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ORCIDMuhammad Intizar Ali
Person information
- affiliation: National University of Ireland, Galway
- affiliation (former): Vienna University of Techhnology, Austria
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Journal Articles
- 2024
[j25]Muhammad Yahya
, Abdul Wahid, Lan Yang, John G. Breslin, Evgeny Kharlamov, Muhammad Intizar Ali:
Link Prediction in Industrial Knowledge Graphs: A Case Study on Football Manufacturing. IEEE Access 12: 89804-89817 (2024)- [j24]Abdul Wahid, John G. Breslin, Muhammad Intizar Ali:
TCRSCANet: Harnessing Temporal Convolutions and Recurrent Skip Component for Enhanced RUL Estimation in Mechanical Systems. Hum. Centric Intell. Syst. 4(1): 1-24 (2024) - [j23]Muhammad Yahya, Aabid Ali, Qaiser Mehmood, Lan Yang, John G. Breslin, Muhammad Intizar Ali:
A benchmark dataset with Knowledge Graph generation for Industry 4.0 production lines. Semantic Web 15(2): 461-479 (2024) - [j22]Jefkine Kafunah, Muhammad Intizar Ali, John G. Breslin:
Uncertainty-Aware Ensemble Combination Method for Quality Monitoring Fault Diagnosis in Safety-Related Products. IEEE Trans. Ind. Informatics 20(2): 1975-1986 (2024) - 2023
- [j21]Muhammad Yahya, Baifan Zhou, John G. Breslin, Muhammad Intizar Ali, Evgeny Kharlamov:
Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry. IEEE Access 11: 37360-37377 (2023) - [j20]Jefkine Kafunah, Priyanka Verma, Muhammad Intizar Ali, John G. Breslin:
Out-of-Distribution Data Generation for Fault Detection and Diagnosis in Industrial Systems. IEEE Access 11: 135061-135073 (2023) - [j19]Jiang Zhou, Ciprian Briciu-Burghina, Fiona Regan, Muhammad Intizar Ali:
A Data-Driven Approach for Building the Profile of Water Storage Capacity of Soils. Sensors 23(12): 5599 (2023) - 2022
- [j18]Bharath Sudharsan, John G. Breslin, Mehreen Tahir, Muhammad Intizar Ali, Omer F. Rana, Schahram Dustdar, Rajiv Ranjan:
OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices. IEEE Internet Comput. 26(3): 69-78 (2022) - [j17]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
ML-MCU: A Framework to Train ML Classifiers on MCU-Based IoT Edge Devices. IEEE Internet Things J. 9(16): 15007-15017 (2022) - [j16]Ciprian Briciu-Burghina, Jiang Zhou, Muhammad Intizar Ali, Fiona Regan:
Demonstrating the Potential of a Low-Cost Soil Moisture Sensor Network. Sensors 22(3): 987 (2022) - 2021
- [j15]Muhammad Intizar Ali, Pankesh Patel, John G. Breslin, Ramy F. Harik, Amit P. Sheth:
Cognitive Digital Twins for Smart Manufacturing. IEEE Intell. Syst. 36(2): 96-100 (2021) - [j14]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali, Karan Mitra, Schahram Dustdar, Omer F. Rana, Prem Prakash Jayaraman, Rajiv Ranjan:
Toward Distributed, Global, Deep Learning Using IoT Devices. IEEE Internet Comput. 25(3): 6-12 (2021) - [j13]Radhya Sahal, Saeed H. Alsamhi, John G. Breslin, Muhammad Intizar Ali:
Industry 4.0 towards Forestry 4.0: Fire Detection Use Case. Sensors 21(3): 694 (2021) - 2020
- [j12]Dhavalkumar Thakker, Pankesh Patel, Muhammad Intizar Ali, Tejal Shah:
Semantic Web of Things for Industry 4.0. Semantic Web 11(6): 885-886 (2020) - 2019
- [j11]Sefki Kolozali, María Bermúdez-Edo, Nazli FarajiDavar, Payam M. Barnaghi, Feng Gao, Muhammad Intizar Ali, Alessandra Mileo, Marten Fischer, Thorben Iggena, Daniel Kuemper, Ralf Tönjes:
Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams. IEEE Internet Things J. 6(2): 2651-2668 (2019) - [j10]Zia Ush-Shamszaman, Muhammad Intizar Ali:
Enabling cognitive contributory societies using SIoT: : QoS aware real-time virtual object management. J. Parallel Distributed Comput. 123: 61-68 (2019) - [j9]Thu-Le Pham, Muhammad Intizar Ali, Alessandra Mileo:
Enhancing the scalability of expressive stream reasoning via input-driven parallelization. Semantic Web 10(3): 457-474 (2019) - 2018
- [j8]Pankesh Patel, Muhammad Intizar Ali, Amit P. Sheth:
From Raw Data to Smart Manufacturing: AI and Semantic Web of Things for Industry 4.0. IEEE Intell. Syst. 33(4): 79-86 (2018) - [j7]Zia Ush-Shamszaman, Muhammad Intizar Ali:
Toward a Smart Society Through Semantic Virtual-Object Enabled Real-Time Management Framework in the Social Internet of Things. IEEE Internet Things J. 5(4): 2572-2579 (2018) - 2017
- [j6]Pankesh Patel, Muhammad Intizar Ali, Amit P. Sheth:
On Using the Intelligent Edge for IoT Analytics. IEEE Intell. Syst. 32(5): 64-69 (2017) - [j5]Feng Gao, Muhammad Intizar Ali, Edward Curry, Alessandra Mileo:
Automated discovery and integration of semantic urban data streams: The ACEIS middleware. Future Gener. Comput. Syst. 76: 561-581 (2017) - [j4]Muhammad Intizar Ali, Pankesh Patel, Soumya Kanti Datta, Amelie Gyrard:
Multi-Layer Cross Domain Reasoning over Distributed Autonomous IoT Applications. Open J. Internet Things 3(1): 75-90 (2017) - [j3]Muhammad Intizar Ali, Naomi Ono, Mahedi Kaysar, Zia Ush-Shamszaman, Thu-Le Pham, Feng Gao, Keith Griffin, Alessandra Mileo:
Real-time data analytics and event detection for IoT-enabled communication systems. J. Web Semant. 42: 19-37 (2017) - 2016
- [j2]Dan Puiu, Payam M. Barnaghi, Ralf Toenjes, Daniel Kuemper, Muhammad Intizar Ali, Alessandra Mileo, Josiane Xavier Parreira, Marten Fischer, Sefki Kolozali, Nazli FarajiDavar, Feng Gao, Thorben Iggena, Thu-Le Pham, Cosmin-Septimiu Nechifor, Daniel Puschmann, João Fernandes:
CityPulse: Large Scale Data Analytics Framework for Smart Cities. IEEE Access 4: 1086-1108 (2016) - [j1]Feng Gao, Muhammad Intizar Ali, Edward Curry, Alessandra Mileo:
QoS-Aware Stream Federation and Optimization Based on Service Composition. Int. J. Semantic Web Inf. Syst. 12(4): 43-67 (2016)
Conference and Workshop Papers
- 2024
- [c70]Mehreen Tahir, Muhammad Intizar Ali:
Multi-Criterion Client Selection for Efficient Federated Learning. AAAI Spring Symposia 2024: 318-322 - [c69]Alexander Okhuese Victor, Muhammad Intizar Ali:
Enhancing Time Series Data Predictions: A Survey of Augmentation Techniques and Model Performances. ACSW 2024: 1-13 - 2023
- [c68]Mehreen Tahir, Muhammad Intizar Ali:
Enabling On-Demand Crowdsourced Federated Learning Over IoT. FMEC 2023: 128-134 - [c67]Ihsan Ullah, Umair ul Hassan, Muhammad Intizar Ali:
Multi-level Federated Learning for Industry 4.0 - A Crowdsourcing Approach. ISM 2023: 423-435 - [c66]Abdul Wahid, Muhammad Yahya, John G. Breslin, Muhammad Intizar Ali:
Self-Attention Transformer-Based Architecture for Remaining Useful Life Estimation of Complex Machines. ISM 2023: 456-464 - 2022
