From Indoor to Daylight Electroluminescence Imaging for PV Module Diagnostics: A Comprehensive Review of Techniques, Challenges, and AI-Driven Advancements by Rodrigo del Prado Santamaría, Mahmoud Dhimish, Gisele Alves dos Reis Benatto, Thøger Kari, Peter B. Poulsen, Sergiu V. Spataru

“…By synthesizing recent advancements, this paper underscores the critical role of EL imaging in ensuring PV module reliability, optimizing performance, and supporting the long-term sustainability of solar energy systems.…”
Get full text

A 5G heterogeneous network deployment strategy for power distribution network by Zhang Ping, Qiu Chao, Zhang Linjuan, Zheng Zheng, Fan Bing, Xin Yanan

“…The strategy takes into account the terminal service carrying status, quantifies the importance of the terminal in the distribution network based on the importance of the service, and taking importance of the terminal as weight, using the weighted signal-to-interference and noise ratio, deployment cost and terminal overlap coverage as the optimization target, adopts genetic algorithm to realize the deployment of 5G macro base stations and micro base stations. …”
Get full text

Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO by Rui Wang, Na Pang, Haibo Guo, Xu Hu, Guo Li, Fei Li

“…Simulink is used to construct the sensor model of odd polynomial feedback control, and the Particle Swarm Optimization (PSO) algorithm is used to optimize the coefficients of the feedback function so that the sensor reaches a resonance state, thus reducing the noise interference and improving the sensitivity of the sensor. …”
Get full text

Ultraviolet Network Coverage Based on Non-Line-of-Sight Channel by Cheng Li, Zhiyong Xu, Jingyuan Wang, Jiyong Zhao, Jianhua Li

“…Ultraviolet (UV) networks, owing to their advantages of low eavesdropping rates, low background noise, strong anti-interference abilities, and non–line-of-sight (NLOS) communication, have high prospects for application in the complex electromagnetic environment. …”
Get full text

Packet Delivery Maximization Using Deep Reinforcement Learning-Based Transmission Scheduling for Industrial Cognitive Radio Systems by Pham Duy Thanh, Tran Nhut Khai Hoan, Hoang Thi Huong Giang, Insoo Koo

“…The performance of data aggregation in industrial wireless communications can be degraded by environmental interference on Industrial Scientific Medical (ISM) channels. …”
Get full text

Back Propagation Artificial Neural Network Enhanced Accuracy of Multi-Mode Sensors by Xue Zou, Xiaohong Wang, Jinchun Tu, Delun Chen, Yang Cao

“…We innovatively integrate back-propagation artificial neural networks (BP ANNs) to comprehensively process the three collected signal data sets, which successfully solves the problem of sensor failure caused by the large deviation of signal detection results, and greatly improves the prediction accuracy, detection range, and anti-interference of the sensor. Our findings provide an effective solution for optimizing the data analysis of multi-modal sensors, and show broad application prospects in bioanalysis, clinical diagnosis, and related fields.…”
Get full text

Proximal Anterior Cruciate Ligament Tear Primary Repair Using a Tensionable Knotless Anchor System by German Alejandro Jaramillo Quiceno, M.D., Paula Andrea Sarmiento Riveros, M.D., Rubén Darío Arias Pérez, B.S., M.D., Andrés Julián Mesa Bravo, M.D.

“…This surgical method not only allows for accurate tensioning during fixation but also reduces the possibility of interference with the healing process by eliminating the presence of implants in the femoral footprint and increasing the ligament-bone contact area. …”
Get full text

Determination of Victoria blue in water samples using ultrasound-assisted liquid-phase microextraction based on deep eutectic solvents: A comparative study of spectrophotometric an... by Zahra Khalifeh, Hamid Reza Rajabi, Ali Gorjizadeh Kohvade, Ardeshir Shokrollahi

“…In the US-LPME-DES method, a 1:1 ratio of choline chloride and oxalic acid (ChCl: OA) as the DES was optimized in the extraction process. The effect of analytical parameters on the extraction efficiency was studied and optimized using a response surface methodology based on experimental design. …”
Get full text

