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Journal articles on the topic 'Reconstruction intelligente'

Author: Grafiati

Published: 23 November 2024

Last updated: 31 July 2025

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1

Epskamp-Dudink, Chantal, and Jan Martin Winter. "Benefits of scenario reconstruction in cold case investigations." Journal of Criminal Psychology 10, no. 2 (2020): 65–78. http://dx.doi.org/10.1108/jcp-09-2019-0035.

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Purpose The purpose of this paper is to propose a methodological approach to increase the clearance rate of cold cases in The Netherlands and to contribute to the development of intelligence-driven criminal investigations in general police practice and within cold case investigations in particular. Design/methodology/approach This proposal is based on practical investigative experience and academic knowledge. Findings Reconstructing scenarios helps convert cold case information into intelligence, which is beneficial to law enforcement agencies in terms of time, resources and prioritising cold

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Vrochidis, Alexandros, Dimitrios Tzovaras, and Stelios Krinidis. "Enhancing Three-Dimensional Reconstruction Through Intelligent Colormap Selection." Sensors 25, no. 8 (2025): 2576. https://doi.org/10.3390/s25082576.

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Photogrammetry is the process of creating three-dimensional (3D) reconstructions from two-dimensional images. In this paper, a novel method is introduced that significantly enhances 3D reconstruction by improving image quality through a combination of RGB stretching, Contrast Limited Adaptive Histogram Equalization (CLAHE), and colormaps. This approach effectively increases the number of keypoints and matches between images, resulting in more accurate and detailed 3D reconstructions. Additionally, a heuristic methodology is proposed to identify the optimal colormaps for each dataset based on k

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Condorelli, Francesca, and Maurizio Perticarini. "Comparative Evaluation of NeRF Algorithms on Single Image Dataset for 3D Reconstruction." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2-2024 (June 11, 2024): 73–79. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-2024-73-2024.

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Abstract. The reconstruction of three-dimensional scenes from a single image represents a significant challenge in computer vision, particularly in the context of cultural heritage digitisation, where datasets may be limited or of poor quality. This paper addresses this challenge by conducting a study of the latest and most advanced algorithms for single-image 3D reconstruction, with a focus on applications in cultural heritage conservation. Exploiting different single-image datasets, the research evaluates the strengths and limitations of various artificial intelligence-based algorithms, in p

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Tytarenko, Ihor, José Machado, and Ivan Pavlenko. "Digitization of Architectural Heritage Objects Using Photogrammetry: Sumy Region Case Study." Journal of Engineering Sciences 12, no. 1 (2025): E18—E28. https://doi.org/10.21272/jes.2025.12(1).e3.

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Due to a full-scale russian aggression against Ukraine, the preservation of cultural heritage is becoming urgent, which necessitates the need for modern digital technologies for conservation and virtual 3D reconstruction of destroyed objects. The article aims to provide a virtual 3D reconstruction of cultural heritage objects using the application of photogrammetry. The results of the study allow for 3D modeling of the landscape of the Zelenyi Hai archaeological complex and lost cultural heritage objects in the Sumy Region. At the first stage of the research, archival sources were analyzed and

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Wu, Yi-Chang, Pei-Shan Chiang, Yao-Cheng Liu, and Ru-Yi Huang. "Use of artificial intelligence in banknote reconstruction." IAES International Journal of Robotics and Automation (IJRA) 13, no. 4 (2024): 410. http://dx.doi.org/10.11591/ijra.v13i4.pp410-422.

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Banknotes may be damaged during various events, such as floods, fires, insect infestations, and mechanical or manual shredding. Disaster victims might need to perform banknote reconstruction when applying for currency exchange, or investigative agencies might need to conduct such reconstruction during evidence collection. When the number of banknote fragments is small, they can be manually assembled; however, when this number is large, manual assembly becomes increasingly difficult and time-consuming. Therefore, an automated and effective method is required for banknote reconstruction. The pro

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Wu, Yi-Chang, Pei-Shan Chiang, Yao-Cheng Liu, and Ru-Yi Huang. "Use of artificial intelligence in banknote reconstruction." IAES International Journal of Robotics and Automation 13, no. 4 (2024): 410–22. https://doi.org/10.11591/ijra.v13i4.pp410-422.

