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Journal articles on the topic 'Model photo'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Wan, Weiguo, and Hyo Jong Lee. "A Joint Training Model for Face Sketch Synthesis." Applied Sciences 9, no. 9 (2019): 1731. http://dx.doi.org/10.3390/app9091731.

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The exemplar-based method is most frequently used in face sketch synthesis because of its efficiency in representing the nonlinear mapping between face photos and sketches. However, the sketches synthesized by existing exemplar-based methods suffer from block artifacts and blur effects. In addition, most exemplar-based methods ignore the training sketches in the weight representation process. To improve synthesis performance, a novel joint training model is proposed in this paper, taking sketches into consideration. First, we construct the joint training photo and sketch by concatenating the o

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Sun, Xinyi, Zijie Wei, and Jiaheng Wang. "Analysis of customer satisfaction of HIMO Photo Studio based on Ordered Regresssion." Highlights in Science, Engineering and Technology 49 (May 21, 2023): 93–100. http://dx.doi.org/10.54097/hset.v49i.8451.

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With the upgrading of consumption and the improvement of living standards, a group of new type photo studios represented by HIMO Photo Studio have arisen and developed dramatically and become the benchmark of the era in the portrait photography industry. In this paper, we apply LDA topic classification and TF-IDF feature extraction method to conduct text feature extraction and encoding vectorization on the comment data of Beijing HIMO Photo Studio. An ordered regression model with customer satisfaction as the responding variable is established, and the interaction effect is also introduced int

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Li, Ping, Jin Quan Zhang, Jian Guo Nie, Jian Ming Lu, Wan Heng Li, and Mo Hai Yuan. "Photogrametry-Based 3D Modeling and Measurement for Scale Model of an Arch Bridge." Applied Mechanics and Materials 226-228 (November 2012): 1591–96. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.1591.

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The real and measurable model is helpful for structure simulation. Photogrammetry technology provides a new method to model a structure by photos. This article explored the feasibility of photo-based 3D modeling for the arc bridge structures by ordinary digital camera. Firstly, the preparation processes before modeling were introduced, that included camera calibration, designation of shooting program, how to take photos and plan measurement. Secondly, photo orientation and modeling process were introduced, too. A measurement test was put forward to get some good points to enhance the accuracy.

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Tian, Hongzhi, and Jirong Wang. "A Variable Photo-Model Method for Object Pose and Size Estimation with Stereo Vision in a Complex Home Scene." Sensors 23, no. 15 (2023): 6924. http://dx.doi.org/10.3390/s23156924.

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Model-based stereo vision methods can estimate the 6D poses of rigid objects. They can help robots to achieve a target grip in complex home environments. This study presents a novel approach, called the variable photo-model method, to estimate the pose and size of an unknown object using a single photo of the same category. By employing a pre-trained You Only Look Once (YOLO) v4 weight for object detection and 2D model generation in the photo, the method converts the segmented 2D photo-model into 3D flat photo-models assuming different sizes and poses. Through perspective projection and model

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Magnussen, Steen. "A method for enhancing tree species proportions from aerial photos." Forestry Chronicle 73, no. 4 (1997): 479–87. http://dx.doi.org/10.5558/tfc73479-4.

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Data on tree species richness of forests are needed for sustainable management. Photo interpreted data is a mainstay of forest inventories in Canada but is known to simplify the species composition of stands in accordance with the objective of providing stand descriptors. Species proportions estimated from aerial photos will often deviate significantly from ground based sample estimates. More tree species are usually found in the latter. To enhance photo-interpreted species proportions to better match ground observations this study proposes a cross-correlation memory matrix model as the most p

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Phelps, G. J. "Photon enhanced diffusion model for α-Si:H photo-degradation". Semiconductor Science and Technology 21, № 1 (2005): 91–103. http://dx.doi.org/10.1088/0268-1242/21/1/017.

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Setiawan, Sony, Asep Adang Supriyadi, Pujo Widodo, and Djoko Andreas Navalino. "Aerial photo database model of Indonesia's national territory in a Geospatial intelligence perspective." Journal of Applied and Natural Science 16, no. 2 (2024): 637–45. http://dx.doi.org/10.31018/jans.v16i2.5468.

