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Artykuły w czasopismach na temat „Memory upload”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Majid, Fatria Ikram. "COMPARISON ANALYSIS PERFORMANCE OF SYNOLOGY NAS AND XIGMANAS WITH RAID CONFIGURATION." JAICT 7, no. 2 (2022): 107. http://dx.doi.org/10.32497/jaict.v7i2.3774.

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<em>This research is to find out which NAS performance is the best in handling file delivery with RAID configuration, the methods needed in this test include transfer rate parameters, CPU and Memory resource usage, and QoS which includes throughput, delay, and packet loss by uploading and testing. download with variations in different file capacities. The results showed that synology is better in the transfer rate parameters of both RAID configurations, both upload and download, with the delivery of variations in file capacity delivery with an average transfer rate of 116-118MBps, and xi

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Rosengren, Rainer, and W. Fortelius. "Ortstreue in foraging ants of the Formica rufa group - hierarchy of orienting cues and long-term memory." Insectes Sociaux 33, no. 3 (1998): 306–37. https://doi.org/10.1007/BF02224248.

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Canto-Vivanco, Elber E., Sebastian Ramos-Cosi, Victor N. Romero-Alva, Natalia I. Vargas-Cuentas, and Avid Roman-Gonzalez. "Development of a payload for monitoring biological samples in microgravity and hypergravity conditions." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 1 (2024): 78. http://dx.doi.org/10.11591/ijeecs.v35.i1.pp78-89.

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This research aims to address the need for monitoring the behavior of organic and inorganic materials in hypergravity conditions. To fulfill this objective, a container with specific features was designed. The container has a box with a lid, measuring 10×10×10 cm, conforming to the 1U volume of the CubeSat standard. It includes four cylindrical spaces to accommodate the sample wells. The container was 3D printed using polylactic acid (PLA) wire. For the electronic components, four ESP32-CAM modules were utilized, with two programmed to capture and upload photos to the cloud, and the other two

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Canto-Vivanco, Elber E., Sebastian Ramos-Cosi, Victor N. Romero-Alva, Natalia I. Vargas-Cuentas, and Avid Roman-Gonzalez. "Development of a payload for monitoring biological samples in microgravity and hypergravity conditions." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 1 (2024): 78–89. https://doi.org/10.11591/ijeecs.v35.i1.pp78-89.

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This research aims to address the need for monitoring the behavior of organic and inorganic materials in hypergravity conditions. To fulfill this objective, a container with specific features was designed. The container has a box with a lid, measuring 10×10×10 cm, conforming to the 1U volume of the CubeSat standard. It includes four cylindrical spaces to accommodate the sample wells. The container was 3D printed using polylactic acid (PLA) wire. For the electronic components, four ESP32-CAM modules were utilized, with two programmed to capture and upload photos to the cloud, and th

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Milošević, Ana. "Back to the future, forward to the past: Croatian politics of memory in the European Parliament." Nationalities Papers 45, no. 5 (2017): 893–909. http://dx.doi.org/10.1080/00905992.2017.1289368.

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This paper discusses the way in which a post-conflict European Union (EU) member immediately after accession both shapes and adapts to EU memory politics as a part of its Europeanization process. I will analyze how the country responds to the top-down pressures of Europeanization in the domestic politics of memory by making proactive attempts at exporting its own politics of memory (discourses, policies, and practices) to the EU level. Drawing evidence from Croatian EU accession, I will consider how Croatian members of the European Parliament “upload” domestic memory politics to the EU level,

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Fontanini, Walter M. "Filozófiai és etikai reflexiók a digitális halhatatlanságról és a kiberthanatológiai perspektíváról." KHARÓN · Thanatológiai Szemle 2025, no. 2 (2025): 36–58. https://doi.org/10.5281/zenodo.15460860.

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This perspective article explores the emerging field of cyberthanatology, which examines the intersections of death, mourning and digital technologies. Focusing on digitalimmortality - the preservation and simulation of aspects of human identity through artificial intelligence, virtual reality, and memory uploading - it explores how these innovations challenge traditional understandings of mortality and mourning. Drawing on the philosophical frameworks of thinkers such as Locke, Heidegger and Kierkegaard, the article critically assesses the existential and ethical implications of digitally pre

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Khandelwal, Karan, Krishiv Pandita, Kshitij Priyankar, Kumar Parakram, and Tejaswini K. "Svara Rachana - Audio Driven Facial Expression Synthesis." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 2024–29. http://dx.doi.org/10.22214/ijraset.2024.62019.

