Relevant bibliographies by topics / Frame network

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Frame network'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Frame network"

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Yan, Bo, Chuming Lin, and Weimin Tan. "Frame and Feature-Context Video Super-Resolution." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5597–604. http://dx.doi.org/10.1609/aaai.v33i01.33015597.

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For video super-resolution, current state-of-the-art approaches either process multiple low-resolution (LR) frames to produce each output high-resolution (HR) frame separately in a sliding window fashion or recurrently exploit the previously estimated HR frames to super-resolve the following frame. The main weaknesses of these approaches are: 1) separately generating each output frame may obtain high-quality HR estimates while resulting in unsatisfactory flickering artifacts, and 2) combining previously generated HR frames can produce temporally consistent results in the case of short informat
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Lu, Fan, Guang Chen, Sanqing Qu, Zhijun Li, Yinlong Liu, and Alois Knoll. "PointINet: Point Cloud Frame Interpolation Network." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 3 (2021): 2251–59. http://dx.doi.org/10.1609/aaai.v35i3.16324.

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LiDAR point cloud streams are usually sparse in time dimension, which is limited by hardware performance. Generally, the frame rates of mechanical LiDAR sensors are 10 to 20 Hz, which is much lower than other commonly used sensors like cameras. To overcome the temporal limitations of LiDAR sensors, a novel task named Point Cloud Frame Interpolation is studied in this paper. Given two consecutive point cloud frames, Point Cloud Frame Interpolation aims to generate intermediate frame(s) between them. To achieve that, we propose a novel framework, namely Point Cloud Frame Interpolation Network (P
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Ouyang, Ning, Zhishan Ou, and Leping Lin. "Video Super-Resolution Network with Gated High-Low Resolution Frames." Applied Sciences 13, no. 14 (2023): 8299. http://dx.doi.org/10.3390/app13148299.

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In scenes with large inter-frame motion variations, distant targets, and blurred targets, the lack of inter-frame alignment can greatly affect the effectiveness of subsequent video super-resolution reconstruction. How to perform inter-frame alignment in such scenes is the key to super-resolution reconstruction. In this paper, a new motion compensation method is proposed to design an alignment network based on gated high-low resolution frames. The core idea is to introduce a gating mechanism while using the information of high-low resolution neighboring frames to perform motion compensation ada
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Jadhav, Savita, and Sangeeta Jadhav. "VHFRP: Virtual Hexagonal Frame Routing Protocol for Wireless Sensor Network." International journal of Computer Networks & Communications 15, no. 2 (2023): 39–55. http://dx.doi.org/10.5121/ijcnc.2023.15203.

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As physical and digital worlds become increasingly intertwined, wireless sensor networks are becoming an indispensable technology. A mobile sink may be required for some applications in the sensor field, where incomplete and/or delayed data delivery can lead to inappropriate conclusions. Therefore, latency and packet delivery ratios must be of high quality. In most existing schemes, mobile sinks are used to extend network lifetimes. By partitioning the sensor field into k equal sized frames, the proposed scheme creates a virtual hexagonal structure. Each frame header (FH) is linked together th
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Li, Jiaao, Qunbo Lv, Wenjian Zhang, Yu Zhang, and Zheng Tan. "Burst-Enhanced Super-Resolution Network (BESR)." Sensors 24, no. 7 (2024): 2052. http://dx.doi.org/10.3390/s24072052.

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Multi-frame super-resolution (MFSR) leverages complementary information between image sequences of the same scene to increase the resolution of the reconstructed image. As a branch of MFSR, burst super-resolution aims to restore image details by leveraging the complementary information between noisy sequences. In this paper, we propose an efficient burst-enhanced super-resolution network (BESR). Specifically, we introduce Geformer, a gate-enhanced transformer, and construct an enhanced CNN-Transformer block (ECTB) by combining convolutions to enhance local perception. ECTB efficiently aggregat
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Nakayama, Yu, and Kaoru Sezaki. "Per-Flow Throughput Fairness in Ring Aggregation Network with Multiple Edge Routers." Big Data and Cognitive Computing 2, no. 3 (2018): 17. http://dx.doi.org/10.3390/bdcc2030017.

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Ring aggregation networks are often employed by network carriers because of their efficiency and high fault tolerance. A fairness scheme is required in ring aggregation to achieve per-flow throughput fairness and bufferbloat avoidance, because frames are forwarded along multiple ring nodes. N Rate N + 1 Color Marking (NRN + 1CM) was proposed to achieve fairness in ring aggregation networks consisting of Layer-2 Switches (SWs). With NRN + 1CM, frames are selectively discarded based on color and the frame-dropping threshold. To avoid the accumulation of a queuing delay, frames are discarded at u
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Volodymyr, Khandetskyi, and Karpenko Nadiia. "Analysis of the efficiency of block frame transmission in IEEE 802.11 computer networks." System technologies 1, no. 150 (2024): 158–65. http://dx.doi.org/10.34185/1562-9945-1-150-2024-16.