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The National Aerial Photo Database is a collection of aerial photographs obtained through aerial photography using specific cameras or sensors with manned or unmanned aerial vehicles across the territory of the Republic of Indonesia. These photographs are stored in a computer system for easy access, management, and updating. No national aerial photo database system currently meets the need for accurate and complete aerial photos and other geospatial information to support decision-making. The present study aimed to develop a model for the National Aerial Photo Database from a geospatial intell

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Wang, Bairui, Lin Ma, Wei Zhang, Wenhao Jiang, and Feng Zhang. "Hierarchical Photo-Scene Encoder for Album Storytelling." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8909–16. http://dx.doi.org/10.1609/aaai.v33i01.33018909.

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In this paper, we propose a novel model with a hierarchical photo-scene encoder and a reconstructor for the task of album storytelling. The photo-scene encoder contains two subencoders, namely the photo and scene encoders, which are stacked together and behave hierarchically to fully exploit the structure information of the photos within an album. Specifically, the photo encoder generates semantic representation for each photo while exploiting temporal relationships among them. The scene encoder, relying on the obtained photo representations, is responsible for detecting the scene changes and

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Bedoya-Lora, Franky E., Anna Hankin, and Geoff H. Kelsall. "En route to a unified model for photo-electrochemical reactor optimisation. I - Photocurrent and H2 yield predictions." Journal of Materials Chemistry A 5, no. 43 (2017): 22683–96. http://dx.doi.org/10.1039/c7ta05125e.

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Smith, Allison M., Megan N. Silvia, Hannah Rogan, and Alyssa A. Lebel. "The Photo- and Phonosensitivity Avoidance Behavior Scales: Evaluating Clinical Utility in Pediatric Primary Chronic Headache." Children 11, no. 11 (2024): 1338. http://dx.doi.org/10.3390/children11111338.

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Background/Objectives: Pediatric primary chronic headache disorders are often associated with sensitivities to light (photosensitivity) and sound (phonosensitivity) that may trigger or worsen headache pain. These sensory sensitivities may result in changes to activity participation or environmental modifications to avoid visual and auditory stimuli. Over time, avoidance behaviors can inadvertently increase functional disability, suggesting the importance of their thorough consideration. The PhotoSensitivity and PhonoSensitivity Avoidance Behavior Scales (PHOTO-SABS and PHONO-SABS, respectively

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Malik, Aqdas, Kari Hiekkanen, Amandeep Dhir, and Marko Nieminen. "Impact of privacy, trust and user activity on intentions to share Facebook photos." Journal of Information, Communication and Ethics in Society 14, no. 4 (2016): 364–82. http://dx.doi.org/10.1108/jices-06-2015-0022.

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Purpose The popularity of Facebook photo sharing has not only seen a surge in the number of photos shared but also has raised various issues concerning user privacy and self-disclosure. Recent literature has documented the increasing interest of the research community in understanding various privacy issues concerning self-disclosures on Facebook. However, little is known about how different privacy issues, trust and activity influence users’ intentions to share photos on Facebook. To bridge this gap, a research model was developed and tested to better understand the impact of privacy concerns

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Jung, Yunjae, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, and In So Kweon. "Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 11213–20. http://dx.doi.org/10.1609/aaai.v34i07.6780.

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Visual storytelling is a task of creating a short story based on photo streams. Unlike existing visual captioning, storytelling aims to contain not only factual descriptions, but also human-like narration and semantics. However, the VIST dataset consists only of a small, fixed number of photos per story. Therefore, the main challenge of visual storytelling is to fill in the visual gap between photos with narrative and imaginative story. In this paper, we propose to explicitly learn to imagine a storyline that bridges the visual gap. During training, one or more photos is randomly omitted from

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Kuo, Tien-Ying, Yu-Jen Wei, Po-Chyi Su, and Tzu-Hao Lin. "Learning-Based Image Damage Area Detection for Old Photo Recovery." Sensors 22, no. 21 (2022): 8580. http://dx.doi.org/10.3390/s22218580.

