標(biāo)題: Titlebook: Machine Learning for Networking; First International éric Renault,Paul Mühlethaler,Selma Boumerdassi Conference proceedings 2019 Springer [打印本頁] 作者: 熱情美女 時間: 2025-3-21 20:02
書目名稱Machine Learning for Networking影響因子(影響力)
書目名稱Machine Learning for Networking影響因子(影響力)學(xué)科排名
書目名稱Machine Learning for Networking網(wǎng)絡(luò)公開度
書目名稱Machine Learning for Networking網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning for Networking被引頻次
書目名稱Machine Learning for Networking被引頻次學(xué)科排名
書目名稱Machine Learning for Networking年度引用
書目名稱Machine Learning for Networking年度引用學(xué)科排名
書目名稱Machine Learning for Networking讀者反饋
書目名稱Machine Learning for Networking讀者反饋學(xué)科排名
作者: Pericarditis 時間: 2025-3-21 21:53 作者: curettage 時間: 2025-3-22 04:13
Machine Learning for Networking978-3-030-19945-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 厚顏無恥 時間: 2025-3-22 06:48 作者: Intact 時間: 2025-3-22 08:48
umpentemperatur entsprechenden S?ttigungsdruck komprimiert ist und damit zur Kondensation kommen kann. Dieser Frischlufteinla? beginnt, unmittelbar nach-dem der Sch?pfraum vom Ansaugstutzen abgetrennt ist, wodurch eine zu weitgehende Verschlechterung des Endvakuums vermieden wird. Zum Verst?ndnis de作者: GRILL 時間: 2025-3-22 14:32
Nageswara S. V. Rao,Satyabrata Sen,Zhengchun Liu,Rajkumar Kettimuthu,Ian Fosterumpentemperatur entsprechenden S?ttigungsdruck komprimiert ist und damit zur Kondensation kommen kann. Dieser Frischlufteinla? beginnt, unmittelbar nach-dem der Sch?pfraum vom Ansaugstutzen abgetrennt ist, wodurch eine zu weitgehende Verschlechterung des Endvakuums vermieden wird. Zum Verst?ndnis de作者: 雪上輕舟飛過 時間: 2025-3-22 17:26
Brice Leblanc,Emilien Bourdy,Hacène Fouchal,Cyril de Runz,Secil Ercanumpentemperatur entsprechenden S?ttigungsdruck komprimiert ist und damit zur Kondensation kommen kann. Dieser Frischlufteinla? beginnt, unmittelbar nach-dem der Sch?pfraum vom Ansaugstutzen abgetrennt ist, wodurch eine zu weitgehende Verschlechterung des Endvakuums vermieden wird. Zum Verst?ndnis de作者: 翅膀拍動 時間: 2025-3-22 21:54 作者: 創(chuàng)造性 時間: 2025-3-23 05:19 作者: Tinea-Capitis 時間: 2025-3-23 07:30
Zhengchun Liu,Rajkumar Kettimuthu,Prasanna Balaprakash,Nageswara S. V. Rao,Ian Foster scelta del corretto modello per l‘Universo primordiale. Non mancano infine alcuni accenni ad argomenti di interesse emergente, di tipo teorico-fenomenologico, come lo studio dell‘effetto di "deriva" del redshift, la cosmologia delle membrane, e il problema delle medie cosmologiche fatte su ipersupe作者: Perceive 時間: 2025-3-23 11:10
Meryem Amar,Mouad Lemoudden,Bouabid El Ouahidi scelta del corretto modello per l‘Universo primordiale. Non mancano infine alcuni accenni ad argomenti di interesse emergente, di tipo teorico-fenomenologico, come lo studio dell‘effetto di "deriva" del redshift, la cosmologia delle membrane, e il problema delle medie cosmologiche fatte su ipersupe作者: Lipohypertrophy 時間: 2025-3-23 17:05 作者: 符合你規(guī)定 時間: 2025-3-23 21:56
Mohamed Belaoued,Bouchra Guelib,Yasmine Bounaas,Abdelouahid Derhab,Mahmoud Boufaidas investigations into ontology were destroyed during world war II. Nor should one ignore the fact that most of the published papers, in which Le?niewski presented his system at the stage of formalisation, were written in a difficult and not easily intelligible style. Le?niewski’s complicated symbols作者: crease 時間: 2025-3-23 23:55 作者: Invertebrate 時間: 2025-3-24 03:59 作者: 脆弱吧 時間: 2025-3-24 09:17 作者: 十字架 時間: 2025-3-24 12:45 作者: TRACE 時間: 2025-3-24 16:58
Khadoudja Ghanemto several subvolumes which cover - in alphabetical order - all binary systems of importance. .Subvolume IV/5.H, the eighth of the series, deals with the systems Li-Mi ... Nd-Zr. Further subvolumes are in preparation.978-3-540-68538-8Series ISSN 1615-1844 Series E-ISSN 1616-9522 作者: 壓迫 時間: 2025-3-24 21:40