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Banknotes may be damaged during various events, such as floods, fires, insect infestations, and mechanical or manual shredding. Disaster victims might need to perform banknote reconstruction when applying for currency exchange, or investigative agencies might need to conduct such reconstruction during evidence collection. When the number of banknote fragments is small, they can be manually assembled; however, when this number is large, manual assembly becomes increasingly difficult and time-consuming. Therefore, an automated and effective method is required for banknote reconstruction. The pro

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Báskay, János, Dorottya Pénzes, Endre Kontsek, et al. "Are Artificial Intelligence-Assisted Three-Dimensional Histological Reconstructions Reliable for the Assessment of Trabecular Microarchitecture?" Journal of Clinical Medicine 13, no. 4 (2024): 1106. http://dx.doi.org/10.3390/jcm13041106.

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This study aimed to create a three-dimensional histological reconstruction through the AI-assisted classification of tissues and the alignment of serial sections. The secondary aim was to evaluate if the novel technique for histological reconstruction accurately replicated the trabecular microarchitecture of bone. This was performed by conducting micromorphometric measurements on the reconstruction and comparing the results obtained with those of microCT reconstructions. A bone biopsy sample was harvested upon re-entry following sinus floor augmentation. Following microCT scanning and histolog

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P, Mrs Divya, and Karthika K S. "A Cognitive Framework for Memory Reconstruction in Artificial Systems." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 770–75. https://doi.org/10.22214/ijraset.2025.68286.

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Artificial cognitive systems suitable of storing and recalling complex patterns are vital for advancing independent intelligence. These systems bear the integration of episodic and semantic memory structures to reconstruct shattered information without significant interference. This study presents a new frame for artificial memory reconstruction inspired by mortal cognitive processes. The frame includes the storage and recovery of spatio-temporal patterns and the operation of Intelligent Software Agents to emulate mortal- suchlike memory functionality. By using contextual integration and simil

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LI, WEI, NINGCHUAN SHEN, and JU WANG. "R-CALCULUS: A LOGICAL APPROACH FOR KNOWLEDGE BASE MAINTENANCE." International Journal on Artificial Intelligence Tools 04, no. 01n02 (1995): 177–200. http://dx.doi.org/10.1142/s0218213095000103.

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The concepts of maintenance sequences of a knowledge base and their limits are introduced. Some concepts used in maintenance of knowledge bases, such as new laws, user’s rejections, and reconstructions of a base are defined; the related theorems are proved. A maintenance procedure scheme is defined. The maintenance sequences generated by the procedure are convergent, and their limits are the set of true sentences of the model. Some computational aspects of reconstructions are studied; an R-calculus is given to deduce a reconstruction when a knowledge base meets a rejection. Especially, an R-ca

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Okano, Teruo. "Thermo-Intelligent Surfaces for Cell Culture." Advances in Science and Technology 53 (October 2006): 70–73. http://dx.doi.org/10.4028/www.scientific.net/ast.53.70.

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In order to avoid several complications resulted from biodegradable scaffolds or single cell injection, we have developed “cell sheet engineering”. Our concept is novel tissue reconstruction not from single cells but from cell sheets. In order to prepare cell sheets, temperature-responsive culture dishes are utilized. Since temperature-responsive polymers are covalently grafted on the dishes, various types of cells adhere and proliferate on them at 37°C, but are spontaneously detached only by reducing temperature below 32°C without any need for proteolytic enzyme. All the confluent cells are n

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Giannakaki, Aikaterini-Gavriela, Eftychia Papachatzopoulou, Ioannis Papapanagiotou, et al. "The Role of Exclusive Autologous Lipotransfer in Non-Irradiated Breasts After Mastectomy." Journal of Clinical Medicine 14, no. 13 (2025): 4468. https://doi.org/10.3390/jcm14134468.

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Background/Objectives: Autologous fat grafting (AFT) has become a widely used technique in breast reconstruction, offering natural aesthetics, tissue integration, and patient satisfaction. However, its clinical outcomes require comparison with implant-based reconstruction (IBR), the most common method in clinical practice. While AFT provides a more natural appearance and avoids foreign body-related complications, issues such as fat resorption, procedural variability, and oncological concerns necessitate further investigation. Additionally, artificial intelligence (AI) has been increasingly int

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De Francesco, Francesco, Nicola Zingaretti, Pier Camillo Parodi, and Michele Riccio. "The Evolution of Current Concept of the Reconstructive Ladder in Plastic Surgery: The Emerging Role of Translational Medicine." Cells 12, no. 21 (2023): 2567. http://dx.doi.org/10.3390/cells12212567.