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Most methods for repairing damaged old photos are manual or semi-automatic. With these methods, the damaged region must first be manually marked so that it can be repaired later either by hand or by an algorithm. However, damage marking is a time-consuming and labor-intensive process. Although there are a few fully automatic repair methods, they are in the style of end-to-end repairing, which means they provide no control over damaged area detection, potentially destroying or being unable to completely preserve valuable historical photos to the full degree. Therefore, this paper proposes a dee

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Bhargavi Jangam, Ashwin Bharatha, Tagore Lavishetty, and M D Rehan. "Forensic sketch-to-photo transformation with improved Generative Adversarial Network (GAN)." International Journal of Science and Research Archive 14, no. 1 (2025): 1216–20. https://doi.org/10.30574/ijsra.2025.14.1.0204.

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Forensic sketch-to-photo transformation is a critical technique in criminal investigations in which forensic artists detail their drawings based on eyewitness descriptions. However, sketch-to-photo traditional methods are not an exception to the usual differences between sketch detail and photograph style. This system aims at improving the accuracy and realism of sketch-to photo transformation through an improved Generative Adversarial Network. The system aims to leverage advanced GAN architectures to bridge the gap between sketches and photos by learning intricate mappings and stylistic nuanc

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Pratt, T. "From photo to 3D model." IEE Review 46, no. 1 (2000): 9–12. http://dx.doi.org/10.1049/ir:20000103.

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Sujatha, Dr K., Koulik Ghsoh, and Aneesh Anand. "Domain Adaptation and Semantic Drawing Driven Sketch-to-Photo Retrieval using Collaborative Generative Representation Learning." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 1473–80. http://dx.doi.org/10.22214/ijraset.2024.61734.

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Abstract: Sketch-based face recognition is an interesting task in vision and multimedia research yet it is quite challenging due to the great difference between face photos and sketches. In this paper we propose a novel approach for photo-sketch generation aiming to automatically transform face photos into detail-preserving personal sketches. Unlike the traditional models synthesizing sketches based on a dictionary of exemplars we develop a fully convolutional network to learn the end-to-end photosketch mapping. Our approach takes whole face photos as inputs and directly generates the correspo

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Niswah Selmi Kaffa, Regita Faridatunisa Wijayanti, Taufik Kusetiyohadi, et al. "The Analysis of GCP Correction Toward GNSS-PPK for LandRegistration Base-map in Muktisari Village, Cipaku District, Ciamis Regency." Jurnal Teknik: Media Pengembangan Ilmu dan Aplikasi Teknik 23, no. 2 (2025): 91–99. https://doi.org/10.55893/jt.vol23no2.571.

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The Comprehensive Systematic Land Registration Program (PTSL) main requirement is land registration map in a scale of 1:1000 and horizontal accuracy (CE90) class 1 of 0,3 meters. Global Navigation Satellite System–Post Processing Kinematic (GNSS-PPK) provides good accuracy without Ground Control Point (GCP) correction, thus reducing cost and data acquisition time. GNSS-PPK without GCP correction is considered accurate in areas <500 meters elevation. This research aims to determine the GCP correction importance for photo accuracy in PPK process. This study analyzes aerial photo accuracy with

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Daegal, Andre, and Rianto Rianto. "Implementasi ESPCN untuk Meningkatkan Kualitas Foto dan Akurasi Model Klasifikasi Menggunakan CNN." Jurnal Telematika 18, no. 1 (2023): 1–6. http://dx.doi.org/10.61769/telematika.v18i1.559.

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Dalam pelaksanaan penelitian sering kali dijumpai hambatan media pendukung untuk menunjang berlangsungnya observasi dan eksperimen yang diteliti. Terutama pada kasus penelitian yang melibatkan foto, tidak sedikit permasalahan kualitas yang menggunakan kamera menunjukkan hasil yang tidak ideal, seperti timbul remang-remang, titik-titik berwarna yang mengganggu, maupun gangguan lainnya. Sejalan dengan perkembangan teknologi yang saat ini melaju pesat, persoalan tersebut mampu diatasi dengan pemrograman komputer melalui Opensource Computer Vision Library (OpenCV). OpenCV ini merupakan modul pemro

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Kang, Youngok, Nahye Cho, Jiyoung Yoon, Soyeon Park, and Jiyeon Kim. "Transfer Learning of a Deep Learning Model for Exploring Tourists’ Urban Image Using Geotagged Photos." ISPRS International Journal of Geo-Information 10, no. 3 (2021): 137. http://dx.doi.org/10.3390/ijgi10030137.

