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Journal articles on the topic 'Extranets (Computer networks)'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Morgan, David. "Deploying extranets?" Network Security 2004, no. 12 (December 2004): 12–14. http://dx.doi.org/10.1016/s1353-4858(04)00170-9.

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Liu, Nan, Zhi Zeng, and Ruoyu Jin. "A Survey on Users' Perspectives to Functionalities of Web-Based Construction Collaboration Extranets." International Journal of e-Collaboration 15, no. 4 (October 2019): 1–17. http://dx.doi.org/10.4018/ijec.2019100101.

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Construction collaboration extranets (CCEs) provide various functionalities depending on the vendors' origins, history, experiences, and financial status. Previous research has listed and described the functionalities that extranet systems can be capable of providing. However, no publication was found so far to systematically analyze users' perspectives to the provided functionalities. This article is to bridge this gap through a questionnaire survey to the users. It aims at examining user's attitude to functionalities of CCEs. The result may be useful to information system vendors, end-users

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Phaltankar, Kaustubh. "Practical Guide for Implementing Secure Intranets and Extranets." EDPACS 27, no. 12 (June 2000): 1–2. http://dx.doi.org/10.1201/1079/43258.27.12.20000601/30345.5.

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Guo, Jie, Xihao Fu, Liqiang Lin, Hengjun Ma, Yanwen Guo, Shiqiu Liu, and Ling-Qi Yan. "ExtraNet." ACM Transactions on Graphics 40, no. 6 (December 2021): 1–16. http://dx.doi.org/10.1145/3478513.3480531.

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Both the frame rate and the latency are crucial to the performance of realtime rendering applications such as video games. Spatial supersampling methods, such as the Deep Learning SuperSampling (DLSS), have been proven successful at decreasing the rendering time of each frame by rendering at a lower resolution. But temporal supersampling methods that directly aim at producing more frames on the fly are still not practically available. This is mainly due to both its own computational cost and the latency introduced by interpolating frames from the future. In this paper, we present ExtraNet, an

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Ahmed Ali, Adel, and Ahmed M. Al-Naamany. "Converged Networking: A Review of Concepts and Technologies." Sultan Qaboos University Journal for Science [SQUJS] 5 (December 1, 2000): 209. http://dx.doi.org/10.24200/squjs.vol5iss0pp209-225.

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Converged networking is an emerging technology thrust that integrates voice, video, and data traffic on a single network. Converged networking encompasses several aspects, all of which are related to the aggregation of networking activity. Such aspects include, Payload convergence, Protocol convergence, Physical convergence, Device convergence, Application convergence, Technology convergence, etc. In recent years the Internet has developed into a global data network that is highly accepted as a multimedia information platform, which has the potential to develop into an alternative carrier netw

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Hu, Xiujian, Guanglei Sheng, Piao Shi, and Yuanyuan Ding. "TbsNet: the importance of thin-branch structures in CNNs." PeerJ Computer Science 9 (June 16, 2023): e1429. http://dx.doi.org/10.7717/peerj-cs.1429.

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The performance of a convolutional neural network (CNN) model is influenced by several factors, such as depth, width, network structure, size of the receptive field, and feature map scaling. The optimization of the best combination of these factors poses as the main difficulty in designing a viable architecture. This article presents an analysis of key factors influencing network performance, offers several strategies for constructing an efficient convolutional network, and introduces a novel architecture named TbsNet (thin-branch structure network). In order to minimize computation costs and

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Ababneh, Nedal. "Performance Evaluation of a Topology Control Algorithm for Wireless Sensor Networks." International Journal of Distributed Sensor Networks 6, no. 1 (January 1, 2010): 671385. http://dx.doi.org/10.1155/2010/671385.

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A main design challenge in the area of sensor networks is energy efficiency to prolong the network operable lifetime. Since most of the energy is spent for radio communication, an effective approach for energy conservation is scheduling sleep intervals for extraneous nodes, while the remaining nodes stay active to provide continuous service. Assuming that node position information is unavailable, we present a topology control algorithm, termed OTC, for sensor networks. It uses two-hop neighborhood information to select a subset of nodes to be active among all nodes in the neighborhood. Each no

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Karamysheva, N. S., D. S. Svishchev, K. V. Popov, and S. A. Zinkin. "Implementation of Agent-Based Metacomputersystems and Applications." Proceedings of the Southwest State University 26, no. 1 (June 28, 2022): 148–71. http://dx.doi.org/10.21869/2223-1560-2022-26-1-148-171.