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Plastic surgeons have used the reconstructive ladder for many decades as a standard directory for complex trauma reconstruction with the goal of repairing body structures and restoring functionality. This consists of different surgical maneuvers, such as secondary intention and direct tissue closure, as well as more complex methods such as local tissue transfer and free flap. The reconstructive ladder represents widely known options achievable for tissue reconstruction and wound closure that puts at the bottom rung the simplest methods of reconstruction and strengthens the complexity by moving

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Pu, Jane J., Samer G. Hakim, James C. Melville, and Yu-Xiong Su. "Current Trends in the Reconstruction and Rehabilitation of Jaw following Ablative Surgery." Cancers 14, no. 14 (2022): 3308. http://dx.doi.org/10.3390/cancers14143308.

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The reconstruction and rehabilitation of jaws following ablative surgery have been transformed in recent years by the development of computer-assisted surgery and virtual surgical planning. In this narrative literature review, we aim to discuss the current state-of-the-art jaw reconstruction, and to preview the potential future developments. The application of patient-specific implants and the “jaw-in-a-day technique” have made the fast restoration of jaws’ function and aesthetics possible. The improved efficiency of primary reconstructive surgery allows for the rehabilitation of neurosensory

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Niu, Xiaomei. "Interactive 3D reconstruction method of fuzzy static images in social media." Journal of Intelligent Systems 31, no. 1 (2022): 806–16. http://dx.doi.org/10.1515/jisys-2022-0049.

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Abstract Because the traditional social media fuzzy static image interactive three-dimensional (3D) reconstruction method has the problem of poor reconstruction completeness and long reconstruction time, the social media fuzzy static image interactive 3D reconstruction method is proposed. For preprocessing the fuzzy static image of social media, the Harris corner detection method is used to extract the feature points of the preprocessed fuzzy static image of social media. According to the extraction results, the parameter estimation algorithm of contrast divergence is used to learn the restric

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Sun, Bing, Xiao Jin Zhu, Xiao Ping Qiao, Lina Jiang, and Jin Cong Yi. "Analysis and Design of a FBG Intelligent Flexible Structure Based on Orthogonal Curvatures." Applied Mechanics and Materials 39 (November 2010): 67–72. http://dx.doi.org/10.4028/www.scientific.net/amm.39.67.

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With the research model of intelligent flexible structure by Fiber Bragg Grating (FBG) sensor, the dissertation deals with a design and manufacture methodology for FBG sensor array based on orthogonal curvatures, and offers the experiential analysis and validation. On basis of brief introduction to the principle of FBG sensor to detect curvatures and methodology of structural morphological reconstruction, detailed description of design solutions and manufacture processes have yielded based on orthogonal distributed FBG sensor array which includes some technological parts as the configuration o

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Salomon, Gavriel. "AI in Reverse: Computer Tools That Turn Cognitive." Journal of Educational Computing Research 4, no. 2 (1988): 123–39. http://dx.doi.org/10.2190/4lu7-vw23-egb1-aw5g.

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This article posits artificial intelligence (AI), as applied in instruction, is a more efficient means to old ends and that newer ends can be thought of. In particular, it is argued on the basis of some past research and on the basis of a Vygotskian view, that intelligent computer tools can not only simulate human cognition but, given specific conditions, humans can simulate computer's intelligence. That is, learners can internalize computers' intelligent tools and use them as cognitive ones. Internalization is discussed in terms of cognitive reconstruction of cultural artifacts of particular

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Qin, Pinpin, Xing Li, Shenglin Bin, Fumao Wu, and Yanzhi Pang. "Research on transformer and long short-term memory neural network car-following model considering data loss." Mathematical Biosciences and Engineering 20, no. 11 (2023): 19617–35. http://dx.doi.org/10.3934/mbe.2023869.

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<abstract> <p>There is limited research on the loss and reconstruction of car-following features. To delve into car-following's characteristics, we propose a car-following model based on LSTM-Transformer. By fully leveraging the advantages of long short-term memory (LSTM) and transformer models, this study focuses on reconstructing the input car-following features. Training and testing were conducted using 700 car-following segments extracted from a natural driving dataset and the Next Generation Simulation (NGSIM) dataset, and the proposed model was compared with an LSTM model and

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Wu, Si. "Artificial Intelligence Application, Global Value Chain Reconstruction and Enterprise Knowledge Power Relationship: Grounded Theory Research Based on Intelligent Manufacturing Enterprises." SHS Web of Conferences 181 (2024): 04029. http://dx.doi.org/10.1051/shsconf/202418104029.