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Recently, as computer vision and image processing technologies have rapidly advanced in the artificial intelligence (AI) field, deep learning technologies have been applied in the field of urban and regional study through transfer learning. In the tourism field, studies are emerging to analyze the tourists’ urban image by identifying the visual content of photos. However, previous studies have limitations in properly reflecting unique landscape, cultural characteristics, and traditional elements of the region that are prominent in tourism. With the purpose of going beyond these limitations of

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Zhou, Tongqing, Zhiping Cai, and Fang Liu. "The Crowd Wisdom for Location Privacy of Crowdsensing Photos." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 3 (2021): 1–23. http://dx.doi.org/10.1145/3478106.

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The incorporation of the mobile crowd in visual sensing provides a significant opportunity to explore and understand uncharted physical places. We investigate the gains and losses of the involvement of the crowd wisdom on users' location privacy in photo crowdsensing. For the negative effects, we design a novel crowdsensing photo location inference model, regardless of the robust location protection techniques, by jointly exploiting the visual representation, correlation, and geo-annotation capabilities extracted from the crowd. Compared with existing retrieval-based and model-based location i

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Xu, Hang, and Min Yue Li. "Nano-ZnO Photocatalytic Kinetics Based on Photo-Layer Model." Advanced Materials Research 550-553 (July 2012): 2819–23. http://dx.doi.org/10.4028/www.scientific.net/amr.550-553.2819.

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Nano-ZnO powders were prepared through gel-sol method with zinc acetate and lithium hydroxide as crude material. Nano-ZnO, as photo-catalyst, was used to decompose Methylene Blue at air lift circulating reactor and Photo-Layer model to describe photocatalytic kinetics. The results show that nano-ZnO has a integrate crystal and its size is 6.6nm with the best photocatalytic performance, when calcined at 350oC. The best ZnO dosage is 0.1g/L with 97% Methylene Blue removal after 30min. The photocatalytic process was the control step in chemical reaction. The •OH concentration inside the photo-lay

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Raden Seandy Novaryansyah Pradana Putra, Desi Riani, and Sutan Parasian Silitonga. "Pembuatan Digital Elevation Model Universitas Palangka Raya Menggunakan Drone dan GPS Geodetik." Basement : Jurnal Teknik Sipil 1, no. 1 (2023): 33–40. http://dx.doi.org/10.36873/basement.v1i1.8222.

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The Digital Elevation Model (DEM) contains elevation and slope information, making interpretation easierso that it is a fundamental element of geospatial data and can be used as a mapping source. The use oftechnology in the field of photogrammetric mapping is demonstrated by the use of Unmanned Aerial Vehicle(UAV) or drones in mapping and Geodetic GPS tied to benchmarks to obtain Ground Control Point (GCP)coordinates as ground control points. This research aims to make the Palangka Raya University DEM usingUAV and Geodetic GPS. In processing aerial photo data, the photogrammetric method is use

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Zhang, Yang, Ziyi Kou, Lanyu Shang, Huimin Zeng, Zhenrui Yue, and Dong Wang. "A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 12 (2023): 14637–45. http://dx.doi.org/10.1609/aaai.v37i12.26711.

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In artificial intelligence (AI), negative social impact (NSI) represents the negative effect on the society as a result of mistakes conducted by AI agents. While the photo classification problem has been widely studied in the AI community, the NSI made by photo misclassification is largely ignored due to the lack of quantitative measurements of the NSI and effective approaches to reduce it. In this paper, we focus on an NSI-aware photo classification problem where the goal is to develop a novel crowd-AI collaborative learning framework that leverages online crowd workers to quantitatively esti

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WANG, Yuan, Gaojia LI, and Wenhao YUE. "Prediction Model of Photo-thermal Power Generation Based on G (1,1) Optimization." MATEC Web of Conferences 246 (2018): 02057. http://dx.doi.org/10.1051/matecconf/201824602057.

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In this paper, the photo-thermal power generation model is obtained by studying the operation process of solar radiation , light and thermal power generation equipment. By solving the gray model parameters by particle swarm optimization, a prediction model of light and heat generation based on G (1,1) optimization is proposed. In the case of example analysis, the amount of electricity generated by the solar radiation in the past few years was based on the photo-thermal power generation model, and the light and thermal power generation prediction model is used to obtain the photo-thermal power

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YURGENEVA, Alexandra L. "Model, Character, Hero in the Photo." International Journal of Cultural Research, no. 1 (2024): 37–49. http://dx.doi.org/10.52173/2079-1100_2024_1_37.

