Research on Control Strategy of 3-DOF Electro-Hydraulic Servo Manipulator Based on Active Disturbance Rejection Controller by Chungeng Sun, Zhenlong Deng, Zhijie Duan

“…This method provides an innovative new approach to addressing the multi-degree-of-freedom coupled control problem in hydraulic robotic arms. The integration of FC and ADRC effectively optimizes error dynamics, improves disturbance estimation accuracy, and enhances interference resistance, thereby advancing the development of robotic arm control technology.…”
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On the origins of suboptimality in human probabilistic inference. by Luigi Acerbi, Sethu Vijayakumar, Daniel M Wolpert

“…It is unclear whether such suboptimality arises from an imprecise internal representation of the complex prior, or from additional constraints in performing probabilistic computations on complex distributions, even when accurately represented. …”
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Sea-Ice Surface Types Characterization and SAR Volume Backscattering Properties in Response to Sea States Interactions Using Structural Feature Fusion by Iman Heidarpour Shahrezaei, Hyun-Cheol Kim

“…The reconstructed reference sea-ice model is then subjected to an inverse problem solution analysis to generate the SAR volume backscattering dataset. …”
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Ultrawideband Impulse Radar Through-the-Wall Imaging with Compressive Sensing by Wenji Zhang, Moeness G. Amin, Fauzia Ahmad, Ahmad Hoorfar, Graeme E. Smith

“…In this paper, the impulse radar two-dimensional (2D) TWRI problem is cast within the framework of CS and solved by the sparse constraint optimization performed on time-domain samples. …”
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Nodal frequency-constrained energy storage planning via hybrid data-model driven methods by Jiaxin Wang, Jiawei Zhang, Min Yang, Yating Wang, Ning Zhang

“…Finally, we achieve optimal energy storage planning with both COI and nodal frequency constraints. …”
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Neural ODE-Based Dynamic Modeling and Predictive Control for Power Regulation in Distribution Networks by Libin Wen, Jinji Xi, Hong Hu, Li Xiong, Guangling Lu, Tannan Xiao

“…To ensure computational tractability for real-time applications, a local linearization technique is applied to the NODE dynamics within the MPC, transforming the optimization problem into a standard Quadratic Programming (QP) problem that can be solved efficiently. …”
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A Two-Step Algorithm for Handling Block-Wise Missing Data in Multi-Omics by Sergi Baena-Miret, Ferran Reverter, Alex Sánchez, Esteban Vegas

“…To address these issues, optimization techniques, including regularization and constraint-based approaches, have been already employed for regression and binary classification problems. …”
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An investigation into multi-objective decision-making in fresh cold chain supply chain networks within a dual distribution framework by Junyan Sun, Xing Li, Zefei Chen

“…In terms of modeling, a multi-objective supply chain network optimization model with the minimum total cost, the minimum total carbon emission and the shortest distribution time is constructed, and carbon emission constraints are introduced into the model at the same time in order to respond to the requirements of the low-carbon strategy, and to take into account the operational efficiency of the company, the quality of the consumer service and the social and environmental benefits. …”
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A Machine Learning Approach to Generate High-Resolution Maps of Irrigated Olive Groves by Rosa Gutiérrez-Cabrera, Ana M. Tarquis, Javier Borondo

“…In particular, in this paper, we address this problem for olive groves—a cornerstone of the region’s economy. …”
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A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks by Qing An, Santiago Segarra, Chris Dick, Ashutosh Sabharwal, Rahman Doost-Mohammady

“…As such, it is critical for the base station to schedule a suitable group of users in each time and frequency resource block to achieve maximum spectral efficiency while adhering to fairness constraints among the users. In this paper, we consider the resource scheduling problem for massive MIMO systems with its optimal solution known to be NP-hard. …”
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Adaptive Multiobjective Evolutionary Generative Adversarial Network for Metaverse Network Intrusion Detection by Dikai Xu, Bin Cao