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In the process of application of artificial intelligence affecting the formation of enterprise knowledge power, there are many factors that can influence it. However, there is no mature theoretical framework for the specific important influencing factors. The TongKun Group in Zhejiang province is a “future intelligence factory” that uses artificial intelligence and other advanced technologies to realize the global value chain reconstruction and enterprise knowledge power. Based on the grounded theory. The research data are collected from Tongkun company. According to the research process of gr

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Cai Xinyue, 蔡心悦, 周杨 Zhou Yang, 胡校飞 Hu Xiaofei, 吕亮 Liang Lü, 赵璐颖 Zhao Luying та 彭杨钊 Peng Yangzhao. "基于超分辨率重建的小目标智能检测算法". Laser & Optoelectronics Progress 60, № 12 (2023): 1210002. http://dx.doi.org/10.3788/lop220882.

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Wang, Zhenzhou, Xu Zhang, Pingping Yu, Wenjie Duan, Dongjie Zhu, and Ning Cao. "A New Face Recognition Method for Intelligent Security." Applied Sciences 10, no. 3 (2020): 852. http://dx.doi.org/10.3390/app10030852.

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With the advent of the era of artificial intelligence and big data, intelligent security robots not only improve the efficiency of the traditional intelligent security industry but also propose higher requirements for intelligent security. Aiming to solve the problem of long recognition time and high equipment cost of intelligent security robots, we propose a new face recognition method for intelligent security in this paper. We use the Goldstein branching method for phase unwrapping, which can improve the three-dimensional (3D) face reconstruction effect. Subsequently, by using the three-dime

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Ramírez Molina, Abel Andrés, Nejc Bezak, Glenn Tootle, Chen Wang, and Jiaqi Gong. "Machine-Learning-Based Precipitation Reconstructions: A Study on Slovenia’s Sava River Basin." Hydrology 10, no. 11 (2023): 207. http://dx.doi.org/10.3390/hydrology10110207.

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The Sava River Basin (SRB) includes six countries (Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Albania, and Montenegro), with the Sava River (SR) being a major tributary of the Danube River. The SR originates in the mountains (European Alps) of Slovenia and, because of a recent Slovenian government initiative to increase clean, sustainable energy, multiple hydropower facilities have been constructed within the past ~20 years. Given the importance of this river system for varying demands, including hydropower (energy production), information about past (paleo) dry (drought) and wet (pluv

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Enßlin, Torsten. "Information Field Theory and Artificial Intelligence." Entropy 24, no. 3 (2022): 374. http://dx.doi.org/10.3390/e24030374.

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Information field theory (IFT), the information theory for fields, is a mathematical framework for signal reconstruction and non-parametric inverse problems. Artificial intelligence (AI) and machine learning (ML) aim at generating intelligent systems, including such for perception, cognition, and learning. This overlaps with IFT, which is designed to address perception, reasoning, and inference tasks. Here, the relation between concepts and tools in IFT and those in AI and ML research are discussed. In the context of IFT, fields denote physical quantities that change continuously as a function

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Wu, Jia, Jian Li, and Qi Ren. "Application of artificial intelligence image recognition technology based on Faster-R CNN in automatic inspection of power transmission and transformation." Journal of Physics: Conference Series 2306, no. 1 (2022): 012006. http://dx.doi.org/10.1088/1742-6596/2306/1/012006.

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Abstract In order to effectively improve the work efficiency and real-time performance of an automatic inspection of power transmission and transformation, this paper studies the automatic inspection method of power transmission and transformation based on artificial intelligence image recognition technology. First, we use cameras and unmanned aerial vehicles (UAVs) to obtain image data for power transmission and transformation inspection. Second, through the artificial sample calibration and reconstruction technology, the power transmission, and transformation inspection sample database is co

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Hong, Sen-Yuan, and Bao-Long Qin. "Recent Advances in Robotic Surgery for Urologic Tumors." Medicina 60, no. 10 (2024): 1573. http://dx.doi.org/10.3390/medicina60101573.

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This review discusses recent advances in robotic surgery for urologic tumors, focusing on three key areas: robotic systems, assistive technologies, and artificial intelligence. The Da Vinci SP system has enhanced the minimally invasive nature of robotic surgeries, while the Senhance system offers advantages such as tactile feedback and eye-tracking capabilities. Technologies like 3D reconstruction combined with augmented reality and fluorescence imaging aid surgeons in precisely identifying the anatomical relationships between tumors and surrounding structures, improving surgical efficiency an

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Subhasis, Kundu. "AI-Enhanced Cognitive and Identity Reconstruction: Revolutionizing Memory Repair and Personality Revival." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, no. 4 (2021): 1–4. https://doi.org/10.5281/zenodo.15086783.