Redha Mili,Salim Chikhito several subvolumes which cover - in alphabetical order - all binary systems of importance. .Subvolume IV/5.H, the eighth of the series, deals with the systems Li-Mi ... Nd-Zr. Further subvolumes are in preparation.978-3-540-68538-8Series ISSN 1615-1844 Series E-ISSN 1616-9522 作者: 檔案 時間: 2025-3-25 02:20 作者: Fulsome 時間: 2025-3-25 05:02
Xuanlong Weng,Yin Luo,Jianbo Gao,Haishan Feng,Ke Huangto several subvolumes which cover - in alphabetical order - all binary systems of importance. .Subvolume IV/5.H, the eighth of the series, deals with the systems Li-Mi ... Nd-Zr. Further subvolumes are in preparation.978-3-540-68538-8Series ISSN 1615-1844 Series E-ISSN 1616-9522 作者: Outwit 時間: 2025-3-25 10:17 作者: 有害 時間: 2025-3-25 12:26
Yue Jin,Dimitre Kostadinov,Makram Bouzid,Armen Aghasaryan作者: Afflict 時間: 2025-3-25 16:35 作者: Chagrin 時間: 2025-3-25 22:13
Towards a Statistical Approach for User Classification in Twitter,s over a twitter dataset and learn-based algorithms in classification task. Several supervised learning algorithms were tested. We achieved high f-measure results of 96.2% using imbalanced datasets and (GBRT), 1.9% were gains when we used imbalanced datasets with Synthetic Minority Oversampling tech作者: 量被毀壞 時間: 2025-3-26 03:25
RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks, flows (an aggregation flow is a flow set that includes all flows flowing from the same source edge switch to the same destination edge switch) instead of a single flow. In order to test performance of RILNET, we propose a flow-level simulation and a packet-level simulation, and the both results sho作者: 加入 時間: 2025-3-26 06:44
Building a Wide-Area File Transfer Performance Predictor: An Empirical Study,0% of the edges, and .32% for 75% of the edges. We present a detailed analysis of these results that provides insights into the cause of some of the high errors. We envision that the performance predictor will be informative for scheduling geo-distributed workflows. The insights also suggest obvious作者: 枯燥 時間: 2025-3-26 08:36
Machine-Learned Classifiers for Protocol Selection on a Shared Network,acle would choose TCP-CUBIC for the new foreground traffic if only TCP-CUBIC is in use in the background, for fairness..Empirically, our k-nearest-neighbour (K-NN) classifier, utilizing dynamic time warping (DTW) measure, results in a protocol decision accuracy of 0.80 for .. The OPS approach’s thro作者: Glycogen 時間: 2025-3-26 12:42
Common Structures in Resource Management as Driver for Reinforcement Learning: A Survey and Researcde. In this paper, we review the existing resource management systems and unveil their common structural properties. We propose a meta-model and discuss the tracks on how these properties can enhance general purpose RL algorithms.作者: Parameter 時間: 2025-3-26 18:55
: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls, upon arbitrary combinations of such utilities. Specifically, by employing a stack of convolutional blocks, . can learn correlations between traffic demands and achievable optimal rate assignments. We further regulate the inferences made by the neural network through a simple ‘sanity check’ routine,作者: ANTIC 時間: 2025-3-27 00:55
Energy-Based Connected Dominating Set for Data Aggregation for Intelligent Wireless Sensor Networksted way based on predefined energy constraints, it represents an intelligent fault tolerance mechanism to maintain our network and to deal with packet loss. The simulation results show that our proposed method outperforms existing methods.作者: gout109 時間: 2025-3-27 03:13
LSTM Recurrent Neural Network (RNN) for Anomaly Detection in Cellular Mobile Networks,ithm. We have applied DNN (Deep Neural Network) to generate a profile on KPI features from historical data. It gave us deeper insight into how the cell is performing over time and can connect with the root causes or hidden fault of a major failure in the cellular network.作者: instate 時間: 2025-3-27 08:41 作者: 共和國 時間: 2025-3-27 10:09 作者: insecticide 時間: 2025-3-27 14:32 作者: 抱負(fù) 時間: 2025-3-27 19:38