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In infrastructure schemes of WLANs wireless computer networks, which are based on the use of the DSF (distributed coordination function) function and the CSMA/CA mechanism, the station STA (STAtion) sends a frame if the transmission channel is released after waiting for the end of the DIFS (distributed interframe space) interval and operation of the slot selec-tion mechanism for transmission (backoff mechanism). In case of collisions or damage to the frame by interference, the AP cannot decode the frame and does not send it back to the ACS station. The sending station STA waits for the re-ceip
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Lan, Meng, Jing Zhang, Fengxiang He, and Lefei Zhang. "Siamese Network with Interactive Transformer for Video Object Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 2 (2022): 1228–36. http://dx.doi.org/10.1609/aaai.v36i2.20009.

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Semi-supervised video object segmentation (VOS) refers to segmenting the target object in remaining frames given its annotation in the first frame, which has been actively studied in recent years. The key challenge lies in finding effective ways to exploit the spatio-temporal context of past frames to help learn discriminative target representation of current frame. In this paper, we propose a novel Siamese network with a specifically designed interactive transformer, called SITVOS, to enable effective context propagation from historical to current frames. Technically, we use the transformer e
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Kim, Jeongmin, and Yong Ju Jung. "Multi-Stage Network for Event-Based Video Deblurring with Residual Hint Attention." Sensors 23, no. 6 (2023): 2880. http://dx.doi.org/10.3390/s23062880.

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Video deblurring aims at removing the motion blur caused by the movement of objects or camera shake. Traditional video deblurring methods have mainly focused on frame-based deblurring, which takes only blurry frames as the input to produce sharp frames. However, frame-based deblurring has shown poor picture quality in challenging cases of video restoration where severely blurred frames are provided as the input. To overcome this issue, recent studies have begun to explore the event-based approach, which uses the event sequence captured by an event camera for motion deblurring. Event cameras ha
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Xing, Guansheng, and Ziming Zhu. "Lane and Road Marker Semantic Video Segmentation Using Mask Cropping and Optical Flow Estimation." Sensors 21, no. 21 (2021): 7156. http://dx.doi.org/10.3390/s21217156.

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Lane and road marker segmentation is crucial in autonomous driving, and many related methods have been proposed in this field. However, most of them are based on single-frame prediction, which causes unstable results between frames. Some semantic multi-frame segmentation methods produce error accumulation and are not fast enough. Therefore, we propose a deep learning algorithm that takes into account the continuity information of adjacent image frames, including image sequence processing and an end-to-end trainable multi-input single-output network to jointly process the segmentation of lanes
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Dissertations / Theses on the topic "Frame network"

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Massey, David E. "Neural Network Application to Telemetry Frame Synchronization." International Foundation for Telemetering, 1992. http://hdl.handle.net/10150/611917.

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International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, California<br>This paper looks into the use of neural network software as applied to the classical signal to noise concern when dealing with space to ground data communications. Use of a digital neural network to extend the correlation range of Pulse Code Modulation (PCM) down into noise is investigated. Conventional synchronization pattern correlation is done with digital logic comparisons on a sliding window with a set number of bit mismatch errors allowed. Corre
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Joakim, Carlsson. "CloudMAC Frame Prioritization : QoS and routing of IEEE802.11 frames in a Opendaylight controlled network." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-36313.

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Wireless networks are common in large organisations that can cover multiple floors and buildings. Wireless networks become expensive as they grow and more control and coordination is needed to operate and management them. This thesis describes how CloudMAC, a software defined networking solution (SDN), were implemented in OpenDaylight Hydrogen, a SDN controller. CloudMAC reduces complexity in large wireless local area networks. CloudMAC splits access points (AP) into, a physical (accesses the wireless medium) and a logical (handles the processing of data) part. These two part are then placed i
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Chakravorty, Sham. "An optimization analysis of frame architecture in selected protocols." Master's thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-04272010-020044/.

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Brown, Kyle Russell. "Packet level frame discard for MPEG-2 video in an active network." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1000109.

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Thesis (M.S.)--University of Florida, 2002.<br>Title from title page of source document. Document formatted into pages; contains vii, 67 p.; also contains graphics. Includes vita. Includes bibliographical references.
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Bester, Manfred, and Brett Stroozas. "TELEMETRY AND COMMAND FRAME ROUTING IN A MULTI-MISSION ENVIRONMENT." International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604572.

