Strategies and Challenges for Unmanned Aerial Vehicle-Based Continuous Inspection and Predictive Maintenance of Solar Modules by Ghulam E. Mustafa Abro, Amjad Ali, Sufyan Ali Memon, Tayab Din Memon, Faheem Khan

“…With the fast expansion of large-scale solar farms, the necessity for efficient and dependable maintenance and monitoring of solar modules has grown significantly. …”
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Optimizing additive manufacturing workflows using model-based systems engineering by Mohamed Amine Daoud, Khadija Bekkay Haouari, Meriem Hayani Mechkouri, Amine Ennawaoui, Hicham El hadraoui, Ilias Naser, Mustapha Ouardouz, Kamal Reklaoui

“…Additive Manufacturing (AM) is a transformative technology enabling the production of complex geometries with reduced waste and lead times. …”
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Development of a method for automated 5G and beyond network slices penetration testing by Roman Odarchenko, Maksim Iavich, Alla Pinchuk

“…The following results were obtained: 1) the new method for automated 5G and beyond network slices penetration testing was developed, leveraging Genetic Algorithms to optimize attack strategies; 2) a software tool for automating penetration testing was implemented, enabling efficient detection of critical and high-severity vulnerabilities and simulating attacks in a complex 5G network environment; 3) a test network architecture was created for experimentation, enabling a controlled evaluation of the methodology; 4) the experimental results demonstrated the effectiveness and operability of the proposed method. …”
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Spectrophotometric Determination of N-Acetyl-L-Cysteine and N-(2-Mercaptopropionyl)-Glycine in Pharmaceutical Preparations by Lea Kukoc-Modun, Njegomir Radić

“…Regression analysis of the calibration data showed a good correlation coefficient (0.9999). The detection limit of the method was 0.14 μM for NAC and 0.13 μM for MPG. …”
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Integration of acoustic, optical, and electrical methods in picoliter droplet microfluidics for rare particles enrichment by Huasheng Zhuo, Chunhua He, Canfeng Yang, Xian Jiang, Fan Li, Xiangliang Yang, Hai Yang, Tuying Yong, Zhiyong Liu, Yan Ma, Lei Nie, Guanglan Liao, Tielin Shi

“…Traditional enrichment methods encounter obstacles such as low efficiency, high cost, and complexity. Acoustic focusing, optical fiber detection, and electrical manipulation have shown potential in microfluidics for particle manipulation and analysis. …”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…But in practice, it is difficult to achieve both optimal detection accuracy and computational efficiency simultaneously due to limited computing resources. …”
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Chip-Scale Aptamer Sandwich Assay Using Optical Waveguide-Assisted Surface-Enhanced Raman Spectroscopy by Megan Makela, Dandan Tu, Zhihai Lin, Gerard Coté, Pao Tai Lin

“…The observed Raman spectral features were identified and assigned to the complex vibrational modes associated with different reporters. …”
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Optimization Techniques for Verification of Out-of-Order Execution Machines by Sudarshan K. Srinivasan

“…Refinement is a notion of equivalence that can be used to check that an ooo processor correctly implements all behaviors of its instruction set architecture (ISA), including deadlock detection. The optimization techniques work by reducing the computational complexity of the refinement map, a function central to refinement proofs that maps ooo processor model states to ISA states. …”
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Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications by Jing Yang, Yabo Guo, Xinying Guo, Pengpeng Wang

“…Beyond communication capabilities, these systems offer inherent advantages for integrated sensing applications, particularly in scenarios requiring precise object detection and localization. The sparse mmWave channel in the beamspace domain allows fewer radio-frequency (RF) chains by selecting dominant beams, boosting both communication efficiency and sensing resolution. …”
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Absolute quantification of Neuron-specific enolase based on surface plasmon resonance by Cui Lin, Yijie Wang, Tao Peng, Pengpeng Liu, Yuanyuan Liang, Wencheng Kang, Xiaoping Yu, Yang Song, Xuping Shentu