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Purpose of research. Creation of a methodology for designing a prototype of a metacomputer distributed computing system, taking into account the current stage of the evolution of hardware and cloud-network software to provide users with the means to create applications with inter-program parallelism and the ability of components to work together.Methods. Logical models of artificial intelligence, semantic networks and conceptual graphs, agent-based technology, virtualization of network resources. The method of conducting a full-scale experiment was that when the application was launched for ex

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Malik, Najeeb ur Rehman, Usman Ullah Sheikh, Syed Abdul Rahman Abu-Bakar, and Asma Channa. "Multi-View Human Action Recognition Using Skeleton Based-FineKNN with Extraneous Frame Scrapping Technique." Sensors 23, no. 5 (March 2, 2023): 2745. http://dx.doi.org/10.3390/s23052745.

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Human action recognition (HAR) is one of the most active research topics in the field of computer vision. Even though this area is well-researched, HAR algorithms such as 3D Convolution Neural Networks (CNN), Two-stream Networks, and CNN-LSTM (Long Short-Term Memory) suffer from highly complex models. These algorithms involve a huge number of weights adjustments during the training phase, and as a consequence, require high-end configuration machines for real-time HAR applications. Therefore, this paper presents an extraneous frame scrapping technique that employs 2D skeleton features with a Fi

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Molla, D., R. Schwitter, F. Rinaldi, J. Dowdall, and M. Hess. "ExtrAns: Extracting answers from technical texts." IEEE Intelligent Systems 18, no. 4 (July 2003): 12–17. http://dx.doi.org/10.1109/mis.2003.1217623.

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Hameed, Marwah. "Modified Fuzzy Neural Network Approach for Academic Performance Prediction of Students in Early Childhood Education." Bonfring International Journal of Networking Technologies and Applications 11, no. 1 (February 13, 2024): 17–20. http://dx.doi.org/10.9756/bijnta/v11i1/bij24007.

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Modern education relies heavily on educational technology, which provides students with unique learning opportunities and enhances their ability to learn. For many years now, computers and other technological tools have been an integral part of education. However, compared to other educational levels, the incorporation of educational technology in early childhood education is a more recent trend. It is because of this that materials and procedures tailored to young children must be created, implemented, and studied. The use of artificial intelligence techniques in educational technology resour

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ILYA V., VOLODIN, PUTYATO MICHAEL M., MAKARYAN ALEXANDER S., and EVGLEVSKY VYACHESLAV YU. "CLASSIFICATION OF ATTACK MECHANISMS AND RESEARCH OF PROTECTION METHODS FOR SYSTEMS USING MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE ALGORITHMS." CASPIAN JOURNAL: Control and High Technologies 54, no. 2 (2021): 90–98. http://dx.doi.org/10.21672/2074-1707.2021.53.1.090-098.

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This article provides a complete classification of attacks using artificial intelligence. Three main identified sections were considered: attacks on information systems and computer networks, attacks on artificial intelligence models (poisoning attacks, evasion attacks, extraction attacks, privacy attacks), attacks on human consciousness and opinion (all types of deepfake). In each of these sections, the mechanisms of attacks were identified and studied, in accordance with them, the methods of protection were set. In conclusion, a specific example of an attack using a pretrained model was anal

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Styles, K., and M. Goldsworthy. "GI extranet: a case study in applying technology for competitive advantage." International Journal of Networking and Virtual Organisations 1, no. 1 (2002): 82. http://dx.doi.org/10.1504/ijnvo.2002.001464.

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Liu, Zhen, Yi-Liang Han, and Xiao-Yuan Yang. "A compressive sensing–based adaptable secure data collection scheme for distributed wireless sensor networks." International Journal of Distributed Sensor Networks 15, no. 6 (June 2019): 155014771985651. http://dx.doi.org/10.1177/1550147719856516.

