標題: Titlebook: Machine Learning for Networking; Second IFIP TC 6 Int Selma Boumerdassi,éric Renault,Paul Mühlethaler Conference proceedings 2020 IFIP Inte [打印本頁] 作者: Malinger 時間: 2025-3-21 17:16
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)學科排名
書目名稱Machine Learning for Networking網絡公開度
書目名稱Machine Learning for Networking網絡公開度學科排名
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讀者反饋學科排名
作者: Corroborate 時間: 2025-3-21 22:06 作者: conceal 時間: 2025-3-22 04:17 作者: 不真 時間: 2025-3-22 05:19 作者: BLAZE 時間: 2025-3-22 10:36 作者: IRS 時間: 2025-3-22 14:54 作者: 狂亂 時間: 2025-3-22 17:37 作者: FLORA 時間: 2025-3-22 23:24
Golshan Famitafreshi,Cristina Cano innig verbunden. Als haben doch die damalige Zusammenarbeit und gemein- freiberuflicher Landschaftsarchitekt wurde ich das erste samen überlegungen über dieses dringend ben?tigte W?r- Mal im Jahr 1962 nach Israel zum dortigen Kongress in terbuch Früchte getragen. Damals ging ich noch von der Haifa 作者: 枕墊 時間: 2025-3-23 02:16 作者: jettison 時間: 2025-3-23 07:29
Network Anomaly Detection Using Federated Deep Autoencoding Gaussian Mixture Model,nomaly detection tasks. However, the absence of large amount of training data greatly compromises DAGMM’s performance. Due to rising concerns for privacy, a worse situation can be expected. By aggregating only parameters from local training on clients for obtaining knowledge from more private data, 作者: Instrumental 時間: 2025-3-23 14:07
Network Traffic Classification Using Machine Learning for Software Defined Networks,ffective to handle this large number of traffic generated by these technologies. At the same time, Software defined networking (SDN) introduced a programmable and scalable networking solution that enables Machine Learning (ML) applications to automate networks. Issues with traditional methods to cla作者: Conspiracy 時間: 2025-3-23 20:47
A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detectihis research aims to detect network intrusion with the highest accuracy and fastest time. To achieve this, nine supervised machine learning algorithms were first applied to the UNSW-NB15 dataset for network anomaly detection. In addition, different attacks are investigated with different mitigation 作者: 嬰兒 時間: 2025-3-23 23:11 作者: Detonate 時間: 2025-3-24 05:29 作者: 過多 時間: 2025-3-24 07:00 作者: essential-fats 時間: 2025-3-24 11:42 作者: 群居男女 時間: 2025-3-24 16:44
Root Cause Analysis of Reduced Accessibility in 4G Networks,orks’ events. However, it is usually a difficult task to understand the root cause of the network problems, so that autonomous actuation can be provided in advance..This paper analyzes the probable root causes of reduced accessibility in 4G networks, taking into account the information of important 作者: 無能力 時間: 2025-3-24 22:29
Space-Time Pattern Extraction in Alarm Logs for Network Diagnosis, cumbersome and time consuming, experts need tools helping them to quickly pinpoint the root cause when a problem arises. A structure called DIG-DAG able to store chain of alarms in a compact manner according to an input log has recently been proposed. Unfortunately, for large logs, this structure m作者: blister 時間: 2025-3-25 01:48
Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Rcale to support their communications over long distances. Application-level measurements of MPI operations reflect the connection Round-Trip Time (RTT) and loss rate, and machine learning methods have been previously developed to estimate them under deterministic periodic losses. In this paper, we c作者: Grasping 時間: 2025-3-25 05:35 作者: 過多 時間: 2025-3-25 09:44