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Abstract: Svara Rachana is a fusion of artificial intelligence and facial animation which aims to revolutionize the field of digital communication. Harnessing the ever-evolving power of neural networks in the form of Long Short-Term Memory (LSTM) model, Svara Rachana offers a cutting edge, interactive web application designed to synchronize human speech with realistic 3D facial animation. Users can upload or record an audio file and upload it to the web interface containing human speech, with the core functionality being the generation of synchronized lip movements on a 3D avatar. The system g

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Romadhon, Rifki Hari, Nugroho Suharto, and Aad Hariyadi. "RASPBERRY PI SEBAGAI STORAGE VERSION CONTROL SYSTEM TUGAS MAHASISWA POLITEKNIK NEGERI MALANG." JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) 3, no. 1 (2021): 11–20. http://dx.doi.org/10.26905/jasiek.v3i1.7793.

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File transfer technology is now beginning to develop rapidly, many researchers have begun to develop file transfer methods, now file transfer is present in daily life in various ways. For example, in human life there are many more uses of flash memory for the process of moving files. This makes it risky to get a virus from another computer or laptop that results in file loss. In this study, we are developing a file transfer that can simultaneously manage the user to apply file version control so that the file is still written to the repository and has its own version of each uploaded file. It

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Öztekin, Halit. "BiCAM-based automated scoring system for digital logic circuit diagrams." Open Chemistry 20, no. 1 (2022): 1548–56. http://dx.doi.org/10.1515/chem-2022-0258.

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Abstract In online education, it is critical for the quality of education to evaluate and grade the assignments or examinations that students upload to the system. However, it is time-consuming to determine how well the circuit drawings prepared for the digital logic course, which is a fundamental course in computer engineering and similar disciplines, are not only correct but also compatible with the truth table. Content-addressable memory (CAM), also known as associative memory, is a data storage and retrieval unit. Typically, it is used instead of the conventional memories in fast-paced and

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Shin, Dong-Jin, and Jeong-Joon Kim. "Cache-Based Matrix Technology for Efficient Write and Recovery in Erasure Coding Distributed File Systems." Symmetry 15, no. 4 (2023): 872. http://dx.doi.org/10.3390/sym15040872.

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With the development of various information and communication technologies, the amount of big data has increased, and distributed file systems have emerged to store them stably. The replication technique divides the original data into blocks and writes them on multiple servers for redundancy and fault tolerance. However, there is a symmetrical space efficiency problem that arises from the need to store blocks larger than the original data. When storing data, the Erasure Coding (EC) technique generates parity blocks through encoding calculations and writes them separately on each server for fau

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S., Velmurugan, Prakash M., Neelakandan S., and Eric Ofori Martinson. "An Efficient Secure Sharing of Electronic Health Records Using IoT-Based Hyperledger Blockchain." International Journal of Intelligent Systems 2024 (March 22, 2024): 1–16. http://dx.doi.org/10.1155/2024/6995202.

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Electronic Health Record (EHR) systems are a valuable and effective tool for exchanging medical information about patients between hospitals and other significant healthcare sector stakeholders in order to improve patient diagnosis and treatment around the world. Nevertheless, the majority of the hospital infrastructures that are now in place lack the proper security, trusted access control, and management of privacy and confidentiality concerns that the current EHR systems are supposed to provide. Goal. For various EHR systems, this research proposes a Blockchain-enabled Hyperledger Fabric Ar

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Zhang, Ya Lin. "Research on Cloud Servicer Dynamically Select Models in Music VoD Hybrid Network Environment." Applied Mechanics and Materials 713-715 (January 2015): 2321–24. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2321.

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Video server providers invest more and more on the server, for how to provide a stable and low-cost continuous service to users of this problem. In this paper, hybrid architecture in the user how to choose a cloud server in-depth analysis. And how to choose a cloud server for this problem, this paper analyzes the current server selection method, coupled with P2P mode users the ability to upload and server memory on this basis for modeling, then verified through simulation experiments proposed the effectiveness of the method.

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Hadap, Mandar. "AI Based Image Caption Generator with Aid for Visually and Verbally Impaired People." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43953.

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This AI based image caption generator is developed for the purpose for image caption generating so that it helps the visually and verbally impaired individuals. The objective of this is that a Blind person can upload the image and can get a description of the image that can help them understand it. Here text to speech module is also used so that it can be heard by the blind individual. Key Words: Artificial Intelligence, Machine learning, Captioning, LSTM (Long Short-Term Memory, RNN (Recurrent Neural Network), CNN (Concurrent Neural Network), CV (Computer Vision). insert (key words)

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Lin, Iuon-Chang, Chin-Chen Chang, and Yu-Sung Chang. "Data Security and Preservation Mechanisms for Industrial Control Network Using IOTA." Symmetry 14, no. 2 (2022): 237. http://dx.doi.org/10.3390/sym14020237.