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This study examined the use of artificial intelligence (AI) to rebuild cognitive functions and identities, particularly focusing on restoring memories and reconstructing personalities for people suffering from neurodegenerative conditions, as well as potentially preserving the essence of those who have passed away. This research delves into AI techniques for reconstructing memory patterns, generating missing information, and recreating personality characteristics. Additionally, it considers the ethical concerns related to these technologies, such as privacy issues and obtaining informed consen

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Peng, Jiansheng, Kui Fu, Qingjin Wei, Yong Qin, and Qiwen He. "Improved Multiview Decomposition for Single-Image High-Resolution 3D Object Reconstruction." Wireless Communications and Mobile Computing 2020 (December 26, 2020): 1–14. http://dx.doi.org/10.1155/2020/8871082.

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As a representative technology of artificial intelligence, 3D reconstruction based on deep learning can be integrated into the edge computing framework to form an intelligent edge and then realize the intelligent processing of the edge. Recently, high-resolution representation of 3D objects using multiview decomposition (MVD) architecture is a fast reconstruction method for generating objects with realistic details from a single RGB image. The results of high-resolution 3D object reconstruction are related to two aspects. On the one hand, a low-resolution reconstruction network represents a go

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Xu, Xiangyang, and Hao Yang. "Robust model reconstruction for intelligent health monitoring of tunnel structures." International Journal of Advanced Robotic Systems 17, no. 2 (2020): 172988142091083. http://dx.doi.org/10.1177/1729881420910836.

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Advanced robotic systems will encounter a rapid breakthrough opportunity and become increasingly important, especially with the aid of the accelerated development of artificial intelligence technology. Nowadays, advanced robotic systems are widely used in various fields. However, the development of artificial intelligence-based robot systems for structural health monitoring of tunnels needs to be further investigated, especially for data modeling and intelligent processing for noises. This research focuses on integrated B-spline approximation with a nonparametric rank method and reveals its ad

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Pan, Xinting. "Reconstruction and Optimization of Supply Chain in the Era of Artificial Intelligence." Advances in Economics, Management and Political Sciences 177, no. 1 (2025): 122–27. https://doi.org/10.54254/2754-1169/2025.22430.

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In recent years, the rapid development of artificial intelligence has driven the transformation of society towards informatization and intelligence, especially in the field of supply chain optimization. Enterprises must coordinate resource allocation, improve supply chain efficiency, and reduce costs in a complex and ever-changing market environment to cope with increasingly fierce competition. This article summarizes existing literature and focuses on the application of AI in supply chain optimization, considering the problems that exist in actual supply chains. It explores how AI can improve

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Wang, Kaichao, Guojie Zhang, Tianqi Yi, and Xiaoxiong Zha. "Research on New Method for Safety Testing of Steel Structures—Combining 3D Laser Scanning Technology with FEA." Buildings 14, no. 8 (2024): 2583. http://dx.doi.org/10.3390/buildings14082583.

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This paper introduces a novel approach to assessing structural safety, specifically aimed at evaluating the safety of existing structures. Firstly, a point cloud model of the existing commercial complex was captured utilizing three-dimensional (3D) laser scanning technology. Subsequently, an intelligent method for identifying holes within the point cloud model was proposed, built upon a YOLO v5-based framework, to ascertain the dimensions and locations of holes within the commercial complex. Secondly, Poisson surface reconstruction, coupled with partially self-developed algorithms, was employe

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Condorelli, F., F. Rinaudo, F. Salvadore, and S. Tagliaventi. "A COMPARISON BETWEEN 3D RECONSTRUCTION USING NERF NEURAL NETWORKS AND MVS ALGORITHMS ON CULTURAL HERITAGE IMAGES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 565–70. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-565-2021.

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Abstract. In this research, an innovative comparison between 3D reconstructions obtained by means of Artificial Intelligence, in particular NeRF Neural Networks, and by Structure-from-Motion (SfM) and Multi-View-Stereo (MVS) open-source algorithms is proposed. The 3D reconstruction comparison is performed on two test cases, one of cultural interest, one useful only for technical discussion. It is known that the approaches are traditionally used with different objectives and in different contexts but they can however also be used with similar purpose, i.e., 3D reconstruction. In particular, we

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Shen, Yizhuo, Andrew J. Malek, Renee Gao, and Justin M. Broyles. "Artificial intelligence in breast reconstruction." Artificial Intelligence Surgery 5, no. 1 (2025): 150–9. https://doi.org/10.20517/ais.2024.71.

