WGO: a similarly encoded whale-goshawk optimization algorithm for uncertain cloud manufacturing service composition by Kezhou Chen, Tao Wang, Huimin Zhuo, Lianglun Cheng

“…A novel similar integer coding method, incorporating spatial feature information, addresses the limitations of traditional integer coding, while a whale-optimized prey generation strategy improves NGO’s global optimization efficiency. …”
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Identification of Exposed Submarine Cable Status based on Optimized VMD-GAF-MCNN for Multi Sensor Fusion by WANG Wei, WANG Wendong, YOU Peng, XIAO Zexin, AN Bowen, CUI Guiyan

“…【Methods】The optimized VMD-GAF-MCNN method proposed in this paper integrates signal processing and deep learning techniques. …”
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A Multi-Criteria Decision-Making Framework for Evaluating Emerging Digital Technologies in Supply Chain Optimization by Nabil M. AbdelAziz, Dina Mohamed, Hasnaa Soliman

“…A sensitivity analysis confirmed the robustness of these rankings against weight variations, while comparative validation using alternative MCDM methods (e.g., CODAS,COPRAS, EDAS, and SPOTIS) further supports the reliability of the findings. …”
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Optimized Navigation for SLAM Using Marker-Assisted Region Scanning, Path Finding, and Mapping Completion Control by Luigi Maciel Ribeiro, Nadia Nedjah, Paulo Victor Rodrigues de Carvalho

“…This paper introduces Marker-Assisted Region Scanning for Simultaneous Localization and Mapping (MARS-SLAM), a novel approach to optimizing SLAM in unknown environments. Designed to enhance autonomous exploration in extreme conditions, MARS-SLAM ensures efficient navigation while providing a systematic method for verifying mapping completion. …”
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Design of an intelligent AI-based multi-layer optimization framework for grid-tied solar PV-fuel cell hybrid energy systems by Prashant Nene, Dolly Thankachan

“…The results validate its capability when compared against traditional methods such as Genetic Algorithms and Particle Swarm Optimization. …”
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A Comparison of the Artificial Neural Network with Classical Methods in Corporate Credit Scoring by Şahap Kavcıoğlu

“…The result of the study indicated that artificial neural networks which have higher success than logistic regression on the development sample, saw lower success on the out of sample data. Thus, while artificial neural networks show higher performance, it is concluded that logistic regression provides more consistent results, and it is thought that artificial neural networks can produce more consistent results by optimization of the iteration processes.…”
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Optimizing rainfed cropping patterns for economic and environmental sustainability in East Lorestan Iran using GIS and LCA by Zahra Marzban, Mohamamd Reza Asgharipour

“…Policymakers can use these results to develop policies that promote sustainable agricultural practices while practitioners can adopt these methods to optimize their cultivation patterns and reduce their environmental impact.…”
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Using Surrogate Models in the Construction of a Pareto-Optimal Positioning Electropneumatic Actuator with Discrete Pneumatic Valves by M. O. Sheykin, S. N. Cherkasskikh, D. V. Shilin, V. V. Fedenkov

“…Using classical methods for constructing a Pareto set for multicriteria optimization requires significant computational resources, which complicates their practical application.The research objective is to develop a methodology for multicriteria optimization of the parameters of a positioning electropneumatic actuator with discrete distributors based on the construction of a Pareto set using surrogate models, which provides finding the optimal balance between switching frequency and positioning accuracy.Materials and Methods. …”
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Near Time-Optimal Trajectories with ISO Standard Constraints for Human–Robot Collaboration in Fabric Co-Transportation by Renat Kermenov, Alessandro Di Biase, Ilaria Pellicani, Sauro Longhi, Andrea Bonci

“…This is achieved by constraining the path of the robot trajectory with prescribed velocities and accelerations while simultaneously ensuring a near time-optimal control strategy. …”
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Optimized Identity Authentication via Channel State Information for Two-Factor User Verification in Information Systems by Chuangeng Tian, Fanjia Li, Xiaomeng Liu, Juanjuan Li