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Toward the goal of high security and efficiency for data collection in wireless sensor network, this article proposed an adaptable secure compressive sensing–based data collection scheme for distributed wireless sensor network. It adopted public key cryptography technology to solve the key distribution problem, and compressive sensing over finite fields to reduce the communication cost of data collection. Under hardness of decisional learning with errors problem on lattice, it can ensure indistinguishability against chosen ciphertext attack (IND-CCA1) security scheme for collected data on the

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Yong, Chern Han, and Limsoon Wong. "From the static interactome to dynamic protein complexes: Three challenges." Journal of Bioinformatics and Computational Biology 13, no. 02 (April 2015): 1571001. http://dx.doi.org/10.1142/s0219720015710018.

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Protein interactions and complexes behave in a dynamic fashion, but this dynamism is not captured by interaction screening technologies, and not preserved in protein–protein interaction (PPI) networks. The analysis of static interaction data to derive dynamic protein complexes leads to several challenges, of which we identify three. First, many proteins participate in multiple complexes, leading to overlapping complexes embedded within highly-connected regions of the PPI network. This makes it difficult to accurately delimit the boundaries of such complexes. Second, many condition- and locatio

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Nuli Namassivaya, Sunkari Nithigna, Sindhu Kovilala, and MD Sibli Hussain. "Encrypted chat application using RSA Algorithm." international journal of engineering technology and management sciences 7, no. 2 (2023): 854–59. http://dx.doi.org/10.46647/ijetms.2023.v07i02.095.

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In some ways, the potency and effectiveness of the knowledge systems rely upon its design and the way the knowledge area unit is transmitted among totally different parties. Similarly, a crucial side of computer code development is the security of the knowledge that flows through open communication channels. One of the foremost widespread designs is User/server design which creates the centralization of knowledge storage and process modification, and supply flexibility for applying authentication strategies and coding algorithms inside info systems. whereas the number of users increases, it ne

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Sychugov, Anton, Vadim Miheychikov, and Maksim Chernyshov. "Application of Neural Networks for Object Recognition in Railway Transportation." Proceedings of Petersburg Transport University 20, no. 2 (June 20, 2023): 478–91. http://dx.doi.org/10.20295/1815-588x-2023-2-478-491.

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Purpose: With the help of vision systems and neural networks, such as YOLOv8 and MASK R-CNN, it is possible to quickly and accurately detect objects that can lead to an accident or delay trains. YOLOv8 is one of the most popular real-time object detection algorithms that uses deep neural networks to classify and localize objects. YOLOv8 can detect objects in images and videos with high speed and accuracy. This model can work on various hardware platforms, including mobile devices and computers. MASK R-CNN is an even more advanced object detection algorithm that has the ability to highlight obj

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Laksana, Eugene, Melissa Aczon, Long Ho, Cameron Carlin, David Ledbetter, and Randall Wetzel. "The impact of extraneous features on the performance of recurrent neural network models in clinical tasks." Journal of Biomedical Informatics 102 (February 2020): 103351. http://dx.doi.org/10.1016/j.jbi.2019.103351.

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GALL, HARALD C., RENÉ R. KLÖSCH, and ROLAND T. MITTERMEIR. "USING DOMAIN KNOWLEDGE TO IMPROVE REVERSE ENGINEERING." International Journal of Software Engineering and Knowledge Engineering 06, no. 03 (September 1996): 477–505. http://dx.doi.org/10.1142/s021819409600020x.

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Integrating application domain knowledge into reverse engineering is an important step to overcome the shortcomings of conventional reverse engineering approaches that are based exclusively on information derivable from source code. In this paper, we show the basic concepts of a program transformation process from a conventional to an object-oriented architecture which incorporates extraneous higher-level knowledge in its process. To which degree this knowledge might stem from some general domain knowledge, and to which extent it needs to be introduced as application dependent knowledge by a h

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M. Sujitha, N. Leela, and B. Kanimozhi. "Computer Aided Diagnosis (CAD) and Classification of Microbial and other Wide Range of Dermal Diseases using AI and Medical Image Processing." Journal of Innovative Image Processing 5, no. 3 (September 2023): 307–22. http://dx.doi.org/10.36548/jiip.2023.3.006.

