Adaptive Virtual Inertia and Voltage Estimation: Enabled Model Predictive Control for Improved Performance in Islanded DC Microgrids by Salisu Abdullahi, Khaled Eltag, Lei Weining, Chen Xiaohu

“…The virtual DC grid voltage is estimated using covariance adaptation in a standard Kalman filter algorithm. State estimation via feedback control stabilizes the voltage. …”
Get full text

Shoulder–Elbow Joint Angle Prediction Using COANN with Multi-Source Information Integration by Siyu Zong, Wei Li, Dawen Sun, Zhuoda Jia, Zhengwei Yue

“…To address the precision challenges in upper-limb joint motion prediction, this study proposes a novel artificial neural network (COANN) enhanced by the Cheetah Optimization Algorithm (COA). The model integrates surface electromyography (sEMG) signals with joint angle data through multi-source information fusion, effectively resolving the local optima issue in neural network training and improving the accuracy limitations of single sEMG predictions. …”
Get full text

Integrating FPGA-Based Acceleration in Industrial Motion Control System by Claudio Rubattu, Antonio Ledda, Francesco Ratto, Chaitanya Jugade, Dip Goswami, Francesca Palumbo

“…To achieve this, these devices are exploring the use of computer vision algorithms for automatic recognition of wafer positioning and die size. …”
Get full text

SimulatorOrchestrator: A 6G-Ready Simulator for the Cell-Free/Osmotic Infrastructure by Rohin Gillgallon, Reham Almutairi, Giacomo Bergami, Graham Morgan

“…The simulated 6G architecture, combined with the optimal routing algorithm and MEL (<span style="font-variant: small-caps;">Microelements</span> software components) allocation policy, was able to reduce the time required to route all communications from IoT devices to the cloud by up to 50.4% compared to analogous routing algorithms used within 5G architectures.…”
Get full text

Artificial intelligence approach to magnetohydrodynamic flow of non-Newtonian fluids over a wedge: Thermophoresis and Brownian motion effects by Talal Taha, Sohaib Abdal, Liaqat Ali, Rana Muhammad Zulqarnain, Se-Jin Yook

“…ODEs are first solved numerically using MATLAB’s bvp4c function, a known solver of boundary value problems known to solve complex ODEs within fluid dynamics very effectively. Further optimization and simplification of the analysis are achieved by using an artificial neural networking base Levenberg Marquardt algorithm (ANN-LMA) model. …”
Get full text

Dual-Closed-Loop Control System for Polysilicon Reduction Furnace Power Supply Based on Hysteresis PID and Predictive Control by Shihao Li, Tiejun Zeng, Shan Jian, Guiping Cui, Ziwen Che, Genghong Lin, Zeyu Yan

“…Meanwhile, the outer loop employs a hybrid MFAC-based improved PID algorithm to optimize the temperature tracking performance, achieving precise temperature control even in the presence of system uncertainties. …”
Get full text

DrugBERT: a BERT-based approach integrating LDA topic embedding and efficacy-aware mechanism for predicting anti-tumor drug efficacy by Weiwei Zhu, Xiaodong Jiang, Lei Zhang, Peng Zhou, Xinping Xie, Hongqiang Wang

“…In addition, the SMOTE algorithm is used to synthesize samples of the minority class to solve the problem of data imbalance. …”
Get full text

Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Building on this, we propose a hybrid model combining Gradient Boosting Regression (GBR) and Support Vector Regression (SVR), where the GBR component captures complex nonlinear patterns in traffic flow data, while the SVR component enhances the model&#x2019;s generalization ability by optimizing predictions. …”
Get full text

A generative deep neural network for pan-digestive tract cancer survival analysis by Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao, Hua Chai

“…Results In this study, we propose GDEC, a multi-task generative deep neural network designed for precise digestive tract cancer subtyping. The network optimization process involves employing an integrated loss function consisting of two modules: the generative-adversarial module facilitates spatial data distribution understanding for extracting high-quality information, while the clustering module aids in identifying disease subtypes. …”
Get full text

A Lightweight Method for Road Defect Detection in UAV Remote Sensing Images with Complex Backgrounds and Cross-Scale Fusion by Wenya Zhang, Xiang Li, Lina Wang, Danfei Zhang, Pengfei Lu, Lei Wang, Chuanxiang Cheng

“…Experimental findings indicate that the CSGEH-YOLO algorithm surpasses the baseline YOLOv8s, achieving a 3.1% improvement in mAP. …”
Get full text

