Facial Recognition System Based on Genetic Algorithm Improved ROI-KNN Convolutional Neural Network by Xiao Wang, Yan Li

“…However, due to the short development time of the facial recognition system, the facial recognition system has the problem of low recognition accuracy when the recognized object is not cooperative. …”
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Domain Diversification Progressive Cross-Domain Weakly-Supervised Real-time Object Detection by LI Chengyan, ZHENG Qisen, WANG Hao

“…Aiming at the problems of large image translation bias at the pixel-level adaptation, the risk of source-bias discrimination at the feature-level adaptation, and the inability of weakly supervised learning to balance detection accuracy and real- time performance, a diversified domain shifter and pseudo bounding box generator are proposed to gradually adjust the pre-training model. …”
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Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

“…Firstly, Bi-directional Feature Pyramid Network (BiFPN) is used to strengthen feature fusion and improve the accuracy of small target recognition. …”
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Extrinsic vs intrinsic criticality in systems with many components by Vudtiwat Ngampruetikorn, Ilya Nemenman, David J. Schwab

“…We show that critical correlations, intrinsic or extrinsic, lead to diverging mutual information between two halves of the system, and are a feature of learning problems, in which the unobserved fluctuations are inferred from the observable degrees of freedom. …”
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Applying the Least Squares Approach to Solve Fredholm Fuzzy Fractional Integro-Differential Equations by Saif Aldeen M. Jameel, Sharmila karim, Ali Fareed Jameel

“…The results validation of FLSM is demonstrated by addressing two numerical problems as test examples that include FFIDE subject to initial conditions. …”
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Research on sinusoidal load identification method under structural natural frequency excitation based on LSTM-CNN by HE Wenbo, SUN Hanyu, XIE Jiang, ZHANG Xiaoqiang

“…This model combines the feature extraction capabilities of the convolutional neural network（CNN）with the long-term memory function of the long short-term memory network（LSTM）. …”
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DeepCNNMed: Enhancing Medicinal Plant Identification Through Deep Convolutional and Hybrid Neural Networks by Rajalakshmi Gurusamy, Parameswari Chandrasekaran, Yamuna Devi Manickam Malu, Madhusudhanan Sampath, Nesarani Abraham

“…It is well known that feature extraction and classification are impacted by RPNN + FCNN. …”
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Tensor-Based Uncoupled and Incomplete Multi-View Clustering by Yapeng Liu, Wei Guo, Weiyu Li, Jingfeng Su, Qianlong Zhou, Shanshan Yu

“…Specifically, the proposed method recovers missing samples in a low-dimensional feature space. Subsequently, the self-representation matrices are paired with the optimal views through permutation matrices. …”
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TRAJECTORIES OF DYNAMIC EQUILIBRIUM AND REPLICATOR DYNAMICS IN COORDINATION GAMES by Nikolay A. Krasovskii, Alexander M. Tarasyev

“…In such games, players receive large payoffs when choosing the same type of behavior. A special feature of a \(2\times2\) coordination game is the presence of three static Nash equilibria. …”
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Obesity and breast cancer by A. I.  Berishvili, A. G. Kedrova, T.  A. Greyan, O. V. Zaitseva

“…The paper presents an analysis of the latest literature data on the problem of obesity and breast cancer (BC). This review presents modern approaches to the diagnosis of BC in obese patients, new molecular methods of breast imaging,  analyzes the features of the course of BC with obesity depending on menstrual status, molecular biological subtypes of the tumor, the mechanisms of the development of BC against the background of obesity.…”
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RECURRENT OVARIAN GRANULOSA CELL TUMORS: DIAGNOSIS AND TREATMENT by A. M. Beishembayev, V. A. Khailenko, N. V. Lyubimova, Yu. G. Payanidi, O. A. Anurova, O. N. Streltsova, K. I. Zhordania

“…Thus, the problem of OGCT needs early diagnosis, monitoring, and treatment to be developed for patients with this type of tumors.…”
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A Decentralized Polling System Using Ethereum Technology by Samarth Shakya, Vivek Kapoor

“…This paper will lead to the problems faced by the traditional polling system and how the new technology will provide the solution to that problem. …”
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A narrative review of nosology and the concept of schizophrenia: criticism and proposal by Ricardo Abreu Feijo de Mello, Ary Gadelha, Larissa Leal Freitas, Vitoria Fernandes Sant’Ana, Marcelo Feijó Mello

“…The central proposition was to adopt psychotic syndrome as a core feature instead of the current concept of schizophrenia. …”
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Characterization of Aquifer Multiscale Properties by Generating Random Fractal Field with Truncated Power Variogram Model Using Karhunen–Loève Expansion by Liang Xue, Diao Li, Cheng Dai, Tongchao Nan

“…The latter provides a foundation to perform dimensionality reduction and saves computational effort when analyzing the stochastic flow and transport problems.…”
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Research on Quality Anomaly Recognition Method Based on Optimized Probabilistic Neural Network by Li-li Li, Kun Chen, Jian-min Gao, Hui Li

“…Principal component analysis (PCA) reduced the dimension and extracted the feature of the original data of a control chart, which reduced the training time of PNN. …”
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Convolutional neural networks and vision transformers for Plankton Classification by Loris Nanni, Alessandra Lumini, Leonardo Barcellona, Stefano Ghidoni

“…Such ensembles were tested together with transformer-based models in a detailed comparative analysis considering feature extraction efficiency, computational cost, and robustness to species imbalances. …”
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Buryat Language in Multi-Ethnic Buryatia: Functional Distribution, Language Competence, Motivations by G. A. Dyrkheeva, D. D. Badaraev, E. V. Khilkhanova

“…The analysis of some of the results of a sociolinguistic survey conducted in 2020 in the Republic of Buryatia is presented in the article. A feature of this survey is a large sample (1289 respondents of Buryat and Russian nationality) and a wide coverage of the problems of the functioning of the Buryat language. …”
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Cluster Node Migration Oriented Holistic Trust Management Protocol for Ubiquitous and Pervasive IoT Network by Anup Patnaik, Banitamani Mallik, M. Vamsi Krishna

“…Smart applications with interconnected intelligent devices for sharing services arise serious security problems to the stability of this IoT complex and heterogeneous environment. …”
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Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants by Po-Chi Hsu, Po-Chi Hsu, Jia-Ming Chen, Jia-Ming Chen, Chia-Chu Chang, Yu-Jun Chang, Ping-Fang Chiu, John Y. Chiang, John Y. Chiang, Lun-Chien Lo, Lun-Chien Lo

“…IntroductionChronic kidney disease (CKD) is a significant global health problem associated with high morbidity and mortality rates. …”
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Detection and Classification of Dress Code Violations in Educational Environments Using Deep Learning by Aminu Suleiman Bashir, Ahmed Ibrahim Mahmud, Muhammad Yahya

“…The Uniformity across the techniques substantiates the feature extraction performance of the model and demonstrates its generalization ability. …”
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