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In the Internet of Things (IoT), many devices can communicate with each other directly through the Internet, and there are already good applications in transportation systems, smart meters, and smart home appliances. Wireless sensor networks are used in these Internet of things applications. Playing a vital role, the upload of data requires multiple layers of transmission to reach the cloud. In the industrial control field, many IoT devices upload data to the cloud for storage, but the upload process is easily tampered with, and centralized cloud services also have security concerns. In additi

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Zakariya, Hafid. "Perlindungan Hukum Hak Cipta Terhadap Musik Di Indonesia Yang Di Upload Di Media Massa." Jurnal Panorama Hukum 4, no. 1 (2019): 57–63. http://dx.doi.org/10.21067/jph.v4i1.3307.

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In this era of globalization, people are pampered with any technology made easy with technological developments. With this technology able to create many opportunities one of them for the development of music in Indoneisa with social media in Indonesia can be rapidly spread and can be accessed by everyone so that the music can be Opportunities for artists to be commercialized. But with these developments many Parties are not responsible by doing music piracy by downloading so as to save or record with recording technology and storage nowadays, such as Memory card or flash disk with different t

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Chen, Ming-Te, and Hsuan-Chao Huang. "A Practical and Efficient Node Blind SignCryption Scheme for the IoT Device Network." Applied Sciences 12, no. 1 (2021): 278. http://dx.doi.org/10.3390/app12010278.

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In recent years, Internet of Things (IoT for short) research has become one of the top ten most popular research topics. IoT devices also embed many sensing chips for detecting physical signals from the outside environment. In the wireless sensing network (WSN for short), a human can wear several IoT devices around her/his body such as a smart watch, smart band, smart glasses, etc. These IoT devices can collect analog environment data around the user’s body and store these data into memory after data processing. Thus far, we have discovered that some IoT devices have resource limitations such

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Lian, Yaohao, and Yining Yang. "Development and application of intelligent judicial trial assistance system based on generative artificial intelligence and machine learning technology." Applied and Computational Engineering 75, no. 1 (2024): 223–29. http://dx.doi.org/10.54254/2755-2721/75/20240542.

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The intelligent judicial trial assistance system is an intelligent auxiliary judicial trial tool based on generative artificial intelligence and machine learning technology. It can achieve auxiliary functions such as case upload, trial result prediction, and legal document generation through automated, digital, and informational means. It utilizes technologies such as Recurrent Neural Networks (RNN) and Long Short-Term Memory networks (LSTM) to train generative models for generating trial recommendations and assisting in decision-making. Through in-depth research on the working principles and

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Babayemi, A. W., Hussaini. Jamilu, and A. Abdullahi. "Long Memory Behaviour of Nigerian Telecommunication Network Flow (A Case Study MTN Network)." International Journal of Novel Research in Healthcare and Nursing 10, no. 3 (2023): 278–86. https://doi.org/10.5281/zenodo.10118187.

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<strong>Abstract:</strong><i> </i>As the demand for telecommunication services continues to grow, there is a need to understand the behavior of the telecommunication network flow to ensure optimal performance, reliability and increase the number of subscribers. This research used an Autoregressive Fractionally Integrated Moving Average (ARFIMA) model along with its different estimation procedures to investigate long memory behaviour of Nigerian telecommunication network flow from August 11, 2017, to December 31, 2022. Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests were emplo

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Kanitz, Alexander, Foivos Gypas, Andreas J. Gruber, Andreas R. Gruber, Georges Martin, and Mihaela Zavolan. "Comparative assessment of methods for the computational inference of transcript isoform abundance from RNA-seq data." Genome biology 16, no. 1 (2015): 150. https://doi.org/10.5281/zenodo.13527150.

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(Uploaded by Plazi for the Bat Literature Project) BACKGROUND Understanding the regulation of gene expression, including transcription start site usage, alternative splicing, and polyadenylation, requires accurate quantification of expression levels down to the level of individual transcript isoforms. To comparatively evaluate the accuracy of the many methods that have been proposed for estimating transcript isoform abundance from RNA sequencing data, we have used both synthetic data as well as an independent experimental method for quantifying the abundance of transcript ends at the genome-wi

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Kanitz, Alexander, Foivos Gypas, Andreas J. Gruber, Andreas R. Gruber, Georges Martin, and Mihaela Zavolan. "Comparative assessment of methods for the computational inference of transcript isoform abundance from RNA-seq data." Genome biology 16, no. 1 (2015): 150. https://doi.org/10.5281/zenodo.13527150.

