MASOOD, MUHAMMAD UMAR
 Distribuzione geografica
Continente #
AS - Asia 4.605
NA - Nord America 3.692
EU - Europa 3.580
SA - Sud America 415
Continente sconosciuto - Info sul continente non disponibili 359
AF - Africa 71
OC - Oceania 4
Totale 12.726
Nazione #
US - Stati Uniti d'America 3.558
SG - Singapore 1.241
VN - Vietnam 1.231
IT - Italia 1.032
CN - Cina 863
RU - Federazione Russa 550
IE - Irlanda 505
FR - Francia 373
BR - Brasile 330
GB - Regno Unito 259
KR - Corea 257
BD - Bangladesh 248
DE - Germania 245
HK - Hong Kong 205
BE - Belgio 141
IN - India 138
CA - Canada 83
FI - Finlandia 73
ES - Italia 67
UA - Ucraina 65
ID - Indonesia 63
NL - Olanda 55
JP - Giappone 54
TR - Turchia 40
IL - Israele 38
PK - Pakistan 37
SE - Svezia 37
PT - Portogallo 33
TW - Taiwan 33
CH - Svizzera 32
PH - Filippine 31
TH - Thailandia 30
IQ - Iraq 28
ZA - Sudafrica 27
MX - Messico 24
AT - Austria 19
CL - Cile 19
BG - Bulgaria 17
AR - Argentina 15
CO - Colombia 13
EC - Ecuador 13
PL - Polonia 13
UZ - Uzbekistan 13
CZ - Repubblica Ceca 12
GR - Grecia 11
JO - Giordania 9
KE - Kenya 9
MA - Marocco 9
IR - Iran 8
RO - Romania 8
PY - Paraguay 7
VE - Venezuela 7
ET - Etiopia 6
MY - Malesia 6
NO - Norvegia 6
SA - Arabia Saudita 6
DZ - Algeria 5
GT - Guatemala 5
JM - Giamaica 5
AL - Albania 4
AU - Australia 4
CR - Costa Rica 4
EG - Egitto 4
HR - Croazia 4
NP - Nepal 4
OM - Oman 4
PE - Perù 4
TN - Tunisia 4
UY - Uruguay 4
DK - Danimarca 3
GE - Georgia 3
HN - Honduras 3
LU - Lussemburgo 3
RS - Serbia 3
TT - Trinidad e Tobago 3
AE - Emirati Arabi Uniti 2
AO - Angola 2
BO - Bolivia 2
CG - Congo 2
CY - Cipro 2
HU - Ungheria 2
KZ - Kazakistan 2
LK - Sri Lanka 2
LT - Lituania 2
NI - Nicaragua 2
SI - Slovenia 2
A2 - ???statistics.table.value.countryCode.A2??? 1
BA - Bosnia-Erzegovina 1
BM - Bermuda 1
BY - Bielorussia 1
CI - Costa d'Avorio 1
DO - Repubblica Dominicana 1
GY - Guiana 1
HT - Haiti 1
KG - Kirghizistan 1
LB - Libano 1
ME - Montenegro 1
MT - Malta 1
MU - Mauritius 1
PA - Panama 1
Totale 12.361
Città #
Singapore 723
Dublin 465
San Jose 447
Turin 399
Ashburn 371
Ho Chi Minh City 316
Hanoi 314
Council Bluffs 218
Dallas 211
Chandler 199
Milan 192
Beijing 184
Seoul 181
Santa Clara 169
Southend 156
Houston 142
Hong Kong 141
Brussels 138
Boardman 125
Hefei 109
Los Angeles 97
Princeton 90
Rome 81
New York 76
Lauterbourg 63
Menlo Park 61
Da Nang 60
Berlin 56
Jakarta 56
Moscow 52
Lappeenranta 51
Haiphong 49
Figino 45
Kyiv 45
Ann Arbor 43
Frankfurt am Main 43
The Dalles 43
Amsterdam 38
São Paulo 35
Buffalo 33
Piscataway 33
Chicago 31
Bern 29
Tel Aviv 29
Toronto 29
Tokyo 26
Wilmington 26
Chennai 25
Munich 25
Fuzhou 24
Istanbul 23
Shanghai 23
Orem 21
Seattle 21
Hải Dương 19
Johannesburg 19
Nuremberg 19
Sanming 19
Woodbridge 19
San Antonio 18
Brooklyn 17
Guangzhou 17
Granada 16
Helsinki 16
Lisbon 16
Can Tho 15
Naples 15
Sofia 15
Baghdad 14
Fairfield 14
Frisco 14
Guiyang 13
London 13
Redmond 13
Redondo Beach 13
Vienna 13
Washington 13
Atlanta 12
Tashkent 12
Montreal 11
Santiago 11
Stockholm 11
Basking Ridge 10
Birmingham 10
Biên Hòa 10
Candiolo 10
Denver 10
Dhaka 10
Madrid 10
Nha Trang 10
Salvador 10
Bangkok 9
Cangzhou 9
Gothenburg 9
Mexico City 9
Quận Ba 9
Rio de Janeiro 9
Aveiro 8
Belo Horizonte 8
Bình Phước 8
Totale 7.267
Nome #
Networking Assessment of ROADM Architecture based on Photonics Integrated WSS for 800G Multi-band Optical Transport 320
SOP-Based Anomaly Detection Leveraging Machine Learning for Proactive Optical Restoration 314
Design and performance assessment of modular multi-band photonic-integrated WSS 279
Automatic Management of N×N Photonic Switch Powered by Machine Learning in Software-defined Optical Transport 273
Machine Learning Agents Leveraging Digital Twins for Failure Prediction in Optical Networks 249
Impact of Waveband and Wavelength Switching in the Next-Generation Optical Networks 248
Waveband selective switch: a networking analysis for advanced optical transport networks in 6G and beyond technologies 243