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ITC/USA 2007 Conference Proceedings / The Forty-Third Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2007 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>In a modern ground control network for space communications, secure peer-to-peer TCP/IP network socket connections are typically used to transfer real-time telemetry and command frames between satellite operations centers and remote ground stations. Reliable and timely reconfiguration of data paths for upcoming pass supports becomes rather complex when many spacecraft and ground stations a
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Kanthla, Arjun Reddy. "Network Performance Improvement for Cloud Computing using Jumbo Frames." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143806.

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The surge in the cloud computing is due to its cost effective benefits and the rapid scalability of computing resources, and the crux of this is virtualization.  Virtualization technology enables a single physical machine to be shared by multiple operating systems. This increases the eciency of the hardware, hence decreases the cost of cloud computing. However, as the load in the guest operating system increases, at some point the physical resources cannot support all the applications efficiently. Input and output services, especially network applications, must share the same total bandwidth a
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Jun, Zhang, Qiu Yi, Du Yan, and Zhang Qishan. "The Realization of a Digital Correlation Detector of Telemetry Frame-Synchronization-Pattern Using a Neural Network." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611476.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>In this paper, a method for digital correlation detector that takes advantage of the frame-synchronization-pattern feature of coincidence rate and adopts a multiple-bit detection window is proposed. Based on this method, a new digital correlation detector with a neural network is designed. It can recognizes frame-synchronization-pattern with error bits and slippage bits correctly, which has been approved practically according to the experimental resul
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Панасюк, А. В. "Інформаційна технологія проектування мереж операторів зв'язку на основі технології Frame-Relay та MPLS". Master's thesis, Сумський державний університет, 2018. http://essuir.sumdu.edu.ua/handle/123456789/72179.

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Розроблена програмно-інформаційна система, яка має візуальний інтерфейс, що дозволяє на основі введення інформації про інтерфейси отримати код для налаштування роутерів та зручно скопіювати його або в мережу Cisco Packet Tracer або на реальне обладнання. Це дозволить, по перше, реалізувати правильне, кероване, захищене функціонування мережевого обладнання, а по друге, оптимізувати роботу оператора, а також покращити можливості навчання інженерів- операторів мереж. Представлене рішення має ряд переваг, серед яких: оптимізація роботі інженера-оператора по налаштуванню мережі, можливість легкого
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Schauss, Daniel S. "Implementation of a performance tracking system for a Wide Area Network Provider's Frame Relay Services group." Master's thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-02162010-020342/.

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Puri, Amit, Siragan Ozkan, Peter Schaefer, Bob Anderson, and Mike Williams. "NEW TELEMETRY HARDWARE FOR THE DEEP SPACE NETWORK TELEMETRY PROCESSOR SYSTEM." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/607706.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California<br>This paper describes the new Telemetry Processor Hardware (TPH) that Avtec Systems has developed for the Deep Space Network (DSN) Telemetry Processor (TLP) system. Avtec is providing the Telemetry Processor Hardware to RTLogic! for integration into the Telemetry Processor system. The Deep Space Network (DSN) is an international network of antennas that supports interplanetary spacecraft missions for exploration of the solar system and the universe. The
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Books on the topic "Frame network"

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Platt, Amelia. System management in a frame relay network. De Montfort University, 1994.

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Ibe, Oliver C. Converged network architectures: Delivering voice over IP, ATM, and frame relay. Wiley, 2002.

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IEEE Computer Society. LAN/MAN Standards Committee. and IEEE-SA Standards Board, eds. Supplement to carrier sense multiple access with collision detection (CSMA/CD) access method and physical layer specifications: Frame extensions for virtual bridged local area network (VLAN) tagging on 802.3 networks. Institute of Electrical and Electronics Engineers, 1998.

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Henderson, Liza. Frame relay internetworking. Sybex, Inc., 1999.

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Black, Uyless D. Frame relay networks: Specifications and implementations. McGraw-Hill, 1994.

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Black, Uyless D. Frame relay networks: Specifications and implementations. 2nd ed. McGraw-Hill, 1996.

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Black, Uyless D. Frame relay networks: Specifictions and implementations. McGraw-Hill, 1993.

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Mark, Miller. Analyzing broadband networks: Frame relay, SMDS & ATM. M&T Books, 1994.

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Mark, Miller. Analyzing broadband networks: ISDN, frame relay, SMDS, & ATM. 2nd ed. M&T Books, 1997.

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Held, Gilbert. Frame relay networking. Wiley, 1999.

