Active ramp-down control and trajectory design for tokamaks with neural differential equations and reinforcement learning by Allen M. Wang, Cristina Rea, Oswin So, Charles Dawson, Darren T. Garnier, Chuchu Fan

“…This work develops a reinforcement learning approach to this problem by training a policy to ramp-down the plasma current while avoiding limits on a number of quantities correlated with disruptions. …”
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Method of Estimating Energy Consumption for Intermodal Terminal Loading System Design by Mariusz Brzeziński, Dariusz Pyza, Joanna Archutowska, Michał Budzik

“…Stage II focused on determining the optimal number of machines required to handle a given throughput. …”
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Motion control and singular perturbation algorithms for lower limb rehabilitation robots by Yanchun Xie, Anna Wang, Xue Zhao, Yang Jiang, Yao Wu, Hailong Yu

“…First, the paper conducts an in-depth analysis of the mechanical structure of such robots and establishes detailed kinematics and dynamics models. An optimal S-type planning algorithm is proposed, transforming the S-type planning into an iterative solution problem for efficient and accelerated trajectory planning using dynamic equations. …”
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GaitCSF: Multi-Modal Gait Recognition Network Based on Channel Shuffle Regulation and Spatial-Frequency Joint Learning by Siwei Wei, Xiangyuan Xu, Dewen Liu, Chunzhi Wang, Lingyu Yan, Wangyu Wu

“…Subsequently, channel shuffling operations facilitate information exchange between different semantic groups, achieving adaptive enhancement and optimization of features with relatively low parameter overhead. …”
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Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

“…The interesting novelty of this study is the tactical use of ReLU-based DNN combined with feature optimization through the Extra Tree Classifier, which not only overcomes general problems like vanishing gradients and overfitting but also greatly increases the interpretability of the model and the efficiency of its computation. …”
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Robust Adaptive Path Tracking Control Scheme for Safe Autonomous Driving via Predicted Interval Algorithm by Cong Phat Vo, Jungeun Lee, Jeong Hwan Jeon

“…Meanwhile, a model predictive control technique is conceived from solving an optimization problem that is given in the interval predictor to ensure robust constraint satisfaction. …”
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Intelligent frequency control of AC microgrids with communication delay: An online tuning method subject to stabilizing parameters by Komeil Nosrati, Vjatseslav Skiparev, Aleksei Tepljakov, Eduard Petlenkov, Juri Belikov

“…Our solution integrates stabilizing PID controllers, computed through small-signal analysis and tuned via an automated search for optimal ANN weights and reinforcement learning (RL)-based selected constraints. …”
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Corporate Real Estate alignment by Monique Arkesteijn

“…In all pilot studies the decision makers used the opportunity to either add or remove decision variables and change curves, weights or constraints. The use of such a learning process in the context of work practice and problem solving is described by Schön (1987) as reflection in action. …”
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Secure and load balanced routing model for wireless sensor networks by Gousia Thahniyath, M. Jayaprasad

“…However, the open deployment, energy constraint, and lack of centralized administration make WSNs very vulnerable to various kinds of malicious attacks. …”
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Real-time traffic enhancement scheduling for train communication networks based on TSN by Deqiang He, Zeqian Chen, Daliang Sun, Zhenzhen Jin, Yanjun Chen, Rui Ma, Chen Liang

“…Then, the K shortest path routing algorithm based on load balancing provides the optimal routing for the scheduling process. Finally, the adaptive switch queue selection mechanism is introduced to solve the aggregation flow conflict problem effectively, queue resources are properly allocated, and the gate control list (GCL) of each frame in the queue is obtained. …”
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Optimising management against dynamic threats: A spatially explicit approach based on integer programming by José Salgado‐Rojas, Virgilio Hermoso, Eduardo Álvarez‐Miranda

“…Abstract Defining strategies to control dynamic threats is a highly complex problem that is defined by the biological characteristics of the threatening agents (e.g. invasive species), the landscape context and the management objective within the constraints of limited financial resources. …”
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Joint Modulation Identification and IQ Impairment Handling in Two-Path Relayed Multiple Users OFDMA Over Unknown Channels by Hala Mostafa, Mohamed Marey, Khaled Mohamad Almustafa, Juliano Katrib

“…While prior research has addressed this problem, it has predominantly considered non-cooperative single-user scenarios and overlooked practical transmission constraints. …”
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Array Design for Angle of Arrival Estimation Using the Worst-Case Two-Target Cramér-Rao Bound by Costas A. Kokke, Mario Coutino, Richard Heusdens, Geert Leus

“…The proposed selections also exhibit lower peak sidelobe levels without the need for sidelobe level constraints.…”
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Coordination of preventive, emergency and restorative trading strategies under uncertain sequential extreme weather events by Xuemei Dai, Jing Zhou, Xu Zhang, Kaifeng Zhang, Wei Feng

“…To address the uncertainty of SEWEs, a probability forecast-driven distributionally robust joint chance constraint (DRJCC) optimization method is proposed, which is efficiently solvable as a convex conic problem. …”
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Connectivity-Enhanced 3D Deployment Algorithm for Multiple UAVs in Space–Air–Ground Integrated Network by Shaoxiong Guo, Li Zhou, Shijie Liang, Kuo Cao, Zhiqun Song

“…In this paper, we consider the 3D deployment problem of multiple UAVs in SAGIN subject to the UAVs’ connection capacity limit and the UAV network’s robustness, maximizing the coverage of UAVs. …”
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Learning-based locomotion control fusing multimodal perception for a bipedal humanoid robot by Chao Ji, Diyuan Liu, Wei Gao, Shiwu Zhang

“…In this paper, visual information is added to the locomotion control problem of humanoid robot, and a three-stage multi-objective constraint policy distillation optimization algorithm is innovantly proposed. …”
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ETC-PCR: Coarse-to-Fine Edge-Triangle Compatibility for Robust and Accurate Point Cloud Registration by Mingyuan Zhao, Long Xu

“…Finally, a geometry-based pose refinement module is presented, which utilizes the original geometric information and formulates registration as a nonlinear least squares problem. To enhance robustness against outliers, Welsch function is selected as a robust kernel, efficiently solving the optimization using the Majorization-Minimization algorithm. …”
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Evolutionary Algorithms and Quantum Computing: Recent Advances, Opportunities, and Challenges by Junaid Ur Rehman, Muhammad Shohibul Ulum, Abdurrahman Wachid Shaffar, Amirul Adlil Hakim, Mujirin, Zaid Abdullah, Hayder Al-Hraishawi, Symeon Chatzinotas, Hyundong Shin

“…Additionally, the practical constraints associated with current quantum computers have highlighted a critical need for classical heuristic methods to optimize the tunable parameters of quantum circuits. …”
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Building Consumption Data Systems Driven by AI Plus Expert for Scientific and Technical Literature Information Resources by Guanghui YE, Kai TU, Lina HU, Li HAN, Zhiming FENG

“…[Purpose/Significance] Limited by the constraints of traditional literature classification systems, scientific and technical literature information resources face problems such as inadequate disclosure and resource utilization. …”
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Comprehensive Review of Robotized Freight Packing by German Pantoja-Benavides, Daniel Giraldo, Ana Montes, Andrea García, Carlos Rodríguez, César Marín, David Álvarez-Martínez

“…<i>Background</i>: This review addresses the emerging field of automated packing cells, which lies at the intersection of robotics and packing problems. Integrating these two fields is critical for optimizing logistics and e-commerce operations. …”
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