Ultrahigh Resolution X‐Ray Imaging With Thin‐Film Scintillators Based on Aggregation‐Induced Delayed Fluorescence Luminogens by Hongyun Wang, Qisheng Sun, Fangxu Yang, Zheyang Li, Lingjie Sun, Xiaotao Zhang, Zujin Zhao, Wenping Hu

“…ABSTRACT Flexible thin‐film scintillators based on organic semiconductors offer transformative potential for X‐ray imaging, enabling conformity to nonplanar objects and compatibility with complex structural applications. However, challenges in synergizing high solid‐state luminescence, X‐ray absorption, and efficient exciton utilization have become the bottleneck limiting their application in high‐resolution imaging. …”
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Towards an automatized and objective assessment of data from visual inspections of building envelopes by Jan Mandinec, Pär Johansson

“…These make the decisions upon what and when to renovate a complex and ambiguous problem. Selection of renovation measures related to building envelope are often far from optimal as decisions are usually made based on visual inspections. …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…It can effectively improve the efficiency and quality of fruit picking. Automatic picking equipment combined with computer vision often uses object detection algorithms to identify objects, and object detection algorithms can be divided into both traditional algorithms and deep learning-based object detection algorithms. …”
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Smart 3D-printed facades: a review of innovations, materials, and sustainable performance by Dan-Radu Baraboi, Luminița Maria Scutaru, George Dragomir, Alin Ionuț Brezeanu, Răzvan Calotă, Mihaela Pavel, Gabriel Năstase

“…The selection of sustainable and high-performance materials is crucial for optimizing energy efficiency, durability, and environmental impact. …”
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EVALUATION OF PRODUCT QUALITY: INDICATORS AND METHODS by Svitlana Gutkevych, Yurii Safonov, Oleh Holovko

“…The article evaluates the effectiveness and efficiency of product quality management based on market, financial, social, and other factors. …”
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A Literature Review on Security in the Internet of Things: Identifying and Analysing Critical Categories by Hannelore Sebestyen, Daniela Elena Popescu, Rodica Doina Zmaranda

“…Given the diversity of such systems, selecting the most appropriate solutions and technologies to address the challenges is a complex activity. …”
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MRA-YOLOv8: A Network Enhancing Feature Extraction Ability for Photovoltaic Cell Defects by Nannan Wang, Siqi Huang, Xiangpeng Liu, Zhining Wang, Yi Liu, Zhe Gao

“…To address the challenges posed by complex backgrounds and the low occurrence in photovoltaic cell images captured by industrial sensors, we propose a novel defect detection method: MRA-YOLOv8. …”
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Wind Turbine Blade Defect Recognition Method Based on Large-Vision-Model Transfer Learning by Xin Li, Jinghe Tian, Xinfu Pang, Li Shen, Haibo Li, Zedong Zheng

“…Timely and accurate detection of wind turbine blade surface defects is crucial for ensuring operational safety and improving maintenance efficiency with respect to large-scale wind farms. …”
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Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

“…Deep learning (DL) aids in accurately classifying complex malware features. The cross-domain research in data fusion strives to integrate information from multiple sources to augment reliability and minimize errors in detecting sophisticated cyber threats. …”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…Addressing these concerns is critical for enhancing the overall safety and efficiency of autonomous systems navigating complex traffic environments. …”
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The Effect of SLM Spreader Structures on the Powder Spreading Dynamics Mechanism of Diamond Tools by HUANG Guoqin, ZHANG Jiangtao, ZHU Xiaowei, XU Yangli, SUN Long, DU Yulong, ZHANG Yunhe

“…ObjectiveSelective laser melting (SLM)technology provides a new approach for the integratedmanufacture of metal-matrix diamond tools with structural and functional integration, which has drawn alot of interest from the academic and technicalcommunities. …”
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Abnormality-aware multimodal learning for WSI classification by Thao M. Dang, Qifeng Zhou, Yuzhi Guo, Hehuan Ma, Saiyang Na, Thao Bich Dang, Jean Gao, Junzhou Huang

“…AAMM incorporates a Gaussian Mixture Variational Autoencoder (GMVAE) to identify and select the most informative patches, reducing computational complexity while retaining critical diagnostic information. …”
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A machine learning-based screening model for the early detection of prostate cancer developed using serum microRNA data from a mixed cohort of 8,741 participants by Cong Lai, Zhensheng Hu, Zhuohang Li, Zhikai Wu, Kuiqing Li, Lin Li, Hongze Liu, Juanyi Shi, Yi Zhou, Kewei Xu, Cheng Liu

“…Conclusion Using the largest known sample size and the most complex mixed cohort, we have successfully devised efficient screening models for prostate cancer, namely PCa4miR and PCaSS. …”
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Liquid chromatography-mass spectrometric method for the simultaneous analysis of branched-chain amino acids and their ketoacids from dried blood spot as secondary analytes for the... by Arya Raveendran, Ashutosh Gupta, Leslie E. Lewis, Krishnananda Prabhu, Sudheer Moorkoth

“…Background: Maple syrup urine disease (MSUD) is an aminoacidopathy caused by a defective branched-chain alpha-ketoacid dehydrogenase complex, leading to the accumulation of branched-chain amino acids (BCAAs) and their respective keto acids (BCKAs). …”
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Machine Learning in Information and Communications Technology: A Survey by Elias Dritsas, Maria Trigka

“…Machine learning (ML) has emerged as a powerful tool, enabling more adaptive, efficient, and scalable systems in this field. This article presents a comprehensive survey on the application of ML techniques in ICT, covering key areas such as network optimization, resource allocation, anomaly detection, and security. …”
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Optical Frequency Comb-Based 256-QAM WDM Coherent System with Digital Signal Processing Algorithm by Babar Ali, Ghulam Murtaza, Hafiz Muhammad Bilal, Tariq Mahmood, Muhammad Rashid, Zaib Ullah

“…Digital signal processing (DSP) techniques, including digital filtering, detection, and impairment compensation, contribute to high transmission and spectral efficiency (SE). …”
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Enhancing the Distinguishability of Minor Fluctuations in Time Series Classification Using Graph Representation: The MFSI-TSC Framework by He Nai, Chunlei Zhang, Xianjun Hu

“…Compared with ten benchmark methods, MFSI-TSC exhibits both high accuracy and computational efficiency, making it more suitable for deployment in sensor systems to complete incipient fault detection tasks.…”
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Spectrum Sensing Using Fast Slepian Transform for Cognitive Radio Networks by Aman Kumar, Indrasen Singh, Dilip Kumar Choudhary

“…Additionally, we introduce a computational efficiency metric based on floating-point operations (FLOPs) to evaluate the energy cost of detection. …”
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Optimization of Sorghum Spike Recognition Algorithm and Yield Estimation by Mengyao Han, Jian Gao, Cuiqing Wu, Qingliang Cui, Xiangyang Yuan, Shujin Qiu

“…By optimizing the full detection–tracking–yield pipeline, this solution overcomes challenges in small object missed detections, ID switches under occlusion, and real-time processing in complex scenarios. …”
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Wavelet transform algorithm of daily load graphs for choosing parameters of hybrid energy storage by O. V. Arkhipova, N. N. Dolgikh, S. Yu. Dolinger, V. Z. Kovalev, D. S. Osipov

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