activity
20162024
most citedA Deep Learning Based DDoS Detection System in Software-Defined Networking (SDN)

186 citations · 487 across the 12 of their papers we have counts for

collaborators

12 papers

cs.HC2024

Integrated Control of Robotic Arm through EMG and Speech: Decision-Driven Multimodal Data Fusion

Tauheed Khan Mohd, Ahmad Y Javaid

Interactions with electronic devices are changing in our daily lives. The day-to-day development brings curiosity to recent technology and challenges its use. The gadgets are becom…

cs.HC2022★ 11 cited

Multi-Modal Data Fusion in Enhancing Human-Machine Interaction for Robotic Applications: A Survey

Tauheed Khan Mohd, Nicole Nguyen, Ahmad Y Javaid

Human-machine interaction has been around for several decades now, with new applications emerging every day. One of the major goals that remain to be achieved is designing an inter…

cs.RO2022★ 4 cited

Multi-modal data fusion of Voice and EMG data for Robotic Control

Tauheed Khan Mohd, Jackson Carvalho, Ahmad Y Javaid

Wearable electronic equipment is constantly evolving and is increasing the integration of humans with technology. Available in various forms, these flexible and bendable devices se…

cs.CV2021★ 1 cited

TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection

Praveen Damacharla, Achuth Rao M. V., Jordan Ringenberg +1

Visual steel surface defect detection is an essential step in steel sheet manufacturing. Several machine learning-based automated visual inspection (AVI) methods have been studied…

cs.CY2020★ 11 cited

IVACS: Intelligent Voice Assistant for Coronavirus Disease (COVID-19) Self-Assessment

Parashar Dhakal, Praveen Damacharla, Ahmad Y. Javaid +2

At the time of writing this paper, the world has around eleven million cases of COVID-19, scientifically known as severe acute respiratory syndrome corona-virus 2 (SARS-COV-2). One…

cs.CY2020★ 23 cited

Effects of Voice-Based Synthetic Assistant on Performance of Emergency Care Provider in Training

Praveen Damacharla, Parashar Dhakal, Sebastian Stumbo +5

As part of a perennial project, our team is actively engaged in developing new synthetic assistant (SA) technologies to assist in training combat medics and medical first responder…

cs.CY2020★ 97 cited

Common Metrics to Benchmark Human-Machine Teams (HMT): A Review

Praveen Damacharla, Ahmad Y. Javaid, Jennie J. Gallimore +1

A significant amount of work is invested in human-machine teaming (HMT) across multiple fields. Accurately and effectively measuring system performance of an HMT is crucial for mov…

cs.CY2020★ 4 cited

Study on State-of-the-art Cloud Services Integration Capabilities with Autonomous Ground Vehicles

Praveen Damacharla, Dhwani Mehta, Ahmad Y Javaid +1

Computing and intelligence are substantial requirements for the accurate performance of autonomous ground vehicles (AGVs). In this context, the use of cloud services in addition to…

cs.RO2019★ 147 cited

Application Specific Drone Simulators: Recent Advances and Challenges

Aakif Mairaj, Asif I. Baba, Ahmad Y. Javaid

Over the past two decades, Unmanned Aerial Vehicles (UAVs), more commonly known as drones, have gained a lot of attention, and are rapidly becoming ubiquitous because of their dive…

cs.CR2018

Cyber-attack Mitigation and Impact Analysis for Low-power IoT Devices

Ashutosh Bandekar, Ahmad Y. Javaid

Recent years have seen exponential development in wireless sensor devices and their rebirth as IoT, as well as increased popularity in wireless home devices such as bulbs, fans, an…

cs.CR2018★ 3 cited

Open Source Android Vulnerability Detection Tools: A Survey

Keyur Kulkarni, Ahmad Y Javaid

Since last decade, smartphones have become an integral part of everyone's life. Having the ability to handle many useful and attractive applications, smartphones sport flawless fun…

cs.NI2016★ 186 cited

A Deep Learning Based DDoS Detection System in Software-Defined Networking (SDN)

Quamar Niyaz, Weiqing Sun, Ahmad Y Javaid

Distributed Denial of Service (DDoS) is one of the most prevalent attacks that an organizational network infrastructure comes across nowadays. We propose a deep learning based mult…