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(Uploaded by Plazi for the Bat Literature Project) BACKGROUND Understanding the regulation of gene expression, including transcription start site usage, alternative splicing, and polyadenylation, requires accurate quantification of expression levels down to the level of individual transcript isoforms. To comparatively evaluate the accuracy of the many methods that have been proposed for estimating transcript isoform abundance from RNA sequencing data, we have used both synthetic data as well as an independent experimental method for quantifying the abundance of transcript ends at the genome-wi

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Kanitz, Alexander, Foivos Gypas, Andreas J. Gruber, Andreas R. Gruber, Georges Martin, and Mihaela Zavolan. "Comparative assessment of methods for the computational inference of transcript isoform abundance from RNA-seq data." Genome biology 16, no. 1 (2015): 150. https://doi.org/10.5281/zenodo.13527150.

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(Uploaded by Plazi for the Bat Literature Project) BACKGROUND Understanding the regulation of gene expression, including transcription start site usage, alternative splicing, and polyadenylation, requires accurate quantification of expression levels down to the level of individual transcript isoforms. To comparatively evaluate the accuracy of the many methods that have been proposed for estimating transcript isoform abundance from RNA sequencing data, we have used both synthetic data as well as an independent experimental method for quantifying the abundance of transcript ends at the genome-wi

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Kanitz, Alexander, Foivos Gypas, Andreas J. Gruber, Andreas R. Gruber, Georges Martin, and Mihaela Zavolan. "Comparative assessment of methods for the computational inference of transcript isoform abundance from RNA-seq data." Genome biology 16, no. 1 (2015): 150. https://doi.org/10.5281/zenodo.13527150.

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(Uploaded by Plazi for the Bat Literature Project) BACKGROUND Understanding the regulation of gene expression, including transcription start site usage, alternative splicing, and polyadenylation, requires accurate quantification of expression levels down to the level of individual transcript isoforms. To comparatively evaluate the accuracy of the many methods that have been proposed for estimating transcript isoform abundance from RNA sequencing data, we have used both synthetic data as well as an independent experimental method for quantifying the abundance of transcript ends at the genome-wi

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Wayadande, Nikita, Priya Shinde, and Vanmala Kadam. "Blue Brain Technology." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 574–76. http://dx.doi.org/10.22214/ijraset.2022.47934.

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bstract: “Blue brain” is the name of the world’s first virtual brain. It allows to transfer all the substances of human brain to virtual brain like PC. That means a machine can function as human brain. In other words, human is does not live for thousands of years but the information in his mind could be saved and used for several thousands of years. Today scientists are in research to create an artificial brain that can think, response, take decision, and keep anything in memory. The main aim is to upload human brain into machine. So that man can think, take decision without any effort. After

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Supriansyah, Supriansyah. "WHEN ISLAMIC COSMOPOLITANISM MEET SOCIAL MEDIA TECHNOLOGY: ONLINE/ OFFLINE COMMUNITY, AUTHORITY, AND TRADITION." TASHWIR 10, no. 1 (2022): 1–16. http://dx.doi.org/10.18592/jt.v10i1.7437.

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Abstract: This article examines the broadcasting of religious activities via social media accounts "Aswajanet" and social dynamics in the community, from November 2019 until August 2020. Aswajanet is the official social media accounts of a young people community in Banjarmasin, which did the broadcasting regularly various online Pengajian (Sermon) or Haul using social networking services. Activities social media Aswajanet does not build the image of Majelis Taklim or Preacher or disseminate information on religious activities only. According to them, broadcasting Haul and Pengajian (Sermon) li

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R. Suryawanshi, Chandani, and Vinod Nayyar. "BLUE BRAIN." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 7, no. 2 (2013): 1009–17. http://dx.doi.org/10.24297/ijmit.v7i2.3294.

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Today scientists are in research to create an artificial brain that can think, respond, take decision, and keep anything in memory. The main aim is to upload human brain into machine. So that man can think, take decision without any effort. After the death of the body, the virtual brain will act as the man. So, even after the death of a person we will not loose the knowledge, intelligence, personalities, feelings and memories of that man, that can be used for the development of the human society. Technology is growing faster than every thing. IBM is now in research to create a virtual brain, c

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Simanjuntak, Saiful. "Implementasi Metode Taboo Code Untuk Kompresi File Video." Jurnal Sains dan Teknologi Informasi 1, no. 3 (2022): 79–84. http://dx.doi.org/10.47065/jussi.v1i3.2181.

