標(biāo)題: Titlebook: Advanced Network Technologies and Intelligent Computing; Third International Anshul Verma,Pradeepika Verma,Isaac Woungang Conference proce [打印本頁(yè)] 作者: Waterproof 時(shí)間: 2025-3-21 18:11
書(shū)目名稱Advanced Network Technologies and Intelligent Computing影響因子(影響力)
書(shū)目名稱Advanced Network Technologies and Intelligent Computing影響因子(影響力)學(xué)科排名
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書(shū)目名稱Advanced Network Technologies and Intelligent Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Advanced Network Technologies and Intelligent Computing被引頻次
書(shū)目名稱Advanced Network Technologies and Intelligent Computing被引頻次學(xué)科排名
書(shū)目名稱Advanced Network Technologies and Intelligent Computing年度引用
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書(shū)目名稱Advanced Network Technologies and Intelligent Computing讀者反饋
書(shū)目名稱Advanced Network Technologies and Intelligent Computing讀者反饋學(xué)科排名
作者: 教唆 時(shí)間: 2025-3-21 22:49
Performance Comparison of?QoS Aware Power Allocation and?Optimization Techniques for?the?Small-Cell age and capacity. However, the presence of co-channel cells may result in interference among the user stations and degrade the overall system capacity. Hence, resource optimization techniques are required in these scenarios to improve the system capacity and user quality. In this study, the power al作者: 享樂(lè)主義者 時(shí)間: 2025-3-22 00:24
Reduced Competitive Ratio of?Sparse Semi-oblivious Routing Using Social Spider Algorithmapproach to tackle this is semi-oblivious routing, which incorporates adaptability to suit dynamic traffic demands with predefined paths. In comparison to other routing methodologies, semi-oblivious routing strategies display superior performance and robustness in practice..Introducing a fresh appro作者: 自傳 時(shí)間: 2025-3-22 07:10 作者: 幼稚 時(shí)間: 2025-3-22 10:35
Detection of?Malicious Network Traffic Attacks Using Support Vector Machineraffic attacks is crucial. This research work focuses on the use of Support Vector Machines (SVM) algorithm as a machine learning tool for the detection of network traffic attacks. SVM is a flexible and adaptable classification algorithm that has shown its fruitfulness in multiple domains, including作者: Exposure 時(shí)間: 2025-3-22 13:06 作者: AIL 時(shí)間: 2025-3-22 20:16
Enhancing Network Security: A Hybrid Approach for?Detection and?Mitigation of?Distributed Denial-of- (DoS) attack. A DDoS attack involves multiple computers working together to overwhelm a system, making it unavailable. On the other hand, a DoS attack is a one-on-one attempt to make a system or website inaccessible. Thus, it is crucial to construct an effective model for identifying various DDoS i作者: Bernstein-test 時(shí)間: 2025-3-22 23:04 作者: Anterior 時(shí)間: 2025-3-23 05:23 作者: COMMA 時(shí)間: 2025-3-23 09:10
Optimizing Amazon SageMaker Workloads with Predictive Compute Type Selection Strategiesdiciously. One key element in this process is predicting the most suitable “Compute Type” for various workloads, as different types exhibit varying efficiencies in handling specific tasks. The precision in selecting the appropriate compute type not only leads to enhanced performance but also contrib作者: Defense 時(shí)間: 2025-3-23 10:02
K-Means Clustering Based VM Placement Using MAD and?IQR essential for processor speed, particularly for Internet of Things (IoT) activities. Despite the existence of a significant amount of research in the green allocation of resource methodologies, it has been carried out to minimize the usage of the CDCs. Traditional systems mainly seek to minimize th作者: 粗俗人 時(shí)間: 2025-3-23 14:39 作者: GULP 時(shí)間: 2025-3-23 20:44 作者: 使絕緣 時(shí)間: 2025-3-24 00:05 作者: PATHY 時(shí)間: 2025-3-24 02:24