GAMPAL: Anomaly Detection for Internet Backbone Traffic by Flow Prediction with LSTM-RNN,ve a general-purpose anomaly detection. For scalability to the number of entries in the BGP RIB (Routing Information Base), GAMPAL introduces .. The BGP RIB entries are classified into the path aggregates, each of which is identified with the first three AS numbers in the AS_PATH attribute. GAMPAL e作者: 無聊點好 時間: 2025-3-25 12:12 作者: Neonatal 時間: 2025-3-25 17:38 作者: Repatriate 時間: 2025-3-25 21:35 作者: 失望昨天 時間: 2025-3-26 03:00 作者: 高興去去 時間: 2025-3-26 05:20
Emotion-Based Adaptive Learning Systems,d steps to climb the stairs of academic levels. Traditionally those predefined steps forces students to go through the beginner level to advanced level and then specialized in a specific level. The main problem was that the teaching styles and content delivery was not tailored to every learning styl作者: Cerumen 時間: 2025-3-26 08:38 作者: Indurate 時間: 2025-3-26 15:39 作者: 共和國 時間: 2025-3-26 20:11
Language Model Co-occurrence Linking for Interleaved Activity Discovery,a recurrent neural network cell. We present our approach and test it on a realistic dataset to evaluate its performance. Our results show the viability of the approach and that it shows promise for further investigation. We believe this is a useful direction to consider in accounting for the continu作者: concise 時間: 2025-3-26 22:49 作者: 充滿人 時間: 2025-3-27 01:16 作者: 古代 時間: 2025-3-27 07:56
Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Rem; instead, we fuse them to retain their design diversity. Overall, the results show that accurate estimates can be generated at low loss rates but become inaccurate at loss rates 10% and higher, thereby illustrating both their strengths and limitations.作者: photopsia 時間: 2025-3-27 13:14
Algorithm Selection and Model Evaluation in Application Design Using Machine Learning,y AI examine just as in numerous mechanical settings. This article audits various systems that can be utilized for every one of these three subtasks and talks about the primary focal points and drawbacks of every method with references to theoretical and observational investigations. Further, sugges作者: 廢止 時間: 2025-3-27 14:38
Revealing User Behavior by Analyzing DNS Traffic,es. Finding human patterns in the data could be of high interest to researchers that analyze the human behavior regarding Internet’s usage. The procedure was able to detect some trends and patterns in the data that are discussed along with proper evaluation measures for further comparison.作者: musicologist 時間: 2025-3-27 21:42
Emotion-Based Adaptive Learning Systems,ery learner based upon the learner’s personality, interests and performance. This research presents a novel approach of adaptive learning by presenting an emotion-based adaptive learning system where the emotion and psychological traits of the learner is considered to provide learning materials that作者: Irascible 時間: 2025-3-27 23:12
0302-9743 tware de ned networks,cooperative networks, positioning and navigation systems, wireless communications,wireless sensor networks, underwater sensor networks.978-3-030-45777-8978-3-030-45778-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 睨視 時間: 2025-3-28 05:12 作者: indecipherable 時間: 2025-3-28 06:55 作者: maroon 時間: 2025-3-28 12:58
Diogo Ferreira,Carlos Senna,Paulo Salvador,Luís Cortes?o,Cristina Pires,Rui Pedro,Susana Sargento作者: opportune 時間: 2025-3-28 17:24
Nageswara S. V. Rao,Neena Imam,Zhengchun Liu,Rajkumar Kettimuthu,Ian Foster作者: 可行 時間: 2025-3-28 20:42
Srikanth Bethu,B. Sankara Babu,K. Madhavi,P. Gopala Krishna作者: cleaver 時間: 2025-3-29 02:21
Martín Panza,Diego Madariaga,Javier Bustos-Jiménez作者: 斗志 時間: 2025-3-29 05:29