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The article attempts to analyse how the concepts of model, character and hero relate to the practices of creating a photo portrait. Just as photography itself is able to change its meaning depending on the environment where its interpretation takes place, there is a situational use of words denoting the captured person in the scientific literature. The problem is marked by the ambiguity of the relationship between the photographer, the subject and the emerging image. Digital photography, being actively involved in the processes of virtual communication, forces us to pay more attention to the i

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Luty, T., T. Ogawa, Y. Okajima, et al. "Photo-Induced Transformations: Three States Model." Phase Transitions 75, no. 7-8 (2002): 659–71. http://dx.doi.org/10.1080/01411590290033769.

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Giustolisi, Gianluca, Paolo Finocchiaro, Alfio Pappalardo, and Gaetano Palumbo. "Behavioral Model of Silicon Photo-Multipliers Suitable for Transistor-Level Circuit Simulation." Electronics 10, no. 13 (2021): 1551. http://dx.doi.org/10.3390/electronics10131551.

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Silicon Photomultipliers (SiPMs) are photo-electronic devices able to detect single photons and permit the measurement of weak optical signals. Single-photon detection is accomplished through high-performance read-out front-end electronics whose design needs accurate modeling of the photomultiplier device. In the past, a useful model was developed, but it is limited to the device electrical characteristic and its parameter extraction procedure requires several measurement steps. A new silicon photomultiplier model is proposed in this paper. It exploits the Verilog-a behavioral language and is

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Epstein, J. B., K. Osann, M. Wilson, J. Pharar, H. Kawakami-Wong, and P. W. Smith. "Photo-detection and photo-destruction of oral neoplasia in an animal model." Journal of Clinical Oncology 26, no. 15_suppl (2008): 17025. http://dx.doi.org/10.1200/jco.2008.26.15_suppl.17025.

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Wang, En, Zhengdao Qu, Xinyao Liang, et al. "Storage Management Strategy in Mobile Phones for Photo Crowdsensing." Sensors 20, no. 8 (2020): 2199. http://dx.doi.org/10.3390/s20082199.

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In mobile crowdsensing, some users jointly finish a sensing task through the sensors equipped in their intelligent terminals. In particular, the photo crowdsensing based on Mobile Edge Computing (MEC) collects pictures for some specific targets or events and uploads them to nearby edge servers, which leads to richer data content and more efficient data storage compared with the common mobile crowdsensing; hence, it has attracted an important amount of attention recently. However, the mobile users prefer uploading the photos through Wifi APs (PoIs) rather than cellular networks. Therefore, phot

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Siampiringue, Marie, Rajae Chahboune, Pascal Wong-Wah-Chung, and Mohamed Sarakha. "Carbaryl Photochemical Degradation on Soil Model Surfaces." Soil Systems 3, no. 1 (2019): 17. http://dx.doi.org/10.3390/soilsystems3010017.

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The phototransformation of carbaryl was investigated upon solar light exposure on three surfaces, silica, kaolin and sand, as soil models. By excitation with a Suntest set up at the surface of the three solid supports, the degradation of carbaryl followed first-order kinetics with a rate constant of 0.10 h−1. By using the Kubelka Munk model, the quantum yield disappearance at the surface of kaolin was evaluated to 2.4 × 10−3. Such a value is roughly one order of magnitude higher than that obtained in aqueous solutions. The results indicated that the particle size and the specific surface area

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Xu, Bin, Guoliang Fan, and Dan Yang. "Topic Modeling Based Image Clustering by Events in Social Media." Scientific Programming 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/5283471.

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Social event detection in large photo collections is very challenging and multimodal clustering is an effective methodology to deal with the problem. Geographic information is important in event detection. This paper proposed a topic model based approach to estimate the missing geographic information for photos. The approach utilizes a supervised multimodal topic model to estimate the joint distribution of time, geographic, content, and attached textual information. Then we annotate the missing geographic photos with a predicted geographic coordinate. Experimental results indicate that the clu

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Betaubun, Restu Monika Nia, Elvis Pawan, and Endang Yuliasih. "Face Recognition with Backpropagation Artificial Neural Networks Using the Sigmoid Activation Function." International Journal of Computer and Information System (IJCIS) 3, no. 3 (2022): 121–26. http://dx.doi.org/10.29040/ijcis.v3i3.82.