A Machine Learning-Based Model for Characterizing Stationary-and-Dynamic Behavior of VCSEL 223
Softwarized and Autonomous Management of Photonic Switching Systems Using Machine Learning 214
Automated model for characterization of VCSEL circuit-level parameters using machine learning 213
Machine-learning-aided abstraction of photonic integrated circuits in software-defined optical transport 210
Performance evaluation of data-driven techniques for the softwarized and agnostic management of an N×N photonic switch 199
Integrated multi-band WSS: from design to performance evaluation 198
Networking Study of Waveband/Wavelength Switching for Multi-Granular and Multi-Band Optical Networks 196
Optimal control of Beneš optical networks assisted by machine learning 193
Optimized management of ultra-wideband photonics switching systems assisted by machine learning 192
Multiband Photonic Integrated WSS beyond 1Tb/s Data Center Interconnect Technology 188
AI-Driven Fault Prediction and Restoration Leveraging Real-Time SOP Monitoring 187
Scaling Optical Transport using Multi-band Photonic Integrated Switching Systems 185
Machine Learning Driven Model for Software Management of Photonics Switching Systems 182
Machine Learning Assisted Management of Photonic Switching Systems 180
A Data-Driven Approach to Autonomous Management of Photonic Switching System 179
Smart Provisioning of Sliceable Bandwidth Variable Transponders in Elastic Optical Networks 176
A Comprehensive Network Performance Analysis of Multi-band Photonic Integrated WSS for 400G and 800G Transmission 175
Resilient Anomaly Detection in Fiber-Optic Networks: A Machine Learning Framework for Multi-Threat Identification Using State-of-Polarization Monitoring 173
Machine Learning for Predictive Multi-Event Detection in Fiber Optic Systems 172
Impact of data center placement on the power consumption of flexible-grid optical networks 168
Lightpath QoT Computation in Optical NetworksAssisted by Transfer Learning 167
Network Performance of ROADM Architecture Enabled by Novel Wideband-integrated WSS 166
Demonstration of Real-Time AI-Enabled Smart Fault Detection using State-of-Polarization Monitoring 165
Multi-band Photonic Integrated WSS for 800G Optical Data Center Interconnect Systems 164
Photonic-integrated wavelength selective switch for S+C+L applications 163
Network Data Based Transfer Learning Failure Prediction Agent Pre-Trained Using Digital Twin 161
Networking Analysis of Photonics Integrated Multiband WSS Based ROADM Architecture 160
Cross-feature trained machine learning models for QoT-estimation in optical networks 160
Machine Learning Aided Prediction of Fabrication Uncertainties in Integrated Multi-Ring Filters 159
Machine Learning Assisted Model of QoT Penalties for Photonics Switching Systems 158
Effectiveness of Machine Learning in Assessing QoT Impairments of Photonics Integrated Circuits to Reduce System Margin 157
Machine Learning aided characterization of multi-stage integrated ring resonator filters 154
A Neural Network-Based Automatized Management of N ×N Integrated Optical Switches 154
Network performance analysis of a {PIC}-based reconfigurable add-drop multiplexer for multiband applications 152
Multi-labeled Random-forest Enabled Softwarized Management for Photonics Switching Systems 147
Novel Design and Operation of Photonic- integrated WSS for Ultra-wideband Applications 147
Statistical Analysis of end-to-end Route Feasibility in Converged Metro–Access Optical Networks 147
Network Traffic Analysis of Modular Multiband Integrated WSS based ROADMs 144
Machine learning assisted abstraction of photonic integrated circuits in fully disaggregated transparent optical networks 144
Capacity Assessment in Converged Metro-Access Optical Networks for end-to-end RAN Fronthaul 143
Modular and scalable photonic integrated multi-band wavelength-selective switch 143
Two-step machine learning assisted extraction of VCSEL parameters 142
