Using Kan Extensions to Motivate the Design of a Surprisingly Effective Unsupervised Linear SVM on the Occupancy Dataset by Matthew Pugh, Jo Grundy, Corina Cirstea, Nick Harris

“…Achieving an accuracy of 93.5% and an ROCAUC of 0.98, the performance of this algorithm is compared to state-of-the-art anomaly detection algorithms tested on the Occupancy dataset. …”
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Two-stage revision hip arthroplasty in the treatment of periprosthetic joint infection by I. A. Dmitrov, N. V. Zagorodniy, V. N. Obolenskiy, P. Sh. Leval', N. G. Zakharyan, V. S. Apresyan, S. V. Bezverkhiy, R. N. Aliev, D. A. Samkovich, A. A. Grigoryan

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

“…<h4>Conclusions</h4>Conclusively, DMRIntTk can help researchers obtain a reliable and comprehensive DMR set from many prediction methods.…”
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Modeling and Optimization of Vehicle Suspension Employing a Nonlinear Fluid Inerter by Yujie Shen, Long Chen, Yanling Liu, Xiaoliang Zhang

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Fuzzy Multiobjective Traffic Light Signal Optimization by N. Shahsavari Pour, H. Asadi, M. Pour Kheradmand

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Timing and Operating Mode Design for Time-Gated Fluorescence Lifetime Imaging Microscopy by Chao Liu, Xinwei Wang, Yan Zhou, Yuliang Liu

“…Steady-state fluorence imaging and time-resolved fluorescence imaging are two important areas in fluorescence imaging research. Fluorescence lifetime imaging is an absolute measurement method which is independent of excitation laser intensity, fluorophore concentration, and photobleaching compared to fluorescence intensity imaging techniques. …”
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Convolutional neural network-based low light image enhancement method by J. Guo

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Online Energy-Aware Scheduling for Deadline-Constrained Applications in Distributed Heterogeneous Systems by Yifan Liu, Chengelie Du, Jinchao Chen, Xiaoyan Du

“…Through experiments conducted with randomly generated applications, our approach consistently exhibits superior performance when compared to similar scheduling algorithms.…”
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Accurate and Fast Convergent Initial-Value Belief Propagation for Stereo Matching. by Xiaofeng Wang, Yiguang Liu

“…The belief propagation (BP) algorithm has some limitations, including ambiguous edges and textureless regions, and slow convergence speed. …”
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Enhancing Indoor Position Estimation Accuracy: Integration of Accelerometer, Raw Distance Data, and Extended Kalman Filter in Comparison to Vicon Motion Capture Data by Tolga Bodrumlu, Fikret Çalışkan

“…The designed algorithm using real sensor data collected in an ROS(Robot Operating System) environment was tested, and the results obtained were compared with data obtained from the Vicon Indoor Positioning System. …”
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A novel approach for snow depth retrieval in forested areas by integrating horizontal and vertical canopy structures information by Shanna Yue, Liyun Dai, Jie Deng, Yanxing Hu, Lin Xiao, Tao Che

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Stability Analysis and Construction Parameter Optimization of Tunnels in the Fractured Zone of Faults by Banma Huang, Haibo Chen, Chenglong Duan, Wenhu Li

“…The results show that the proposed optimization model of drilling and blasting construction parameters for highway tunnel faults based on the Support Vector Regression (SVR) algorithm combined with a genetic algorithm (GA) has a short calculation time and high parameter optimization accuracy. …”
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Relationship between the Significant Solutions of Static Traffic Assignment Problems for Mixed Traffic Flow of Connected and Automated Vehicles and Human-Driven Vehicles by Jaewoong Yun

“…This study interprets the Karush–Kun–Tucker condition of the static traffic assignment problem, considering the asymmetric interaction, and proposes a solution algorithm using discrete dynamics. The proposed algorithm extends the most widely used method in transportation planning research, which can overcome the limitations of asymmetric interaction problems through simple variations. …”
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Nonlinear modification to Hildebrand equation for accelerometry assessment of physical activity: improved accuracy for low activity levels by Laura A. Frey-Law, Shannon L. Merkle, Dana Dailey, Kathleen A. Sluka

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Enhancing HVAC Control Systems Using a Steady Soft Actor–Critic Deep Reinforcement Learning Approach by Hongtao Sun, Yushuang Hu, Jinlu Luo, Qiongyu Guo, Jianzhe Zhao

“…This paper reviews current research on DRL-based HVAC management and identifies key issues in existing algorithms. …”
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Location estimation of UWB-based wireless capsule endoscopy using TDoA in various gastrointestinal simulation models. by Sruthi Krishnan, Mohammed Abdel-Hafez, Matti Hämäläinen

“…While received signal strength, time of arrival, phase of arrival, and angle of arrival are the basic parameters applied in research for location estimation of WCE, this paper uses a time difference of arrival (TDoA) approach using the Chan algorithm. …”
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Some Aspects of Modern Distance Learning Technologies in the Field of Fire Safety by V. V. Volodchenkova, N. V. Peregudova, D. N. Kurkin, O. V. Chirko

“…The methodological basis of the research includes methods of theoretical research (analysis, synthesis, generalization, modeling), graphic and comparative method.Results. …”
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Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study by Johan Roussel, Zoubeir Lafhaj, Pascal Yim, Thomas Danel, Laure Ducoulombier

“…By integrating high-performing predictive models into equipment control systems, it is possible to reduce energy costs, improve thermal comfort, and ensure efficient process stability. This research underscores the importance of an algorithmic approach tailored to both the thermal characteristics of the building and the computational capabilities of industrial infrastructure, with feature importance analysis confirming that external temperature and heating system states are the primary predictive factors, thereby helping to optimize industrial operations.…”
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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

“…The next phase of this research employed the SHAP interpretability method to illustrate the impact of individual variables on the model's output. …”
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An explorative study on movement detection using wearable sensors in acute care hospital patients by Joris Kirchberger, Dominik Kunz, Guido Perrot, Sven Hirsch, Maren Leifke, Bianca Hölz, Lukas Geissmann, Miro Käch, Samuel Wehrli, Jens Eckstein

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