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Breast reconstruction is a critical component of breast cancer treatment. With the rapid integration of Artificial Intelligence (AI) into healthcare, its potential to revolutionize breast reconstruction has become increasingly evident. This narrative review examines the latest AI developments across the preoperative, intraoperative, and postoperative phases of breast reconstruction. In preoperative consultations, AI and augmented reality (AR)-driven simulations help both the surgeons and the patients visualize reconstruction outcomes. Imaging analysis and predictive modeling enhance the precis

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Dou, Shuyang, and Hiroshi Nagahashi. "An Intelligent Binocular Vision System with Zoom Lens for 3D Scene Reconstruction." International Journal of Computer and Electrical Engineering 8, no. 6 (2016): 304–18. http://dx.doi.org/10.17706/ijcee.2016.8.6.304-318.

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Zhu, Yueyun. "3D Reconstruction of Ancient Building Structure Scene Based on Computer Image Recognition." International Journal of Information Technologies and Systems Approach 16, no. 3 (2023): 1–14. http://dx.doi.org/10.4018/ijitsa.320826.

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With the extensive application of computer image recognition (CIR), the high cost of three-dimensional (3D) models, long construction cycles, poor data visualization, and other problems have become the main bottlenecks in further development of CIR. Artificial intelligence (AI) is an important branch of computer science and has a wide range of application prospects and high practical value, especially in the field of medical and health applications of intelligent machines. This article introduces the background of 3D reconstruction of ancient architectural structure scenes, and then presents a

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Hong, Chao, Jianmin Shi, Yan Xing, and Zejun Chang. "Research on the Coupling and Coordinated Development of Sports Tourism and Cultural Industry under the Background of Artificial Intelligence Era." Wireless Communications and Mobile Computing 2022 (April 11, 2022): 1–6. http://dx.doi.org/10.1155/2022/3191655.

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In the new era of rapid development of intelligent information, sports tourism and cultural industry have become a new goal to improve China’s urban competitiveness and realize the development of urban industry. Based on the integration of sports tourism industry and cultural industry, this paper establishes the relevant information data interface mode. This paper constructs the information coupling system model of sports tourism industry and cultural industry under the background of artificial intelligence era and obtains the corresponding data results by using the invisible statistical logic

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Setiawardania, Alvina, Ateeq Ur Rahman, Anisa Nadila Utama, Juni Sungsang Prakosa, and Yuwono Ariyanto Susilo. "The Role of Artificial Intelligence in the Development of 3D Facial Reconstructions on Skull Bones as a Forensic Investigation Solution." Jurnal Indonesia Sosial Teknologi 6, no. 2 (2025): 774–82. https://doi.org/10.59141/jist.v6i2.5339.

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Forensic cases often provide challenges to forensic researchers in conducting investigations, one of which is to identify the body. As technology develops and the digital era, the use of AI technology can also be applied to forensic cases. One of them is in performing facial reconstruction using Artificial Intelligence technology, such as Convolutional Neural Networks (CNN), and Three Dimensional Deep Learning (TDD). The three main components used are 1) Tissue Depth Distribution (TDD), (2) Initial Face Generation, and (3) Anatomy-Guided Face Adaptation. This technique combines biological prof

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Yang, Chuan. "Thoughts on the Teaching of Art and Design in the Era of Artificial Intelligence." Education Reform and Development 4, no. 1 (2022): 75–78. http://dx.doi.org/10.26689/erd.v4i1.4148.

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The advent of artificial intelligence has transformed the original mode of material and spiritual production. In view of autonomous machine intelligence, artificial intelligence has become a “production subject” and a new “subject” in the production of cultural intelligence, complete with legal social identity. The visual products produced by intelligent agents are not only the reproduction of the original vitality of some originals. More precisely, their works are the continuation of the concept and style of a designer. In a broad sense, they are the reconstruction of human civilization consc

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Wan, Liyang, and Xi Chu. "Study on the impact of camera ISP algorithms on stripe structured light 3D reconstruction and the improvement of 3D reconstruction accuracy by photon input." Applied and Computational Engineering 88, no. 1 (2024): 25–33. http://dx.doi.org/10.54254/2755-2721/88/20241461.

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This paper investigates the impact of camera image signal processing (ISP) algorithms on stripe structured light 3D reconstruction and explores the improvement of 3D reconstruction accuracy by photon input. Existing 3D reconstruction technologies have broad applications in fields such as intelligent manufacturing, healthcare, and consumer electronics, but their high precision requirements often cannot be met by current ISP algorithms. By using handheld devices to capture images and combining key techniques such as the multi-step phase shifting method, multi-frequency phase unwrapping method, a

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Nirlap, Kaur* Sumanpreet Kaur. "HYBRID METHOD FOR THE IMAGE RECONSTRUCTION USING THE MULTI-LEVEL DATA EVALUATION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 6 (2016): 811–17. https://doi.org/10.5281/zenodo.56019.