“…However, traditional methods suffer from various disadvantages, including instability, complexity, time-consuming operations, and the necessity for standards. …”
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Nonlocal flat optics for size-selective image processing and denoising by Sandeep Kumar Chamoli, Chunqi Jin, Yandong Fan, Mehdi Kiani, Heedong Goh, Chen Huang, Shuyu Guo, Yuntong Wang, Fei Zhu, Guohua Xing, Bo Li, Tian Bai, Andrea Alù, Wei Li

“…So far, the proposed devices have been focusing on canonical operations, such as differentiations to perform edge detection across all objects in a complex scene. Yet, undesired background noise and clutter can hinder such operations, requiring target selection with digital post-processing which inherently limits the overall accuracy, efficiency and speed. …”
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Sustainable Transmitters for High-Capacity Metro-Access Networks by Stefano Gaiani, Alberto Gatto, Paola Parolari, Pierpaolo Boffi

“…The proposed VCSEL-based DM scheme appears to offer an excellent trade-off between performance and implementation complexity, supporting high throughput, high spectral efficiency, thanks to SSB-DMT modulation.…”
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Integrating type-2 fuzzy logic controllers with digital twin and neural networks for advanced hydropower system management by Yali Zeng, Zahraa Abed Hussein, Mustafa Habeeb Chyad, Amirfarhad farhadi, Jianyong Yu, Hesam Rahbarimagham

“…Specifically, the hybrid system achieved a 10.96% increase in load management efficiency and a 12.64% reduction in fault detection time compared to traditional methods. …”
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Accumulation of 137Cs and 90Sr radionuclides by dominants and co-dominants of birch-pine forest communities in Northern Ukraine by Lukash O, Tkaczenko H, Yakovenko O, Szikura A, Kurhaluk N

“…For 90Sr, the negative β coefficient implies that certain area types are associated with lower Sr accumulation, while for 137Cs the effect of area type may be more complex or context-dependent. …”
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Design of a parallel Helmholtz resonator structure as a hazardous greenhouse gases sensor using the transfer matrix method by Ilyas Antraoui, Ahlem Guesmi, Mohamed El Malki, Naoufel Ben Hamadi, Wesam Abd El-Fattah, Ali Khettabi, Zaky A. Zaky

“…These findings confirm the sensor’s potential for accurate, efficient gas detection relevant to respiratory health, offering significant advantages over conventional, more complex systems.…”
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Advanced Cancer Classification Using AI and Pattern Recognition Techniques by Haddou Bouazza Sara, Haddou Bouazza Jihad

“…Accurate cancer classification is essential for early detection and effective treatment, yet the complexity of gene expression presents significant challenges. …”
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Diagnosis of Localized Faults in Multistage Gearboxes: A Vibrational Approach by Means of Automatic EMD-Based Algorithm by M. Buzzoni, E. Mucchi, G. D’Elia, G. Dalpiaz

“…The physical meaningful modes are selected by means of a criterion based on Pearson’s coefficients and the fault detection is performed by dedicated condition indicators. …”
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CrossModalSync: joint temporal-spatial fusion for semantic scene segmentation in large-scale scenes by Shuyi Tan, Yi Zhang, Yan Li, Byeong-Seok Shin

“…However, in complex, dynamic scenes, cumulative errors and the “many-to-one” mapping problem are challenges for existing semantic segmentation methods, which further limit their accuracy and efficiency. …”
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Assessing AI-Based Software’s Precision in Identifying Oral Lesions from Radiographs by Hamzah Ali Babkair, Mohammed Enamur Rashid, Abedalla Abdelghani, Tarek M. Ibrahim, Mohammad Khursheed Alam

“…The AI software performed better in detecting small lesions (accuracy: 88%) but was slightly less accurate for complex cases such as mixed radiolucent and radiopaque lesions (accuracy: 86%). …”
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Spatio-Temporal Fusion of Landsat and MODIS Data for Monitoring of High-Intensity Fire Traces in Karst Landscapes: A Case Study in China by Xiaodong Zhang, Jingyi Zhao, Guanzhou Chen, Tong Wang, Qing Wang, Kui Wang, Tingxuan Miao

“…This study advances fire monitoring in karst regions by significantly improving both the spatio-temporal resolution and accuracy of burn scar detection compared to conventional approaches. The framework provides a viable solution for fire impact assessment in topographically complex landscapes under cloudy conditions.…”
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