Improving Local Fidelity and Interpretability of LIME by Replacing Only the Sampling Process With CVAE by Daisuke Yasui, Hiroshi Sato

“…The Local Interpretable Model agnostic Explanation (LIME) algorithm is an Explainable AI (XAI) method that can be applied to many black -box models. …”
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Transient Protection of UHV Busbars Based on Standardized VMD-Shannon Entropy by Zhenwei Guo, Yongyan Jiang, Zebo Huang, Yangsheng Liu

“…Additionally, standardized fault characteristics representation ensures robustness across diverse conditions, which differentiate 36.1% of cross-partial fault characterization data, while also resolving 33.5% of false activations and 11.1% of rejected activations. …”
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Investigation of Criteria for Comparing of Natural and LED Radiation Spectral Distribution by P. S. Bogdan, E. G. Zaytseva, A. I. Stepanenko

“…At the same time, a certain correction of the spectral composition of visible radiation in medical institutions and workplaces has a positive effect on human health, while can be carried lighting control out taking into account the data of personal sensor devices that determine the human condition. …”
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Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector by Ruixing Ming, Osama Mohamad, Nisreen Innab, Mohamed Hanafy

“…Our comprehensive analysis reveals that while not every re-sampling technique improves model performance, all feature selection methods markedly bolster predictive accuracy. …”
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DFL-TORO: A One-Shot Demonstration Framework for Learning Time-Optimal Robotic Manufacturing Tasks by Alireza Barekatain, Hamed Habibi, Holger Voos

“…Furthermore, we propose an optimization-based smoothing algorithm that ensures time-optimal and jerk-regulated demonstration trajectories, while also adhering to the robot’s kinematic constraints. …”
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Multi-Skilled Project Scheduling for High-End Equipment Development Considering Newcomer Cultivation and Duration Uncertainty by Yaohui Liu, Ronggui Ding, Shanshan Liu, Lei Wang

“…The model aims to minimize expected makespan and maximize newcomers’ skill efficiency by optimizing workforce assignment that enables experienced workers to mentor newcomers while simultaneously optimizing task scheduling. …”
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A Beyond 5G OTFS Waveform Radio for Smart Hospital: PAPR Reduction in OTFS Using the Cuckoo Search–Based PTS Method by Arun Kumar, Aziz Nanthaamornphong

“…In this study, we propose a Cuckoo search (CS) partial transmission sequence (PTS) genetic algorithm known as PTS + CS to reduce the PAPR of the OTFS waveform under the Rician and Rayleigh channels with 256 subcarriers. …”
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Racial disparities and temporal trends in dementia misdiagnosis risk in the United States by Kan Z. Gianattasio, Christina Prather, M. Maria Glymour, Adam Ciarleglio, Melinda C. Power

“…We classified dementia status using an algorithm with similar sensitivity and specificity across racial/ethnic groups and assigned clinical dementia diagnosis status using ICD‐9‐CM codes from Medicare claims. …”
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Adaptive Filtering for Channel Estimation in RIS-Assisted mmWave Systems by Shuying Shao, Tiejun Lv, Pingmu Huang

“…The Log-Sum NLMS algorithm incorporates a log-sum penalty in its cost function for faster convergence, while the Hybrid NLMS-NLMF employs a mixed error function for better performance across varying signal-to-noise ratio (SNR) conditions. …”
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An on‐chain trading model of real world asset backed digital assets by Dongsheng Hou, Wenjing Ma, Wei Zhang, Yixuan Li, Yu Du, Yukun Hao

“…Abstract Metaverse is a digital value interaction network based on blockchain technology, with an important economic system component. While both traditional financial industries and crypto‐native industries have made significant progress by leveraging blockchain, the value stream of each remains limited to separate ecosystems. …”
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Optimisation of Electric Vehicle Charging Stations Planning Based on Macro and Micro Perspectives by Qiuxuan WANG, Kunxiang DENG, Jiangnan YAN, Jun LI

“…CMSLM is solved using sparrow search algorithm from both macro and micro perspectives. The proposed approach is applied to Guangzhou, China, as a case study. …”
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Optimizing Key Parameters of Ground Delay Program with Uncertain Airport Capacity by Jixin Liu, Kaijian Li, Minjia Yin, Xuehua Zhu, Ke Han

“…The proposed GDP strategy has the potential to effectively reduce the overall delay while maintaining the ATC safety risk within an acceptable level.…”
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Bayesian Computation Methods for Inference in Stochastic Kinetic Models by Eugenia Koblents, Inés P. Mariño, Joaquín Míguez

“…Specifically, the particle MCMC (pMCMC) method has been shown to be effective, while computationally demanding method applicable to this problem. …”
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Game-based resource allocation in heterogeneous downlink CR-NOMA network without subchannel sharing by Deepa Das, Rajendra Kumar Khadanga, Deepak Kumar Rout, Md. Minarul Islam, Taha Selim Ustun

“…To achieve this, we set out to solve a complex problem involving maximizing throughput while staying within transmission power limits, meeting minimum data rate requirements, and controlling interference power. …”
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Seismic Optimization of Fluid Viscous Dampers in Cable-Stayed Bridges: A Case Study Using Surrogate Models and NSGA-II by Qunfeng Liu, Zhen Liu, Jun Zhao, Yuhang Lei, Shimin Zhu, Xing Wu

“…Results demonstrate that the ANN-based approach effectively addresses multi-objective optimization challenges while providing a robust framework for improved seismic performance in cable-stayed bridges. …”
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A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement by Imam Yuadi, Novanto Yudistira, Habiddin Habiddin, Khoirun Nisa'

“…This study evaluates how each filter enhances visual clarity while maintaining structural integrity using evaluation metrics such as the Structural Similarity Index Measure (SSIM) and Normalized Cross-Correlation (NCC). …”
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Deep learning method for cucumber disease detection in complex environments for new agricultural productivity by Jun Liu, Xuewei Wang, Qian Chen, Peng Yan, Xin Liu

“…Experiments on our cucumber disease dataset demonstrate that YOLO-Cucumber achieves a 6.5% improvement in mAP@50 (93.8%), while reducing model size by 3.87 MB and increasing inference speed to 218 FPS. …”
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Discrete‐time full‐order sensorless control of high‐speed interior permanent magnet synchronous motor in electric vehicle traction system by Dongcui Wang, Yuan Zhu, Sibei Wu, Lu Liu

“…Abstract A discrete‐time full‐order sensorless control strategy for high‐speed interior permanent magnet synchronous motor (IPMSM) used in electric vehicle (EV) traction system is designed in this paper. While most speed and position observer (SPO) methods are developed in the continuous‐time domain, the presence of a unit‐time‐delay block existed in feedback loop and discretisation of the algorithm can lead to performance degradation during digital implementation. …”
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FedQP: Large-Scale Private and Flexible Federated Query Processing by Hussain M. J. Almohri, Layne T. Watson

“…The key challenge is in designing algorithms that efficiently aggregate client input, minimize data exposure, and maximize model adaptability. …”
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Deep Reinforcement Learning-Based Anti-Jamming Approach for Fast Frequency Hopping Systems by Sixi Cheng, Xiang Ling, Lidong Zhu

“…Building on this, we propose an improved multi-action deep recurrent Q-network (MA-DRQN) algorithm to determine the AFS for hopping sequence generation. …”
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