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The image reconstruction plays the vital role in the data recovery from the projection data, which is always easier for the data backup storage systems as it take more than 90% less space for saving the image projection data than the original projection data. When the size of the image storage data rises up to the petabytes, exabytes or zetabytes, such as google images, facebook or flickr, it becomes really important to save the backup in the minimum storage space. The binary image reconstruction is playing the vital role in the image reconstruction, which may be improved to reconstruct the RG

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Liao, Shu-Han, Chien-Ching Chiu, Po-Hsiang Chen, and Hao Jiang. "Microwave Imaging of Anisotropic Objects by Artificial Intelligence Technology." Sensors 23, no. 21 (2023): 8781. http://dx.doi.org/10.3390/s23218781.

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In this paper, we present the microwave imaging of anisotropic objects by artificial intelligence technology. Since the biaxial anisotropic scatterers have different dielectric constant components in different transverse directions, the problems faced by transverse electronic (TE) polarization waves are more complex than those of transverse magnetic (TM) polarization waves. In other words, measured scattered field information can scarcely reconstruct microwave images due to the high nonlinearity characteristic of TE polarization. Therefore, we first use the dominant current scheme (DCS) and th

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Hanna, Michael, David Granzow, Bjorn Bolte, and Andrew Alvarado. "NATO Intelligence and Information Sharing: Improving NATO Strategy for Stabilization and Reconstruction Operations." Connections: The Quarterly Journal 16, no. 4 (2017): 5–34. http://dx.doi.org/10.11610/connections.16.4.01.

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Ханна, Михаэль, Дэвид Гранзоу, Бьорн Болте та Эндрю Алварадо. "Обмен разведывательными данными и информацией в рамках НАТО: усовершенствование стратегии НАТО для операций по стабилизации и восстановлению". Connections: The Quarterly Journal 16, № 4 (2017): 5–38. http://dx.doi.org/10.11610/connections.rus.16.4.01.

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Niu, Xueyan, Bo Bai, Nian Guo, Weixi Zhang, and Wei Han. "Rate–Distortion–Perception Trade-Off in Information Theory, Generative Models, and Intelligent Communications." Entropy 27, no. 4 (2025): 373. https://doi.org/10.3390/e27040373.

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Traditional rate–distortion (RD) theory examines the trade-off between the average length of the compressed representation of a source and the additive distortions of its reconstruction. The rate–distortion–perception (RDP) framework, which integrates the perceptual dimension into the RD paradigm, has garnered significant attention due to recent advancements in machine learning, where perceptual fidelity is assessed by the divergence between input and reconstruction distributions. In communication systems where downstream tasks involve generative modeling, high perceptual fidelity is essential

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Boschetti, A., L. Pattelli, R. Torre, and D.S. Wiersma. "Perspectives and recent advances in super-resolution spectroscopy: Stochastic and disordered-based approaches." Applied Physics Letters 120 (June 23, 2022): 250502. https://doi.org/10.1063/5.0096519.

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Spectroscopic applications are characterized by the constant effort to combine high spectral resolution with large bandwidth. A tradeoff typically exists between these two aspects, but the recent development of super-resolved spectroscopy techniques is bringing new opportunities into this field. This is particularly relevant for all applications where compact and cost-effective instruments are needed, such as in sensing, quality control, environmental monitoring or biometric authentication, to name a few. These unconventional approaches exploit several strategies for spectral investigation, ta

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Peng, Qiaoxia. "Lifelong Learning System in the age of Artificial Intelligence: Change, Opportunity and Reconstruction." Journal of Electrical Systems 20, no. 2 (2024): 1085–91. http://dx.doi.org/10.52783/jes.1294.

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Artificial Intelligence advances the offline and online education, digital education and virtual education, eventually all the way to lifelong education with online, digital and virtual Characteristics. In the era of “Artificial Intelligence” (AI), computer technology, Internet technology, big data technology, and cloud computing technology have been widely used in all life and work, making the information dissemination space broader and faster. Information Space provides a platform for new knowledge acquisition and learning for education. The lifelong learning system for the whole population

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Wang, Haoyu, Liu Hong, and Leonardo P. Chamorro. "Micro-Scale Particle Tracking: From Conventional to Data-Driven Methods." Micromachines 15, no. 5 (2024): 629. http://dx.doi.org/10.3390/mi15050629.