Jaekyung Yang,Jong-Yeong Lee,Myoungjin Choi,Yeongin Joo作者: 飾帶 時間: 2025-3-29 09:39 作者: 輕觸 時間: 2025-3-29 11:33
Sai Prithvisingh Taurah,Jeshta Bhoyedhur,Roopesh Kevin Sungkur作者: 憤怒歷史 時間: 2025-3-29 17:11
Vassia Bonandrini,Jean-Fran?ois Bercher,Nawel Zangar作者: 發(fā)出眩目光芒 時間: 2025-3-29 21:17
Conference proceedings 2020nd decentralizedmachine learning algorithms, intelligent cloud-support communications,ressource allocation, energy-aware communications, software de ned networks,cooperative networks, positioning and navigation systems, wireless communications,wireless sensor networks, underwater sensor networks.作者: subacute 時間: 2025-3-30 02:27
rchitekten unsere Vereinigung bei den internatio- Vorrang haben. Es war deshalb Idealismus verlangt und nalen Besprechungen, auf regionalen Ebenen und im diesen haben die Bearbeiter dieses Lexikons im Team Bereich der Welt. Etliche Jahre Vizepr?sident der IFLA, aufgebracht. So ist es mir eine gro?e 作者: Reservation 時間: 2025-3-30 06:05 作者: hereditary 時間: 2025-3-30 09:31
Fran?ois Alin,Amine Chemchem,Florent Nolot,Olivier Flauzac,Micha?l Krajeckirchitekten unsere Vereinigung bei den internatio- Vorrang haben. Es war deshalb Idealismus verlangt und nalen Besprechungen, auf regionalen Ebenen und im diesen haben die Bearbeiter dieses Lexikons im Team Bereich der Welt. Etliche Jahre Vizepr?sident der IFLA, aufgebracht. So ist es mir eine gro?e 作者: 商議 時間: 2025-3-30 14:29
Menuka Perera Jayasuriya Kuranage,Kandaraj Piamrat,Salima Hammarchitekten unsere Vereinigung bei den internatio- Vorrang haben. Es war deshalb Idealismus verlangt und nalen Besprechungen, auf regionalen Ebenen und im diesen haben die Bearbeiter dieses Lexikons im Team Bereich der Welt. Etliche Jahre Vizepr?sident der IFLA, aufgebracht. So ist es mir eine gro?e 作者: Anonymous 時間: 2025-3-30 17:16 作者: 不規(guī)則 時間: 2025-3-30 22:44 作者: 龍蝦 時間: 2025-3-31 02:36 作者: Glutinous 時間: 2025-3-31 08:26 作者: 網絡添麻煩 時間: 2025-3-31 10:02 作者: 慌張 時間: 2025-3-31 16:30 作者: 小步舞 時間: 2025-3-31 20:46
Machine Learning Methods for Anomaly Detection in IoT Networks, with Illustrations,ning algorithms and show that it is relatively easy to obtain reproducible results [.] at the state-of-the-art. Finally, we discuss embedding such algorithms in the IoT context and point-out the possible interest of very simple rules.作者: Malfunction 時間: 2025-4-1 01:36 作者: 材料等 時間: 2025-4-1 03:25
Towards a Hierarchical Deep Learning Approach for Intrusion Detection,ent resources. That is why this paper presents a new hierarchical method based on deep learning algorithms to deal with intrusion detection. This method has proven to be very effective across traditional implementation on four public datasets, and meets all the other requirements of an efficient intrusion detection system.作者: Stricture 時間: 2025-4-1 06:56 作者: Inoperable 時間: 2025-4-1 11:05 作者: 雪白 時間: 2025-4-1 18:15
Q-routing: From the Algorithm to the Routing Protocol,n in 1994 based on Q-learning on the network simulator Qualnet. Twenty-five years later, we conclude that a more realistic implementation in more realistic network environment does not give always better Quality of Service than the historical Bellman-Ford protocol. We provide all the materials to conduct reproducible research.作者: 公共汽車 時間: 2025-4-1 20:30 作者: 可忽略 時間: 2025-4-1 23:04
Space-Time Pattern Extraction in Alarm Logs for Network Diagnosis,ay be huge, and thus hardly readable for experts. To circumvent this problem, this paper proposes a framework allowing to query a DIG-DAG in order to extract patterns of interest, and a full methodology for end-to-end analysis of a log.作者: CRANK 時間: 2025-4-2 05:44
