Learning to Drive in the NGSIM Simulator Using Proximal Policy Optimization by Yang Zhou, Yunxing Chen

“…To achieve that, current studies often applied machine learning methods like reinforcement learning to enable an agent to interact and learn in a stimulating environment. …”
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An Instructional Optimization Method Based on Bidirectional Transformer and Reinforcement Learning by Ran Zhang, Xiaoping Wu, Xude Zhang, Li Xu

“…These features are then fused via Transformer-based processing to predict optimal learning content. In addition, a DQN-based reinforcement learning module models dynamic shifts in user interests, enabling adaptive refinement of learning trajectories over time. …”
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Optimizing EFL Learners’ Writing Skills through Reflective Journaling by Kristian Florensio Wijaya

“…By releasing this research action, the researcher is more likely to generate more robust credible findings as each identical results were grouped into some major themes. …”
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Long term analysis of the link between practices and vineyard decline in relation to abiotic factors by Anne MEROT, Marie Thiollet-Scholtus, Marc Sladeczek, Laure Hossard, Nathalie Smits

“…We concluded that preventing decline requires adopting an integrated approach from planting to grubbing up, finding the right match between genetic material and soil–climate conditions, ensuring optimal water management, and managing potentially competing vegetation, like cover cropping. …”
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Optimal life-cycle adaptation of coastal infrastructure under climate change by Ashmita Bhattacharya, Konstantinos G. Papakonstantinou, Gordon P. Warn, Lauren McPhillips, Melissa M. Bilec, Chris E. Forest, Rahaf Hasan, Digant Chavda

“…Due to the substantial uncertainties inherent in climate projections, this identified policy will likely be sub-optimal with respect to the actual climate trajectory that evolves in time. …”
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Case Report: Diagnostic assessment, developmental trajectory and treatment approaches in a case of a complex neurodevelopmental syndrome associated with non- synonymous variants in... by V. Napoli, V. Napoli, S. Guerrera, F. Demaria, G. Piccolo, G. Piccolo, A. Cianfa, S. Passarini, S. Passarini, M. G. Logrieco, G. Zanni, G. Valeri, S. Vicari, S. Vicari

“…Tourette phenotypes have never been reported with MECP2 variants alone. Although Rett-like features are mainly due to MECP2 loss-of-function, MECP2 deficiency disrupts GABAergic signaling, making GABA modulators potential therapeutic targets. …”
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Analytical Modeling, Virtual Prototyping, and Performance Optimization of Cartesian Robots: A Comprehensive Review by Yasir Mehmood, Ferdinando Cannella, Silvio Cocuzza

“…Furthermore, the vibrations modeling, trajectory planning, and control strategies of the Cartesian robot are also presented. …”
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Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-Seq Data Analysis by Zhenyi Zhang, Yuhao Sun, Qiangwei Peng, Tiejun Li, Peijie Zhou

“…These technologies, when combined with computational frameworks such as Markov chains, stochastic differential equations (SDEs), and generative models like optimal transport and Schrödinger bridges, enable the reconstruction of dynamic cellular trajectories and cell fate decisions. …”
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Optimal Controller Design for a Mobile Robot Using Genetic Algorithm and Adaptive PID Controller by Jin-Hyun Park

“…The mobile robot’s control system comprises two controllers: a kinematic controller, optimized using genetic algorithms and cubic polynomial interpolation, to generate the optimal trajectory, and a dynamic controller using an adaptive PID approach to ensure stable and robust performance despite variations in system parameters like the robot’s weight. …”
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Hybrid Hunger Games Search optimization using a neural networks approach applied to UAVs by Nadia Samantha Zuñiga-Peña, Salatiel Garcia-Nava, Norberto Hernandez-Romero, Juan Carlos Seck-Touh-Mora

“…Optimization methods like population-based algorithms are valuable when applied to multidimensional and nonlinear problems. …”
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Application of sparrow search swarm intelligence optimization algorithm in identifying the critical surface in slope-stability by Abhijit Saha

“…Swarm intelligence (SI) optimization motivated by behavior of community-based organisms of flocks of birds, schools of fish, colonies of ants and bees performs the search through agents whose trajectories are primarily adjusted stochastically and sporadically deterministically, by golden rules drawn from Mother Nature. …”
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GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics. by Eman Ali Aldhahri, Abdulwahab Ali Almazroi, Monagi Hassan Alkinani, Mohammed Alqarni, Elham Abdullah Alghamdi, Nasir Ayub

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Preliminary Sizing of a Vertical-Takeoff–Horizontal-Landing TSTO Launch Vehicle Using Multidisciplinary Analysis Optimization by Xiaoyu Xu, Xinrui Fang, Xiongqing Yu

“…The VTHL TSTO concept is evaluated by multidisciplinary analysis, including geometry, propulsion, aerodynamics, mass, trajectory, and static stability. The preliminary sizing of the VTHL TSTO vehicle is formulated as a multidisciplinary optimization problem. …”
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Optimization framework for coupled and coordinated development of ecological environment and urbanization in dual-core urban agglomerations: A case study area of Chengdu-Chongqing by Huilin Yang, Huaiyong Shao, Cunbo Zhang, Chengkang Zhang, Wei Su, Qi Zhao

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Diverging trends in the global burden of ischemic heart disease attributable to non-optimal temperatures: a historical analysis (1990–2021) and 2050 projections by Zehao Jin, Zehao Jin, Yuting Pang, Ziyang Huang, Jialin Liu, Xiaoyi Zhan, Kangwei Wang

“…Analysis of the Bayesian modeling projections for 2050 revealed divergent trajectories: high non-optimal temperature-related age-standardized death rates and DALYs rates are likely to increase by 2.85 per 100,000 and 66.83 per 100,000, respectively. …”
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir, Aiman Erbad, Bechir Hamdaoui, Samir Brahim Belhaouari, Mohsen Guizani, Thang X. Vu

“…To address these issues, we formulate the problem of CNN layer distribution and UAV trajectory planning (LDTP) as an optimization problem to improve latency, reliability, and resource usage. …”
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Coupling of Advanced Guidance and Robust Control for the Descent and Precise Landing of Reusable Launchers by Alice De Oliveira, Michèle Lavagna

“…The latter are built at different points of the descent trajectory using Proportional-Integral-Derivative (PID)-like structures with feedback on the attitude angles, rates, and lateral body velocities. …”
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Yaw Stability Control of EV based on Torque Distribution by 丁惜瀛, 张钦爽, 覃艳丽, 苑克臣

“…The driving posture and trajectory of four-wheel-drive EV in the process of turning can not track orders of drivers just based on differential control, because the variable factors like road and tyre will cause some instability problems such as overswing, sideslip, oversteering and understeer. …”
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Path planning of unmanned ships based on A* and dynamic window approach by FU Long, SHEN Zhen, TAO Hao, HAN Yunjun, DONG Xisong, XIONG Gang

“…To address the challenge of balancing global optimization, efficiency, and safety in path planning, a method that integrates global search and local optimization was proposed, based on the A* algorithm and the dynamic window approach (DWA). …”
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Design and Analysis of a Serial Manipulator for Pick and Drop Objects for Material Handling at Uiri Metal Forming Workshop. by Behangana, Abert

“…Motion planning employed the Jacobian matrix to identify potential singularities and discrepancies between desired and actual trajectories. This analysis enhanced the understanding of motion control and trajectory optimization. …”
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