ICT-Net: A Framework for Multi-Domain Cross-View Geo-Localization with Multi-Source Remote Sensing Fusion by Min Wu, Sirui Xu, Ziwei Wang, Jin Dong, Gong Cheng, Xinlong Yu, Yang Liu

“…To facilitate practical deployment, we propose a deep embedding clustering algorithm optimized for rapid parsing of geo-localization information. …”
Get full text

Impedance Characterization and Modeling of Gold, Silver, and PEDOT:PSS Ultra-Thin Tattoo Electrodes for Wearable Bioelectronics by Antonello Mascia, Riccardo Collu, Nasreddine Makni, Mattia Concas, Massimo Barbaro, Piero Cosseddu

“…The findings demonstrate that the tattoo electrodes offer impedance levels comparable to those of Ag/AgCl electrodes (in the order of tens of kΩ at 20 Hz), while providing additional benefits such as enhanced conformability, improved skin adhesion, and reduced skin irritation during use. …”
Get full text

A Constant False Alarm Rate Detection Method for Sonar Imagery Targets Based on Segmented Ordered Weighting by Wankai Na, Haisen Li, Jian Wang, Jiani Wen, Tianyao Xing, Yuxia Hou

“…The proposed framework employs a global segmentation algorithm to identify regions of interest containing potential targets, which is followed by localized two-dimensional CFAR detection. …”
Get full text

Demonstration of an Advanced Rectification Strategy on a Linear Generator for Better Electricity Quality by Boru Jia, Liutao Sun, Yidi Wei, Huihua Feng, Jian Li, Qiming Lei, Jiazheng Miao, Zhengxing Zuo

“…In terms of control strategy, a model predictive sliding mode compound control algorithm is introduced to optimize traditional PWM rectification. …”
Get full text

A Novel Crowdsourcing-Assisted 5G Wireless Signal Ranging Technique in MEC Architecture by Rui Lu, Lei Shi, Yinlong Liu, Zhongkai Dang

“…This study designs a progressive solution by (1) building a crowdsourced data collection network, using mobile terminals equipped with GPS technology to automatically collect device signal features, replacing inefficient manual drive tests; (2) developing a progressive signal update algorithm that integrates real-time crowdsourced data and historical signals to optimize the signal fingerprint database in dynamic environments; (3) establishing an edge service architecture to offload signal matching and trajectory estimation tasks to MEC nodes, using lightweight computing engines to reduce the load on the core network. …”
Get full text

An adaptive intelligent thermal-aware routing protocol for wireless body area networks by Abdollah Rahimi, Mehdi Jafari Shahbazzadeh, Amid Khatibi

“…In the first phase, sensor nodes exchange vital network status information, including residual energy, node temperature, link reliability, and delay, to build an optimized network topology. Instead of relying solely on shortest-path routing, a multi-criteria decision-making algorithm is employed to select the most efficient paths, prioritizing those that balance energy consumption, temperature regulation, and communication stability. …”
Get full text

An Adaptive Compound Control Strategy of Electric Vehicles for Coordinating Lateral Stability and Energy Efficiency by Xia Hua, Kai Xiang, Xiangle Cheng, Xiaobin Ning

“…The lower-layer controller implements an optimal torque distribution algorithm to minimize an objective function that considers tire workload, energy consumption, and smooth motor control. …”
Get full text

Prediction of Power System Ramping Demand Using Meteorological Features by Kuan Lu, Song Gao, Jun Li, Kang Chen, Chunhao Yu

“…First, an adaptive trend identification algorithm is proposed to extract key features of upward and downward ramps, including magnitude and duration. …”
Get full text

Nav2Scene: Navigation-driven fine-tuning for robot-friendly scene generation by Bowei Jiang, Tongyuan Bai, Peng Zheng, Tieru Wu, Rui Ma

“…Specifically, we first introduce path planning score (PPS), which is defined based on the results of the path planning algorithm and can be used to evaluate the robot navigation suitability of a given scene. …”
Get full text

Retrieval of Dissolved Organic Carbon Storage in Plateau Lakes Based on Remote Sensing and Analysis of Driving Factors: A Case Study of Lake Dianchi by Yufeng Yang, Wei Gao, Yuan Zhang

“…A result-oriented storage algorithm was established by linking surface DOC concentration to DOC storage through linear relationships (R² > 0.9), with slope and intercept functions optimized as depth-dependent equations. …”
Get full text