Strategic Power Flow-Stackelberg Dynamics for Minimizing Transmission Losses in Peer-to-Peer Trading by K. V. Biji Varghese, Dattatraya N. Gaonkar

“…Seller microgrids initiate the game by proposing trading prices that account for transmission losses and the amount of energy to be traded, while the buyer microgrids respond by optimizing their trading strategies based on these proposed prices. …”
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Hybrid Path Planning Method for USV Based on Improved A-Star and DWA by Yan Liu, Zeqiang Sun, Junhe Wan, Hui Li, Delong Yang, Yanping Li, Wei Fu, Zhen Yu, Jichang Sun

“…Simulation results demonstrate that the proposed algorithm generates secure global paths, significantly optimizing node count, path length, and smoothness, while effectively avoiding dynamic obstacles, thus ensuring safe navigation of the USV.…”
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A Decision Model for the Order Sequence and Delivery Date Problem in Companies Manufacturing According to the Order by Alperen Calapoğlu, Melike Şişeci Çeşmeli, İhsan Pençe, Özlem Çetinkaya Bozkurt

“…The created model has been carried out on a company that produces to order. While determining how to choose between indivisible orders under a limited capacity, the ability of heuristic optimization to produce fast and reasonable solutions is utilized. …”
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QoE-aware video distribution mechanism in FiWi by Ruyan WANG, Yan YANG, Dapeng WU

“…The mismatch of transmission ability causes the discontinuous transmission of video services in fiber-wireless access network,aimed at this problem,an QoE-aware video distribution mechanism was proposed.According to the structural characteristics of fiber-wireless access network,link state information and scalable video coding structure was considered,a QoE evaluation mode was established,and the particle swarm optimization algorithm was used to select optimal video transmission rate.Then the node transmission capacity and the node matching degree was analyzed,transmission path for the services was selected,so as to ensure the reliable transmission of services.The results show that the proposed mechanism can effectively improve the utilization rate of network resources and reduce network congestion while improving the quality of the user experience.…”
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Hybrid optimization of thermally-enhanced Zn-Fe LDH catalysts for fenton-like reactions: Integrating design of experiments with machine learning models for optimisation by Ramadhan Muhammad Naufal, Nawwal Hikmah, Dessy Ariyanti

“…This study presents a novel hybrid modeling framework that combines Response Surface Methodology (RSM) with machine learning (ML) algorithms– Support Vector Regression (SVR) and Gradient Boosting Regression (GBR)– to contribute to the predictive modeling and optimization of thermally-activated ZnFe-LDH based Fenton catalysis. …”
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Facilitating real-time LED-based photoacoustic imaging with DenP2P: An optimized conditional generative adversarial deep learning solution by Avijit Paul, Srivalleesha Mallidi

“…Photoacoustic imaging (PAI) benefits from the optical absorption contrast of the tissue while achieving greater depth information with ultrasound resolution than the other optical imaging platforms. …”
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Improved faster R-CNN for steel surface defect detection in industrial quality control by Yuefeng Leng, Jiazhi Liu

“…Evaluated on the NEU-DET dataset, the optimized model achieves a mean average precision (mAP) of 80.2%-yielding a 12.6% improvement over the baseline-while increasing detection speed by 40.9%. …”
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Path Planning and Obstacle Avoidance of Formation Flight by Yi-Sin Yang, Jih-Gau Juang

“…For obstacle avoidance, depth cameras are installed on the drones, and the obtained images are processed by reinforcement Q-learning with a genetic algorithm to navigate around obstacles. Since maintaining formation is necessary during task execution, the leader–follower method of formation flight ensures that multiple drones can complete inspection tasks while maintaining formation.…”
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Steganographic model to conceal the secret data in audio files utilizing a fourfold paradigm: Interpolation, multi-layering, optimized sample space, and smoothing by Daffa Tristan Firdaus, Ntivuguruzwa Jean De La Croix, Tohari Ahmad, Didacienne Mukanyiligira, Louis Sibomana