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Micro-scale positioning techniques have become essential in numerous engineering systems. In the field of fluid mechanics, particle tracking velocimetry (PTV) stands out as a key method for tracking individual particles and reconstructing flow fields. Here, we present an overview of the micro-scale particle tracking methodologies that are predominantly employed for particle detection and flow field reconstruction. It covers various methods, including conventional and data-driven techniques. The advanced techniques, which combine developments in microscopy, photography, image processing, comput

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Zhang, Liming, Lei Wang, Xu du, and Fanbo Meng. "CAD-Aided 3D Reconstruction of Intelligent Manufacturing Image Based on Time Series." Scientific Programming 2022 (March 11, 2022): 1–11. http://dx.doi.org/10.1155/2022/9022563.

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To improve the three-dimensional (3D) reconstruction effect of intelligent manufacturing image and reduce the reconstruction time, a new CAD-aided 3D reconstruction of intelligent manufacturing image based on time series was proposed. Kinect sensor is used to collect depth image data and convert it into 3D point cloud coordinates. The collected point cloud data are divided into regions, and different point cloud denoising algorithms are used to filter and denoise the divided regions. With the help of CAD, FLANN matching algorithm is used to extract feature points of time-series images and comp

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Ogasawara, Ryosuke, Akiko Irikawa, Yuya Watanabe, et al. "Evaluation of the Characteristics of Short Acquisition Times Using the Clear Adaptive Low-Noise Method and Advanced Intelligent Clear-IQ Engine." Radiation 5, no. 2 (2025): 18. https://doi.org/10.3390/radiation5020018.

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This study aimed to evaluate the characteristics of short acquisition times using the Clear adaptive Low-noise Method (CaLM) and Advanced intelligent clear-IQ engine (AiCE) reconstructions in a semiconductor-based positron emission tomography (PET)/computed tomography system. PET data were acquired for 30 min in list mode and resampled into time frames ranging from 15 to 120 s. Images were reconstructed using three-dimensional ordinary Poisson ordered-subset expectation maximization (OSEM) with time of flight (TOF) and OSEM with TOF and point spread function modeling (PSF) algorithms, with OSE

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Cevik, Jevan, Ishith Seth, David J. Hunter-Smith, and Warren M. Rozen. "A History of Innovation: Tracing the Evolution of Imaging Modalities for the Preoperative Planning of Microsurgical Breast Reconstruction." Journal of Clinical Medicine 12, no. 16 (2023): 5246. http://dx.doi.org/10.3390/jcm12165246.

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Breast reconstruction is an essential component in the multidisciplinary management of breast cancer patients. Over the years, preoperative planning has played a pivotal role in assisting surgeons in planning operative decisions prior to the day of surgery. The evolution of preoperative planning can be traced back to the introduction of modalities such as ultrasound and colour duplex ultrasonography, enabling surgeons to evaluate the donor site’s vasculature and thereby plan operations more accurately. However, the limitations of these techniques paved the way for the implementation of modern

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Dong, Yuxing, Yan Li, and Zhen Li. "Research on Detection and Recognition Technology of a Visible and Infrared Dim and Small Target Based on Deep Learning." Electronics 12, no. 7 (2023): 1732. http://dx.doi.org/10.3390/electronics12071732.

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With the increasing trend towards informatization and intelligence in modern warfare, high-intensity and continuous reconnaissance activities are becoming increasingly common in battlefield environments via airborne, vehicle, UAV, satellite and other platforms. Visible and infrared images are preferred due to their high resolution, strong contrast, rich texture details and color features, and strong information expression ability. However, the quality of imaging is easily affected by environmental factors, making it crucial to quickly and accurately filter useful information from massive image

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Kobrinskii, B. A., D. D. Dolotova, V. V. Donitova, and A. V. Gavrilov. "Radiological Images in the Construction of Hybrid Intelligent System." Vrach i informacionnye tehnologii, no. 4 (2020): 43–50. http://dx.doi.org/10.37690/1811-0193-2020-4-43-50.

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So far, the concept of image row or tuples in the development of intelligent systems has been discussed in relation to the role of phenotypic (external) manifestations of diseases in diagnostics. This study introduces the idea of neuroimaging tuples as a tool to make a prognosis of the course of chronic cerebral ischemia. The phenomenon of leukoaraiosis is analyzed as a radiological feature of chronic brain ischemia and a predictor of stroke. Image tuples are formed from the results of computed tomography, computed tomography angiography, magnetic resonance imaging, of 85 patients with chronic

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