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The human body's largest and most defensive organ is its skin. It covers internal organs and shields the human body from extraneous substances outside of it. Numerous illnesses can harm a person's skin caused by microbes such as bacteria, fungi, and viruses; for example, MRSA (methicillin-resistant Staphylococcus aureus) infection, Herpes zoster, Acne vulgaris, warts, eczema, psoriasis, and the fifth disease. It can also be damaged by carcinogenic and tumor-inducing agents, leading to skin cancer such as melanoma, which is more fatal and life-threatening to human life. Skin diseases can be dia

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Пальчикова, И. Г., И. А. Будаева, and Е. С. Смирнов. "Generation of a digital passport for gunshot residues using the computer vision techniques." Вычислительные технологии 29, no. 1 (February 24, 2024): 93–106. http://dx.doi.org/10.25743/ict.2024.29.1.009.

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Разработано программное обеспечение ImgOpinion, которое позволяет выполнять оптико-структурный анализ цифрового изображения объекта методами компьютерного зрения. Оно предназначено для использования в экспертных лабораториях в составе аппаратно-программного комплекса компьютерного зрения MS-Unit, который включает специализированный осветитель “Фотобокс 3138” с цифровой регистрирующей камерой. Выходные данные строятся в виде цифрового паспорта огнестрельного повреждения, в котором приводятся криминалистически значимые характеристики объекта исследования, а также выявленных на нем следов выстрел

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Sun, Jiuyun, Huanhe Dong, Ya Gao, Yong Fang, and Yuan Kong. "The Short-Term Load Forecasting Using an Artificial Neural Network Approach with Periodic and Nonperiodic Factors: A Case Study of Tai'an, Shandong Province, China." Computational Intelligence and Neuroscience 2021 (October 26, 2021): 1–8. http://dx.doi.org/10.1155/2021/1502932.

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Accurate electricity load forecasting is an important prerequisite for stable electricity system operation. In this paper, it is found that daily and weekly variations are prominent by the power spectrum analysis of the historical loads collected hourly in Tai’an, Shandong Province, China. In addition, the influence of the extraneous variables is also very obvious. For example, the load dropped significantly for a long period of time during the Chinese Lunar Spring Festival. Therefore, an artificial neural network model is constructed with six periodic and three nonperiodic factors. The load f

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Peeters, Hendrik, Sebastian Habig, and Sabine Fechner. "Does Augmented Reality Help to Understand Chemical Phenomena during Hands-On Experiments?–Implications for Cognitive Load and Learning." Multimodal Technologies and Interaction 7, no. 2 (January 19, 2023): 9. http://dx.doi.org/10.3390/mti7020009.

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Chemical phenomena are only observable on a macroscopic level, whereas they are explained by entities on a non-visible level. Students often demonstrate limited ability to link these different levels. Augmented reality (AR) offers the possibility to increase contiguity by embedding virtual models into hands-on experiments. Therefore, this paper presents a pre- and post-test study investigating how learning and cognitive load are influenced by AR during hands-on experiments. Three comparison groups (AR, animation and filmstrip), with a total of N = 104 German secondary school students, conducte

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Jones, R. Kenny, Paul Guerrero, Niloy J. Mitra, and Daniel Ritchie. "ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives." ACM Transactions on Graphics 42, no. 4 (July 26, 2023): 1–17. http://dx.doi.org/10.1145/3592416.

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We introduce ShapeCoder, the first system capable of taking a dataset of shapes, represented with unstructured primitives, and jointly discovering (i) useful abstraction functions and (ii) programs that use these abstractions to explain the input shapes. The discovered abstractions capture common patterns (both structural and parametric) across a dataset, so that programs rewritten with these abstractions are more compact, and suppress spurious degrees of freedom. ShapeCoder improves upon previous abstraction discovery methods, finding better abstractions, for more complex inputs, under less s

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Chen, Xinyue, Shuo Li, Shipeng Liu, Robin Fowler, and Xu Wang. "MeetScript: Designing Transcript-based Interactions to Support Active Participation in Group Video Meetings." Proceedings of the ACM on Human-Computer Interaction 7, CSCW2 (September 28, 2023): 1–32. http://dx.doi.org/10.1145/3610196.