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In the current development of information technology facilities that are so rapid and complex, the reliability of a system that processes data properly will produce good information. The use of computers today is not only to help human work, but has also replaced human work in various fields. The purpose of this research is to design an image model in an application program. This existing digital image can then be used for various purposes. One way is to take photos on a driver's license (SIM), when taking photos directly using a digital camera and facial photo files are also directly stored i

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Banerjee, Abhijit. "Wavelength dependent photosensitivity modulation of Aluminium/Lead sulphide/Indium tin oxide back-to-back diode." INTERNATIONAL JOURNAL OF EXPERIMENTAL RESEARCH AND REVIEW 22 (August 30, 2020): 1–7. http://dx.doi.org/10.52756/ijerr.2020.v22.001.

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The photosensitivity of aluminium (Al)/lead sulphide (PbS)/indium tin oxide (ITO) thin layered structure is investigated considering the photon wavelength dependent current-voltage and capacitance-voltage characteristics of the device. The current-voltage characteristics of the test structure are analyzed adopting the back-to-back Schottky barrier diode model. The diode possesses low dark current in contrast to the high value of photocurrents measured under different illumination wavelengths. The change in photocurrents with different illumination wavelengths clearly indicates the change in ph

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KASAPOGLU, E., H. SARI, U. YESILGUL, and I. SÖKMEN. "THE ELECTRIC FIELD DEPENDENCE OF THE PHOTOIONIZATION CROSS-SECTION OF SHALLOW DONOR IMPURITIES IN QUANTUM DOTS: INFINITE AND FINITE MODEL." Surface Review and Letters 13, no. 06 (2006): 747–52. http://dx.doi.org/10.1142/s0218625x06008797.

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Using a variational approach, we have calculated the photo-ionization cross-section of a shallow donor impurity in a quantum dot with finite and infinite potential barriers in the presence of an electric field as a function of the photon energy. Our calculations have revealed the dependence of the photoionization cross-section on the electric field, the size of the quantum dot and the impurity position.

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Kim, Jiyeon, and Youngok Kang. "Automatic Classification of Photos by Tourist Attractions Using Deep Learning Model and Image Feature Vector Clustering." ISPRS International Journal of Geo-Information 11, no. 4 (2022): 245. http://dx.doi.org/10.3390/ijgi11040245.

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With the rise of social media platforms, tourists tend to share their experiences in the form of texts, photos, and videos on social media. These user-generated contents (UGC) play an important role in shaping tourism destination images (TDI) and directly affect the decision-making process of tourists. Among UGCs, photos represent tourists’ visual preferences for a specific area. Paying attention to the value of photos, several studies have attempted to analyze them using deep learning technology. However, the research methods that analyze tourism photos using recent deep learning technology h

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Мikhaylova, Tatyana, Darya Roshchina, and Elena Мikhaylova. "Stochactic Model of Charge Separation in Photo Excited Molecular Triad." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 1. Mathematica. Physica, no. 3 (September 2016): 63–72. http://dx.doi.org/10.15688/jvolsu1.2016.3.6.

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Piao, Daqing. "Phenomenological Interpretations of Some Somatic Temporal and Spatial Patterns of Biophoton Emission in Humans." Journal of Scientific Exploration 35, no. 2 (2021): 345–82. http://dx.doi.org/10.31275/20211685.

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Biophoton emission remains controversial. The photo-genic origin of biophoton has been attributed to the oxidative stress or free radical production. However, there are considerable gaps in quantitative understanding of biophoton emission. I propose an analytical hypothesis for interpreting a few patterns of steady-state biophoton emission of human, including the dependency on age, the diurnal variation, and the geometric asymmetry associated with serious asymmetrical pathological conditions. The hypothesis is based on an alternative form of energy state, termed vivo-nergy, which is associated

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Franz, Don. "The New Personalized Photo Products Business Model." International Symposium on Technologies for Digital Photo Fulfillment 2009, no. 1 (2009): 80–83. http://dx.doi.org/10.2352/issn.2169-4672.2009.2.0.80.