“…Feature extraction is further optimized through a dual-threshold moving window detection algorithm for precise activity segmentation, a subcarrier selection method to filter redundant or unstable channels, and principal component analysis (PCA) to reduce feature dimensionality while retaining 90% of critical information. …”
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A Study on Optimal Data Bandwidth of Recurrent Neural Network–Based Dynamics Model for Robot Manipulators by Seungcheon Shin, Minseok Kang, Jaemin Baek

“…The proposed method has a key point that the optimal data bandwidth can be obtained by the loss function and its derivative in the robot manipulators. …”
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TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency by Lesia Mochurad, Roman Levkovych

“…Experimental results show that the proposed TCN-QRNN model outperforms traditional methods by 40% in accuracy compared to LSTM and by 8% in terms of metrics such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) compared to TCN-LSTM, while reducing data processing time by 30%. …”
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Multi-objective optimization and performance evaluation of rotary furnace refractory linings using locally sourced materials by Aragaw Mulu Muhaba

“…The Grey Taguchi method and grey relational analysis were employed to optimize cold crushing strength (CCS), thermal shock resistance (TSR), and open porosity (OP). …”
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Robust Image Population Based Stain Color Normalization: How Many Reference Slides Are Enough? by Jose L. Agraz, Caleb M. Grenko, Andrew A. Chen, Angela N. Viaene, MacLean D. Nasrallah, Sarthak Pati, Tahsin Kurc, Joel Saltz, Michael D. Feldman, Hamed Akbari, Parth Sharma, Russell T. Shinohara, Spyridon Bakas

“…Although pathologists compensate for color variations, these disparities introduce inaccuracies in computational whole slide image (WSI) analysis, accentuating data domain shift and degrading generalization. …”
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Multi-objective Optimal Scheduling of Water-Carbon in Cascade Reservoirs during Impoundment for Carbon Emission Reduction by ZHOU Yan-lai, NING Zhi-hao, HE Jun-tao

“…[Methods] Given that current studies on cascade reservoir impoundment scheduling have not yet incorporated carbon reduction objectives, this study proposed a multi-objective water-carbon scheduling model for cascade reservoirs during impoundment period based on the carbon emission factor method.An early storage strategy for cascade reservoirs was developed,and three objectives—minimizing flood control risk,maximizing power generation,and minimizing greenhouse gas emissions—were established.The Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ) was employed to derive optimal scheduling schemes for the impoundment period.…”
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CriSALAD: Robust Visual Place Recognition Using Cross-Image Information and Optimal Transport Aggregation by Jinyi Xu, Yuhang Ming, Minyang Xu, Yaqi Fan, Yuan Zhang, Wanzeng Kong

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Numerical Optimization of Laser Powder Bed Fusion Process Parameters for High-Precision Manufacturing of Pure Molybdenum by İnayet Burcu Toprak, Nafel Dogdu, Metin Uymaz Salamci

“…This study presents a comprehensive numerical investigation of the Laser Powder Bed Fusion (LPBF) process for pure molybdenum, focusing on high-precision modeling and process optimization. The powder spreading behavior is simulated using the Discrete Element Method (DEM), while molten pool dynamics are analyzed through Computational Fluid Dynamics (CFD). …”
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Optimizing IoT Intrusion Detection—A Graph Neural Network Approach with Attribute-Based Graph Construction by Tien Ngo, Jiao Yin, Yong-Feng Ge, Hua Wang

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Thermo-economic optimization of a hybrid solar-wind energy system for the production of clean hydrogen and electricity by Ali Bedakhanian, Akbar Maleki, Siavash Haghighat

“…According to the optimization results, the exergy efficiency of 13.35 % was achieved while the cost rate was equal to $25.48 per hour, respectively. …”
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…A key objective in this area is the design of ultra-compact, high-performance nanophotonic devices to pave the way for next-generation photonics. While conventional brute-force, intuition-based forward design methods have produced successful nanophotonic solutions over the past several decades, recent developments in optimization methods and artificial intelligence offer new potential to expand these capabilities. …”
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