Research progress and prospects of intelligent mine ventilation by LIU Xiangying

“…To address these challenges, the future research directions should focus on: ① Developing new sensor devices with strong anti-interference capabilities to construct a spatiotemporal dynamic monitoring network that integrates "fixed-point monitoring+mobile inspection", enabling precise multi-parameter ventilation perception. ② Establishing an ultra-real-time simulation model for the ventilation network based on digital twin technology, and combining reinforcement learning and game theory methods to optimize the coordination between local decision-making and global strategy, thereby driving intelligent decision-making systems toward a cloud-edge-device collaborative mode. ③ Building a digital twin-driven disaster evolution simulation platform, integrating dynamic evacuation path planning and rapid deployment of robot clusters, thereby forming a three-tier emergency response system of "disaster warning-regional isolation-intelligent rescue".…”
Get full text

Local pattern aware 3D video swin transformer with masked autoencoding for realtime augmented reality gesture interaction by Suli Wang

“…Using weighted Euclidean distance and structural similarity optimization, the paper proposes an image denoising model based on maximum a posteriori probability that effectively reduces noise interference in gesture image analysis. …”
Get full text

DHS-YOLO: Enhanced Detection of Slender Wheat Seedlings Under Dynamic Illumination Conditions by Xuhua Dong, Jingbang Pan

“…To address these challenges, we propose DHS-YOLO, a novel deep learning framework optimized for robust wheat seedling detection under diverse illumination intensities. …”
Get full text

End-to-End Intelligent Fault Diagnosis of Transmission Bearings in Electric Vehicles Based on CNN by Yong Chen, Guangxin Li, Anhe Li, Bolin He

“…Environmental noise and transmission components can cause significant interference in vibration signals, rendering the extraction of bearing fault features challenging in service scenarios. …”
Get full text

Enhancing sleep stage classification with ballistocardiogram signals: feature selection using attention mechanism and XGBoost by Chao Luo, Banteng Liu, Jiayu Chai, Zhijian Teng

“…The attention-XGBoost fusion effectively mitigates interference from noisy and redundant features while optimizing feature relevance, demonstrating robust adaptability to the complexity of sleep signals. …”
Get full text

Artificial intelligence assisted wearable flexible sensors for sports: research progress in technology integration and application by Jie Wu, Zhiqi Mo, Xing Gao, Wanru Xin, Weiquan Shi, Jaeyoung Park

“…However, these sensors still encounter challenges in complex environments, including optical interference, temperature fluctuations, humidity, and mechanical stability, which severely impact their monitoring performance. …”
Get full text

Enhanced Seismic Imaging of Complex Geological Structures Using Model-Constrained Kirchhoff Pre-Stack Depth Migration: Numerical Validation and Field Application by Lei Wang, Shengjian Wang, Lei Zhang, Xianhua Hou

“…By establishing the initial velocity model, the method is iteratively optimized under the horizon constraint, and the travel time difference is used to update the model. …”
Get full text

Boosted electrocatalytic activity on FeCoNi LDHs incorporating Cd deposition for Staphylococcus aureus detection by Huamin Zhao, Xiaoxi Zheng, Jihao Su, Jun Wang, Xinrui Wang, Hang Li, Juan Wang, Kexin Shen, Chao Zhao

“…The FeCoNi LDHs were engineered with optimized metal sites to create lamellar structures with high electrocatalytic surface area. …”
Get full text

Research on a collaborative platform for teaching English in universities based on an intelligent voice system by Junwei Niu, Lijuan Jiang

“…Online teaching platforms have become an essential component of distance education; however, traditional platforms often suffer from background noise interference and insufficient teacher-student interaction, adversely affecting students' learning outcomes. …”
Get full text

Game-based resource allocation in heterogeneous downlink CR-NOMA network without subchannel sharing by Deepa Das, Rajendra Kumar Khadanga, Deepak Kumar Rout, Md. Minarul Islam, Taha Selim Ustun

“…We frame this joint optimization of SU cluster formation and power allocation as a cooperative multi-armed bandit game. …”
Get full text

Sensing Technologies for Outdoor/Indoor Farming by Luwei Wang, Mengyao Xiao, Xinge Guo, Yanqin Yang, Zixuan Zhang, Chengkuo Lee

“…By combining wearable sensors with intelligent data analysis and remote monitoring, modern agriculture can achieve refined management, resource optimization, and sustainable production, offering innovative solutions to global food security and environmental challenges.…”
Get full text

Hierarchical Sampling Representation Detector for Ship Detection in SAR Images by Ming Tong, Shenghua Fan, Jiu Jiang, Chu He

“…However, distinguishing ship targets precisely from the interference of multiplicative non-Gaussian coherent speckle is still a challenging task due to the discreteness, variability, and nonlinearity of ship scattering features. …”
Get full text