- [c65]Muhammad Yahya, Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, John G. Breslin, Muhammad Intizar Ali, Evgeny Kharlamov:
Towards Generalized Welding Ontology in Line with ISO and Knowledge Graph Construction. ESWC (Satellite Events) 2022: 83-88 - [c64]Bharath Sudharsan, Panchakarla S. Rahul, Piyush Yadav, Suneet Kumar Gupta, Vimal Kumar, Duc-Duy Nguyen, Muhammad Intizar Ali, John G. Breslin:
RIS-IoT: Towards Resilient, Interoperable, Scalable IoT. ICCPS 2022: 296-297 - [c63]Dhruv Sheth, Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Poster Abstract: Embedded ML Pipeline for Precision Agriculture. IPSN 2022: 527-528 - [c62]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali, Peter Corcoran, Rajiv Ranjan:
ElastiQuant: elastic quantization strategy for communication efficient distributed machine learning in IoT. SAC 2022: 246-254 - 2021
- [c61]Bharath Sudharsan, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali:
An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware. SCC 2021: 319-328 - [c60]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Imbal-OL: Online Machine Learning from Imbalanced Data Streams in Real-world IoT. IEEE BigData 2021: 4974-4978 - [c59]Vatsal Patel, Sarth Kanani, Tapan Pathak, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
An Intelligent Doorbell Design Using Federated Deep Learning. COMAD/CODS 2021: 380-384 - [c58]Parit Mehta, Rudresh Dwivedi, Ciaran Feeney, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
Towards Designing an Explainable-AI based Solution for Livestock Mart Industry. COMAD/CODS 2021: 421 - [c57]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
SRAM optimized porting and execution of machine learning classifiers on MCU-based IoT devices: demo abstract. ICCPS 2021: 223-224 - [c56]Bharath Sudharsan, Pankesh Patel, Abdul Wahid, Muhammad Yahya, John G. Breslin, Muhammad Intizar Ali:
Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT: Demo Abstract. IoTDI 2021: 265-266 - [c55]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
Ultra-fast Machine Learning Classifier Execution on IoT Devices without SRAM Consumption. PerCom Workshops 2021: 316-319 - [c54]Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices. PerCom Workshops 2021: 680-685 - [c53]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach. ECML/PKDD (5) 2021: 20-35 - [c52]Bharath Sudharsan, Dhruv Sheth, Shailesh Arya, Federica Rollo, Piyush Yadav, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
ElastiCL: Elastic Quantization for Communication Efficient Collaborative Learning in IoT. SenSys 2021: 382-383 - [c51]Bharath Sudharsan, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali:
Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 97-106 - [c50]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Globe2Train: A Framework for Distributed ML Model Training using IoT Devices Across the Globe. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 107-114 - [c49]Bharath Sudharsan, Sweta Malik, Peter Corcoran, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
OWSNet: Towards Real-time Offensive Words Spotting Network for Consumer IoT Devices. WF-IoT 2021: 83-88 - [c48]Bharath Sudharsan, Simone Salerno, Duc-Duy Nguyen, Muhammad Yahya, Abdul Wahid, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali:
TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers. WF-IoT 2021: 883-884 - 2020
- [c47]Vignesh Kamath, Jeff Morgan, Muhammad Intizar Ali:
Industrial IoT and Digital Twins for a Smart Factory : An open source toolkit for application design and benchmarking. GIoTS 2020: 1-6 - [c46]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices. IOT 2020: 5:1-5:8 - [c45]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices. IOT 2020: 6:1-6:8 - [c44]Bharath Sudharsan, Dineshkumar Sundaram, John G. Breslin, Muhammad Intizar Ali:
Avoid Touching Your Face: A Hand-to-face 3D Motion Dataset (COVID-away) and Trained Models for Smartwatches. IOT Companion 2020: 7:1-7:9 - [c43]Bhavin Joshi, Tapan Pathak, Vatsal Patel, Sarth Kanani, Pankesh Patel, Muhammad Intizar Ali:
A Cloud-based Smart Doorbell using Low-Cost COTS Devices. IOT Companion 2020: 17:1-17:4 - [c42]Tapan Pathak, Vatsal Patel, Sarth Kanani, Shailesh Arya, Pankesh Patel, Muhammad Intizar Ali:
A distributed framework to orchestrate video analytics across edge and cloud: a use case of smart doorbell. IOT 2020: 23:1-23:8 - [c41]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Adaptive Strategy to Improve the Quality of Communication for IoT Edge Devices. WF-IoT 2020: 1-6 - 2019
- [c40]Abdul Wahid, Muhammad Intizar Ali:
Deconvolutional Pixel Layer Model for Road segmentation without Human Assistance. AICS 2019: 88-94 - [c39]Bharath Sudharsan, Peter Corcoran, Muhammad Intizar Ali:
Smart Speaker Design and Implementation with Biometric Authentication and Advanced Voice Interaction Capability. AICS 2019: 305-316 - [c38]Muhammad Intizar Ali, Pankesh Patel, John G. Breslin:
Middleware for Real-Time Event Detection andPredictive Analytics in Smart Manufacturing. DCOSS 2019: 370-376 - [c37]Radhya Sahal, John G. Breslin, Muhammad Intizar Ali:
On Evaluating the Impact of Changes in IoT Data Streams Rate over Query Window Configurations. DEBS 2019: 262-263 - [c36]Duc-Duy Nguyen, Muhammad Intizar Ali:
Enabling On-Demand Decentralized IoT Collectability Marketplace using Blockchain and Crowdsensing. GIoTS 2019: 1-6 - [c35]Thu-Le Pham, Muhammad Intizar Ali, Alessandra Mileo:
C-ASP: Continuous ASP-Based Reasoning over RDF Streams. LPNMR 2019: 45-50 - [c34]Muhammad Intizar Ali, Qaiser Mehmood, Muhammad Saleem:
Assessing, Monitoring and Analyzing Linked Data Quality in Public SPARQL Endpoints. QuWeDa@ISWC 2019: 37-50 - 2018
- [c33]Duc-Duy Nguyen, Chan Le Van, Muhammad Intizar Ali:
Vessel Destination and Arrival Time Prediction with Sequence-to-Sequence Models over Spatial Grid. DEBS 2018: 217-220 - [c32]Duc-Duy Nguyen, Chan Le Van, Muhammad Intizar Ali:
Vessel Trajectory Prediction using Sequence-to-Sequence Models over Spatial Grid. DEBS 2018: 258-261 - [c31]Riccardo Tommasini, Yehia Abo Sedira, Daniele Dell'Aglio, Marco Balduini, Muhammad Intizar Ali, Danh Le Phuoc, Emanuele Della Valle, Jean-Paul Calbimonte:
VoCaLS: Describing Streams on the Web. ISWC (P&D/Industry/BlueSky) 2018 - [c30]Riccardo Tommasini, Yehia Abo Sedira, Daniele Dell'Aglio, Marco Balduini, Muhammad Intizar Ali, Danh Le Phuoc, Emanuele Della Valle, Jean-Paul Calbimonte:
VoCaLS: Vocabulary and Catalog of Linked Streams. ISWC (2) 2018: 256-272 - 2017
