DMRIntTk: Integrating different DMR sets based on density peak clustering. by Wenjin Zhang, Wenlong Jie, Wanxin Cui, Guihua Duan, You Zou, Xiaoqing Peng

“…However, due to the different strategies adopted, different DMR sets will be predicted on the same dataset, which poses a challenge in selecting a reliable and comprehensive DMR set for downstream analysis.…”
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Artificial Neural Network Modeling of Drying Kinetics and Color Changes of Ginkgo Biloba Seeds during Microwave Drying Process by Jun-Wen Bai, Hong-Wei Xiao, Hai-Le Ma, Cun-Shan Zhou

“…Artificial neural network (ANN) modeling was employed to predict the moisture ratio and color parameters (L⁎, a⁎, and b⁎). …”
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G-RCenterNet: Reinforced CenterNet for Robotic Arm Grasp Detection by Jimeng Bai, Guohua Cao

“…Finally, ResNet50 is selected as the backbone network, and a custom loss function is designed specifically for grasp detection tasks, which significantly enhances the model’s ability to predict feasible grasp boxes. The proposed G-RCenterNet algorithm is embedded into a robotic grasping system, where a structured light depth camera captures target images, and the grasp detection network predicts the optimal grasp box. …”
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A Survey on the Deep Learning-Based Mismatch Removal: Principles and Methods by Shiyu Chen, Cailong Deng, Yong Zhang, Yong Wang, Qixin Zhang, Zhimin Zhou

“…In the conclusion, we predict upcoming trends based on the findings of our review, aiming to provide valuable insights into mismatch removal techniques and guide their practical applications.…”
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An Application of Modified S-CLSVOF Method to Kelvin-Helmholtz Instability and Comparison with Theoretical Result by Naoki Shimada, Mako Sato, Yuta Yaegashi, Thorsten Koch, Thi Thai Le

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Integrative multi-omics and machine learning reveal critical functions of proliferating cells in prognosis and personalized treatment of lung adenocarcinoma by Shun Wang, Dingtao Hu, Ruohuang Wang, Jie Huang, Baoqing Wang

“…The SPRS model demonstrated superior performance in predicting prognosis and clinical outcomes compared to 30 previously published models. …”
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Enhancing Security of Databases through Anomaly Detection in Structured Workloads by Charanjeet Dadiyala, Faijan Qureshi, Kritika Anil Bhattad, Sourabh Thakur, Nida Tabassum Sharif Sheikh, Kushagra Anil Kumar Singh

“…Structured workloads typically exhibit predictable patterns of data access and usage, making them susceptible to displaying anomalies that may indicate unauthorized access, data manipulation, or other security breaches. …”
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Two‐stage video anomaly detection based on dual‐stream networks and multi‐instance learning by Dejun Zhang, Wenbo Fang, Yuhang Liu, Zirong Lyu, Chen Xiong, Zhan Wang

“…The authors treat abnormal videos as positive bags and normal videos as negative bags, and automatically learn a deep anomaly ranking model that can predict abnormal segments. Finally, the results of the training were tested and analyzed, demonstrating that the model is capable of detecting abnormal traffic segments.…”
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Gradient-based optimization for parameter identification of lithium-ion battery model for electric vehicles by Motab Turki Almousa, Mohamed R. Gomaa, Mostafa Ghasemi, Mohamed Louzazni

“…The findings were contrasted to those from various algorithms, such as whale optimization algorithm, multi-verse optimizer, sine cosine algorithm, arithmetic optimization algorithm, particle swarm optimization, red kite optimization algorithm, tree-seed algorithm, and white shark optimizer. …”
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From Pairwise Comparisons of Complex Behavior to an Overall Performance Rank: A Novel Alloy Design Strategy by Rafael Herschberg, Lisa Rateau, Laure Martinelli, Fanny Balbaud-Célérier, Jean Dhers, Anna Fraczkiewicz, Gérard Ramstein, Franck Tancret

“…The obtained ranking is later fitted with respect to the alloy’s composition by a Gaussian process. The predictive power of the method is demonstrated in the case of the resistance of metallic materials to molten salt corrosion and wear. …”
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Time-series InSAR measurement using ICOPS and estimation of along-track surface deformation using MAI during the 2021 eruption of Fagradalsfjall Volcano, Iceland by Wahyu Luqmanul Hakim, Muhammad Fulki Fadhillah, Seulki Lee, Sungjae Park, Won-Kyung Baek, Chang-Ki Hong, Hyun-Cheol Kim, Chang-Wook Lee

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Hardware-Efficient Phase Demodulation for Digital <i>ϕ</i>-OTDR Receivers with Baseband and Analytic Signal Processing by Shangming Du, Tianwei Chen, Can Guo, Yuxing Duan, Song Wu, Lei Liang

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Interference Coordination in Multiple Antenna Based LTE-Advanced Heterogeneous Systems by Yuan Li, Li Zhang, Hua Chen, Mugen Peng

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Fluid Dynamic and Thermal Performance of a V-Shape Slotted Cylinder by Abdulwahab Alhashem, Sultan Alshareef, Ali Y. Alharbi, Mosab A. Alrahmani

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Joint Optimization of Cache Placement and Bandwidth Allocation in Heterogeneous Networks by Weiqi Sun, Yong Li, Chunjing Hu, Mugen Peng

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The feasibility of endoscopic stapes surgery: A three‐dimensional planning method by Maaike Jellema, Mijs Buter, Esther E. Blijleven, Koen Willemsen, H. Chien Nguyen, Robert J. Stokroos, Inge Wegner, Henricus G. X. M. Thomeer

“…Finally, the outcomes of the pre‐operative planning and the actual procedure were directly compared to evaluate the algorithm's accuracy and usability. Results The preoperative planning method achieved an accuracy rate of 70% in predicting the need for scutum removal. …”
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Prototype of Mobile Meter Waveband Radar with Improved Functionality by I. S. Sadovskiy, Y. Y. Bobkov, I. Y. Malevich

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Automatic recognition and representation of text in the form of audio stream by L. V. Serebryanaya, I. E. Lasy

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IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning by U. A. Vishniakou, Xia YiWei

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Mixed Gas Detection and Temperature Compensation Based on Photoacoustic Spectroscopy by Sun Chao, Hu Runze, Liu Niansong, Ding Jianjun

“…Experimental results show that, compared to the traditional SVM algorithm, the KNN-SVM algorithm performs better in gas classification prediction, with an accuracy rate of 99.167&#x0025; and an AUC indicator of 99.375&#x0025;, enhancing the accuracy of gas detection. …”
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