Lightweight Photo-Response Non-Uniformity Fingerprint Extraction Algorithm Based on an Invertible Denoising Network by Zihang Yuan, Yanhui Xiao, Huawei Tian

“…Experimental results show that this algorithm exhibits superior PRNU fingerprint extraction performance and generalization ability compared to the state-of-the-art PRNU fingerprint extraction algorithms.…”
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Improved Density Peaks Clustering Based on Natural Neighbor Expanded Group by Lin Ding, Weihong Xu, Yuantao Chen

“…We compared the state of the art with our proposal in public datasets, including several complex and real datasets. …”
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Local-non-local complementary learning network for 3D point cloud analysis by Ning Ye, Kaihao Feng, Sen Lin

“…Extensive experiments on benchmark datasets, including ModelNet40, ScanObjectNN, and ShapeNet Part, demonstrate the superiority of our approach in both quantitative and qualitative metrics, achieving state-of-the-art performance in classification and segmentation tasks.…”
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DEVELOPMENT OF COMMUNICATIVE COMPETENCES IN STUDENTS BY TRAINING PROGRAMS by A. V. Lazareva

“…In the training program the following methods were involved: discussion (braistorming, case study, method of synectics), role plays, business role plays, art-therapy and metaforization of the accumulated experience. …”
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Gerenciamento de resultados no Brasil: um survey da literatura by Antonio Lopo Martinez

“…A maioria dos estudos brasileiros no assunto foi publicada nos últimos dez anos e a produção científica tem se acelerado recentemente, o que torna oportuno uma reflexão sobre o estado da arte, esboçando a evolução do conhecimento e caminhos a serem trilhados no futuro.…”
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Multi-Indices Quantification for Left Ventricle via DenseNet and GRU-Based Encoder-Decoder with Attention by Zhi Liu, Yunhua Lu, Xiaochuan Zhang, Sen Wang, Shuo Li, Bo Chen

“…Compared with the state-of-the-art (SOTA), our method can not only produce more competitive results but also be more flexible. …”
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Optimizing Neuropsychological Assessments for Cognitive, Behavioral, and Functional Impairment Classification: A Machine Learning Study by Petronilla Battista, Christian Salvatore, Isabella Castiglioni

“…We investigated the role of twelve state-of-the-art neuropsychological tests in the automatic classification of subjects with none, mild, or severe impairment as measured by the clinical dementia rating (CDR). …”
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DIGITAL STORYTELLING AS A POST–LISTENING ACTIVITY IN TEACHING NARRATIVE TEXT TO THE 5 GRADE STUDENTS: THE IMPLEMENTATION AND STUDENTS’ RESPONSES by Rizky Sulvika Puspa Rinda, Dyah Palupi Saraswati

“…Digital Storytelling is a modern form of the storytelling art. The implementation of digital storytelling is expected to provide an alternative classroom activity in teaching listening and help the students in understanding a text as well as learning the value, particularly in narrative text. …”
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A comprehensive survey of scoring functions for protein docking models by Azam Shirali, Vitalii Stebliankin, Ukesh Karki, Jimeng Shi, Prem Chapagain, Giri Narasimhan

“…Results In this study, we perform a comprehensive survey of the state-of-the-art scoring functions by considering the most popular and highly performant approaches, both classical and deep learning-based, for scoring protein-protein complexes. …”
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Multiscale Receptive Fields Graph Attention Network for Point Cloud Classification by Xi-An Li, Li-Yan Wang, Jian Lu

“…The proposed MRFGAT architecture is tested on ModelNet datasets, and results show it achieves state-of-the-art performance in shape classification tasks, such as it outperforms GAPNet (Chen et al.) model by 0.1% in terms of OA and compete with DGCNN (Wang et al.) model in terms of MA.…”
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Global perspectives on the biodegradation of LDPE in agricultural systems by Jani E. Mendoza, Daniel Tineo, Beimer Chuquibala-Checan, Nilton Atalaya-Marin, Victor H. Taboada-Mitma, Josué Tafur-Culqui, Ever Tarrillo, Darwin Gómez-Fernández, Malluri Goñas, María Andrea Reyes-Reyes, María Andrea Reyes-Reyes