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Book chapters on the topic "Frame network"

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Walton, D. "Frame Relay to ATM Interworking." In Data Network Engineering. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5215-4_8.

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Sujanani, Anish, and Shashidhar Pai. "802.11 Frame-level Network IDS for Public Wireless Networks." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8289-9_44.

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Kim, Wonjik, Masayuki Tanaka, Masatoshi Okutomi, and Yoko Sasaki. "Adaptive Future Frame Prediction with Ensemble Network." In Pattern Recognition. ICPR International Workshops and Challenges. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68787-8_1.

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Das, Santanu, Sourav Dey Roy, Priya Saha, and Mrinal Kanti Bhowmik. "FvFc-Net: Forged Video Frame Classification Network." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9762-2_9.

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Ng, Wei Lun, Chee Kyun Ng, Borhanuddin Mohd. Ali, and Nor Kamariah Noordin. "Wireless Controller Area Network Using Token Frame Scheme." In Informatics Engineering and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25462-8_49.

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Boutilier, Craig, and Moisés Goldszmidt. "The Frame Problem and Bayesian Network Action Representations*." In Logical Foundations for Cognitive Agents. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60211-5_5.

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Lin, Xuhu, Lili Zhao, Xi Liu, and Jianwen Chen. "MVFI-Net: Motion-Aware Video Frame Interpolation Network." In Computer Vision – ACCV 2022. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26313-2_21.

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Piquer, Jos’e Miguel, and Javier Bustos-Jim’enez. "Frame Allocation Algorithms for Multi-threaded Network Cameras." In Euro-Par 2010 - Parallel Processing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15277-1_53.

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Boutilier, Craig, and Moisés Goldszmidt. "The frame problem and Bayesian network action representations." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61291-2_42.

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Mathai, Varghese, Arun Baby, Akhila Sabu, Jeexson Jose, and Bineeth Kuriakose. "Video Frame Interpolation Using Deep Convolutional Neural Network." In Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00665-5_82.

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Conference papers on the topic "Frame network"

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Shaik, Sameerunnisa, and J. Jabez. "Associated Video Frame Steganography Model based on Frame Integrity Verification using GAN Network." In 2024 5th International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2024. http://dx.doi.org/10.1109/icosec61587.2024.10722460.

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S, Ashok, Alex Joseph K, Kessavan M, Susendhiran E, Prabhu V, and Venkat S. "Video Frame Transmission Using Semantic Frame Segmentation Over Deep Series Network with AWGN Channel." In 2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG). IEEE, 2024. https://doi.org/10.1109/icstsdg61998.2024.11026159.

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Chikh, Khaled, and Roberto Cavicchioli. "Adaptive Frame-Aware Network for Driver Monitoring Systems." In 2024 IEEE/ACM Symposium on Edge Computing (SEC). IEEE, 2024. https://doi.org/10.1109/sec62691.2024.00035.

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Li, Bokai, Wangwang Xu, Houying Qin, Lei Jin, Jing Wang, and Zeliang Zhao. "Micro-Expression Spotting and Recognition Network based on Apex Frame." In 2024 IEEE 5th International Conference on Pattern Recognition and Machine Learning (PRML). IEEE, 2024. https://doi.org/10.1109/prml62565.2024.10779771.

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Lei, Pengcheng, Zaoming Yan, Tingting Wang, Faming Fang, and Guixu Zhang. "Three-Stage Temporal Deformable Network for Blurry Video Frame Interpolation." In 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024. http://dx.doi.org/10.1109/icme57554.2024.10687742.

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Yang, Q., W. Li, Z. Huang, et al. "A frame prediction network for total-body dynamic PET imaging." In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). IEEE, 2024. http://dx.doi.org/10.1109/nss/mic/rtsd57108.2024.10656700.

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Chiang, Chi-Hsun, Chung-Yi Wang, and Gwo-Hwa Ju. "FUN-VFI: Flow-Upscaling Network for 4K Video Frame Interpolation." In 2024 2nd International Conference on Artificial Intelligence and Power Engineering (AIPE). IEEE, 2024. https://doi.org/10.1109/aipe63225.2024.00013.

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Jia, Zhidong, Yihang Zhang, Qingyang Li, and Xinggong Zhang. "Tackling Bit-Rate Variation of RTC Through Frame-Bursting Congestion Control." In 2024 IEEE 32nd International Conference on Network Protocols (ICNP). IEEE, 2024. https://doi.org/10.1109/icnp61940.2024.10858541.

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Zhang, Yitian, Yue Bai, Chang Liu, Huan Wang, Sheng Li, and Yun Fu. "Frame Flexible Network." In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.01012.