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Video is a technology for capturing, recording, processing, and rearranging images usually using electronic signals, or digital media. For example, a video file that is large in size causes the sending process to take longer, and uses a large amount of memory space in its storage. Problems that arise due to the large file size include the wasteful storage media used, as well as more time in terms of data exchange, data transfer via the internet is a big problem in Indonesia because download and upload speeds are very low. To overcome this problem, data compression techniques are needed. The co

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Saminu, Umar, M. Lamido Aliyu, and K. Aminu Muhammad. "Multivariate Foreign Exchange Rate Prediction with Long-Short Term Memory Deep Learning Networks." International Journal of Novel Research in Marketing Management and Economics 11, no. 2 (2024): 29–37. https://doi.org/10.5281/zenodo.11204022.

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<strong>Abstract:</strong> This study investigates and compared the performance of two distinct variants of Long Short-Term Memory (LSTM) networks—vanilla LSTM and bidirectional LSTM in forecasting multivariate exchange rate data. The dataset utilized in this study comprises the daily historical data of the official exchange rates of four foreign currencies: the United States Dollar ($), Swiss Franc (₣), Euro (€) and Pound Sterling (£) against the Nigerian Naira (N) spanning from January 2006 to May 2023. The data set was split into two subsets: the in-sample data, which were

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M.Rahul, Jahnavi Anumula, Anusha Kasa, Aksa Merlyn Gaddam, and Venkata Surya Teja Avula. "Natural Language Processing : Generating Captions from Image." International Journal for Modern Trends in Science and Technology 11, no. 04 (2025): 93–99. https://doi.org/10.5281/zenodo.15110668.

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This paper presents a novel approach to image captioning by utilizing a combi- nation of deep learning models, including a convolutional neural network (CNN) and a recurrent neural network (RNN) with an attention mechanism. The CNN, specifically ResNet50, is used as the feature extractor, providing high-level se- mantic information about the image. The RNN, in the form of a Long Short- Term Memory (LSTM) network, generates captions based on these extracted features. An attention mechanism is integrated into the model to dynamically focus on relevant image regions while generating captions, enh

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Bernardo, F. Ramos. "Brain Training Activities as an Aid in Boosting the BAC 4-2 Score in the Philippine Constitution Mock Test." International Journal of Novel Research in Education and Learning 9, no. 6 (2022): 18–34. https://doi.org/10.5281/zenodo.7356818.

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<strong>Abstract:</strong> The objective of the study was to determine how well brain training exercises aided cognitive training in enhancing the score performance in a multiple-type mock test on the Philippine Constitution consisting of 100 items. Philippine Constitution is one of the topics under the General Information Part of the Civil Service Examination.  The whole class of BAC 4-2 comprised  35 students who participated in the one-group pretest and posttest experimental research design. The results showed that after completing the brain training exercises, students' postt

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Berthon, Magali-An. "Dinh Q Lê, Photographing the Thread of Memory, Musee du quai Branly – Jacques Chirac, 37 Quai Jacques Chirac, 75007 Paris, France, February 8–November 20, 2022." Textile Cloth and Culture 22, no. 1 (2023): 174–79. https://doi.org/10.1080/14759756.2023.2171832.

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From a life marked by disruption and displacement, Vietnamese-American artist Dinh Q Lê has crafted a distinctive aesthetic revolving around visual and metaphorical juxtapositions, using photography as his main material and conceptual resource. Born in Vietnam in 1968, he moved to the United States in the 1980s, only settling back in Vietnam in the mid-1990s. This exhibition review examines the textile quality and “textility” of his work, in Tim Ingold’s words, especially in the processes engaged in his monumental photo weavings. Inspired by mat weaving, Lê develo

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Kusumaningrum, Dessy. "Kompresi Gambar dengan Transformasi Wavelet." MATHunesa: Jurnal Ilmiah Matematika 8, no. 2 (2020): 151–56. http://dx.doi.org/10.26740/mathunesa.v8n2.p151-156.

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Current technological developments have increased quite rapidly, one of which is in digital image processing. The use of digital images sometimes experience problems during the upload process or when users want to insert image files on a platform but are limited by the maximum image file size. The image file to be uploaded must go through a digital image processing so that the image file size can match the requested maximum limit. One technique that can be used in this problem is compression. Compression is one of the main techniques of image processing. Large image size results in reduced dat

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Nanda, Ipseeta, and Rajesh De. "REVIEW OF CLOUD COMPUTING CRYPTOGRAPHY." Information Management And Computer Science 5, no. 2 (2022): 31–33. http://dx.doi.org/10.26480/imcs.02.2022.31.33.