Machine Learning-based Model for Defining Circuit-level Parameters of VCSEL 141
Digital Twin-Integrated Binary Classifier ML Model for EDFA Failure Prediction 139
Modular Photonic-Integrated Device for Multi-Band Wavelength-Selective Switching 138
Intelligent Detection of Overlapping Fiber Anomalies in Optical Networks Using Machine Learning 136
Autonomous Control Model for C+L Multi-band Photonic Switch System using Machine Learning 136
Autonomous Data-driven Model for Extraction of VCSEL Circuit-level Parameters 134
QoT- Estimation Assisted by Transfer learning in Extended C-band Network Operating on 400ZR 134
Modeling Off-line Routing and Spectrum Allocation Problem in Elastic Optical Network 131
Iterative Transfer Learning Approach for QoT Prediction of Lightpath in Optical Networks 126
Impairment-aware Virtual Network Embedding Using Time Domain Hybrid Modulation formats in Optical Networks 124
Machine learning Assisted Accurate Estimation of QoT Impairments of Photonics Switching System on 400ZR 124
Evaluating Cross- feature Trained Machine Learning Models for Estimating QoT of Unestablished Lightpaths 123
Knowledge Distillation-Based Compression Model for QoT Estimation of an Unestablished Lightpaths 122
Performance Analysis of Novel Multi-band Photonic-integrated WSS Operated on 400ZR 122
Routing and Spectrum Allocation Heuristic for Sliced Elastic Optical Network System 122
Convolutional neural network for quality of transmission prediction of unestablished lightpaths 122
Performance Analysis of Transfer-learning Approaches for QoT Estimation of Network Operating with 400ZR 121
Machine Learning Assisted Extraction of Vertical Cavity Surface Emitting Lasers Parameters 121
Photonics Integrated Multiband WSS Based ROADM Architecture: A Networking Analysis 120
Transfer learning Aided QoT Computation in Network Operating with the 400ZR Standard 120
Statistical Evaluation of Lightpath Feasibility in Converged Optical Metro-Access Networks 113
Evaluating Metro-Access Optical Networks as-a-Service for Flexible RAN X-haul 112
Machine Learning–Based Detection and Classification of Overlapping Fiber Anomalies 109
Optimizing RAN X-Haul Performance through Targeted Hollow-Core Fiber Deployment in Converged Metro-Access Networks 109
Failure Prediction in Optical Transport Networks Through the Integration of Digital Twins and Deep Learning 107
Leveraging Digital Twins to Build Comprehensive Network Failure Databases for Predictive Machine Learning in Optical Transport Networks 103
Experimentally Characterized Digital Twin for Machine Learning Based EDFA Failure Prognostics 82
Statistical Route Feasibility in Metro-Access Optical Networks for Next-Generation RAN X-Haul 80
Reinforcement Learning to Enhance Digital Twin Based EDFA Fault Prediction in Optical Networks 70
AI-driven converged metro-access optical network-as-a-service with point-to-multipoint coherent optics for 6G X-Hauling 49
Evaluating Capacity Scaling Strategies for Cost-Efficient Optical Network Evolution 27
LLM-Assisted Design and Analytics of Next-Generation Optical Transport Networks 27
Sustainable 6G Optical Any-Haul with Coherent Pluggables in Converged Metro-Access 23
Benefits of Selective Hollow-Core Fiber Deployment for 6G X-Haul in Converged Metro-Access Networks 17
Real-Time Vibration Anomaly Detection in Operational Metropolitan Optical Networks Using Machine Learning 16
Totale 12.726
Categoria #
all - tutte 37.095
article - articoli 6.914
book - libri 0
conference - conferenze 29.769
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 73.778


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022915 0 39 139 96 44 57 50 118 57 27 159 129
2022/20231.206 39 104 43 100 103 91 37 142 371 45 33 98
2023/2024851 103 114 72 54 88 101 105 38 38 42 40 56
2024/20252.277 29 349 220 209 100 91 181 90 218 296 163 331
2025/20266.796 322 309 522 551 389 308 798 523 1.367 679 405 623
2026/2027391 203 188 0 0 0 0 0 0 0 0 0 0
Totale 12.726