Large-scale duplicate image retrieval technical research for the internet by Shu-peng WANG, Ming CHEN, Guang-jun WU

“…For the typical social media application on the internet,a large-scale distributed duplicate image retrieval ap-proach based on random projection and the block DCT coefficients was proposed.On the basis of Hadoop,this approach exploited image signatures generated by random projection mapping to retrieve HBase efficiently.And candidate images with high-recall were achieved.Then in order to improve the retrieval precision,the block DCT coefficients were used to further filter candidate images.For 12 million images,experimental results showed that with our approach the recall ratio reached 98%,the precision ratio reached 93.2%,and the average retrieval time was 6.7s when H=2 and T=150.…”
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A Variable Precision Covering-Based Rough Set Model Based on Functions by Yanqing Zhu, William Zhu

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Florida Consumer Preferences for Indoor Foliage Plant Attributes by Hayk Khachatryan, Alicia Rihn

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À la recherche de savoirs perdus? Expérience, innovation et savoirs incorporés chez des agriculteurs biologiques au Québec by Mary Richardson

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Fault detection and diagnosis method for heterogeneous wireless network based on GAN by Xiaorong ZHU, Peipei ZHANG

“…Aiming at the problem that in the process of network fault detection and diagnosis,how to train the precise fault diagnosis and detection model based on small data volume,a fault diagnosis and detection algorithm based on generative adversarial networks (GAN) for heterogeneous wireless networks was proposed.Firstly,the common network fault sources in heterogeneous wireless network environment was analyzed,and a large number of reliable data sets was obtained based on a small amount of network fault samples through GAN algorithm.Then,the extreme gradient boosting (XGBoost) algorithm was used to select the optimal feature combination of input parameters in the fault detection stage and completed fault diagnosis and detection based on these data.Simulation results show that the algorithm can achieve more accurate and efficient fault detection and diagnosis for heterogeneous wireless networks,with an accuracy of 98.18%.…”
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CUSUM-Based Intrusion Detection Mechanism for Wireless Sensor Networks by Bishan Ying

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Analysis and Synthesis of Cardioid Crank Guide-bar Mechanism with Approximate Dwell Motion by Haotong Han, Zhenzhi He, Jiguang Han

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Axially Symmetric Null Dust Space-Time, Naked Singularity, and Cosmic Time Machine by Faizuddin Ahmed

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Pengamanan Citra Digital Menggunakan Kriptografi DnaDan Modified LSB by Sabrina Adela Br Sibarani, Andreas Munthe, Ronsen Purba, Ali Akbar Lubis

“…Setelah enkripsi, ciphertext disembunyikan dalam citra sampul menggunakan teknik steganografi Modified Least Significant Bit (MLSB), yang mengoptimalkan penyisipan bit di saluran RGB dengan pemilihan piksel acak menggunakan generator modulo. Hasil pengujian menunjukkan kualitas enkripsi yang sangat baik, dengan nilai NPCR ≥ 98%, UACI ≥ 30%, koefisien korelasi ≃ 0, entropi ≃ 8, dan histogram yang datar (flat). …”
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The 2023 dengue outbreak in Lombardy, Italy: A one-health perspective by Francesca Rovida, Marino Faccini, Carla Molina Granè, Irene Cassaniti, Sabrina Senatore, Eva Rossetti, Giuditta Scardina, Manuela Piazza, Giulia Campanini, Daniele Lilleri, Stefania Paolucci, Guglielmo Ferrari, Antonio Piralla, Francesco Defilippo, Davide Lelli, Ana Moreno, Luigi Vezzosi, Federica Attanasi, Marzia Soresini, Manuela Barozzi, Lorenzo Cerutti, Stefano Paglia, Angelo Regazzetti, Maurilia Marcacci, Guido Di Donato, Marco Farioli, Mattia Manica, Piero Poletti, Antonio Lavazza, Maira Bonini, Stefano Merler, Fausto Baldanti, Danilo Cereda, Antonella Sarasini, Milena Furione, Dalila Mele, Federica Bergami, Josè Camilla Sammartino, Alessandro Ferrari, Greta Romano, Antonino Maria Guglielmo Pitrolo, Maya Carrera, Rita Brugnoli, Nunzia Laini, Francesca Bonalda, Sara Arfani, Giuditta Zamboni, Fanny Delfanti, Piergiuseppe Ferrari, Anxhela Dafa, Antonella Negri, Filippa Parisi, Marcello Tirani, Michela Viscardi, Gabriele Del Castillo, Federica Morani, Francesco Scovenna, Sheila Sansebastian, Manuel Maffeo, Mario Chiari, Enrico Tallarita

“…R0 was estimated at 1.31 (95 % CI: 0.76–1.98); 90 % of transmission occurred within 500m. …”
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Optimalisasi Proses Klasifikasi Dengan Menambahkan Semantik Pada Kebutuhan Non-Fungsional Berbasis ISO/IEC 25010 by Lukman Hakim, Choirul Huda

“…First, the system will generate training data automatically without semantic measurements. …”
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Numerical Analysis on Chaotic Vibration of Drive System for a Movable Tooth Piezoelectric Motor by Chong Li, Jichun Xing, Jiwen Fang, Zhong Zhao

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Understanding Security Requirements and Challenges in Internet of Things (IoT): A Review by Sufian Hameed, Faraz Idris Khan, Bilal Hameed

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Microseismic Signal Classification Based on Artificial Neural Networks by Chong-wei Xin, Fu-xing Jiang, Guo-dong Jin

“…Operated with two hidden layers and the Logistic activation function, the multiclass area under the receiver operating characteristic curve (AUC) reached 98.6%.…”
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Convergence of Some Iterative Algorithms for System of Generalized Set-Valued Variational Inequalities by M. Akram, Aysha Khan, M. Dilshad

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Oltre i margini: comunità, risorse, prospettive by Laura Bonato, Damiano Cortese, Roberta Clara Zanini

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A left-right mirror symmetric model: common origin of neutrino mass, baryon asymmetry and dark matter by Wei-Min Yang

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Model of presentation of the information system curricula, using XML by Olegas Vasilecas, Kristina Lapin

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Investigation of Subcombination Internal Resonances in Cantilever Beams by Haider N. Arafat, Ali H. Nayfeh

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PCOT: An open‐source toolkit for multispectral image processing by James Finnis, Helen C. Miles, Ariel Ladegaard, Matt Gunn

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