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The delivery of computing services over the internet, as opposed to storing data on a local memory device or a proprietary disc drive, is known as cloud computing. Servers, storage, databases, networking, and software are some examples of computing services. The primary justification and major benefit of using the cloud are the user’s ability to store data there and access it from any location at any time, as well as the low cost of all its services. Despite this, because the data stored in the cloud is not directly maintained by the customer, security has always been a major concern with clou

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Wang, Zixi. "Analyzing the Influence Factors on Brand Image." Transactions on Economics, Business and Management Research 13 (November 18, 2024): 272–77. https://doi.org/10.62051/tdqr1f46.

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In the context of the "socialite" rebranding initiative, MIU MIU has successfully experienced a renewed sense of vitality. The purpose of this study was to explore what factors led to the concept of rebranding and why this action can be successful for MIU. This paper uses social identity theory, brand association theory, and brand positioning theory to carry out relevant analysis. The final analysis of brand re-shaping due to changes in consumer groups, widespread social media communication, and market trends suggests that the future should be appropriate to broaden the audience, regardless of

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Nurcahyo, Azriel Christian, Alan Ting Huong Yong, and Abdulwahab Funsho Atanda. "Classification of Simulated Fake Bandwidth Data Using LSTM." TEPIAN 5, no. 3 (2024): 35–47. http://dx.doi.org/10.51967/tepian.v5i3.3106.

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Hardly will someone acknowledge that the bandwidth we use every day is as authentic as most ISPs advertise, even those offering dedicated services. There are usually shortcomings, especially on upload and download bandwidth speeds. This paper presents the classification of simulated fake bandwidth data using the Long Short-Term Memory model, which though seldom found, is a very effective approach in network analysis. There were 1400 bandwidth data points collected from the MikroTik RB 1100 AHx device in a month, then further processed with normalization, and divided to have 80% training and 20

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Hudoshnyk, Oksana. "Oral history and media: platforms for collecting witness stories." Synopsis: Text Context Media 29, no. 2 (2023): 139–45. http://dx.doi.org/10.28925/2311-259x.2023.2.11.

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The relevance of analyzing the Ukrainian “text of war”, where individual voices are part of a coherent narrative, is related to the rate of changes in this content and the need for scientific understanding. The purpose of the paper is to describe the most illustrative examples of platforms and online resources that have collected witness interviews since the beginning of the war. The method of rapid response collecting and interdisciplinary methods were used to achieve the goal. The creation of platforms for collecting war stories, their structure, goals and working methods have become the sub

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Xing, Ling, Kun Wang, Honghai Wu, Huahong Ma, and Xiaohui Zhang. "FL-MAAE: An Intrusion Detection Method for the Internet of Vehicles Based on Federated Learning and Memory-Augmented Autoencoder." Electronics 12, no. 10 (2023): 2284. http://dx.doi.org/10.3390/electronics12102284.

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The Internet of Vehicles (IoV) is a network system that enables wireless communication and information exchange between vehicles and other traffic participants. Intrusion detection plays a very important role in the IoV. However, with the development of the IoV, unknown attack behaviors may appear. The lack of analysis and collection of these attack behavior has led to an imbalance in the sample data categories of the IoV intrusion detection, which causes the problem of low detection accuracy. At the same time, the intrusion detection model usually needs to upload data to the cloud for trainin

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Hasan, Muhammad. "Combination of Sequitur and Leveinstein Algorithms for Text File Compression." Management of Information System Journal 3, no. 1 (2024): 23–32. https://doi.org/10.47065/mis.v3i1.1914.

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Data is one of the main things in computer science engineering (ICT) problems, data can mean a situation, image, sound, letter, number, mathematics, language or other symbols. Facts that often occur about data are the need for storage capacity and the need for Data transfer time, which is a case that must be observed in this requirement, is caused by the increasing amount of data that must be stored in RAM memory. Based on the results of the tests carried out: Files compressed by the sequitur algorithm make it easier to use the internet so that the time required will be shorter and the possibi

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S, Sunil, and A. Ananda Shankar. "Fast and Efficient Cloud Data Utilization with Deduplication." International Journal of Emerging Research in Management and Technology 6, no. 6 (2018): 68. http://dx.doi.org/10.23956/ijermt.v6i6.247.

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Cloud storage system is to provides facilitative file storage and sharing services for distributed clients.The cloud storage preserve the privacy of data holders by proposing a scheme to manage encrypted data storage with deduplication. This process can flexibly support data sharing with deduplication even when the data holder is offline, and it does not intrude the privacy of data holders. It is an effective approach to verify data ownership and check duplicate storage with secure challenge and big data support. We integrate cloud data deduplication with data access control in a simple way, t

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Kim, Yongbae, Juyong Back, and Jongweon Kim. "A Tamper-Resistant Algorithm Using Blockchain for the Digital Tachograph." Electronics 10, no. 5 (2021): 581. http://dx.doi.org/10.3390/electronics10050581.

