Toward Secure Smart Grid Systems: Risks, Threats, Challenges, and Future Directions by Jean Paul A. Yaacoub, Hassan N. Noura, Ola Salman, Khaled Chahine

“…However, with the integration of complex technologies and interconnected systems inherent to smart grids comes a new set of safety and security challenges that must be addressed. …”
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Multilevel Feature Interaction Network for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo

“…High-spatial resolution (HSR) remote sensing images present significant challenges due to their highly complex backgrounds, a large number of densely distributed small targets, and the potential for confusion with land targets. …”
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Evaluation of the Ratio of Spot Tests and Plaque-Forming Activity Tests of Bacteriophages of Prevalent Pathogens by I. M. Pchelin, D. V. Azarov, V. A. Dedik, D. A. Kushnirenko, B. I. Aslanov, A. E. Goncharov, D. A. Lioznov

“…In general, the observation of clear lysis spots on the spot test in most cases indicates bacteriophage replication, which allows us to consider the spot test method as indicative, but requiring subsequent validation by more complex methods characterizing the efficiency of phage replication.…”
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Research progress on the application of digital technology in the diagnosis and treatment of tooth wear by HE Yi, WANG Dingjie, XIAO Yuhong

“…Tooth wear is a common and complex oral problem, with a gradually increasing global incidence. …”
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Surface-Modified Carbon Dots for Cancer Therapy: Integrating Diagnostic and Therapeutic Applications by González M, Romero MP

“…Gene therapy applications take advantage of the ability of CDs to condense and protect genetic material from degradation, thereby facilitating efficient cellular uptake. Furthermore, metal-doped CDs can function as fluorophores and enhance imaging capabilities for tumor detection through fluorescence and MRI. …”
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Virtual power plant to ensure reliable power supply and accident-free operation of process equipment of a mining enterprise by Telmanova E.D., Abdrakhmanov I.D.

“…The functional scheme of power supply of the enterprise of mineral and raw materials complex is presented, which shows the place and functions of the virtual power plant in this system. …”
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A novel approach to feature extraction from gear condition monitoring signals by Lina Bouhafs, Salah Tamalouzt, Ahcene Bouzida

“…Vibration signals from machinery are often complex, consisting of many different components, making it challenging to isolate the fault-related features from the noise. …”
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High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…It promises to improve road safety, reduce traffic congestion, and increase overall transportation efficiency. It is made possible by a plethora of modern technologies, such as AI, low-power hardware, and complex computing. …”
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An online multi-camera multi-vehicle tracking using lightweight YOLO11 and improved association strategies by Feijiang Huang, Jialong Yao, Chengyue Su, Sheng Xu

“…To overcome these issues, this paper proposes an efficient online MCMVT method that improves tracking accuracy in complex environments and is suitable for edge devices. …”
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Explainable Multi-Scale CAM Attention for Interpretable Cloud Segmentation in Astro-Meteorological Applications by Qing Xu, Zichen Zhang, Guanfang Wang, Yunjie Chen

“…The proposed framework balances accuracy, interpretability, and computational efficiency, offering a trustworthy solution for cloud detection systems in operational settings.…”
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Citrus Disease Classification Model Based on Improved ConvNeXt by Jichi Yan, Yongbin Mo, Yannan Yu, Shiqing Dou, Rongfeng Yang

“…Early diagnosis of citrus diseases directly affects the yield and quality of citrus cultivation, and a citrus disease classification model based on improved ConvNeXt is proposed to address the problems of high cost and low efficiency of traditional citrus disease detection methods. …”
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Real-Time Hand Gesture Recognition in Clinical Settings: A Low-Power FMCW Radar Integrated Sensor System with Multiple Feature Fusion by Haili Wang, Muye Zhang, Linghao Zhang, Xiaoxiao Zhu, Qixin Cao

“…Innovations include dynamic clutter suppression and multi-path cancellation optimized for complex clinical environments. Experimental validation demonstrates high performance, achieving 98% detection recall and 93.87% classification accuracy under LOSO cross-validation. …”
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Rethinking Safety-by-Design and Techno-Solutionism for the Regulation of Child Sexual Abuse Material by Andrew Murray, Mark Leiser

“…In cases where these measures fail, a detection order can be issued, requiring platforms to deploy technical measures, including AI, to scan all communications. …”
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A YOLOv8n-T and ByteTrack-Based Dual-Area Tracking and Counting Method for Cucumber Flowers by Liyang Su, Shujuan Zhang, Hongtu Zhang, Xiangsen Meng, Xiongkui He

“…Accurate counting of cucumber flowers using intelligent algorithms to monitor their sex ratio is essential for intelligent facility agriculture management. However, complex greenhouse environments impose higher demands on the precision and efficiency of counting algorithms. …”
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Comprehensive Monitoring Method for Diaphragm Wall Deformation Combining Distributed and Point Monitoring in Key Areas by Chun Lan, Hui Zhang, Guangqing Hu, Feng Han, Heming Han

“…The results demonstrated that the hybrid approach effectively captures the overall deformation distribution of the diaphragm wall while enabling real-time monitoring of key areas, including the detection of crack initiation and propagation. The proposed method offers a significant advancement in deformation monitoring, providing enhanced accuracy, spatial coverage, and the ability to detect both macro-scale trends and micro-scale anomalies, which is particularly beneficial for complex underground structures.…”
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The Optimal Acoustic Measurement Point Selection for UHV Reactors in Substations Based on Equivalent Impedance and Information Entropy Theory by Yingwen Li, Zhen Wei, Huilian Liao, Lin Li, Peizhong Zhang, Jingyun Zhao

“…Finally, the model accurately reconstructed and simulated the near-field of the parallel reactor, and achieved quantitative evaluation of the optimal voiceprint detection position. The results indicate the high accuracy and reliability of the sound field reconstruction model, significantly improving computational efficiency, and the measurement point can fully characterize the acoustic properties of the reactor. …”
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On-site Determination of Lithium in Hot Spring Water by Portable Li-K Analyzer by Xiao LIU, Xiuchun ZHAN

“…However, hot springs are mainly distributed in remote areas such as Xizang and Yunnan, where the cost of sample transportation and laboratory testing is high and the efficiency is low, so the exploration of lithium resources urgently needs the support of on-site analysis technology. …”
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Research on Coordinated Oscillation Control Strategy of AC/DC Hybrid Distribution Network Based on Mixed-Integer Linear Programming by Shumin Sun, Peng Yu, Jiawei Xing, Yuejiao Wang, Song Yang

“…In addition, when simulating a single-phase fault, compared with the case without this method, this method can locate the fault area more accurately and significantly improve the reliability of fault detection. The significance of this study is to provide an effective mathematical model and control strategy to deal with the complex dynamic behavior of AC-DC hybrid distribution network. …”
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Cotton Weed-YOLO: A Lightweight and Highly Accurate Cotton Weed Identification Model for Precision Agriculture by Jinghuan Hu, He Gong, Shijun Li, Ye Mu, Ying Guo, Yu Sun, Tianli Hu, Yu Bao

“…In this paper, a novel weed recognition model, Cotton Weed-YOLO, is proposed to improve the accuracy and efficiency of weed detection. CW-YOLO is based on YOLOv8 and introduces a dual-branch structure combining a Vision Transformer and a Convolutional Neural Network to address the problems of the small receptive field of the CNN and the high computational complexity of the transformer. …”
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Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

“…This design choice results in a more streamlined and efficient architecture. Our experimental results reveal an accuracy of 78.9%, which, while slightly lower than the performance of conventional CNN models, underscores the potential of RNN layers in crack detection tasks. …”
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