Optimized sequential model for superior classification of plant disease by Yogesh Chimate, Sangram Patil, K. Prathapan, Jaydeep Patil, Jayendra Khot

“…Our research, conducted on mango and groundnut leaves collected during field visits in western Maharashtra and supplemented by online datasets, demonstrates a CNN model that achieves an impressive 96% accuracy as compared to machine learning techniques that follow tedious feature extraction. Furthermore, image processing contributes to enhancing the dataset through normalization, resizing, and augmentation for better classification results. …”
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A Survey on True Random Number Generators Based on Chaos by Fei Yu, Lixiang Li, Qiang Tang, Shuo Cai, Yun Song, Quan Xu

“…Random numbers are used in many cryptographic protocols, key management, identity authentication, image encryption, and so on. True random numbers (TRNs) have better randomness and unpredictability in encryption and key than pseudorandom numbers (PRNs). …”
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Cohesive zone modeling of the buckling behavior of a fusion-joined, additive-manufactured wind blade by Dongyang Cao, Hongbing Lu, Daniel Todd Griffith

“…The validity of our numerical results was examined by comparing them with the surface strain field measured by digital image correlation (DIC) and assessing the compressive response. …”
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Experimental Study on the Fracture Evolution Processof Rock-like Specimens Containing a Closed RoughJoint Based on 3D-Printing Technology by Jiawei Liu, Haijian Su, Hongwen Jing, Chengguo Hu, Qian Yin

“…And uniaxial compression test was carried out on the rock-like specimens containing closed 3D-printing rough joint to study the effects of joint inclination and joint length on the mechanical properties (peak strength, peak strain, elastic modulus, and secant modulus), cracking process, and failure modes. Besides, digital image correlation (DIC) method and acoustic emission (AE) system are used to investigate the whole evolution process of strain fields and crack propagation during loading. …”
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Analysis of Liquid Migration as a Manifestation of Migration-based Lifestyle in the Third Millennium Using a Qualitative Approach by Ebrahim Mohammadpour, Tavakkol Aghayari Hir, Hacı Duran, Mohammad Abbaszadeh

“…However, contemporary consumer society values, globalization, and ongoing social crises have added new dimensions to migration. Hyperreality images, fluid society values, advancements in communication technologies, and evolving work environments have transformed migration into a way of life. …”
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Comparative Hypothesis Testing of Auroral Ionospheric Layer Causing Global Navigation Satellite System Scintillation by G. Blinstrubas, A. English, D. J. Stuart, D. L. Hampton, L. Lamarche, Y. Nishimura, S. Datta‐Barua

“…The second technique consists of using the ratio of the 630 (red) to the 428 nm (blue) intensity in optical all‐sky images (ASIs) to hypothesize the scattering layer with ASI. …”
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Vegetation Activity Trend and Its Relationship with Climate Change in the Three Gorges Area, China by Guifeng Han, Yongchuan Yang, Shuiyu Yan

“…Based on SPOT/VGT NDVI time series images from 1999 to 2009 in the Three Gorges Area (TGA), we detected vegetation activity and trends using two methods, the Mann-Kendall and Slope tests. …”
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A Novel Three-Dimensional Vector Analysis of Axial Globe Position in Thyroid Eye Disease by Jie Guo, Jiang Qian, Yifei Yuan, Rui Zhang, Wenhu Huang

“…CT data from 59 patients with TED were collected and 3D images were reconstructed. A reference coordinate system was established, and the coordinates of the corneal apex and the eyeball center were calculated to obtain the globe vector EC→. …”
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Statistical Characteristics of Polymer Grouting Material Microstructure by Juan Wang, Xun Li, Hongyuan Fang, Juan Zhang, Jinping Li

“…The microstructure morphology of polymer was observed and described by scanning electron microscopy (SEM), and the microstructure feature parameters were extracted and calculated by image processing technology. The quantitative analysis of section cell roundness distribution, cell diameter distribution, and polymer porosity shows that low-density polymer materials have anisotropy. …”
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A chaotic digital signature algorithm based on a dynamic substitution box by Rolando Flores-Carapia, Víctor Manuel Silva-García, Manuel Alejandro Cardona-López, Miguel Gabriel Villarreal-Cervantes

“…Additionally, we introduce a method to assess signature security by constructing images from signature bytes generated by slight changes to the signer’s private key and message. …”
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Quality Characteristics and Moisture Mobility of Giant Salamander (Andrias davidianus) Jerky during Roasting Process by Wengang Jin, Xiaohua Chen, Jingzhang Geng, Jing Jin, Jinjin Pei, Ruichang Gao, Dejing Chen