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While videoconferencing is prevalent, concurrent participation channels are limited. People experience challenges keeping up with the discussion, and misunderstanding frequently occurs. Through a formative study, we probed into the design space of providing real-time transcripts as an extra communication space for video meeting attendees. We then present MeetScript, a system that provides parallel participation channels through real-time interactive transcripts. MeetScript visualizes the discussion through a chat-alike interface and allows meeting attendees to make real-time collaborative anno

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Wang, Lei, and Wenqi He. "Analysis of Community Outdoor Public Spaces Based on Computer Vision Behavior Detection Algorithm." Applied Sciences 13, no. 19 (October 2, 2023): 10922. http://dx.doi.org/10.3390/app131910922.

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Community outdoor public spaces are indispensable to urban residents’ daily lives. Analyzing community outdoor public spaces from a behavioral perspective is crucial and an effective way to support human-centered development in urban areas. Traditional behavioral analysis often relies on manually collected behavioral data, which is time-consuming, labor-intensive, and lacks data breadth. With the use of sensors, the breadth of behavioral data has greatly increased, but its accuracy is still insufficient, especially in the fine-grained differentiation of populations and behaviors. Computer visi

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Lin, Hsien-I., and C. S. George Lee. "Neuro-fuzzy-based skill learning for robots." Robotica 30, no. 6 (December 8, 2011): 1013–27. http://dx.doi.org/10.1017/s026357471100124x.

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SUMMARYEndowing robots with the ability of skill learning enables them to be versatile and skillful in performing various tasks. This paper proposes a neuro-fuzzy-based, self-organizing skill-learning framework, which differs from previous work in its capability of decomposing a skill by self-categorizing it into significant stimulus-response units (SRU, a fundamental unit of our skill representation), and self-organizing learned skills into a new skill. The proposed neuro-fuzzy-based, self-organizing skill-learning framework can be realized by skill decomposition and skill synthesis. Skill de

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Nguyen, Viet Hung, Ngoc Nam Pham, Cong Thang Truong, Duy Tien Bui, Huu Thanh Nguyen, and Thu Huong Truong. "Retina-based quality assessment of tile-coded 360-degree videos." EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 9, no. 32 (June 21, 2022): e2. http://dx.doi.org/10.4108/eetinis.v9i32.1058.

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Nowadays, omnidirectional content, which delivers 360-degree views of scenes, is a significant aspect of Virtual Reality systems. While 360 video requires a lot of bandwidth, users only see visible tiles, therefore a large amount of bitrate can be saved without affecting the user’s experience on the service. The fact leads to current video adaptation solutions to filter out superfluous parts and extraneous bandwidth. To form a good basis for these adaptations, it is necessary to understand human’s video quality perception. In our research, we contribute to building an effective omnidirectional

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S.Saravana Kumar, Et al. "Automated Detection of Autism Spectrum Disorder Using Bio-Inspired Swarm Intelligence Based Feature Selection and Classification Techniques." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (November 5, 2023): 2342–50. http://dx.doi.org/10.17762/ijritcc.v11i9.9242.

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Autism spectrum disorders, or ASDs, are neurological conditions that affect humans. ASDs typically come with sensory issues like sensitivity to touch or soundor odour. Though genetics are the main causes, their early discovery and treatments are imperative. In recent years, intelligent diagnosis using MLTs (Machine Learning Techniques) have been developed to support conventional clinical methods in the domain of healthcare. Feature selections from healthcare databases consume nondeterministic polynomial timesand are hard tasks where again MLTs have been of great use. AGWOs (Adaptive Grey Wolf

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Mirzazade, Ali, Cosmin Popescu, Thomas Blanksvärd, and Björn Täljsten. "Workflow for Off-Site Bridge Inspection Using Automatic Damage Detection-Case Study of the Pahtajokk Bridge." Remote Sensing 13, no. 14 (July 7, 2021): 2665. http://dx.doi.org/10.3390/rs13142665.