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Tsuchiura, Hiroki, Hideaki Kasai, and Ayao Okiji. "A Model Calculation for Photo-Stimulated Desorption." Journal of the Physical Society of Japan 66, no. 9 (1997): 2805–10. http://dx.doi.org/10.1143/jpsj.66.2805.

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Xu, Kai, Hanlin Zheng, Hao Zhang, Daniel Cohen-Or, Ligang Liu, and Yueshan Xiong. "Photo-inspired model-driven 3D object modeling." ACM Transactions on Graphics 30, no. 4 (2011): 1–10. http://dx.doi.org/10.1145/2010324.1964975.

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Wang, Ruoyan. "An Old Photo Image Restoration Processing Based on Deep Neural Network Structure." Wireless Communications and Mobile Computing 2022 (March 21, 2022): 1–12. http://dx.doi.org/10.1155/2022/7415342.

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Old photos retain precious historical image information, but today’s existing old photos often have varying degrees of damage. Although these old photos can be digitally processed and then restored, the restoration of old photos involves multiple areas of image restoration and has various types of degradation. Currently, there is no unified model for repairing multiple types of degradation of old photos. Photo restoration technology still has a lot of developments. Traditional image restoration technology mainly repairs the missing areas of the image based on mathematical formulas or thermal d

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Murga, M. S., D. S. Wiebe, E. E. Sivkova, and V. V. Akimkin. "shiva: a dust destruction model." Monthly Notices of the Royal Astronomical Society 488, no. 1 (2019): 965–77. http://dx.doi.org/10.1093/mnras/stz1724.

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ABSTRACTWe present a numerical tool, shiva, designed to simulate the dust destruction in warm neutral, warm ionized and hot ionized media under the influence of photo-processing, sputtering and shattering. The tool is designed primarily to study the evolution of hydrogenated amorphous carbons (HACs), but options to simulate polycyclic aromatic hydrocarbons (PAHs), silicate and graphite grains are also implemented. HAC grain photo-processing includes both dehydrogenation and carbon atom loss. Dehydrogenation leads to material transformation from aliphatic to aromatic structure. Simultaneously,

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Nakano, T., I. Kamiya, M. Tobita, J. Iwahashi, and H. Nakajima. "Landform monitoring in active volcano by UAV and SfM-MVS technique." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 27, 2014): 71–75. http://dx.doi.org/10.5194/isprsarchives-xl-8-71-2014.

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Nishinoshima volcano in Ogasawara Islands has erupted since November, 2013. This volcanic eruption formed and enlarged a new island, and fused the new island with the old Nishinoshima Island. We performed automated aerial photographing using an Unmanned Aerial Vehicle (UAV) over the joined Nishinoshima Island on March 22 and July 4, 2014. We produced ortho-mosaic photos and digital elevation model (DEM) data by new photogrammetry software with computer vision technique, i.e. Structure from Motion (SfM) for estimating the photographic position of the camera and Multi-view Stereo (MVS) for gener

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Pavlov, Victor, Valerii Gridnev, Roman Pisarev, et al. "Femtosecond Photo-Induced Phenomena in Multiferroic Hexagonal Manganite YMnO₃." Solid State Phenomena 233-234 (July 2015): 149–52. http://dx.doi.org/10.4028/www.scientific.net/ssp.233-234.149.

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Transient optical anisotropy in the hexagonal manganite YMnO3excited by linearly and circularly polarized laser pulses has been observed. The photo-induced anisotropy was investigated by the pump-probe technique based on a femtosecond Ti:sapphire laser generating optical pulses at the photon energy of 1.55 eV. Temporal and spectral dependencies of the photo-induced optical rotation and ellipticity were analyzed by a theoretical model considering ultrafast population and relaxation processes near the interband transitions from the hybridized O2−(2p)-Mn3+(3d) (Γ1) to the Mn3+(3d3z2−r2) (Γ5) stat

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Novita, Dwi Wulandari. "Discussing the Fashion Style of K-Pop Artist in Indonesia." International Journal of Social Science and Human Research 07, no. 07 (2024): 4540–44. https://doi.org/10.5281/zenodo.12624287.

