Application of expert systems in civil engineering by Ena Grčić, Marija Šperac

“…Genetic algorithms find their application in resource allocation, selecting optimal solutions for task scheduling and project costs, as well as in building maintenance, while fuzzy logic aids in risk analysis, project management, and cost estimation. …”
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Real time weed identification with enhanced mobilevit model for mobile devices by Xiaoyan Liu, Qingru Sui, Zhihui Chen

“…Abstract Deep learning model optimization have notably enhanced weed identification accuracy. …”
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Comparison of mobile robot positioning techniques by Iuliia Yamnenko, Vladislav Osokin

“…The genetic algorithm allows finding the optimal solution of the positioning problem while reducing a significant influence of the measurement error of sensors and other measuring devices on the result.…”
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Lightweight Design of a Connecting Rod Using Lattice-Structure Parameter Optimisation: A Test Case for L-PBF by Michele Amicarelli, Michele Trovato, Paolo Cicconi

“…The approach considers an early DoE analysis to explore the design space, Finite Element Analysis to evaluate the feasibility of possible design solutions, and Artificial Intelligence tools to look for optimal design solutions, including Genetic Algorithms and Response Surface Methods. …”
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Square-Based Division Scheme for Image Encryption Using Generalized Fibonacci Matrices by Panagiotis Oikonomou, George K. Kranas, Maria Sapounaki, Georgios Spathoulas, Aikaterini Aretaki, Athanasios Kakarountas, Maria Adam

“…The proposed encryption scheme can dynamically adapt to the image dimensions and ensure compatibility with images of varying and high resolutions, while it serves as a yardstick for any symmetric-key image encryption algorithm. …”
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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

“…This system offers a valuable tool for injury prevention, player rehabilitation, and performance optimization in professional soccer, bridging technical advancements with practical applications in sports science.…”
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Highly-Efficient Hardware Architecture for ML-KEM PQC Standard by Haesung Jung, Quang Dang Truong, Hanho Lee

“…Key innovations include the Unified Polynomial Arithmetic Module (UniPAM), capable of handling all polynomial arithmetic operations, and an optimized hash module for the SHA-3 variants integral to ML-KEM. …”
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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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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

“…R-STOP-DP is a variation of the vehicle routing problem with location priorities that applies robust optimization to model the variability on service times incurred by visiting locations. …”
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The P Balasubramaniam Award-2024 Singapore Orthopaedic Association Annual Scientific Meeting Award: Novel artificial intelligence algorithm for soft tissue balancing and bone cuts... by Matthew Song Peng Ng, Ryan Wai Keong Loke, Melvin Kian Loong Tan, Yau Hong Ng, Zi Qiang Glen Liau

“…Methods We developed a novel AI computational algorithm to optimize rTKA implant positioning in three-dimensional space. …”
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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

“…In response to challenges posed by existing transient stability feature selection methods, which often encounter limitations in searching for the optimum combination of critical features and lack an objective criterion for determining the optimal number of key features, this paper introduces a novel approach. …”
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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

“…Reconfigurable Machine Tools (RMTs), the core of RMS, enable dynamic configuration adjustments through auxiliary modules (AMs), enhancing both flexibility and efficiency. However, optimizing the allocation of limited AMs, considering non-negligible assembly and disassembly times, remains a significant challenge. …”
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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

“…To address the limitations of conventional prediction methods, in this study, we introduce an enhanced predictive model, the improved sparrow search algorithm-optimized extreme learning machine (ISSA-ELM), for accurate karst-collapse susceptibility assessment. …”
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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 fusing band combination optimization with deep learning, this study aims to achieve more efficient and accurate detection of film impurities in seed cotton on the production line. …”
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