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For the inspection of structures, particularly bridges, it is becoming common to replace humans with autonomous systems that use unmanned aerial vehicles (UAV). In this paper, a framework for autonomous bridge inspection using a UAV is proposed with a four-step workflow: (a) data acquisition with an efficient UAV flight path, (b) computer vision comprising training, testing and validation of convolutional neural networks (ConvNets), (c) point cloud generation using intelligent hierarchical dense structure from motion (DSfM), and (d) damage quantification. This workflow starts with planning the

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Paudel, Niroj, Bishnu Maya Kharel, Ramesh Prasad Sah, and Rajesh Shrestha. "Comparative Study of E-Learning Frameworks: Recommendation for Nepal." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 8 (August 30, 2017): 273. http://dx.doi.org/10.23956/ijarcsse.v7i8.66.

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E-learning is essentially the network-enabled transfer of skills and knowledge. E-learning refers to using electronic applications and processes to learn. E-learning applications and processes include Web-based learning, computer-based learning, virtual classrooms and digital collaboration. Content is delivered via the internet, intranet/extranet, audio or video tape, satellite TV and CD-ROM This study is a reflection to the current scenario of how ICT is being used in education sector in Nepal that depicts how E-learning Framework aid to different districts of rural areas of Nepal[8]. Since t

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Mohammed Saleh Al Ansari, Et al. "Nanoparticle Incorporation to Enhance Titanium Alloy Electric Discharge Machining Capabilities." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (November 5, 2023): 3722–30. http://dx.doi.org/10.17762/ijritcc.v11i9.9596.

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The primary objective of this study was to examine the effects of the Powder-blended Micro Electric Discharge Machining (PMEDM) technique on micromachining applications, specifically when sea water is employed as the dielectric medium. Tiny apertures with a width of 200µm were punctured over Ti-6Al-4V plates. In the initial round of experimentation, the machining performance was evaluated by subjecting sea water to various process variables without the inclusion of any other ingredients. The effects of input variables, including electrode material, hole voltage, current, Pulse-on-time, and Dut

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Halteh, Khaled, and Hakem Sharari. "Employing Artificial Neural Networks and Multiple Discriminant Analysis to Evaluate the Impact of the COVID-19 Pandemic on the Financial Status of Jordanian Companies." Interdisciplinary Journal of Information, Knowledge, and Management 18 (2023): 251–67. http://dx.doi.org/10.28945/5112.

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Aim/Purpose: This paper aims to empirically quantify the financial distress caused by the COVID-19 pandemic on companies listed on Amman Stock Exchange (ASE). The paper also aims to identify the most important predictors of financial distress pre- and mid-pandemic. Background: The COVID-19 pandemic has had a huge toll, not only on human lives but also on many businesses. This provided the impetus to assess the impact of the pandemic on the financial status of Jordanian companies. Methodology: The initial sample comprised 165 companies, which was cleansed and reduced to 84 companies as per data

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Kornilova, Alla A., Sergey N. Gaydamaka, Marina A. Gladchenko, Dmitry Ya Agasarov, Igor V. Kornilov, and Maxim A. Gerasimov. "Thermal Waves and Flow Features of Pulsed Thermally Stimulated Biochemical Reactions in Viral Particles Interaction with Cells." Radioelectronics. Nanosystems. Information Technologies. 14, no. 1 (April 12, 2022): 87–96. http://dx.doi.org/10.17725/rensit.2022.14.087.

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This review considers the features of excitation, propagation over a long distance, and the action of non-dissipative high-frequency temperature waves in relation to their influence on the efficiency of the system for remote recognition of critical cells by viruses. It is shown that the action of such waves leads to screening of critical cells due to a change in their surface atomic and molecular structure, which leads to a significant change in the dispersion and other electromagnetic characteristics of these cells. This leads to a very strong weakening of the efficiency of the system of remo

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Shimada, Kunio. "Elucidation of Response and Electrochemical Mechanisms of Bio-Inspired Rubber Sensors with Supercapacitor Paradigm." Electronics 12, no. 10 (May 19, 2023): 2304. http://dx.doi.org/10.3390/electronics12102304.