“…This paper further introduces a double mutation multiobjective evolutionary neural architecture search algorithm, integrating both the multiobjective evolutionary algorithm and the neural architecture search to optimize accuracy, real-time performance, and model diversity—a crucial aspect for Metaverse devices with diverse hardware constraints. …”
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Joint Resource Allocation and Power Control in Rate-Splitting Multiple Access-Based Integrated Terrestrial and Non-Terrestrial Networks With HAP Assistance by Thong-Nhat Tran, Young Jeon, Heejung Yu, Taejoon Kim

“…A joint resource block and power control framework (JRPS) is formulated to maximize sum-rate under quality-of-service (QoS) constraints. The non-convex JRPS problem is reformulated as a linear program and solved using an iterative successive convex approximation algorithm that ensures local optimality. …”
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LMFUNet: A Lightweight Multi-fusion UNet Based on Spiking Neural Systems for Skin Lesion Segmentation by Ningkang Hu, Bing Li, Hong Peng, Zhicai Liu, Jun Wang

“…To cope with this problem, we propose a lightweight multi-fusion network (LMFUNet) with parameters of only 0.100M and GFLOPs of 0.106. …”
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Homomorphic Evaluation Cluster Architecture for Fully Homomorphic Encryption by Hanyoung Lee, Ardianto Satriawan, Hanho Lee

“…Therefore, an efficient implementation of rotation is crucial for high-performance FHE applications. To address this problem, we optimized the datapath of rotation in the CKKS scheme to be hardware-friendly and proposed a homomorphic evaluation cluster hardware accelerator tailored for FHE workloads. …”
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Clinicopathological feature and patterns of care of breast cancer patients in a peripheral tertiary care teaching institute: A retrospective analysis by Chayan Paul, Bibek Paul, Abhishek Basu

“…Our audit shows the majority of patients presenting with advanced disease, not having an IHC report and undergoing mastectomy which reflects both lack of screening, awareness as well as resource constraints that can challenge the delivery of optimal care.…”
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Modelling of Regional Economy Growth Strategy by I. S. Mezhov, E. V. Kletskova

“…The overwhelming number of studies of this problem is limited only to passive monitoring of the region’s economy state, or forecast its dynamics. …”
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Proposta de uma heurística construtiva baseada na TOC para definição de mix de produção A proposal of a constructive heuristics under the TOC for definition of production mix by Vinicius Amorim Sobreiro, Marcelo Seido Nagano

“…However, the definition of the product mix is a problem of difficult solution. Thus, with the help of the Theory of Constraints - TOC, some constructive heuristics were presented to help solve those problems. …”
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Let’s Go Bananas: Beyond Bounding Box Representations for Fisheye Camera-Based Object Detection in Autonomous Driving by Senthil Yogamani, Ganesh Sistu, Patrick Denny, Jane Courtney

“…Object detection is a mature problem in autonomous driving, with pedestrian detection being one of the first commercially deployed algorithms. …”
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Cancer care delivery during the Paris 2024 Olympic and Paralympic games: lessons from a crisis-driven Hospital at Home program by Jeremie Zerbit, Cecile Chauvin, Arsene Zogo, David Avran, Frederique Moufle, Florent Bousquie, Clement Leclaire

“…The Hospital at Home (HaH) program of Greater Paris University Hospitals (AP-HP) implemented innovative strategies to ensure uninterrupted care during this period.MethodsHaH deployed a “Games Pass” system for its fleet of 500 vehicles and introduced electric bicycles and optimized pedestrian routes to address accessibility constraints. …”
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Dictionary Learning Based on Nonnegative Matrix Factorization Using Parallel Coordinate Descent by Zunyi Tang, Shuxue Ding, Zhenni Li, Linlin Jiang

“…This is accomplished by posing the sparse representation of nonnegative signals as a problem of nonnegative matrix factorization (NMF) with a sparsity constraint. …”
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