SMART DShot: Secure Machine-Learning-Based Adaptive Real-Time Timing Correction by Hyunmin Kim, Zahid Basha Shaik Kadu, Kyusuk Han

“…Statistical validation using Analysis of Variance confirms significant performance differences (F(3,1996) = 30.30, <i>p</i> < 0.001) with large effect sizes (Cohen’s d up to 4.57), where 64.6% of algorithm comparisons showed large practical significance. …”
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An Adaptive Framework for Collective Anomaly Detection in Key Performance Indicators From Mobile Networks by Madalena Cilinio, Thaina Saraiva, Marco Sousa, Pedro Vieira, Antonio Rodrigues

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Adaptive Radio Frequency Interference Mitigation for Passive Bistatic Radar Using OFDM Waveform by Zhixin Zhao, Sihang Zhu, Yuhao Wang, Siyuan Cheng, Sheng Hong

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Discrete Element Simulations of Damage Evolution of NiAl-Based Material Reconstructed by Micro-CT Imaging by Arnas Kačeniauskas, Ruslan Pacevič, Eugeniuš Stupak, Jerzy Rojek, Marcin Chmielewski, Agnieszka Grabias, Szymon Nosewicz

“…A novel geometry reconstruction procedure based on micro-CT images and the adapted advancing front algorithm fills the solid phase using well-connected irregular and highly dense sphere packing, which directly represents the microstructure of the porous material. …”
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Two-stage stochastic capacitated Lot-Sizing problem by Lot-Size adaptation approach by Arsalan Rahmani, Meysam Hosseini, Amir Sahami

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The adaptive dynamic programming signal control system for person in a connected vehicle environment by Zongyuan Wu, Shiming LI, Gen LI, Ben Waterson, Luyao Zhu, Decai Wang

“…Leveraging Connected Vehicle (CV) data, this study proposes a novel Person-Based Adaptive Control Algorithm (PB-ACA) to minimize average person delay at isolated urban intersections. …”
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Energy-Efficient Data Recovery via Greedy Algorithm for Wireless Sensor Networks by Zhi-qiang Zou, Ze-ting Li, Shu Shen, Ru-chuan Wang

“…Furthermore, we study three different greedy algorithms under DAF_CSOR. Results of evaluation experiments show that the proposed sparsity-adaptive DAF_CSOR is relatively optimal in terms of recovery accuracy. …”
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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease by Tiantian Bai, Mengru Xu, Taotao Zhang, Xianjie Jia, Fuzhi Wang, Xiuling Jiang, Xing Wei

“…This study systematically evaluated the performance of each feature selection algorithm under different population sizes, specifically by comparing their average running time and objective function values to identify the optimal feature subset. …”
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MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics by Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem

“…To assess MOBCSA&#x2019;s performance, evaluation experiments were conducted on six benchmark biomedical datasets using three different classifiers. …”
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A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting by Aleksei Vakhnin, Ivan Ryzhikov, Harri Niska, Mikko Kolehmainen

“…The hybrid MO evolutionary algorithm integrates elements of genetic algorithms and self-adapted differential evolution. …”
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A classifier-assisted evolutionary algorithm with knowledge transfer for expensive multitasking problems by Min Hu, Zhigang Ren, Zhirui Cao, Yifeng Guo, Haitao Sun, Hongyao Zhou, Yu Guo

“…To be specific, a support vector classifier (SVC) is first developed and integrated into a classic evolutionary algorithm, i.e., covariance matrix adaptation evolution strategy (CMA-ES). …”
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Deep learning-based object detection algorithms in medical imaging: Systematic review by Carina Albuquerque, Roberto Henriques, Mauro Castelli

“…Our review of existing trends in DL-based object detection in medical images offers insights for future research directions. The continuous evolution of DL algorithms highlighted in the literature underscores the dynamic nature of this field, emphasizing the need for ongoing research and fitted optimization for specific applications.…”
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A Novel Hierarchical Clustering Algorithm Based on Density Peaks for Complex Datasets by Rong Zhou, Yong Zhang, Shengzhong Feng, Nurbol Luktarhan

“…In addition, a new clustering evaluation approach is also introduced to extract a “flat” and “optimal” partition solution from the structure by adaptively computing the clustering stability. …”
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MAF: An algorithm based on multi-agent characteristics for infrared and visible video fusion. by Yandong Liu, Linna Ji, Fengbao Yang, Xiaoming Guo

“…This approach establishes a multi-layered, dynamically adaptable fusion model, enabling real-time adjustments to the fusion algorithm during the infrared and visible video fusion process. …”
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NSGA-II-TLBO algorithm for optimizing campus environment art design scheme by Huicong Wang, Meng Zhang, Hongwei Yang

“…By designing test problems with different levels of difficulty, it provides a measure of the learning ability and adaptability of the algorithm. …”
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Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…It employs the mean absolute difference (MAD) as the dispersion measure and subsequently proposes a novel cache optimization strategy, namely MAD-index-sort. …”
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Dynamic Route Guidance in Vehicle Networks by Simulating Future Traffic Patterns by David Neiman, Zachary Rubinstein, Stephen Smith

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A Multi-Index Fusion Adaptive Cavitation Feature Extraction for Hydraulic Turbine Cavitation Detection by Yi Wang, Feng Li, Mengge Lv, Tianzhen Wang, Xiaohang Wang

“…The number of decomposition layers in the multi-index fusion variational mode decomposition (VMD) algorithm is adaptively determined by fusing multiple indicators related to cavitation characteristics, thus retaining more cavitation information and improving the quality of cavitation feature extraction. …”
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Replica exchange enhanced adaptively weighted stochastic gradient Langevin dynamics for Bayesian sampling and optimization by Zhenqing Wu, Wenwu Gong, Ziying Yu, Liuxin Zhu, Lili Yang

“…Abstract We propose the replica exchange adaptively weighted stochastic gradient Langevin dynamics (REAWSGLD) algorithm, designed explicitly for Bayesian learning with complex energy landscapes encountered in big data problems. …”
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Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance by Dev Bhanushali, Pooja Kamat, Harsh Dhiman

“…This study introduces the Slope Adaptive Signal Decomposition (SASD) algorithm, a novel method for extracting enhanced intrinsic machine health indicators from vibration data. …”
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