- [c29]Chan Le Van, Feng Gao, Muhammad Intizar Ali:
Optimizing the Performance of Concurrent RDF Stream Processing Queries. ESWC (1) 2017: 238-253 - [c28]Thu-Le Pham, Alessandra Mileo, Muhammad Intizar Ali:
Towards Scalable Non-Monotonic Stream Reasoning via Input Dependency Analysis. ICDE 2017: 1553-1558 - [c27]Thu-Le Pham, Stefano Germano, Alessandra Mileo, Daniel Kümper, Muhammad Intizar Ali:
Automatic configuration of smart city applications for user-centric decision support. ICIN 2017: 360-365 - [c26]Andreas Kamilaris, Andreas Pitsillides, Francesc X. Prenafeta-Boldu, Muhammad Intizar Ali:
A Web of Things based eco-system for urban computing - towards smarter cities. ICT 2017: 1-7 - [c25]Zia Ush-Shamszaman, Muhammad Intizar Ali:
On the Need for Applications Aware Adaptive Middleware in Real-Time RDF Data Analysis (Short Paper). OTM Conferences (2) 2017: 189-197 - [c24]Daniele Dell'Aglio, Danh Le Phuoc, Anh Lê Tuán, Muhammad Intizar Ali, Jean-Paul Calbimonte:
On a Web of Data Streams. DeSemWeb@ISWC 2017 - [c23]Pankesh Patel, Amelie Gyrard, Soumya Kanti Datta, Muhammad Intizar Ali:
SWoTSuite: A Toolkit for Prototyping End-to-End Semantic Web of Things Applications. WWW (Companion Volume) 2017: 263-267 - [c22]Amelie Gyrard, Pankesh Patel, Soumya Kanti Datta, Muhammad Intizar Ali:
Semantic Web Meets Internet of Things and Web of Things: [2nd Edition]. WWW (Companion Volume) 2017: 917-920 - [c21]Amelie Gyrard, Martin Serrano, Joao Bosco Jares, Soumya Kanti Datta, Muhammad Intizar Ali:
Sensor-based Linked Open Rules (S-LOR): An Automated Rule Discovery Approach for IoT Applications and its use in Smart Cities. WWW (Companion Volume) 2017: 1153-1159 - 2016
- [c20]Feng Gao, Muhammad Intizar Ali, Edward Curry, Alessandra Mileo:
QoS-aware adaptation for complex event service. SAC 2016: 1597-1604 - [c19]Andreas Kamilaris, Semih Yumusak, Muhammad Intizar Ali:
WOTS2E: A search engine for a Semantic Web of Things. WF-IoT 2016: 436-441 - [c18]Andreas Kamilaris, Feng Gao, Francesc X. Prenafeta-Boldu, Muhammad Intizar Ali:
Agri-IoT: A semantic framework for Internet of Things-enabled smart farming applications. WF-IoT 2016: 442-447 - [c17]Andreas Kamilaris, Muhammad Intizar Ali:
Do "Web of Things platforms" truly follow the Web of Things? WF-IoT 2016: 496-501 - 2015
- [c16]Muhammad Intizar Ali, Naomi Ono, Mahedi Kaysar, Keith Griffin, Alessandra Mileo:
A Semantic Processing Framework for IoT-Enabled Communication Systems. ISWC (2) 2015: 241-258 - [c15]Muhammad Saleem, Muhammad Intizar Ali, Aidan Hogan, Qaiser Mehmood, Axel-Cyrille Ngonga Ngomo:
LSQ: The Linked SPARQL Queries Dataset. ISWC (2) 2015: 261-269 - [c14]Muhammad Intizar Ali, Feng Gao, Alessandra Mileo:
CityBench: A Configurable Benchmark to Evaluate RSP Engines Using Smart City Datasets. ISWC (2) 2015: 374-389 - [c13]Muhammad Saleem, Muhammad Intizar Ali, Aidan Hogan, Qaiser Mehmood, Axel-Cyrille Ngonga Ngomo:
The LSQ Dataset: Querying for Queries. ISWC (Posters & Demos) 2015 - 2014
- [c12]Feng Gao, Edward Curry, Muhammad Intizar Ali, Sami Bhiri, Alessandra Mileo:
QoS-Aware Complex Event Service Composition and Optimization Using Genetic Algorithms. ICSOC 2014: 386-393 - [c11]Muhammad Intizar Ali, Alessandra Mileo:
How Good Is Your SPARQL Endpoint? - A QoS-Aware SPARQL Endpoint Monitoring and Data Source Selection Mechanism for Federated SPARQL Queries. OTM Conferences 2014: 491-508 - [c10]Feng Gao, Muhammad Intizar Ali, Alessandra Mileo:
Semantic Discovery and Integration of Urban Data Streams. S4SC@ISWC 2014: 15-30 - 2013
- [c9]Muhammad Intizar Ali, Nuno Lopes, Owen Friel, Alessandra Mileo:
Update Semantics for Interoperability among XML, RDF and RDB - A Case Study of Semantic Presence in CISCO's Unified Presence Systems. APWeb 2013: 43-50 - [c8]Syed Zeeshan Haider Gillani, Muhammad Intizar Ali, Alessandra Mileo:
XSPARQL-Viz: A Mashup-Based Visual Query Editor for XSPARQL. ESWC (Satellite Events) 2013: 219-224 - [c7]Qaiser Mehmood, Muhammad Intizar Ali, Ollie Fagan, Owen Friel, Alessandra Mileo:
Semantically Interlinked Notification System for Ubiquitous Presence Management. OTM Conferences 2013: 588-605 - 2012
- [c6]Muhammad Intizar Ali:
Optimizing Data Integration Queries over Web Data Sources (OPTIQ). ICEIS (1) 2012: 163-168 - 2011
- [c5]Muhammad Intizar Ali, Reinhard Pichler, Hong Linh Truong, Schahram Dustdar:
On Integrating Data Services Using Data Mashups. BNCOD 2011: 132-135 - [c4]Muhammad Intizar Ali, Reinhard Pichler, Hong Linh Truong, Schahram Dustdar:
Data Concern Aware Querying for the Integration of Data Services. ICEIS (1) 2011: 111-119 - [c3]Muhammad Intizar Ali, Reinhard Pichler, Hong Linh Truong, Schahram Dustdar:
Incorporating Data Concerns into Query Languages for Data Services. ICEIS 2011: 132-145 - 2009
- [c2]Muhammad Intizar Ali, Reinhard Pichler, Hong Linh Truong, Schahram Dustdar:
DeXIN: An Extensible Framework for Distributed XQuery over Heterogeneous Data Sources . ICEIS 2009: 172-183 - [c1]Muhammad Intizar Ali, Reinhard Pichler, Hong Linh Truong, Schahram Dustdar:
On Using Distributed Extended XQuery for Web Data Sources as Services. ICWE 2009: 497-500
Parts in Books or Collections
- 2020
- [p1]Pankesh Patel, Muhammad Intizar Ali:
Developing Real-Time Smart Industrial Analytics for Industry 4.0 Applications. Smart Service Management 2020: 193-215
Informal and Other Publications
- 2022
- [i5]Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali, Schahram Dustdar, Albert Y. Zomaya, Rajiv Ranjan:
Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware. CoRR abs/2204.10183 (2022) - [i4]Bharath Sudharsan, Peter Corcoran, Muhammad Intizar Ali:
Smart speaker design and implementation with biometric authentication and advanced voice interaction capability. CoRR abs/2207.10811 (2022) - 2020
- [i3]Tapan Pathak, Vatsal Patel, Sarth Kanani, Shailesh Arya, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
A Distributed Framework to Orchestrate Video Analytics Applications. CoRR abs/2009.09065 (2020) - [i2]Bhavin Joshi, Tapan Pathak, Vatsal Patel, Sarth Kanani, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
Demonstration of a Cloud-based Software Framework for Video Analytics Application using Low-Cost IoT Devices. CoRR abs/2010.07680 (2020) - [i1]Vatsal Patel, Sarth Kanani, Tapan Pathak, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
A Demonstration of Smart Doorbell Design Using Federated Deep Learning. CoRR abs/2010.09687 (2020)
Coauthor Index
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