Tree Topologies and Node Covers for Efficient Communication in Wireless Sensor Networkssition of placement of sensor nodes so that the entire communication area is covered is called the sensor deployment problem. This problem is equivalently the classical NP-complete optimization graph problem called the node cover. The node cover problem finds application across a range of WSN scenar作者: 我的巨大 時(shí)間: 2025-3-24 06:37
Binary Computation Offloading in Edge Computing Using Deep Reinforcement Learningmputing solves these issues by using nearby servers for real-time processing. However, determining the optimal offloading strategy remains complex. This paper investigates a Deep Reinforcement Learning (DRL)-based binary offloading strategy for edge computing in mobile environments. DRL combines rei作者: Intractable 時(shí)間: 2025-3-24 12:56
Data Agent-Based Volumetric Progress Monitoring over?Mobile Ad-Hoc Network in?Disaster Managemention among various machineries. This work proposes an autonomous data agent-based automation of post disaster progress monitoring of volumetric activities over Mobile Ad-hoc NETwork (MANET) by leveraging WiFi Direct communication functionalities. This approach enables efficient and reliable communica作者: vasospasm 時(shí)間: 2025-3-24 16:17 作者: 露天歷史劇 時(shí)間: 2025-3-24 21:19 作者: 認(rèn)為 時(shí)間: 2025-3-25 02:00
Data Agent-Based Volumetric Progress Monitoring over?Mobile Ad-Hoc Network in?Disaster Managementtion among rescue teams, facilitating coordination and information exchange in challenging post disaster scenarios. The proposed work enables a Light Detection and Ranging (LIDAR)-based volumetric analysis with minimal computing overhead. A mobile application for Android 11 demonstrated the practical applicability of the proposed system.作者: 反復(fù)拉緊 時(shí)間: 2025-3-25 05:04 作者: rods366 時(shí)間: 2025-3-25 11:17
Conference proceedings 202411 short papers included in this book were carefully reviewed and selected from 487 submissions. The conference papers are organized in topical sections on:?..Part I - Advanced Network Technologies...Part II - Advanced Network Technologies; Intelligent Computing...Part III - IV - Intelligent Computing..作者: CHOP 時(shí)間: 2025-3-25 15:29
https://doi.org/10.1007/978-3-662-07593-7nforcement learning and deep neural networks to adapt to real-time data and diverse environmental conditions. Experimental study demonstrates the effectiveness of the proposed approach over local and remote execution in terms of total overhead and energy consumption.作者: 颶風(fēng) 時(shí)間: 2025-3-25 18:17 作者: 沒(méi)收 時(shí)間: 2025-3-25 20:47
https://doi.org/10.1007/978-3-8351-9020-7r honey traps in a novel manner. The rigorous evaluation of our approach demonstrates its ability to detect correlated attributes and adapt policy sets, marking a substantial step forward in proactive insider threat detection and mitigation.作者: 墻壁 時(shí)間: 2025-3-26 02:07 作者: 導(dǎo)師 時(shí)間: 2025-3-26 07:41 作者: 香料 時(shí)間: 2025-3-26 09:48 作者: 東西 時(shí)間: 2025-3-26 13:34
Performance Comparison of?QoS Aware Power Allocation and?Optimization Techniques for?the?Small-Cell r point Trust Region (IPTR) are discussed. The performance comparison is done with these algorithms to analyse the effect on sum rate, individual rates and computational complexity in small cell network scenarios. The results show that the LSQP technique has improved sum and user rate performance compared to SQP and trust region-based methods.作者: 上釉彩 時(shí)間: 2025-3-26 19:02 作者: 斑駁 時(shí)間: 2025-3-26 22:17 作者: 修改 時(shí)間: 2025-3-27 03:50
Tree Topologies and Node Covers for Efficient Communication in Wireless Sensor Networkstree-based networks and the exact values of the node and edge covers for trees such as n-centipedes, paths, stars, spike trees and banana trees are determined. Furthermore, a use case of node cover within WSNs is presented in the context of disaster response and emergency management in earthquake early warning systems.作者: 綁架 時(shí)間: 2025-3-27 08:07
