A Robotic grinding station based on an industrial manipulator and vision system. by Guoyang Wan, Guofeng Wang, Yunsheng Fan

“…The measurements indicate that this system can work stably and efficiently, and the experimental results demonstrate the high accuracy and high efficiency of the proposed method. …”
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Addressing data scarcity in speech emotion recognition: A comprehensive review by Samuel Kakuba, Dong Seog Han

“…These signals encode complex relationships between features at multiple time scales, effectively reflecting a speaker’s emotional state. …”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

“…To demonstrate the efficiency of the proposed hybrid method, several experiments are performed on several texture databases. …”
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Well Testing of Fracture Corridors in Naturally Fractured Reservoirs for an Improved Recovery Strategy by Yingying Guo, Andrew Wojtanowicz

“…Among them, corridor-type NFRs, characterized by discrete fracture corridors, exhibit complex flow behavior that challenges conventional development strategies and reduces recovery efficiency. …”
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Prevention of Bankruptcy of Industrial Enterprises and Organizations with State Participation by E. V. Gavrilin, S. V. Khetagurov

“…There had been used the formal legal method in the paper, methods of complex and interdisciplinary analysis, as well as General scientific methods, including the dialectical method and the method of system analysis. …”
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A Comprehensive Review of Analytical Approaches for Carotenoids Assessment in Plant-Based Foods: Advances, Applications, and Future Directions by Marcin A. Kurek, Havva Aktaş, Patryk Pokorski, Ewelina Pogorzelska-Nowicka, Jorge A. Custodio-Mendoza

“…Accurate quantification of these pigments is critical for food science, nutrition, and health research, yet their analysis remains challenging due to structural complexity, susceptibility to degradation, and matrix interferences. …”
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Robust Radio Frequency Fingerprinting With Signal Denoising and Stacked Multivariate Ensemble Learning for Secure Wireless Communications by Syed Usman Ali Shah, Muhammad Usama Zahid, Syed Abuzar H Shah, Saeed Ur Rehman, Dan Komosny

“…Radio Frequency Fingerprinting (RFF) has gained significant attention in wireless communication and security research due to its potential for device authentication and intrusion detection. While deep learning-based approaches have shown promising results, existing methods suffer from critical limitations: high computational complexity hinders real-time deployment on resource-constrained hardware, poor robustness under low Signal-to-Noise Ratio (SNR) conditions, and inadequate generalization across different datasets. …”
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A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement by Yongho Jeong, Taeuk Noh, Yonghak Lee, Seonjae Lee, Kwangil Choi, Sujin Jeong, Sunghwan Kim

“…This research, however, utilizes 3D depth information to enhance both accuracy and efficiency. By employing HRNet-based keypoint detection and transfer learning through deep learning, the precise locations of body parts are identified and combined with depth maps to automatically calculate body circumferences. …”
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Epitope-imprinted biomaterials with tailor-made molecular targeting for biomedical applications by Youlu Diao, Jia Gao, Yue Ma, Guoqing Pan

“…Additionally, we discuss the application of epitope-imprinted materials in the recognition and detection of peptides, proteins, and cells. Despite these advancements, challenges such as template complexity, imprinting efficiency, and scalability remain. …”
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Proactive Complaint Management in Public Sector Informatics Using AI: A Semantic Pattern Recognition Framework by Marco Esperança, Diogo Freitas, Pedro V. Paixão, Tomás A. Marcos, Rafael A. Martins, João C. Ferreira

“…The digital transformation of public services has led to a surge in the volume and complexity of informatics-related complaints, often marked by ambiguous language, inconsistent terminology, and fragmented reporting. …”
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RED-Net: A Neural Network for 3D Thyroid Segmentation in Chest CT Using Residual and Dilated Convolutions for Measuring Thyroid Volume by Min-Ji Kim, Jin-A Kim, Naae Kim, Yul Hwangbo, Hyun Jeong Jeon, Dong-Hwa Lee, Ji Eun Oh

“…The results showed that it achieved state-of-the-art performance with a Dice similarity coefficient of 0.8901.…”
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Multi-material 3D printed smart floor tiles with triboelectric energy generation and security monitoring by Shidhin Mappoli, Kalyan Ghosh, Martin Pumera

“…The MMP-TENG is integrated with electronics to showcase its capability for remote monitoring in smart home settings to detect real-time fall detection and security monitoring. …”
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RAPID: Redundancy Analysis With Parallelized and Intelligent Distribution by Younwoo Yoo, Hayoung Lee, Seung Ho Shin, Sungho Kang

“…In modern memory architectures, complex spare structures are essential for improving repair rates. …”
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GPU Ray Tracing for the Analysis of Light Deflection in Inhomogeneous Refractive Index Fields of Hot Tailored Forming Components by Pascal Kern, Max Brower-Rabinowitsch, Lennart Hinz, Markus Kästner, Eduard Reithmeier

“…Although hybrid components are key to meeting modern technical requirements and saving resources, they exhibit complex shrinkage behavior due to differing thermal expansion coefficients. …”
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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…A contrast enhancement filter is applied to highlight key features, thereby improving the model’s learning and fault detection capability. The enhanced images are fed into a modified AlexNet model with three residual blocks to efficiently extract both spatial and temporal features from the CWT images. …”
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Design of a reliable and coordinated protection strategy for zonal shipboard power systems by Mehdi Mohammadzamani, Iman Sadeghkhani, Majid Moazzami

“…However, the protection of such systems is a challenging task due to their complex topology and the potential for multiple sources of fault. …”
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Hardware Trojan vulnerability assessment in digital integrated circuits using learnable classifiers by Hadi Jahanirad, Mohammad Fathi

“…The wide range of HT types and related insertion strategies makes the HT detection process very complex. Consequently, developing IC design methodologies that are robust against HT insertion would be of great merit. …”
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Enhancing Road Scene Segmentation With an Optimized DeepLabV3+ by Zhe Ren, Libao Wang, Tianming Song, Yihang Li, Jian Zhang, Fengfeng Zhao

“…These experimental results demonstrate a significant improvement in balancing detection capabilities with real-time performance.…”
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Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning by Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń

“…The results demonstrate that optimized feature sets, paired with SVM classifiers, achieve classification performance comparable to those of CNNs while significantly reducing computational complexity. This finding underscores the potential of feature reduction techniques in creating efficient diagnostic frameworks. …”
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Critical Role of Surface Properties in Passive Interstitial Fluid Extraction Using Polymeric Hollow Microneedles for Wearable Diagnostics by Ipek Atay, Emel Yilgör, Gürdeniz Neşer, Taher Abbasiasl, M. Baris Yagci, Iskender Yilgör, Levent Beker

“…Abstract Efficient sampling of dermal interstitial fluid (ISF) is essential for continuous monitoring of biomarkers for early detection and management of chronic diseases. …”
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