Analytical methods for in-depth characterisation of cell culture bioreactors: A case study by Janik D. Seidel, Clifford Young, Manuela Klingler-Hoffmann, Mark R. Condina, Alok Shah, Sri Ramarathinam, Woan Mei Kok, Craig Kyngdon, Peter Hoffmann

“…Process development and optimization is challenging due to the complexity of cell culture systems and interdependency of process parameters on product quality attributes. …”
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Distributed Trajectory Optimization for Connected and Automated Vehicle Platoons Considering Safe Inter-Vehicle Following Gaps by Meiqi Liu, Ying Gao, Yikai Zeng, Ruochen Hao

“…This study proposes a distributed optimization method that decomposes the platoon trajectory planning problem into independent individual vehicle tasks while ensuring safe inter-vehicle following gaps and maximizing travel efficiencyand ride comfort. …”
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A Deep Reinforcement-Learning-Based Route Optimization Model for Multi-Compartment Cold Chain Distribution by Jingming Hu, Chong Wang

“…Compared to a recent ant colony optimization algorithm, it achieves up to a 6.32% reduction in costs while being up to 1637 times faster in computation.…”
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Optimized Controller Design Using Hybrid Real-Time Model Identification with LSTM-Based Adaptive Control by Yeon-Jeong Park, Joon-Ho Cho

“…This method compensates for the delay time of the SOPTD model while minimizing the Integral Time Absolute Error performance index. …”
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Efficient optimum safety factor approach for system reliability-based design optimization with application to composite yarns by Gh. Kharmanda, I. R. Antypas

“…This model is called Reliability-Based Design Optimization (RBDO). In fact, the coupling between the mechanical modelling, the reliability analyses and the optimization methods leads to very high computational cost and weak convergence stability. …”
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Green ILC: A Novel Energy-Efficient Iterative Learning Control Approach by Yu Dou, Emmanuel Prempain

“…This novel approach introduces a cost function that minimizes both tracking errors and control effort, enabling the system to adaptively optimize performance over iterations. Theoretical analysis and simulation results demonstrate that Green ILC not only achieves faster convergence but also provides significant energy savings compared with traditional ILC methods. …”
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Optimization of Smooth Trajectories for Two-Wheel Differential Robots Under Kinematic Constraints Using Clothoid Curves by Wei Zeng, Tifan Xiong, Chao Wang

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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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Technology independent optimization when implementing sparse systems of disjunctive normal forms of Boolean functions in ASIC by P. N. Bibilo, S. N. Kardash

“…When implementing sparse DNF systems of Boolean functions in ASIC, along with traditional methods of joint minimization of systems of functions in the DNF class, methods for optimizing multilevel representations of Boolean function systems based on Shannon expansions can be used for technologically independent optimization, while separate minimization and joint minimization of the entire system as a whole turn out to be less effective compared with block partitions and coatings of the DNF system and subsequent minimization of multilevel representations. …”
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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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