“…The studies reviewed include recent data and the methodologies used include state-of-the-art technologies and others that have been used for decades, to monitor and measure the degree of biodegradation that each treatment applied can have, including SEM, GCMS, HPLC, and microscopy. …”
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Applications of ultrafast nano-spectroscopy and nano-imaging with tip-based microscopy by Zhichen Zhao, Vasily Kravtsov, Zerui Wang, Zhou Zhou, Linyuan Dou, Di Huang, Zhanshan Wang, Xinbin Cheng, Markus B. Raschke, Tao Jiang

“…This review focuses on the working principles and state-of-the-art development of ultrafast tip-enhanced and near-field microscopy, integrating diverse optical pump-probe methods across the terahertz (THz) to ultraviolet (UV) spectral ranges. …”
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An Efficient Genome Fragment Assembling Using GA with Neighborhood Aware Fitness Function by Satoko Kikuchi, Goutam Chakraborty

“…To decode a long genome sequence, shotgun sequencing is the state-of-the-art technique. It needs to properly sequence a very large number, sometimes as large as millions, of short partially readable strings (fragments). …”
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Applying Fourier Neural Operator to insect wingbeat sound classification: Introducing CF-ResNet-1D by Béla J. Szekeres, Máté Natabara Gyöngyössy, János Botzheim

“…Our findings demonstrate that CF-ResNet-1D significantly outperforms traditional spectrogram-based models in classifying insect wingbeat sounds, achieving state-of-the-art accuracy.…”
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Predictive Differential Game Guidance Approach for Hypersonic Target Interception Based on CQPSO by Fan He, Weiyi Chen, Yang Bao

“…Moreover, the performance of the algorithm is validated comparing with traditional and state-of-the-art guidance laws.…”
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Inclined Aerial Image and Satellite Image Matching Based on Edge Curve Direction Angle Features by Hao Wang, Chongyang Liu, Yalin Ding, Chao Sun, Guoqin Yuan, Hongwen Zhang

“…Experiments run on a variety of remote sensing datasets including forests, hills, farmland, and lake scenes demonstrate that the effectiveness of the proposed algorithm shows a great improvement over existing state-of-the-art algorithms.…”
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Translating French Drama for English Audiences: Adolphe Belot’s L’Article 47 by Barbara T. Cooper

“…So reads the opening sentence of the anonymous review published in The Saturday Review of Politics, Literature, Science and Art (Mar 3, 1877). Invoked by an American woman of colour abandoned by the French lover who had promised to marry her upon their arrival in France, the French law mentioned in the play’s original title serves to complicate a story of passions and punishment that takes place over a period of years. …”
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DeepRD:LSTM-based Siamese network for Android repackaged applications detection by Run WANG, Benxiao TANG, Li’na WANG

“…The state-of-art techniques in Android repackaging detection relied on experts to define features,however,these techniques were not only labor-intensive and time-consuming,but also the features were easily guessed by attackers.Moreover,the feature representation of applications which defined by experts cannot perform well to the common types of repackaging detection,which caused a high false negative rate in the real detection scenario.A deep learning-based repackaged applications detection approach was proposed to learn the program semantic features automatically for addressing the above two issues.Firstly,control and data flow analysis were taken for applications to form a sequence feature representation.Secondly,the sequence features were transformed into vectors based on word embedding model to train a Siamese LSTM network for automatically program feature learning.Finally,repackaged applications were detected based on the similarity measurement of learned program features.Experimental results show that the proposed approach achieves a precision of 95.7% and false negative rate of 6.2% in an open sourced dataset AndroZoo.…”
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SecEdge: A novel deep learning framework for real-time cybersecurity in mobile IoT environments by Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, Ali Nawaz, Muhammad Yasar Khan, Ayman Altameem

“…Results demonstrated that SecEdge outperformed state-of-the-art methods with a detection rate of 98.8% for DoS attacks on NSL-KDD, 98.5% for MitM attacks on UNSW-NB15, and 98.7% for data injection attacks on CICIDS2017.…”
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Ultra-low-power media access control protocol based on clock drift characteristics in wireless sensor networks by Wooguil Pak

“…Finally, through extensive performance evaluations in a testbed, WideMAC confirmed that it can significantly outperform existing state-of-the-art protocols.…”
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