Microservice Workflow Scheduling with a Resource Configuration Model Under Deadline and Reliability Constraints by Wenzheng Li, Xiaoping Li, Long Chen, Mingjing Wang

“…Additionally, we propose a reliability microservice workflow scheduling algorithm (RMWS), which incorporates heuristic leasing and deployment strategies to ensure reliability while reducing cloud resource leasing cost. …”
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An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for Telemedicine by Yishan Wu, Mengxue Pang, Jianqiang Ma, Wei Ou, Qiuling Yue, Wenbao Han

“…By integrating ShangMi cryptographic algorithms and blockchain, it optimizes performance, achieving 35% lower communication overhead than previous protocols. …”
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A Diagnostic and Performance System for Soccer: Technical Design and Development by Alberto Gascón, Álvaro Marco, David Buldain, Javier Alfaro-Santafé, Jose Victor Alfaro-Santafé, Antonio Gómez-Bernal, Roberto Casas

“…Data were collected from nine professional players from the SD Huesca women’s team during controlled tests, and bespoke algorithms were developed to process kinematic data for precise event detection. …”
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Highly-Efficient Hardware Architecture for ML-KEM PQC Standard by Haesung Jung, Quang Dang Truong, Hanho Lee

“…This paper presents an efficient hardware architecture for the ML-KEM scheme, capable of supporting all algorithms and flexibly adapting to different security levels. …”
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Research on Wind Power Grid Integration Power Fluctuation Smoothing Control Strategy Based on Energy Storage Battery Health Prediction by Bin Cheng, Jiahui Wu, Guancheng Lv, Zhongbo Li

“…This study first adopts a Genetic Algorithm-Optimized Support Vector Regression (GA-SVR) model to predict the SOH of the energy storage system. …”
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A Biased–Randomized Iterated Local Search with Round-Robin for the Periodic Vehicle Routing Problem by Juan F. Gomez, Antonio R. Uguina, Javier Panadero, Angel A. Juan

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Quantum inspired elephant swarm intelligence for frequent item-sets mining by Hadjer Moulai

“…Additionally, a comparative study with relevant state of the art algorithms such as Bat algorithm (BAT) and Whale Optimization Algorithm (WOA) is performed, revealing the superiority of QDEHO and QDESWSA across most datasets.…”
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High-order statistics based blind channel estimation for PSK modulation in flat and slow fading channels by IXiao-tian L, EIJing L, LIUWei , IYan-bin L, HANGRun-sheng Z

“…A blind channel estimator based on high-order statistics (HOS) of PSK constellations was proposed.For flat and slow fading channels,firstly,the high-order statistics of PSK constellations with different alphabet size M was ana-lyzed.The M^th power symbols of MPSK constellations are same,whereas the M^thpower symbols are symmetrically dis-tributed on the complex plane when 1≤M′＜M.Secondly,the estimation algorithms of alphabet size M,initial phase and fading coefficient were introduced based on the characteristics above.Finally,simulation results show that when SNR＞12 dB,the proposed algorithm has the same estimation performance as the optimal Lloyd-Max algorithm,while the complexity is only 1/50 of Lloyd-Max algorithm.Moreover,the proposed algorithm's mean-square error curve converges remarkably to the least squares (LS) bound on the condition of less received symbols.…”
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The Robust Steiner Team Orienteering Problem with Decreasing Priorities under budgeted uncertainty by Lucas Assunção, Andréa Cynthia Santos

“…The goal is to find robust feasible routes maximizing the priorities collected, while considering the worst-case conditions of service times within an uncertainty budget and a routes’ duration limit. …”
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Metaheuristic Prediction Models for Kerf Deviation in Nd-YAG Laser Cutting of AlZnMgCu1.5 Alloy by Arulvalavan Tamilarasan, Devaraj Rajamani

