Human-AI in affordance perspective: a study on ChatGPT users in the context of Indonesian users by Rizca Haqqu, Alya Rahma Zahrani, Astri Wulandari, Firdaus Azwar Ersyad, Adrio Kusmareza Adim

“…Using a qualitative descriptive method with light netnographic observation, this study examines user interactions and discussions within online communities. …”
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A Wide-Range TCSC Based ADN in Mountainous Areas Considering Hydropower-Photovoltaic-ESS Complementarity by Yao Guo, Shaorong Wang, Dezhi Chen

“…The simulation results demonstrate the effectiveness of the proposed method.…”
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Unmanned Surface Vessel Cluster Path Planning Based on Deep Reinforcement Learning by Manjiang YU, Jiawei HE, Bowen XING

“…Firstly, a long and short-term memory module was introduced based on the multi-agent deep deterministic policy gradient algorithm to enhance the ability of the USVs to utilize the temporal information in path planning; secondly, a multi-level representational experience pool was designed to improve the training efficiency and data utilization and reduce the interference between different experiences; finally, stochastic network distillation was used as a curiosity mechanism to provide intrinsic rewards for the USVs to explore new regions and solve the convergence due to the sparse rewards. …”
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STOCHASTIC APPROACH FOR EVALUATION OF RELIABILITY AND RESIDUAL LIFE OF TRANSPORT STRUCTURES by U. N. Rabtsau

“…In order to ensure maximum efficiency of investments in operation of transport network it is necessary exactly evaluate reliability and residual life of structures. …”
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A Comparative Study on Acoustic Optimization and Analysis of CLD/Plate in a Cavity Using ESO and GA by Dongdong Zhang, Shuwen Wang, Ling Zheng

“…The results demonstrate effectiveness of the two methods, and ESO is more efficient to obtain deterministic and more practical optimal CLD material layouts for minimizing sound radiation power. …”
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A Comprehensive Approach for Performance Evaluation in Petrochemical Industry: Integrating Sustainable Balanced Scorecard, Dynamic Network DEA, and DEMATEL in a Neutrosophic Enviro... by Hasan Abedifar, Bijan Rahmani Parchikolaei, Seyyed Mohammad Hadji Molana, Mahnaz Ahadzadeh Namin

“…To manage uncertainty within the model, we transformed the proposed model into deterministic forms. This enabled computation of efficiency boundaries at varying degrees of variation, providing robust performance analysis. …”
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A Monte-Carlo planning strategy for medical follow-up optimization: Illustration on multiple myeloma data. by Benoîte de Saporta, Aymar Thierry d'Argenlieu, Régis Sabbadin, Alice Cleynen

“…This method can also be adapted to other diseases.…”
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FORECASTING AND OPTIMIZATION OF CATALYTIC CRACKING UNIT OPERATION UNDER CONDITIONS OF FUZZY INFORMATION by Narkez Boranbayeva, Batyr Orazbayev, Leila Rzayeva, Zhalal Karabayev, Murat Alibek, Baktygul Assanova

“…The complexity of this process and the presence of fuzzy information caused by fuzzy initial data require the development of new modeling and optimization methods. Existing traditional models based on deterministic methods are often insufficient under uncertainty. …”
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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

“…Advanced forecasting models must be combined with robust optimization methods to address these challenges effectively. Conventional methods, such as logistic regression, decision trees, and linear discriminant analysis, often struggle to accurately detect early financial risks because they are deterministic and unsuited for exploring global optimal solutions. …”
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Multi-wavelength optical information processing with deep reinforcement learning by Qiuquan Yan, Hao Ouyang, Zilong Tao, Meili Shen, Shiyin Du, Jun Zhang, Hengzhu Liu, Hao Hao, Tian Jiang

“…To mitigate these issues, this study introduces a deep reinforcement learning calibration (DRC) method inspired by the deep deterministic policy gradient training strategy. …”
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Stochastic simulation of soil moisture dynamics in farmland in the eastern region of the Songnen Plain. by Bo Meng, Jin Wang, Fanxiang Meng, Ennan Zheng, Tianxiao Li, Bowen Tang