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Jankowski, Bartosz, Wojciech Mazurczyk, and Krzysztof Szczypiorski. "Information Hiding Using Improper frame padding." In 2010 14th International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2010. http://dx.doi.org/10.1109/netwks.2010.5624901.

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Reports on the topic "Frame network"

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Ward, Kimiora. Sierra Nevada Network high elevation white pine monitoring: 2021 annual report. National Park Service, 2024. http://dx.doi.org/10.36967/2302327.

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Five-needle white pines (Family Pinaceae, Genus Pinus, Subgenus Strobus), and in particular whitebark pine (Pinus albicaulis), limber pine (P. flexilis), and foxtail pine (P. balfouriana) are foundation species in upper subalpine and treeline forests of several National Park Service Pacific West Region parks, including Sequoia and Kings Canyon National Parks (SEKI) and Yosemite National Park (YOSE). The Sierra Nevada Network Inventory &amp; Monitoring Program, in collaboration with the Klamath Network, Upper Columbia Basin Network, and Mojave Desert Network have implemented a joint long-term m
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Kull, Kathleen, Craig Young, Jennifer Haack-Gaynor, Lloyd Morrison, and Michael DeBacker. Problematic plant monitoring protocol for the Heartland Inventory and Monitoring Network: Narrative, version 2.0. National Park Service, 2022. http://dx.doi.org/10.36967/nrr-2293355.

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Problematic species, which include invasive, exotic, and harmful species, fragment native ecosystems, displace native plants and animals, and alter ecosystem function. In National Parks, such species negatively affect park resources and visitor enjoyment by altering landscapes and fire regimes, reducing native plant and animal habitat, and increasing trail maintenance needs. Recognizing these challenges, Heartland Inventory and Monitoring (I&amp;M) Network parks identified problematic plants as the highest-ranking vital sign across the network. Given the need to provide early detection of pote
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deSouza, O., and M. Rodrigues. Guidelines for Running OSPF Over Frame Relay Networks. RFC Editor, 1994. http://dx.doi.org/10.17487/rfc1586.

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Conta, A., A. Malis, and M. Mueller. Transmission of IPv6 Packets over Frame Relay Networks Specification. RFC Editor, 1999. http://dx.doi.org/10.17487/rfc2590.

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Conta, A., P. Doolan, and A. Malis. Use of Label Switching on Frame Relay Networks Specification. RFC Editor, 2001. http://dx.doi.org/10.17487/rfc3034.

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Tayeb, Shahab. Protecting Our Community from the Hidden Vulnerabilities of Today’s Intelligent Transportation Systems. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2132.

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The ever-evolving technology interwoven into the transportation industry leaves it frequently at risk for cyber-attacks. This study analyzes the security of a common in-vehicle network, the Controller Area Network (CAN), standard in most vehicles being manufactured today. Like many other networks, CAN comes with inherent vulnerabilities that leave CAN implementations at risk of being targeted by cybercriminals. Such vulnerabilities range from eavesdropping, where the attacker can read the raw data traversing the vehicle, to spoofing, where the attacker can place fabricated traffic on the netwo
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McDonald, Jacob, Eric Starkey, and Wendy Wright. Wadeable stream suitability assessment for long-term monitoring: Ocmulgee National Monument. National Park Service, 2019. https://doi.org/10.36967/2259872.

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The Southeast Coast Network Monitoring Wadeable Stream Habitat Conditions in Southeast Coast Network Parks: Protocol Narrative (McDonald 2018a) was developed to provide insight into the status of, and trends in, stream and near-channel habitat conditions in wadeable streams at national parks, recreation areas, battle fields, and monuments in Alabama, Georgia, and South Carolina (McDonald et al. 2018a). These parks include Chattahoochee River National Recreation Area (CHAT), Kennesaw Mountain National Battlefield Park (KEMO), Congaree National Park (CONG), Horseshoe Bend National Military Park
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Martini, L., C. Kawa, and A. Malis, eds. Encapsulation Methods for Transport of Frame Relay over Multiprotocol Label Switching (MPLS) Networks. RFC Editor, 2006. http://dx.doi.org/10.17487/rfc4619.

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Martini, L., E. Rosen, and N. El-Aawar, eds. Encapsulation Methods for Transport of Layer 2 Frames over MPLS Networks. RFC Editor, 2007. http://dx.doi.org/10.17487/rfc4905.

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Debroux, Patrick. The Use of Adjacent Video Frames to Increase Convolutional Neural Network Classification Robustness in Stressed Environments. DEVCOM Analaysis Center, 2023. http://dx.doi.org/10.21236/ad1205367.

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