BOUCHENAK, Maria DIMEH

“…This study focuses on developing a PVE model using deep learning techniques, specifically a Multi-Layer Perceptron (MLP) Artificial Neural Network (ANN) with backpropagation as the learning algorithm. The ANN is integrated with a DC-DC push-pull converter controlled via a Linear Quadratic Regulator (LQR) strategy. …”
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An embedded intrusion detection and prevention system for home area networks in advanced metering infrastructure by Sahar Lazim Qaddoori, Qutaiba Ibrahim Ali

“…Also, it uses two machine learning models to detect the abnormality in periodic and daily data metering respectively. So, multiple algorithms have been used to find the suitable algorithm for each of the three anomaly detection models. …”
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Efficient authentication scheme for cross-trust domain of IoV based on double-layer shard blockchain by Xuejiao LIU, Qiang ZHONG, Yingjie XIA

“…To solve the problems of poor scalability, slow synchronization of authentication information, and high authentication overhead in cross-trust domain message authentication in the Internet of vehicles (IoV), an efficient authentication scheme for cross-trust domain of IoV based on a double-layer shard blockchain was proposed.A double-layer shard blockchain architecture was designed for lots of cross-trust domain message authentication by constructing blockchains on different entity levels in all domains to improve the scalability of the system and ensure secure and efficient sharing of cross-domain information.A blockchain sharding method based on the Metis graph partitioning algorithm for IoV was proposed to balance loads of each shard and adapt to the uneven distribution of authentication information on different road segments in IoV, thereby improving the efficiency of synchronizing a large number of authentication information on the chain.A batch authentication scheme based on certificateless public-key cryptography (CL-PKC) was proposed, which reduced the authentication overhead of cross-domain messages by enabling batch authentication of messages from different trust domains.Experimental results show that the proposed scheme effectively improves the authentication efficiency of cross-trust domain messages.Compared with other schemes, the proposed scheme reduces the computational overhead of a large number of cross-domain message authentication by more than 26.4%.…”
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Multiobjective Multistate System Preventive Maintenance Model with Human Reliability by Chao-Hui Huang, Chun-Ho Wang, Guan-Liang Chen

“…A customised version of the nondominated sorting genetic algorithm III is employed to ensure efficient solution of the PM model with human reliability—which is considered a constrained multiobjective combinatorial optimisation problem. …”
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Performance Evaluation of a Novel Sequence-Based Directional Detection Strategy for Protection of Active Distribution Networks by Kwasi Opoku, Aleksandar Dimitrovski, Maximiliano Ferrari

“…An SEL-411L relay is used to program the detection algorithm. This hardware-in-the-loop (HIL) setup is used to verify the performance of the method and the results are compared with existing directional methods…”
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Service Differentiated and Adaptive CSMA/CA over IEEE 802.15.4 for Cyber-Physical Systems by Feng Xia, Jie Li, Ruonan Hao, Xiangjie Kong, Ruixia Gao

“…To address this issue, this paper proposes a priority-based Service Differentiated and Adaptive CSMA/CA (SDA-CSMA/CA) algorithm to provide differentiated QoS for various Smart Grid applications as well as dynamically initialize backoff exponent according to traffic conditions. …”
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Machine Learning-Driven Adaptive Modulation for VLC-Enabled Medical Body Sensor Networks by Reza Bayat Rizi, Amir R. Forouzan, Farshad Miramirkhani, Mohamad F. Sabahi

“…The analysis focuses on various medical situations and investigates machine learning algorithms. The study compares adaptive modulation based on supervised learning with that based on reinforcement learning. …”
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A Car-Following Model Based on Safety Margin considering ADAS and Driving Experience by Yugang Wang, Nengchao Lyu

“…Other four parameters (SMDL, SMDH, α1, and α2) were calibrated using a classical genetic algorithm, and the effects of ADAS and driving experience in these four parameters were analyzed using T-test. …”
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GIS and remote sensing based analysis for monitoring urban growth dynamics in Western Himalayan city of Dharamshala, India by Nishant Mehra, Janaki Ballav Swain

“…The geographical and topographical complexities of the region necessitated the use of spectral vegetation indices, ancillary data, and the Strahler order algorithm to accurately represent LULC classes in the form of post-classification correction measures. …”
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Rolling Bearing Diagnosis Based on Adaptive Probabilistic PCA and the Enhanced Morphological Filter by Yuanqing Luo, Changzheng Chen, Siyu Zhao, Xiangxi Kong, Zhong Wang

“…To solve this problem, a parameter adaptive PPCA method based on grasshopper optimization algorithm (GOA) is proposed. Finally, combining the advantages of the above algorithms, a comprehensive rolling bearing fault diagnosis method named APPCA-EMDF is proposed in this paper. …”
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Effect of Flow Attack Angle for V-Wavy Plate on Flow and Heat Transfer in a Square Channel Heat Exchanger by Amnart Boonloi, Withada Jedsadaratanachai

“…The finite volume method with SIMPLE algorithm is selected to solve the present problem. …”
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