“…A detailed investigation was conducted to examine the effects of various parameters on kerf deviation. The metaheuristic algorithms (i.e., Giant Trevally Optimizer—GTO; and Zebra Optimization Algorithm—ZOA) were implemented to determine the optimum process parameters for producing the best performance measures. …”
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Fusion of MHSA and Boruta for key feature selection in power system transient angle stability by WANG Man, ZHOU Xiaoyu, CHEN Fan, LAI Yening, ZHU Ying

“…Subsequently, the Boruta algorithm is employed to determine the number of key features. …”
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STARMAP: Spaceborne Target Acquisition Radar With Meta-RL Assisted Placement by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

“…To address this, we have developed an advanced meta-reinforcement learning (meta-RL) algorithm, enhancing a double deep Q-network (DDQN) to optimize receiver placement. …”
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A novel two stage neighborhood search for flexible job shop scheduling problem considering reconfigurable machine tools by Yanjun Shi, Chengjia Yu, Shiduo Ning

“…Experimental results on extended benchmark instances demonstrate that the proposed IGA-TNS effectively addresses the FJSP-MR, outperforming other algorithms in solution quality and computational efficiency. …”
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The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model by Jiaxin Wang, Ying Yang, Xian Yang, Yulong Lu, Yang Liu, Da Hu, Yongjia Hu

“…This research offers a solid scientific foundation for risk classification and hazard mitigation strategies while introducing a novel methodological framework through the integration of innovative algorithms. …”
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Energy-efficient artificial fish swarm-based clustering protocol for enhancing network lifetime in underwater wireless sensor networks by Puneet Kaur, Kiranbir Kaur, Kuldeep Singh, Kiran Saleem, Ateeq Ur Rehman, Rupesh Gupta, Seada Hussen Adem

“…EAFSCCIP leverages the collective behavior of artificial fish within a Bees algorithm framework, using a combination of heuristic and metaheuristic approaches for optimal cluster-head (CH) selection in each round. …”
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Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network by Yeqi Fei, Zhenye Li, Tingting Zhu, Zengtao Chen, Chao Ni

“…By applying hyperspectral imaging and a one-dimensional deep learning algorithm, we detect and classify impurities in seed cotton after harvest. …”
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Secure THz Communication in 6G: A Two-Stage DRL Approach for IRS-Assisted NOMA by Muhammad Shahwar, Manzoor Ahmed, Touseef Hussain, Muhammad Sheraz, Wali Ullah Khan, Teong Chee Chuah

“…Utilizing the deep deterministic policy gradient (DDPG) algorithm, we introduce a two-stage policy learning approach designed to optimize secrecy energy efficiency (SEE) while ensuring secure communication, even in the presence of multiple eavesdroppers (Eves). …”
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Improving forest above-ground biomass estimation using genetic-based feature selection from Sentinel-1 and Sentinel-2 data (case study of the Noor forest area in Iran) by Armin Moghimi, Ava Tavakoli Darestani, Nikrouz Mostofi, Mahdiyeh Fathi, Meisam Amani

“…In this study, we employed a Genetic Algorithm (GA) to estimate forest Above-Ground Biomass (AGB) by selecting the most applicable features from both Sentinel-2 optical and Sentinel-1 Synthetic Aperture Radar (SAR) images in the Noor forest. …”
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Estimating and mapping tailings properties of the largest iron cluster in China for resource potential and reuse: A new perspective from interpretable CNN model and proposed spectr... by Haimei Lei, Nisha Bao, Moli Yu, Yue Cao

“…The direct standardization (DS) algorithm was applied to correct GF-5 hyperspectral image. …”
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Exploring the Impact of Local Operator Configurations in the Multi-Demand Multidimensional Knapsack Problem by José García, Ivo Cattarinich, Paola Moraga, Hernan Pinto

“…In this work, we investigate four local operator configurations—Add, Drop, Swap, and All Operator—within the Whale Optimization Algorithm framework. Our approach integrates these operators to broaden search coverage and refine candidate solutions. …”
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