Conference proceedings 2019s; Distributed and decentralized machine learning algorithms; Intelligent cloud-support communications, resource allocation, energy-aware/green communications, software defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks..作者: 星星 時間: 2025-3-27 23:58 作者: 征兵 時間: 2025-3-28 04:49
Towards Analysing Cooperative Intelligent Transport System Security Data,tor servers, smartphone applications. These amounts of data can be exploited and analysed in order to extract pertinent information as driver profiles, abnormal driving behaviours, etc. In this paper, we present a methodology for analysis of data provided by a real experimentation of a cooperative i作者: phlegm 時間: 2025-3-28 08:36
Towards a Statistical Approach for User Classification in Twitter,inguish the patterns of users from those of organizations and individuals. The ability of distinguishing between the two account types is needed for developing recommendation engines, consumer products opinion mining tools, and information dissemination platforms. However, such a task is non-trivial作者: GRAVE 時間: 2025-3-28 13:21
RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks,balancing mechanism which is widely used in?today’s datacenters, can balance load poorly and lead to congestion. Variety of load balancing schemes are proposed to address the problems of ECMP. However, these traditional schemes usually make load balancing decision only based on network knowledge for作者: 可忽略 時間: 2025-3-28 15:14 作者: Inordinate 時間: 2025-3-28 22:05
,Advanced Hybrid Technique in Detecting Cloud Web Application’s Attacks,ed fear and user’s renunciations. However, Machine learning processing has proven high robustness in solving security flaws and reducing false alarm rates in detecting attacks. This paper, proposes a hybrid system that does not only labels behaviors based on machine learning algorithms using both mi作者: llibretto 時間: 2025-3-28 23:04
Machine-Learned Classifiers for Protocol Selection on a Shared Network,raffic might influence which protocol to choose for a new foreground data transfer. Unfortunately, global knowledge can be difficult to obtain in a dynamic distributed system like a wide-area network (WAN)..Therefore, we introduce and evaluate a machine-learning (ML) approach to network performance,作者: Pert敏捷 時間: 2025-3-29 03:04 作者: 不再流行 時間: 2025-3-29 10:58
Inverse Kinematics Using Arduino and Unity for People with Motor Skill Limitations,ture the movement from the extremities in people with limited movement. It is noteworthy to mention that the results of said application are not discussed here but only the creation process is described. The first part is dedicated to describing the hardware required to use the app’s programmed tech作者: 任意 時間: 2025-3-29 14:09
: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls,network slice aims to accommodate the demands of increasingly diverse services. However, precise allocation of resources to slices across future 5G millimetre-wave backhaul networks, to optimise the total network utility, is challenging. This is because the performance of different services often de作者: explicit 時間: 2025-3-29 16:27
Malware Detection System Based on an In-Depth Analysis of the Portable Executable Headers, security field. In this paper, we propose a fast and highly accurate detection system of Portable Executable (PE) malware. The proposed system relies on analyzing the fields of the PE-headers using a basic way and a more in-depth way in order to generate a set of standard attributes (SAT), and mean作者: ANNUL 時間: 2025-3-29 23:27
DNS Traffic Forecasting Using Deep Neural Networks,rs’ queries becomes a very valuable data source, since it reveals user patterns and how their Internet usage changes through time. The periodicity in human behavior is also reflected in how users use the Internet and therefore in the DNS queries they generate. Thus, in this paper we propose the use 作者: 智力高 時間: 2025-3-30 01:28