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The electrochemical paradigm of a supercapacitor (SC) is effective for investigating cutting-edge deformable and haptic materials made of magnetic compound fluid (MCF) rubber in order to advance the production of bio-inspired sensors as artificial haptic sensors mimicking human tissues. In the present study, we measure the cyclic voltammetry (CV) profiles and electric properties with electrochemical impedance spectroscopy (EIS) to morphologically evaluate the intrinsic structure of MCF rubber containing fillers and agents. In addition, the electrochemical mechanisms of molecule and particle be

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Do, Quang-Huy, Rémi Antony, Bernard Ratier, and Johann Bouclé. "Improving Device-to-Device Reproducibility of Light-Emitting Diodes Based on Layered Halide Perovskites." Electronics 13, no. 6 (March 11, 2024): 1039. http://dx.doi.org/10.3390/electronics13061039.

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Layered halide perovskites have emerged as a promising contender in solid-state lighting; however, the fabrication of perovskite light-emitting devices in laboratories usually experiences low device-to-device reproducibility since perovskite crystallization is highly sensitive to ambient conditions. Although device processing inside gloveboxes is primarily used to reduce the influence of oxygen and moisture, several extraneous variables, including thermal fluctuations in the inert atmosphere or contaminations from residual solvents, can destabilize the crystallization process and alter the pro

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Michel, Janet, David Evans, Marcel Tanner, and Thomas C. Sauter. "Identifying Policy Gaps in a COVID-19 Online Tool Using the Five-Factor Framework." Systems 10, no. 6 (December 15, 2022): 257. http://dx.doi.org/10.3390/systems10060257.

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Introduction: Worldwide health systems are being faced with unprecedented COVID-19-related challenges, ranging from the problems of a novel condition and a shortage of personal protective equipment to frequently changing medical guidelines. Many institutions were forced to innovate and many hospitals, as well as telehealth providers, set up online forward triage tools (OFTTs). Using an OFTT before visiting the emergency department or a doctor’s practice became common practice. A policy can be defined as what an institution or government chooses to do or not to do. An OFTT, in this case, has be

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Lande-Marghade, Pallavi. "Anaesthesia TV: Beginning of a New Revolution!" Journal of Anaesthesia and Critical Care Reports 4, no. 1 (2018): 1–2. http://dx.doi.org/10.13107/jaccr.2018.v04i01.075.

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How about attending an online live streaming conference happening at Hawaii from the comforts of your home, doesn’t that sound exciting? Well, honestly speaking we cannot deny the invasion of technology into our day-to-day lives. The amalgamation of the technology into social media disseminating vital information is very evident. On 27th April our sister concern, Anaesthesia TV performed live streaming of the regional anaesthesia conference called PRAC 2018 (Pune Regional Anaesthesia Conference). This was the first time in the history of anaesthesia conferences in India, where it was streamed

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"Equant provides extranet." Network Security 2000, no. 10 (October 2000): 3–4. http://dx.doi.org/10.1016/s1353-4858(00)10008-x.

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"National extranet further secured." Network Security 2000, no. 3 (March 2000): 4. http://dx.doi.org/10.1016/s1353-4858(00)03008-7.

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Shi, Yinghui, Huiyun Yang, Zongkai Yang, Wei Liu, Di Wu, and Harrison Hao Yang. "Examining the effects of note-taking styles on college students’ learning achievement and cognitive load." Australasian Journal of Educational Technology, August 12, 2022, 1–11. http://dx.doi.org/10.14742/ajet.6688.

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This study investigated the effects of note-taking styles on college students’ learning achievement and cognitive load in a 6-week lecture-based computer network course. Forty-two students were randomly assigned into one of three groups, which consisted of collaborative note-taking, laptop note-taking, and traditional longhand note-taking. The results showed that students in the collaborative note-taking group did better on learning achievement and cognitive load than students in the other two groups. Particularly, students in the collaborative note-taking group had a significantly higher rate

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Faulconer, Emily Kaye, Darryl Chamberlain, and Beverly L. Wood. "A Case Study of Community of Inquiry Presences and Cognitive Load in Asynchronous Online STEM Courses." Online Learning 26, no. 3 (September 1, 2022). http://dx.doi.org/10.24059/olj.v26i3.3386.

