Noise2Variance: Dual networks with variance constraint for self‐supervised real‐world image denoising by Hanlin Tan, Yu Liu, Maojun Zhang

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On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity by Yen-Ming Chen, Wei-Lun Lin, Heng Lee, Tsung-Lin Chen

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Power of quantum measurement in simulating unphysical operations by Xuanqiang Zhao, Lei Zhang, Benchi Zhao, Xin Wang

“…The manipulation of quantum states through linear maps beyond quantum operations has many important applications in various areas of quantum information processing. …”
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SPATIAL ANALYSIS OF CITIES AND AGGLOMERATIONS: INTEGRATION OF GIS AND BIG DATA TECHNOLOGIES by A. A. Cherkasov, R. K. Maxmudov, N. V. Sopnev

“…The cost of residential premises was estimated by processing information from Internet services for placing ads (Avito and CIAN). …”
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Avaliação de UAS de baixo custo e receptor GNSS para representar a paisagem na Amazônia by Ana Luísa Teixeira, Silvia Elena Ventorini, Francisco Davy Braz Rabelo

“…Considering this backdrop, this study investigated low-cost procedures for large-scale mapping of a high-risk area in the city of Alvarães. …”
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Leveraging Land Cover Priors for Isoprene Emission Super-Resolution by Christopher Ummerle, Antonio Giganti, Sara Mandelli, Paolo Bestagini, Stefano Tubaro

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Optimizing Fertilizer Use in Precision Agriculture with GIS and Remote Sensing by Fallah Mohammed Hussein, Ramadan Ghazi Mohamad, Venkatcharyulu S.

“…Imageries undergo pre-processing to produce vegetation indices and GIS maps to have soil properties and topography. …”
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An Approach of Intelligent Compound Fault Diagnosis of Rolling Bearing based on MWT and CNN by Han Tao, Yuan Jianhu, Tang Jian, An Lizhou

“…According to this approach,the vibration signals of rolling bearing are analyzed by using MWT of removed post processing,and the corresponding multi- wavelet coefficient branches are obtained. …”
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Deforestation Regulation Open Platform (DROP): An AI-Driven Open-Source Platform for Economically Sustainable Coffee Production and European Union Deforestation Regulation (EUDR) C... by Mirko Ilowski

“…DROP’s effectiveness will be assessed through its ability to integrate and verify various data sources, detect fraudulent attempts, and provide cost-effective compliance solutions. R&D efforts indicate that DROP will successfully offer a transparent, scalable, and secure alternative to traditional certification processes, effectively verifying EUDR compliance at significantly reduced costs compared to current certification expenses. …”
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Constitutive modeling and workability characterization of pre-deformed AZ31 magnesium alloy during hot shear-compression deformation by Junsong Jin, Fangtao Chai, Jinchuan Long, Chang Gao, Shaolei Wang, Pan Zeng, Xuefeng Tang, Pan Gong, Mao Zhang, Lei Deng, Xinyun Wang

“…The deformation characteristics, flow behavior and microstructure/texture evolution mechanisms of pre-deformed AZ31 alloy were systematically investigated under varying process parameters. A genetic algorithm-optimized artificial neural network (GA-ANN) constitutive model was developed using machine learning methods, and hot processing maps were established based on this model. …”
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Are queries and keys always relevant? A case study on transformer wave functions by Riccardo Rende, Luciano Loris Viteritti

“…By comparing the performance of standard attention mechanisms with a simplified version that excludes queries and keys, relying solely on positions, we achieve competitive results while reducing computational cost and parameter usage. Furthermore, through the analysis of the attention maps generated by standard attention mechanisms, we show that the attention weights become effectively input-independent at the end of the optimization. …”
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Space-time contraction and the dynamics of urban systems by Anne Bretagnolle, Denise Pumain, Céline Rozenblat

“…A third trend leading to a spatial reorganisation, emerges from maps of the urban population potentials. Among all possible mathematical equations and parameters values which could describe the intensity and the spatial range of interactions between cities, we choose those which give rather stable results and which are compatible with the analysis of urban historians, such as De Vries, Braudel, Bairoch, Hohenberg and Lees, for the centuries preceding the industrial revolution, by using evaluations of distances in terms of time and cost. …”
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Evaluation of Depth Anything Models for Satellite-Derived Bathymetry by E. Günaydın, İ. Yakar, T. Bakırman, M. O. Selbesoğlu

“…This improvement shows the capability of Depth Anything V2 in estimating underwater terrain from monocular satellite imagery, which also demonstrates its potential for cost-effective bathymetric mapping in remote sensing applications. …”
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Dedicated hardware architecture for localizing iris in VW images by Vineet Kumar, Abhijit Asati, Anu Gupta

“…In general, the architecture can be used for a class of iris localization algorithms based on the edge-map generation and circular Hough transform (CHT). …”
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A Dense Pyramidal Residual Network with a Tandem Spectral–Spatial Attention Mechanism for Hyperspectral Image Classification by Yunlan Guan, Zixuan Li, Nan Wang

“…In recent years, convolutional neural networks (CNNs) have become a potent tool for hyperspectral image classification (HSIC), where classification accuracy, computational cost, and generalization ability are the main focuses. …”
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Research on Surface Defects Classification for PET Preform by Fusing Multi-Scale Features by Chunmei Duan, Taochuan Zhang, Lei Han, Huilin Tan

“…Product quality control is an important component of PET preform production process. In order to improve the accuracy and reliability of PET preform detection, reduce the cost of product quality defects, and improve the overall level of product quality, this paper proposes a surface defect detection method for PET preform based on multi-scale feature fusion. …”
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Multi-step depth enhancement refine network with multi-view stereo. by Yuxuan Ding, Kefeng Li, Guangyuan Zhang, Zhenfang Zhu, Peng Wang, Zhenfei Wang, Chen Fu, Guangchen Li, Ke Pan

“…The MSDER-MVS network leverages the potent capabilities of modern deep learning in conjunction with the geometric intuition of traditional 3D reconstruction techniques, with a particular focus on optimizing the quality of the depth map and the efficiency of the reconstruction process.Our key innovations include a dual-branch fusion structure and a Feature Pyramid Network (FPN) to effectively extract and integrate multi-scale features. …”
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Improvement of a Subpixel Convolutional Neural Network for a Super-Resolution Image by Muhammed Fatih Ağalday, Ahmet Çinar

“…Since the super-resolution process is performed in the high-resolution area, it adds a memory cost and computational complexity. …”
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Advanced GIS-based Multi-Function Support System for Identifying the Best Route by Suhiar Mohammed Zeki Abd Alsammed

“…One of the main merits of this model is to be faster by removing the influence of non-processed data like null values and unlinked roads on offline google maps levels. …”
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Monitoring Fast-Growing Megacities in Emerging Countries Through the PS-InSAR Technique: The Case of Addis Ababa, Ethiopia by Eyasu Alemu, Mario Floris

“…Satellite interferometry techniques are confirmed to be a reliable tool for monitoring potentially dangerous geological processes, and in the case examined in this work, they represent the only way to verify the urbanized areas exposed to the risk of damage with great effectiveness and low cost, providing local authorities with crucial information on the priorities of intervention.…”
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