Energy-Based Connected Dominating Set for Data Aggregation for Intelligent Wireless Sensor Networkstant method to maximize sensors’ lifetime. Aggregating sensed data from multiple sensors eliminates the redundant transmissions and provides fused information to the sink. It has been proved in the literature that a structure based data aggregation gives better results in terms of packet delivery an作者: amorphous 時間: 2025-3-30 05:24 作者: 沙發(fā) 時間: 2025-3-30 10:00
LSTM Recurrent Neural Network (RNN) for Anomaly Detection in Cellular Mobile Networks,n be monitored using advanced AI (Artificial Intelligent) applications/tools. In this paper, we have proposed LSTM (Long Short-Term Memory) based RNN (Recurrent Neural Network) which can model a time series profile for LTE network based on cell KPI values. We have shown in this paper that the dynami作者: 舊病復(fù)發(fā) 時間: 2025-3-30 12:45 作者: 污點 時間: 2025-3-30 19:33
Reinforcement Learning Based Routing Protocols Analysis for Mobile Ad-Hoc Networks,bal routing approach with a local routing approach both using reinforcement learning to maximize lifetime routing..We first propose a global routing algorithm based on reinforcement learning algorithm called Q-learning then we compare his results with a local routing algorithm called AODV-SARSA..Ave作者: Irksome 時間: 2025-3-30 23:02
Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting,e crowd. But how do we form an aggregated judgment when the size of the crowd is limited? Whose judgments do we include, and whose do we accord the most weight? This paper considers this problem in the context of geopolitical event forecasting, where volunteer analysts are queried to give their expe作者: 誘拐 時間: 2025-3-31 03:07 作者: genesis 時間: 2025-3-31 05:40
eratur der Pumpen in den meisten F?llen unter 100° C liegt und der Wasserdampf daher bei der Kompression in der Pumpe kondensiert. Zur Verhinderung dieser st?renden Konden-sation bzw. zur Beseitigung der dadurch bedingten M?ngel sind verschiedene Metho-den, wie Zentrifugierung des Pumpen?ls, Heizen 作者: colostrum 時間: 2025-3-31 11:32 作者: generic 時間: 2025-3-31 14:52 作者: Ankylo- 時間: 2025-3-31 17:42
Kheir Eddine Daouadi,Rim Zghal Reba?,Ikram Amouseratur der Pumpen in den meisten F?llen unter 100° C liegt und der Wasserdampf daher bei der Kompression in der Pumpe kondensiert. Zur Verhinderung dieser st?renden Konden-sation bzw. zur Beseitigung der dadurch bedingten M?ngel sind verschiedene Metho-den, wie Zentrifugierung des Pumpen?ls, Heizen 作者: Vldl379 時間: 2025-3-31 22:30
Qinliang Lin,Zhibo Gong,Qiaoling Wang,Jinlong Lieratur der Pumpen in den meisten F?llen unter 100° C liegt und der Wasserdampf daher bei der Kompression in der Pumpe kondensiert. Zur Verhinderung dieser st?renden Konden-sation bzw. zur Beseitigung der dadurch bedingten M?ngel sind verschiedene Metho-den, wie Zentrifugierung des Pumpen?ls, Heizen 作者: annexation 時間: 2025-4-1 03:16 作者: FLAIL 時間: 2025-4-1 09:55
Meryem Amar,Mouad Lemoudden,Bouabid El Ouahidiimento il più possibile moderno, completo e autosufficiente per i corsi semestrale di Cosmologia, Astrofisica o Fisica Astroparticellare che compaiono nel piano di studi della Laurea Magistrale in Fisica e in Astronomia. Contiene gli elementi di base della cosmologia relativistica, del modello cosmo作者: Stress-Fracture 時間: 2025-4-1 12:10 作者: Rodent 時間: 2025-4-1 15:50
Rui Li,Chaoyun Zhang,Pan Cao,Paul Patras,John S. Thompsoncontributions to mathematical logic.Exclusive focus on prima.This meticulous critical assessment of the ground-breaking work of philosopher Stanislaw? Le?niewski focuses exclusively on primary texts and explores the full range of output by one of the master logicians of the Lvov-Warsaw school. The a作者: 符合國情 時間: 2025-4-1 19:38
Mohamed Belaoued,Bouchra Guelib,Yasmine Bounaas,Abdelouahid Derhab,Mahmoud Boufaidaas constructed with the aim on the one hand of bringing logic closer to the intuitions of natural language and on the other of searching for foundations for mathematics. Le?niewski’s ontology, in spite of numerous intuitive and formal advantages and in spite of its considerable expressive potential,作者: Exonerate 時間: 2025-4-2 01:02