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The design and facilitation of asynchronous online courses can have notable impacts on students related to persistence, performance, and perspectives. This case study presents current conditions for cognitive load and Community of Inquiry (CoI) presences in an asynchronous online introductory undergraduate STEM course. Researchers present the novel use of Python script to clean and organize data and a simplification of the instructional efficiency calculation for use of anonymous data. Key relationships between cognitive load and CoI presences are found through validated use of NASA-TLX instru

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Bäuerle, Alex, Patrick Albus, Raphael Störk, Tina Seufert, and Timo Ropinski. "exploRNN: teaching recurrent neural networks through visual exploration." Visual Computer, July 14, 2022. http://dx.doi.org/10.1007/s00371-022-02593-0.

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AbstractDue to the success and growing job market of deep learning (DL), students and researchers from many areas are interested in learning about DL technologies. Visualization has been used as a modern medium during this learning process. However, despite the fact that sequential data tasks, such as text and function analysis, are at the forefront of DL research, there does not yet exist an educational visualization that covers recurrent neural networks (RNNs). Additionally, the benefits and trade-offs between using visualization environments and conventional learning material for DL have no

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"A Secure Electronic Messaging System in Client Server Cryptography-RSA Algorithm." International Journal of Engineering and Advanced Technology 8, no. 6S3 (November 22, 2019): 1804–8. http://dx.doi.org/10.35940/ijeat.f1343.0986s319.

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The potency and effectiveness of the knowledge systems, in some ways, rely upon its design and the way knowledge area unit transmitted among totally different parties. Similarly, a really crucial side within the computer code development is that the security of knowledge that flows through open communication channels. one in all the foremost widespread design is client/server design that creates the centralization of knowledge storage and process modify, and supply flexibility for applying authentication strategies and coding algorithms inside info systems. whereas the amount of shoppers incre

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Fatima, Mah Noor, Mohammad S. Obaidat, Khalid Mahmood, Salman Shamshad, Muhammad Asad Saleem, and Muhammad Faizan Ayub. "Privacy-Preserving Three-Factor Authentication Protocol for Wireless Sensor Networks Deployed in Agricultural Field." ACM Transactions on Sensor Networks, July 3, 2023. http://dx.doi.org/10.1145/3607142.

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The agriculture is the backbone of economic system, and it plays an essential part in the survival of a nation’s prosperity. In addition to providing raw materials and food, it also offers numerous employment opportunities. Consequently, agriculture necessitates modern technology to increase productivity. In these circumstances, Wireless Sensor Networks (WSNs) are used to detect climatic parameters like light, humidity, carbon dioxide, acidity, soil moisture, and temperature in an agricultural field. However, the research that is being done at the moment is unable to circumvent the issue that

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Rao, Prahalad, Satish Bukkapatnam, Omer Beyca, Zhenyu (James) Kong, and Ranga Komanduri. "Real-Time Identification of Incipient Surface Morphology Variations in Ultraprecision Machining Process." Journal of Manufacturing Science and Engineering 136, no. 2 (January 16, 2014). http://dx.doi.org/10.1115/1.4026210.

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Real-time monitoring and control of surface morphology variations in their incipient stages are vital for assuring nanometric range finish in the ultraprecision machining (UPM) process. A real-time monitoring approach, based on predicting and updating the process states from sensor signals (using advanced neural networks (NNs) and Bayesian analysis) is reported for detecting the incipient surface variations in UPM. An ultraprecision diamond turning machine is instrumented with three miniature accelerometers, a three-axis piezoelectric dynamometer, and an acoustic emission (AE) sensor for proce

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Ruggill, Judd, and Ken McAllister. "The Wicked Problem of Collaboration." M/C Journal 9, no. 2 (May 1, 2006). http://dx.doi.org/10.5204/mcj.2606.

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In “Dilemmas in a General Theory of Planning,” urban planners Horst Rittel and Melvin Webber outline what they term “wicked problems.” According to Rittel and Webber, wicked problems are unavoidably “ill-defined,” that is, unlike “problems in the natural sciences, which are definable and separable and may have solutions that are findable…[wicked problems] are never solved. At best they are only re-solved—over and over again” (160). Rittel and Webber were thinking specifically of the challenges involved in making decisions within immensely complex social circumstances—building highways through

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