1865-0929 onference on Advanced Network Technologies and Intelligent Computing, ANTIC 2023, held in Varanasi, India, during December 20-22, 2023...The 87 full papers and 11 short papers included in this book were carefully reviewed and selected from 487 submissions. The conference papers are organized in topi作者: fringe 時(shí)間: 2025-3-27 10:06
Reduced Competitive Ratio of?Sparse Semi-oblivious Routing Using Social Spider Algorithmn improving the competitive ratio of sparse semi-oblivious routing. Through proficiently responding to changes in traffic patterns with our path selections, we have opened up a road to more streamlined routing strategies. Our breakthrough lies in the mastery of SSA’s capabilities..Empirical evidence作者: 友好關(guān)系 時(shí)間: 2025-3-27 14:27 作者: Bronchial-Tubes 時(shí)間: 2025-3-27 20:48
IoT Based Safety Monitoring and Communication System for Underground Coal Minesing real-time data collection and analysis, the system can promptly identify dangerous gas levels or adverse environmental conditions. Consequently, the system will issue timely alerts and notifications to workers and supervisors, enabling swift responses and evacuation procedures in the event of es作者: 某人 時(shí)間: 2025-3-28 01:55
Enhancing Network Security: A Hybrid Approach for?Detection and?Mitigation of?Distributed Denial-of-on abilities of 1D Convolutional Neural Networks (CNNs) with the classification skills of Random Forest (RF) and Multi-layer Perceptron (MLP) classifiers. Using the CIC-DDoS2019 dataset, we perform multiclass classification of various DDoS attacks and conduct a comparative analysis of evaluation met作者: LINE 時(shí)間: 2025-3-28 05:06 作者: 翻動(dòng) 時(shí)間: 2025-3-28 06:19 作者: 就職 時(shí)間: 2025-3-28 13:03 作者: 我們的面粉 時(shí)間: 2025-3-28 15:18 作者: 追逐 時(shí)間: 2025-3-28 19:50 作者: instill 時(shí)間: 2025-3-29 00:26 作者: 不足的東西 時(shí)間: 2025-3-29 06:16
Analysis of the Impacts of Flooding-Based DDoS Attacks on SDN-Enabled Cloudfeatures of SDN architecture such as packet_in count and flow table entries are missing in non-SDN datasets and therefore, the experimental results based on these datasets can’t be accurate. The major contribution of this paper is to find out the features of DDoS in SDN-enabled cloud. A benchmark da作者: SPALL 時(shí)間: 2025-3-29 10:03
Advanced Network Technologies and Intelligent ComputingThird International 作者: EVICT 時(shí)間: 2025-3-29 12:34
https://doi.org/10.1007/978-3-8351-9020-7n improving the competitive ratio of sparse semi-oblivious routing. Through proficiently responding to changes in traffic patterns with our path selections, we have opened up a road to more streamlined routing strategies. Our breakthrough lies in the mastery of SSA’s capabilities..Empirical evidence作者: Compatriot 時(shí)間: 2025-3-29 18:20 作者: 繁榮中國(guó) 時(shí)間: 2025-3-29 22:34 作者: BOOM 時(shí)間: 2025-3-30 03:19
Grundlagen der Onpage-Optimierungon abilities of 1D Convolutional Neural Networks (CNNs) with the classification skills of Random Forest (RF) and Multi-layer Perceptron (MLP) classifiers. Using the CIC-DDoS2019 dataset, we perform multiclass classification of various DDoS attacks and conduct a comparative analysis of evaluation met作者: bacteria 時(shí)間: 2025-3-30 04:33
,Interférences, diffraction et polarisation,col parameters and features, IoT-related characteristics, and cost requirements for deployment in Smart Agriculture. Three popular LPWAN protocols—Sigfox, LoRaWAN, and NB-IoT—provide a complete description of their technical characteristics needed for the application and have been compared regarding作者: Outspoken 時(shí)間: 2025-3-30 09:25 作者: exostosis 時(shí)間: 2025-3-30 15:17
Handbuch der Physik‘ Encyclopedia of Physicsngs, and increased energy efficiency. In this paper, we have four kinds of compute types available in AWS - Accelerated Compute Types, Compute Optimized Instances, Memory Optimized Instances, and Standard Instances. We have proposed an automated approach for prediction of most appropriate compute ty作者: Fulminate 時(shí)間: 2025-3-30 19:45