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A tachograph in a vehicle records the vehicle operating conditions, such as speed, distance, brake operation conditions, acceleration, GPS information, etc., in intervals of one second. For accidents, the tachograph records information, such as the acceleration and direction of a vehicle traveling in intervals of 1/100 s for 10 s before and after the accident occurs as collision data. A vehicle equipped with a tachograph is obliged to upload operation data to administrative organizations periodically via other auxiliary storage devices like a USB attached external memory or online wireless com

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Bocharova, Irina, Boris Kudryashov, Nikita Lyamin, Erik Frick, Maben Rabi, and Alexey Vinel. "Low Delay Inter-Packet Coding in Vehicular Networks." Future Internet 11, no. 10 (2019): 212. http://dx.doi.org/10.3390/fi11100212.

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In Cooperative Intelligent Transportation Systems (C-ITSs), vehicles need to wirelessly connect with Roadside units (RSUs) over limited durations when such point-to-point connections are possible. One example of such communications is the downloading of maps to the C-ITS vehicles. Another example occurs in the testing of C-ITS vehicles, where the tested vehicles upload trajectory records to the roadside units. Because of real-time requirements, and limited bandwidths, data are sent as User Datagram Protocol (UDP) packets. We propose an inter-packet error control coding scheme that improves the

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Corbo, M., M. Morichi, E. Fanchini, G. Mini, A. Pepperosa, and G. Mangiagalli. "Modular and Integrated Sensor Network of Intelligent Radiation Monitor Systems for Radiological and Nuclear Threat Response." EPJ Web of Conferences 225 (2020): 07005. http://dx.doi.org/10.1051/epjconf/202022507005.

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Increased sensitivity to nuclear safety and security issues has prompted public entities and private institutions to maximize their capability to rapidly assess risks and intervene in the case of accident or threat. Quick intervention and response are achieved through nuclear measurements via airborne, land, and underwater systems. A network of cohesive, well-integrated and easy deployable radiation monitoring systems combined with real-time analysis of data is essential to facilitate and enhance the decision-making process during these most critical moments enhancing the quality of the manage

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Nikshitha, M. "Leveraging Deep Learning for End-to-End Deepfake Video Identification." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44864.

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In recent years, the rise of deepfake technology has posed significant risks to media integrity, cybersecurity, and personal privacy. This project, Leveraging Deep Learning for End-to-End Deepfake Video Identification, proposes a robust detection system integrating spatial and temporal analysis with advanced deep learning techniques. The system employs a hybrid architecture, combining ResNet-50 for detecting frame-level artifacts and Long Short-Term Memory (LSTM) networks for capturing temporal inconsistencies across video frames. The methodology involves preprocessing video data, extracting f

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Miss., Chavan Monika Mahadev, Lohar Rutuja Shankar Miss., and G. Tandale Prof.Prashant. "Blue Brain." International Journal of Multidisciplinary Research Transactions 4, no. 8 (2022): 1–13. https://doi.org/10.5281/zenodo.6992928.

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Blue Brain – The name of the world’s first virtual brain. That means a machine that can function as human brain. Today scientist are in research to create an artificial brain that can think, response, take decision, and keep anything in memory. The main aim is to upload human brain into machine. So that man can think, take decision without any effort. After the death of the body, the virtual brain will act as the man. So, even after the death of a person we will not loose the knowledge, intelligence, personalities, feeling and memories of that man that can be used for the developme

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Khan, Muhammad Talha, and Muhammad Hassan Khan. "A Cloud Edge Collaboration of Food Recognition Using Deep Neural Networks." Journal of Artificial Intelligence and Computing 2, no. 1 (2024): 9–18. https://doi.org/10.57041/g4zmgy34.

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Deep neural network-based learning methods are commonly used for classifying images or object detection with excellent performances. In this paper, we looked at how effective a deep convolution neural network (DCNN) is to identify food photography. Food identification is a sort of visual fine-grain recognition that is more difficult than traditional image recognition. Mobile apps in many countries have been omnipresent in many aspects of people's lives in the last few years. Fitting the healthcare potential of this pattern has become a focal point in the industry and researchers’ basic applica

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Mallisza, Danyl. "RANCANG BANGUN PROTOTYPE PENGONTROLAN LAMPU DENGAN ARDUINO BERBASIS ANDROID." Unes journal of Information System 2, no. 2 (2017): 077. http://dx.doi.org/10.31933/ujis.2.2.077-085.2017.