“…Soil moisture is the core of the hydrological cycle in agroecosystems, and most of the studies on soil moisture dynamics modeling adopt deterministic research methods, which are not well suited to study the hydrological processes in agricultural fields under changing conditions. …”
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Research on Long-Term Scheduling Optimization of Water–Wind–Solar Multi-Energy Complementary System Based on DDPG by Zixing Wan, Wenwu Li, Mu He, Taotao Zhang, Shengzhe Chen, Weiwei Guan, Xiaojun Hua, Shang Zheng

“…To address the challenges of high complexity in modeling the correlation of multi-dimensional stochastic variables and the difficulty of solving long-term scheduling models in continuous action spaces in multi-energy complementary systems, this paper proposes a long-term optimization scheduling method based on Deep Deterministic Policy Gradient (DDPG). …”
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Microfluidic device for both active and passive cell separation techniques: A review by Muhammad Asraf Mansor, Muhammad Asyraf Jamrus, Chong Kar Lok, Mohd Ridzuan Ahmad, Michal Petrů, Seyed Saeid Rahimian Koloor

“…In order to limit the extent of this work, our primary emphasis is on six common methods of cell separation: acoustophoresis, dielectrophoresis, magnetophoresis, inertial, pinched flow fractionation (PFF), and deterministic lateral displacement (DLD). …”
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Improved Multiverse Optimization Algorithm for Fuzzy Flexible Job-Shop Scheduling Problem by Jin-Cheng Fang, A-Feng Zeng, Shao-Feng Zheng, Wen-Di Zhao, Xu He

“…First, we designed a hybrid initialization method to improve the quality of the initial solution, and thereafter, introduced a self-crossing technique along with an insert-based heuristic algorithm to simulate the process of exchanging objects between black/white holes and wormholes, respectively. …”
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A Comprehensive Review on the Integration of Renewable Energy Through Advanced Planning and Optimization Techniques by Carlos Barrera-Singaña, María Paz Comech, Hugo Arcos

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Differentiable Imaging: Progress, Challenges, and Outlook by Ni Chen, David J. Brady, Edmund Y. Lam

“…Looking forward, we discuss critical opportunities in theoretical foundations, system innovation, and scientific applications, highlighting how differentiable imaging is poised to not only revolutionize imaging technology itself but also accelerate scientific discovery through artificial intelligence-enabled, physics-consistent computational methods.…”
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Modified Sparrow Search Algorithm by Incorporating Multi-Strategy for Solving Mathematical Optimization Problems by Yunpeng Ma, Wanting Meng, Xiaolu Wang, Peng Gu, Xinxin Zhang

“…Specifically, the Latin Hypercube Sampling (LHS) method is employed to achieve a uniform distribution of the initial population, laying a solid foundation for global search. …”
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Assessing the application of landmark-free morphometrics to macroevolutionary analyses by James M. Mulqueeney, Thomas H. G. Ezard, Anjali Goswami

“…Our findings highlight the potential of landmark-free approaches like DAA for large scale studies across disparate taxa, owing to their enhanced efficiency. However, they also reveal several challenges that should be addressed before these methods can be widely adopted. …”
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PSYCHOLOGICAL ASPECTS OF FORMATION OF A PRACTICE-ORIENTED ENVIRONMENT IN EDUCATIONAL INSTITUTIONS OF THE MINISTRY OF INTERNAL AFFAIRS OF RUSSIA by O. A. Ulyanina

“…The following main blocks of the program were highlighted and characterised: target, deterministic, content, medium, technological, analytically monitored, organisational and procedural. …”
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Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins by Marco Dal Molin, Dmitri Kavetski, Carlo Albert, Fabrizio Fenicia

“…In this study, the switch from observed to regionalized signatures increases predictive streamflow uncertainty by 38% and worsens the (deterministic) fit to observations by 17% (in terms of Nash‐Sutcliffe efficiency). …”
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