https://doi.org/10.1007/978-3-642-45850-7scheme to improve energy savings. That is a unique adaptive energy-aware VM allocation and deployment technique for different applications to address these issues. We conducted a comprehensive exploratory program utilizing an authentic workload of over a million Planet Lab VMs. The research results 作者: Rebate 時(shí)間: 2025-3-30 22:36 作者: 石墨 時(shí)間: 2025-3-31 01:08 作者: quiet-sleep 時(shí)間: 2025-3-31 05:50 作者: ectropion 時(shí)間: 2025-3-31 11:26 作者: 混雜人 時(shí)間: 2025-3-31 17:21
https://doi.org/10.1007/978-3-8351-9020-7age and capacity. However, the presence of co-channel cells may result in interference among the user stations and degrade the overall system capacity. Hence, resource optimization techniques are required in these scenarios to improve the system capacity and user quality. In this study, the power al作者: 無(wú)思維能力 時(shí)間: 2025-3-31 19:06
https://doi.org/10.1007/978-3-8351-9020-7approach to tackle this is semi-oblivious routing, which incorporates adaptability to suit dynamic traffic demands with predefined paths. In comparison to other routing methodologies, semi-oblivious routing strategies display superior performance and robustness in practice..Introducing a fresh appro作者: 大量 時(shí)間: 2025-4-1 00:52
,Offpage-Optimierung über Social Signals,tudy proposes an ant colony optimization algorithm to optimize energy-efficient cluster-based routing within UWSNs. The network architecture involves systematic segmentation into clusters, each of which is monitored by a carefully selected cluster head (CH) based on criteria such as distance and rem作者: 惰性女人 時(shí)間: 2025-4-1 05:12
Vermarktung und Content-Seeding,raffic attacks is crucial. This research work focuses on the use of Support Vector Machines (SVM) algorithm as a machine learning tool for the detection of network traffic attacks. SVM is a flexible and adaptable classification algorithm that has shown its fruitfulness in multiple domains, including作者: wangle 時(shí)間: 2025-4-1 07:40
https://doi.org/10.1007/978-3-658-38150-9l mining gives rise to substantial safety risks for individuals. Mining sites are confronted with challenges, such as the existence of combustible gases like methane. Unintentional ignition of these gases leads to catastrophic mine explosions, resulting in fatalities and severe injuries. To address 作者: decode 時(shí)間: 2025-4-1 11:09
Grundlagen der Onpage-Optimierung (DoS) attack. A DDoS attack involves multiple computers working together to overwhelm a system, making it unavailable. On the other hand, a DoS attack is a one-on-one attempt to make a system or website inaccessible. Thus, it is crucial to construct an effective model for identifying various DDoS i作者: 異端邪說(shuō)2 時(shí)間: 2025-4-1 16:53 作者: 平息 時(shí)間: 2025-4-1 21:27
https://doi.org/10.1007/978-3-642-45850-7quently arise in dynamic real-world systems. The open-set classification framework plays a crucial role in addressing this challenge. In the context of node prediction within complex networks, the task of open-set prediction for unseen or unknown nodes remains a relatively unexplored frontier. The p作者: 詢問(wèn) 時(shí)間: 2025-4-2 00:36
Handbuch der Physik‘ Encyclopedia of Physicsdiciously. One key element in this process is predicting the most suitable “Compute Type” for various workloads, as different types exhibit varying efficiencies in handling specific tasks. The precision in selecting the appropriate compute type not only leads to enhanced performance but also contrib作者: 雄偉 時(shí)間: 2025-4-2 03:28
https://doi.org/10.1007/978-3-642-45850-7 essential for processor speed, particularly for Internet of Things (IoT) activities. Despite the existence of a significant amount of research in the green allocation of resource methodologies, it has been carried out to minimize the usage of the CDCs. Traditional systems mainly seek to minimize th
