Facial recognition targeted attack algorithm based on multiscale frequency decomposition and meta-learning by CAI Jun, HUANG Tianqiang, ZHENG Aokun, YE Feng, XU Chao

“…The meta-learning attack module enabled precise makeup processing, by which the target face's features were embedded into the makeup to create adversarial makeup images. …”
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AI-Driven Global Disaster Intelligence from News Media by Fahim Sufi, Musleh Alsulami

“…Traditional OSDI frameworks often rely on social media data, which are susceptible to misinformation and credibility issues. This study proposes a novel AI-driven framework utilizing automated data collection from 444 large-scale online news portals, including CNN, BBC, CBS News, and The Guardian, to enhance data reliability. …”
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Stunning from sains and Islamic perspective by Fiki Husna

“…In the implementation process, RPH must pay attention to several aspects so that the quality of the meat produced is good, clean and the meat is halal. …”
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Sintered metal alloy and composite as bonding materials for electronics applications by W.J. Wang, Anuttam Patra, Ling Xin Yong, Xu Long, Qiang Jia, Lu Shen, K.S. Siow

“…Sintered copper (Cu), a cheaper alternative, is limited by its oxidation susceptibility. To overcome these issues, recent research explores the combination of Ag- and Cu-based sintering to leverage the benefits of both metals. …”
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Iran petroleum contract (IPC) - a new generation of oil contracts by F. Hadavimoghaddam, M. M. Gortani

“…The key problems are systematized, related to the previous buy-back regime, which are either concealed in the new contract model, or information is insufficient for complete comprehension of the supposed risk distribution, such as the issues of buyback, commercialization, management, etc. …”
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Few-shot biomedical NER empowered by LLMs-assisted data augmentation and multi-scale feature extraction by Di Zhao, Wenxuan Mu, Xiangxing Jia, Shuang Liu, Yonghe Chu, Jiana Meng, Hongfei Lin

“…Abstract Named Entity Recognition (NER) is a fundamental task in processing biomedical text. Due to the limited availability of labeled data, researchers have investigated few-shot learning methods to tackle this challenge. …”
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Edge-Based Dynamic Spatiotemporal Data Fusion on Smart Buoys for Intelligent Surveillance of Inland Waterways by Ruolan Zhang, Chenhui Zhao, Yu Liang, Jingfeng Hu, Mingyang Pan

“…This study addresses the challenge of real-time processing and synchronization of voluminous video and AIS data for effective waterway management. …”
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Revocable Attribute-Based Encryption with Efficient and Secure Verification in Smart Health Systems by Zhou Chen, Lidong Han, Baokun Hu

“…However, most existing schemes have two vital issues. First, in order to achieve the verifiable function, they need to execute the secret sharing operation twice during the encryption process, which significantly increases the computational overhead. …”
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A Systematic Survey of Machine Learning and Deep Learning Models Used in Industrial Internet of Things Security by Ersin Enes Eryılmaz, Erdal Kılıç, Yankı Ertek, Sedat Akleylek

“…IIoT consists of sophisticated analysis and processing structures that handle data generated by internet-connected machines. …”
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THE RESEARCH ACTIVITY OF THE UNIVERSITY TEACHERS: DIRECTIONS, RESULTS, AND PROSPECTS. SOCIOLOGICAL CONTENT by I. A. Vasilyev

“…This approach can be used while studying the issues of pragmatic use of the main directions of research activity results in higher education in various fields. …”
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Secure edge-based smart grid communication using lightweight authentication modeling with autoencoders and real-world data by Omar Abdullah Saleh, Mesut Cevik

“…Abstract The growing use of edge computing in intelligent grids presents security issues as a result of the limited processing capabilities of edge devices and the intensifying complexities of cyberattacks. …”
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Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey by Muhammad Arif, Juan Augusto Maya, Narendiran Anandan, Dailys Arronde Perez, Andrea M. Tonello, Hubert Zangl, Bernhard Rinner

“…This survey comprehensively analyzes resource optimization techniques for USNs along three USN layers: the sensing, the communication & connectivity, and the processing & analysis layer. It discusses the application of these techniques in the smart agriculture domain and identifies current challenges and open research issues.…”
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A review on recent progress of refractory high entropy alloys: From fundamental research to engineering applications by Longchao Zhuo, Yixing Xie, Bingqing Chen

“…By systematically analyzing 253 publications since 2022, this review presents a panoramic overview of the current research status in the field of RHEAs, covering aspects from alloy design, microstructure, processing techniques, mechanical behavior, to physicochemical properties. …”
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Navigating the fungal battlefield: cysteine-rich antifungal proteins and peptides from Eurotiales by Jeanett Holzknecht, Florentine Marx

“…In this review, we discuss important aspects related to fungi, their impact on our life and issues involved in treating fungal infections in plants, animals and humans. …”
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A Deep Learning-Based Method for Detection of Multiple Maneuvering Targets and Parameter Estimation by Beiming Yan, Yong Li, Qianlan Kou, Ren Chen, Zerong Ren, Wei Cheng, Limeng Dong, Longyuan Luan

“…Additionally, a convolutional neural network (CNN) is employed to address issues of spectral overlap in multi-target FrFT processing, further improving resolution and detection performance. …”
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Defect Identification and Diagnosis for Distribution Network Electrical Equipment Based on Fused Image and Voiceprint Joint Perception by An Chen, Junle Liu, Silin Liu, Jinchao Fan, Bin Liao

“…Baseline 1 is a long short term memory (LSTM)-based algorithm that performs separate feature extraction and processing for image and voiceprint signals without coupling the features of the two modalities, and Baseline 2 is a traditional CNN algorithm that uses classical convolutional layers for feature learning and classification through pooling and fully connected layers. …”
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A Style Transfer Method for Chinese Landscape Painting Based on Detail Feature Extraction and Fusion by Jinghao HU, Guohua GENG, Meijun XIONG, Siyi LI, Yuhe ZHANG

“…The visual transformer model provides a new solution for image processing tasks, but its training requires a large amount of data and involves significant computational complexity. …”
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Speed up integer-arithmetic-only inference via bit-shifting by Mingjun Song, Yiming Zhou, Mengmeng Song, Sujie Liu, Shungen Xiao, Youshun Zheng

“…They suffer from significant accuracy loss and the multipliers in element-wise layers are not constrained to be power-of-2. These issues limit the utilization of hardware resources. …”
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Volleyball technical action recognition based on CNN-LSTM by Zhigang Zhang, Yong Tian, Jinchong Qi

“…Next, a long short-term memory network is used to process time-series data and capture the spatiotemporal changes in volleyball technique movements. …”
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Normalized impulse response testing in underground constructions monitoring by Aleksei A. Churkin, Vladimir V. Kapustin, Mikhail S. Pleshko

“…Novel approach to data processing based on normalized response attributes analysis is presented. …”
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