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Mobilitas sosial ini terus berlangsung di semua negara khususnya dalam masyarakat industry karena dibutuhkannya sejumlah besar tenaga teknis dan profesional. Golongan sosial tinggi tidak sanggup memenuhi segala kebutuhan itu dan terpaksa mengambilnya dari lapisan sosial yang lebih rendah. Mereka yang lahir dalam golongan atas yang tidak mempunyai motivasi untuk memperoleh kemampuan teknis, profesional atau managerial akan dengan sendirinya turun dalam tangga sosial. Smartphone merupakan alat untuk komunikasi suara atau biasa disebut telepon genggam, Smartphonejuga dilengkapi dengan Mobile Outl

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Prachi Janrao. "Optimus: Interactive Informational Chatbot." Journal of Information Systems Engineering and Management 10, no. 13s (2025): 531–35. https://doi.org/10.52783/jisem.v10i13s.2108.

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Introduction: Optimus is an interactive chatbot developed on the GPT-4 Turbo framework, which offers intelligent responses and task automation. It uses NLP combined with in-code functionalities for Google, YouTube, and Pinterest searches, along with Zapier AI-based automation to interact with third-party applications like email, Google Docs, WhatsApp, and Google Drive. It utilizes prompt engineering and request routing to provide precise and context-aware assistance. By adopting a structured back-end and well-planned development of the front-end, it aims to enhance AI-driven digital interactio

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Goh, Voon Hueh, Muhammad Akmal Ayob, Nurul Izzati Darul Zaman, and Yuan Wen Hau. "Mobile Electrocardiogram Monitoring System with Cloud-Based Approach." Journal of Human Centered Technology 1, no. 2 (2022): 105–15. http://dx.doi.org/10.11113/humentech.v1n2.30.

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Cardiovascular disease (CVD) is a heart related disease and is the top silent killer in worldwide. Frequent electrocardiogram (ECG) monitoring for patients with CVD is vital to check if arrhythmia occurs. Though there are lots of commercialized portable ECG monitoring device available, many of them are dedicated to professional clinical staff with complex user interface, or only targeted to specific arrhythmia for home monitoring with lack of data management system. In this study, an in-house developed ECG monitoring device was integrated with an Android-based mobile application through Blueto

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Goh, Voon Hueh, Muhammad Akmal Ayob, Nurul Izzati Darul Zaman, and Yuan Wen Hau. "Mobile Electrocardiogram Monitoring System with Cloud-Based Approach." Journal of Human Centered Technology 1, no. 2 (2022): 105–15. http://dx.doi.org/10.11113/humentech.v1n2.30.

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Cardiovascular disease (CVD) is a heart related disease and is the top silent killer in worldwide. Frequent electrocardiogram (ECG) monitoring for patients with CVD is vital to check if arrhythmia occurs. Though there are lots of commercialized portable ECG monitoring device available, many of them are dedicated to professional clinical staff with complex user interface, or only targeted to specific arrhythmia for home monitoring with lack of data management system. In this study, an in-house developed ECG monitoring device was integrated with an Android-based mobile application through Blueto

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Wenjuan, Zhang, and González Orlando. "THE RELATIONSHIP OF THE USE OF LANGUAGE LEARNING STRATEGIES AND ACADEMIC ACHIEVEMENT IN ENGLISH LANGUAGE CLASS OF CHINESE JUNIOR HIGH SCHOOL STUDENTS." International Journal of Recent Research in Social Sciences and Humanities 9, no. 2 (2022): 191–98. https://doi.org/10.5281/zenodo.6580067.

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<strong>Abstract:</strong> This study was aimed to determine whether there was a significant relationship of the use of language learning strategies and the academic achievement of first-year junior high school students at a public secondary school in China. A conveniently chosen sample of 109 students, enrolled in the target school during the academic year 2021-2022, participated in this study. For the data collection, Yang’s (1992) Chinese version of the Strategy Inventory of Language Learning (SILL; Oxford, 1990), and the English subject’s final test, were used. From performing

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Wu, Yixin, Yuqiang Sun, Cheng Huang, Peng Jia, and Luping Liu. "Session-Based Webshell Detection Using Machine Learning in Web Logs." Security and Communication Networks 2019 (November 22, 2019): 1–11. http://dx.doi.org/10.1155/2019/3093809.

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Attackers upload webshell into a web server to achieve the purpose of stealing data, launching a DDoS attack, modifying files with malicious intentions, etc. Once these objects are accomplished, it will bring huge losses to website managers. With the gradual development of encryption and confusion technology, the most common detection approach using taint analysis and feature matching might become less useful. Instead of applying source file codes, POST contents, or all received traffic, this paper demonstrated an intelligent and efficient framework that employs precise sessions derived from t

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