An Optimized FPGA-Based FDIR System for Sensor Fault Detection in Satellite Attitude Estimation by Xianliang Chen, Zhicheng Xie, Jiashu Wu, Xiaofeng Wu

“…This paper addresses these challenges by optimizing FDIR hardware implementation through reshaping, parallelism, and pipelining to reduce computational load and latency while enhancing efficiency and processing speed. …”
Get full text

Secure ISAC MIMO systems: exploiting interference with Bayesian Cramér–Rao bound optimization by Nanchi Su, Fan Liu, Christos Masouros, George C. Alexandropoulos, Yifeng Xiong, Qinyu Zhang

“…In particular, assuming that the distribution of each parameter to be estimated is known a priori, we focus on optimizing the targets’ sensing performance. To this end, we derive and minimize the Bayesian Cramér–Rao bound, while ensuring certain communication quality of service by exploiting constructive interference. …”
Get full text

An analytical optimal calibration framework of bonded particle model for rock strength envelop modelling by Xiaoxiong Zhou, Hongyi Xu, Qiuming Gong, Yanan Ma, Weiqiang Xie

“…Adaptive moment estimation (Adam) was chosen as the iterative optimization algorithm to avoid the vanishing gradient problem. …”
Get full text

Carbon Quota Allocation Prediction for Power Grids Using PSO-Optimized Neural Networks by Yixin Xu, Yanli Sun, Yina Teng, Shanglai Liu, Shiyu Ji, Zhen Zou, Yang Yu

“…Results indicate that the PSO algorithm mitigates local optimization constraints of the standard BP algorithm; the prediction error of carbon emissions by the combined model is significantly smaller than that of the single model, while its identification accuracy reaches 99.46%. …”
Get full text

Differential Evolution-Based End-Fire Realized Gain Optimization of Active and Parasitic Arrays by Rozita Konstantinou, Ihsan Kanbaz, Okan Yurduseven, Michail Matthaiou

“…This multi-objective optimization, underpinned by the differential evolution (DE) algorithm, uses a simple wire dipole as the unit element. …”
Get full text

An Intelligent Optimization System Using Neural Networks and Soft Computing for the FMM Etching Process by Wen-Chin Chen, An-Xuan Ngo, Jun-Fu Zhong

“…The system integrates advanced optimization techniques, including the Taguchi method, analysis of variance (ANOVA), back-propagation neural network (BPNN), and a hybrid particle swarm optimization–genetic algorithm (PSO-GA) approach to identify optimal process parameters. …”
Get full text

DDPG-Based UAV-RIS Framework for Optimizing Mobility in Future Wireless Communication Networks by Yasir Ullah, Idris Olalekan Adeoye, Mardeni Roslee, Mohd Azmi Ismail, Farman Ali, Shabeer Ahmad, Anwar Faizd Osman, Fatimah Zaharah Ali

“…The proposed framework jointly optimizes UAV trajectories and RIS phase shifts to improve throughput, energy efficiency (EE), and LoS probability while reducing outage probability (OP) and HOF. …”
Get full text

An Optimized Cascaded CNN Approach for Feature Extraction From Brain MRIs for Tumor Classification by Santosh Kumar Chhotray, Debahuti Mishra, Sarada Prasanna Pati, Sashikala Mishra

“…Four pre-trained models—VGG16, ResNet50, NASNet, and DenseNet121—capture distinct features, and a Custom-CNN integrates these models with the convolutional block attention module (CBAM). The bald eagle optimization (BEO) algorithm is used to optimize the hyperparameters while balancing exploration and exploitation. …”
Get full text

Enhancing Port Energy Autonomy Through Hybrid Renewables and Optimized Energy Storage Management by Dimitrios Cholidis, Nikolaos Sifakis, Nikolaos Savvakis, George Tsinarakis, Avraam Kartalidis, George Arampatzis

“…The paper adopts a genetic algorithm (GA)-based optimization framework to assess four energy management scenarios that embed wind turbines (WTs), photovoltaic energy (PV), an energy storage system (ESS), and an energy management system (EMS). …”
Get full text

Particle Swarm Optimization on Parallel Computers for Improving the Performance of a Gait Recognition System by Shahla A. Abdulqader, Hasmek A. Krekorian

“…In recent years, the gait recognition (GR) using particle swarm optimization (PSO) algorithm (OSO) has been execute very fast and accurate with single computer, but with the appearance of parallel computing (PC), it was necessary to use this technique to improve the results of GR. …”
Get full text

Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models by Yi Yang

“…The paper explores the subject of data flow optimization using Fuzzy Assisted Cuckoo Search Optimization (FACSO), traffic flow using Gaussian Process Regression (GPR), and CH prediction using the Stochastic Optimization Algorithm (SOA). …”
Get full text

Stiffness Regulation of Cable-Driven Redundant Manipulators Through Combined Optimization of Configuration and Cable Tension by Zhuo Liang, Pengkun Quan, Shichun Di

“…An improved differential evolution algorithm is employed to generate adjustable configuration solutions based on motion-level factors, while a modified gradient projection method is adopted to derive adjustable cable tension solutions based on tension-level factors. …”
Get full text

Performance Optimization in Three-Modality Biometric Verification using Heterogeneous CPU-GPU Computation by Bopatriciat Boluma Mangata, Pierre Tshibanda wa Tshibanda, Guy-Patient Mbiya Mpoyi, Jean Pepe Buanga Mapetu, Rostin Mabela Matendo Makengo, Eugène Mbuyi Mukendi

“…The main objective is to reduce the time required for verification while maintaining the system's accuracy. The design of this system is based on a decision fusion algorithm based on the logical OR connector, enabling the results of the three modalities to be combined. …”
Get full text

PCA-Kriging-Based Oscillating Jet Actuator Optimization and Wing Separation Flow Control by Qixiang Sun, Wanbo Wang, Jiaxin Pan

“…The multi-objective genetic algorithm was utilized to complete the optimization of the actuator, and the effect of flow separation control on the wing was verified. …”
Get full text

Mechanism and optimization study of bandgap regulation in three-component hexagonal lattice phononic crystals by Bao-hua Yu, Li-ming Lin, Hua-wei Ji

“…Finally, grounded in the equivalent model, the impact of different structural parameters on the bandgap is studied, and the structure is refined through Response Surface Methodology and the NSGA-II optimization algorithm. The results show that the three-component hexagonal lattice phononic crystal configuration has a complete bandgap within the frequency spectrum of 358.98–899.69 Hz. …”
Get full text

Optimization of Communication Signal Adversarial Examples by Selectively Preserving Low-Frequency Components of Perturbations by Yi Zhang, Lulu Wang, Xiaolei Wang, Dianxi Shi, Jiajun Bai

“…As a result, selectively preserving LFCP is established as the fundamental concept of the optimization strategy. By utilizing the binary search algorithm, which considers the inconsistency in the model’s predictions as a constraint, LFCP can be effectively identified, and the aim of minimizing perturbed distortion while maintaining ASR can be achieved. …”
Get full text

Study on a Rapid Aerodynamic Optimization Method of Flying Wing Aircraft for Conceptual Design by Chenhao Wei, Jun Huang, Lei Song

“…The proposed optimization method decreases the time cost in aircraft conceptual design while achieving sufficient calculation accuracy. …”
Get full text

Design and optimization of co-production process of natural gas liquefaction and BOG helium extraction by Rongge XIAO, Linnan PANG, Yalong LIU

“…Therefore, for the purpose of energy saving, consumption reduction and full utilization of the cold energy, this study proposes an innovative co-production process combining nitrogen cyclic expansion refrigeration based natural gas liquefaction and BOG cryogenic helium extraction, This study uses the HYSYS software to simulate the nitrogen cyclic expansion refrigeration based natural gas liquefaction, the BOG cryogenic helium extraction and the co-production process, and analyzes the key parameters relating to the comprehensive energy consumption and the crude helium concentration. While maintaining the crude helium concentration at 76.8%, the co-production system, with the goal of minimizing the comprehensive energy consumption, was optimized by applying the response surface method and the genetic algorithm into the process. …”
Get full text

Risk-Aware Vessel Scheduling and Routing Optimization with CVaR and LSTM-MSNet Prediction by Zhichao Cao, Zhiwei Zhu, Weike Lu, Silin Zhang

“…In particular, a hybrid demand prediction model, combining long short-term memory and multi-scale network techniques, predicts spot and contract container volumes at ports, facilitating real-time allocation and more precise scheduling optimization. Two hybrid heuristics, one adaptive large-neighborhood search algorithm, and the Gurobi solver are devised and compared based on the efficiency and accuracy of solving the model. …”
Get full text

Design and Optimization of Modular Solid Rocket Grain Matching Multi-Thrust Performance Curve by Wentao Li, Yunqin He, Yiyi Zhang, Guozhu Liang

“…Thirdly, the Nelder–Mead optimization algorithm is employed to maximize the propellant loading fraction and reduce the combustion chamber size. …”
Get full text