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This research stems from the author's concerns about seeing the phenomenon of local fashion styles in photos uploaded to Taeyong NCT's Instagram when he was in Indonesia. The aim of this research is to reveal Taeyong NCT's local fashion style which represents Indonesian culture. This research uses qualitative research methods with Peirce's semiotic approach. The findings from this research are that the fashion worn by Taeyong represents culture, while the style displayed is the style of a photo model. So, his fashion style interprets that Taeyong is "playing a role" as someone with Indonesian

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Ikeri, H. I., A. I. Onyia, and F. N. Kalu. "Hot carrier exploitation strategies and model for efficient solar cell applications." Chalcogenide Letters 18, no. 11 (2021): 745–57. http://dx.doi.org/10.15251/cl.2021.1811.745.

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Hot carriers are electrons or holes that are created in semiconductors upon the absorption of photons with energies greater than the fundamental bandgap. The excess energy of the hot carrier cools to the lattice temperature via carrier–phonon scattering and wasted as heat in [the] picoseconds timescale. The hot-carrier cooling represents a severe loss in the solar cells that have significantly limits their power conversion efficiencies. Hot carrier solar cells aim to mitigate this optical limitation by effective utilization of carriers at elevated energies. However, exploitation of hot carrier

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Ren, Danping, Jiajun Yang, and Zhongcheng Wei. "Multi-Level Cycle-Consistent Adversarial Networks with Attention Mechanism for Face Sketch-Photo Synthesis." Sensors 22, no. 18 (2022): 6725. http://dx.doi.org/10.3390/s22186725.

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The synthesis between face sketches and face photos has important application values in law enforcement and digital entertainment. In cases of a lack of paired sketch-photo data, this paper proposes an unsupervised model to solve the problems of missing key facial details and a lack of realism in the synthesized images of existing methods. The model is built on the CycleGAN architecture. To retain more semantic information in the target domain, a multi-scale feature extraction module is inserted before the generator. In addition, the convolutional block attention module is introduced into the

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Ansari, Zoe, Adriano Agnello, and Christa Gall. "Mixture models for photometric redshifts." Astronomy & Astrophysics 650 (June 2021): A90. http://dx.doi.org/10.1051/0004-6361/202039675.

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Context. Determining photometric redshifts (photo-zs) of extragalactic sources to a high accuracy is paramount to measure distances in wide-field cosmological experiments. With only photometric information at hand, photo-zs are prone to systematic uncertainties in the intervening extinction and the unknown underlying spectral-energy distribution of different astrophysical sources, leading to degeneracies in the modern machine learning algorithm that impacts the level of accuracy for photo-z estimates. Aims. Here, we aim to resolve these model degeneracies and obtain a clear separation between

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Elka Pratama, Adam, and Pusvita Yuana. "ANALISIS PENGEMBANGAN BISNIS DENGAN MENGGUNAKAN BMC (BUSINESS MODEL CANVAS)." Jurnal Kewirausahaan dan Inovasi 1, no. 2 (2022): 163–69. http://dx.doi.org/10.21776/jki.2022.01.2.05.

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The research entitled "Analysis of Business Development Using the BMC (Business Model Canvas) Method for Anugerah Jaya Photo Copy Business" aims to formulate a new business model and also carry out business development on Anugerah Jaya Photo Copy. The method used in conducting this research is a qualitative method, while the data collection for processing carried out in this research is by means of interviews, questionnaires, and observations. Business development aims to find out what a company needs to increase the existing revenue in a company. The existence of a new business model formulat

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Muhammad, Aqil, Dian Pratiwi, and Agus Salim. "Penerapan Metode Convolutional Neural Networks pada Pengenalan Gender Manusia berdasarkan Foto Tampak Depan." Jurnal Komtika (Komputasi dan Informatika) 7, no. 2 (2023): 114–23. http://dx.doi.org/10.31603/komtika.v7i2.9937.

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Recognition is one of the many problems encountered today, this problem has several ways to be solved. This research used Convolutional Neural Networks (CNN), which is a deep neural networks method as a means of face recognition, which has been proven to be widely used in face classification, using a dataset of male and female facial photos totaling 27,167 photos, of which 17,678 are male and 9,489 are male. woman. To avoid unbalanced data processing, the researchers disguised the photos of women and men so that the total photos used for the training amounted to 18,978 photos. Besides that, th

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