“…These findings confirm the effectiveness of the model in maintaining audio quality while concealing data. Moreover, this study recommends that practitioners in steganography with audio data prioritize data concealment algorithms that enhance security over stego audio quality.…”
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Combined digital media technology and advanced computing science in folk art design application by Xingxing Fu

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A Multi-Objective Optimization and Decision Support Framework for Natural Daylight and Building Areas in Community Elderly Care Facilities in Land-Scarce Cities by Fang Wen, Lu Zhang, Ling Jiang, Wenqi Sun, Tong Jin, Bo Zhang

“…This study addresses this issue by adopting an integrated multi-method research framework that combines multi-objective optimization (MOO) algorithms, Spearman rank correlation analysis, ensemble learning methods (Random Forest combined with SHapley Additive exPlanations (SHAP), where SHAP enhances the interpretability of ensemble models), and Self-Organizing Map (SOM) neural networks. …”
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Self-healing and energy-efficient cluster-based routing for sustainable wireless sensor networks by Gayathri M, Vanapalli Veera Snigdha

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Finite Mixture Model-Based Analysis of Yarn Quality Parameters by Esra Karakaş, Melik Koyuncu, Mülayim Öngün Ükelge

“…Model parameters are estimated using the expectation–maximization (EM) algorithm, and model selection is guided by the Akaike and Bayesian information criteria (AIC and BIC). …”
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LHS-GA Based H-Infinity Control for Robust Airfoil Flutter Suppression by Malek Rekik, Omar Khaled, Karolos Grigoriadis, Matthew A. Franchek

“…The objective is to design a robust controller that effectively suppresses flutter while optimizing performance metrics, specifically time-domain constraints and settling time. …”
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Architectural Exploration and Performance Enhancement of the CVA6 RISC-V Core Using the Gem5 Simulation Framework by Umer Shahid, Muhammad Tahir, Bilal Zafar, Ayesha Ahmad, Shanzay Wasim, Bisal Saeed

“…To further enhance the architecture, we integrated machine learning algorithms to optimize performance and resource efficiency. …”
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A Neural Network-Based Structural Parameter Assessment Method for Prefabricated Concrete Pavement by Yongsheng Tang, Yunzhen Lin, Tao Yu

“…Therefore, a new method based on a neural network is applied to implement a long-term structural assessment, with the input being monitored strain data; it is named the jellyfish search algorithm-optimized BP neural network (JS-BP) model. …”
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Path Planning for Rapid DEDAM Processing Subject to Interpass Temperature Constraints by Glenn W. Hatala, Edward W. Reutzel, Qian Wang

“…To evaluate this, a compact analytic thermal model is used to predict the thermal history during laser-based directed energy deposition (DED-LB/M) hot wire (lateral feeding) of ER100S-G, a welding wire equivalent to high yield steel. A greedy algorithm, integrated with the thermal model, identifies a tool path order that ensures compliance with the interpass requirement of the material while minimizing interpass dwell time and, thus, the total deposition time. …”
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Extraction and analysis of aerosol anomalies associated with multiple shallow earthquakes based on MODIS AOD products by Ping Lu, Xiao Gao, Zhixuan Xiong, Yu Shang

“…The results suggest that a 1° buffer is the optimal spatial window for most earthquake cases. …”
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A Blockchain Network Communication Architecture Based on Information-Centric Networking by Yufei Zhou, Rui Han, Yang Li

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Rheological behavior of MWCNT-SnO2/SAE50 hybrid nanolubricant: Experimental evaluation and viscosity prediction using optimized machine learning model by Mojtaba Sepehrnia, Hamid Maleki, Alireza Hamidi, Ali Davoodi, Hamidreza Golmohammadi

“…In the second part of this paper, highly accurate models for predicting the viscosity of the nanolubricant were developed by proposing a whole search-based strategy for the structural/training optimization of the multilayer perceptron neural network (MLPNN). …”
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