“…The proton density weighted images also exhibited the moisture shrinkage during roasting. …”
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Immersive Haptic Technology to Support English Language Learning Based on Metacognitive Strategies by Adriana Guanuche, Wilman Paucar, William Oñate, Gustavo Caiza

“…The following steps should be considered for the app design: (1) the creation of a classroom with characteristics similar to a real classroom and different buttons to navigate through the scenarios; (2) the creation of a virtual environment where text, images, examples, and audio are added according to the grammatical topic; (3) the creation of a dynamic environment for assessment in which multiple choice questions are interacted with, followed by automatic grading with direct feedback. …”
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Evidence of a Lead Metathesis Product from Calcium Hydroxyapatite Dissolution in Lead Nitrate Solution by Oratai Saisa-ard, Weenawan Somphon, Winya Dungkaew, Kenneth J. Haller

“…Calcium hydroxyapatite, CaHAp, synthesized by the precipitation method, was utilized to study the calcium-lead metathesis reaction on dissolution in a lead nitrate solution under reflux conditions to prepare larger lead hydroxyapatite, PbHAp, crystals from CaHAp. SEM images show development of crystalline PbHAp on the surfaces of CaHAp. …”
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Non-Linear Increase of the Real Contact Area of PMMA Blocks and the Related Contact Model by Zhijun Luo, Kai Wu, Shaoze Yan

“…In this paper, the real contact area between two polymethylmethacrylate (PMMA) blocks under heavy load is measured using the total reflection method, and the contact area is analyzed using the image processing method. The results show that the real contact area increases with normal load linearly in light loads but non-linearly in heavy loads; the number of contact spots increases with load linearly in light loads but also non-linearly in heavy loads, synchronous with the change in the real contact area. …”
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A Novel Pattern Recognition Method for Self-Powered TENG Sensor Embedded to the Robotic Hand by Azat Balapan, Rauan Yeralkhan, Alikhan Aryslanov, Gulnur Kalimuldina, Azamat Yeshmukhametov

“…To capitalize on these benefits, we propose a novel machine learning approach that represents time-series data as two-dimensional images processed using a two-dimensional convolutional neural network (2D CNN). …”
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Conceptualizing and Presenting a Paradigm Model of Advertising Strategies for Cosmetics and Health Products in Iran's Online Space by Ayoub Pazhouhan, Latifeh Jaferi

“…Consequences such as increasing sales and income, strengthening customer loyalty, improving brand image, improving innovation and product development, and reducing advertising costs were calculated. …”
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Food apps took a free ride on the first phase of the Covid-19 pandemic in Brazil by Michele Bittencourt Rodrigues, Juliana de Paula Matos, Paula Martins Horta

“…More than a third of the posts showed images of foods, mainly meals predominantly made with ultra-processed foods (58.1%) and traditional meals or pasta (44.2%). …”
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Clinical Value of 99Tcm-MDP SPECT Bone Scintigraphy in the Diagnosis of Unilateral Condylar Hyperplasia by Bing Wen, Ying Shen, Chang-Yin Wang

“…However, for the hyperplastic condyle, no correlation was observed between the thickness of each cartilage layer and the relative uptake in the SPECT image. Conclusion. 99Tcm-MDP SPECT is accurate for diagnosing UCH and can provide a reference for treatment options.…”
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A Deep Learning-Based Approach to Enable Action Recognition for Construction Equipment by Jinyue Zhang, Lijun Zi, Yuexian Hou, Mingen Wang, Wenting Jiang, Da Deng

“…The contributions of this research are as follows: (1) the development of a comprehensive video dataset of 2,064 clips with five action types for excavators and dump trucks; (2) a new deep learning-based CEAR approach (known as a simplified temporal convolutional network or STCN) that combines a convolutional neural network (CNN) with long short-term memory (LSTM, an artificial recurrent neural network), where CNN is used to extract image features and LSTM is used to extract temporal features from video frame sequences; and (3) the comparison between this proposed new approach and a similar CEAR method and two of the best-performing HAR approaches, namely, three-dimensional (3D) convolutional networks (ConvNets) and two-stream ConvNets, to evaluate the performance of STCN and investigate the possibility of directly transferring HAR approaches to the field of CEAR.…”
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Assessment of Observed and Projected Extreme Droughts in Perú—Case Study: Candarave, Tacna by Ana Cruz-Baltuano, Raúl Huarahuara-Toma, Arlette Silva-Borda, Samuel Chucuya, Pablo Franco-León, Germán Huayna, Lía Ramos-Fernández, Edwin Pino-Vargas

“…Additionally, it was concluded that the VCI also detected the droughts identified by the SPEI; however, a more detailed analysis of its use is necessary due to the limited availability of suitable satellite images in the area. On the other hand, a high-resolution dataset of climate models from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) under the SSP3-7.0 scenario was used to project future droughts. …”
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