Vijay Devabhaktuni
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View article: Omobot: a low-cost mobile robot for autonomous search and fall detection
Omobot: a low-cost mobile robot for autonomous search and fall detection Open
Detecting falls among the elderly and alerting their community responders can save countless lives. We design and develop a low-cost mobile robot that periodically searches the house for the person being monitored and sends an email to a s…
Cross-view geo-localization: a survey Open
Cross-view geo-localization has garnered notable attention in the realm of computer vision, spurred by the widespread availability of copious geotagged datasets and the advancements in machine learning techniques. This paper provides a tho…
Impact of Dataset and Model Parameters on Machine Learning Performance for the Detection of GPS Spoofing Attacks on Unmanned Aerial Vehicles Open
GPS spoofing attacks are a severe threat to unmanned aerial vehicles. These attacks manipulate the true state of the unmanned aerial vehicles, potentially misleading the system without raising alarms. Several techniques, including machine …
View article: Fractal, recurrent, and dense U-Net architectures with EfficientNet encoder for medical image segmentation
Fractal, recurrent, and dense U-Net architectures with EfficientNet encoder for medical image segmentation Open
U-Net is quite an adaptable deep learning framework and can be integrated with other deep learning techniques. The use of recurrent feedback connections, dense convolution, residual skip connections, and fractal convolutional expansions al…
Time- And Frequency-Based Independent Evaluation Of QRST Cancellation Techniques For Single-Lead Electrocardiograms During Atrial Fibrillation Open
With the increased prevalence of atrial fibrillation (AF) - a rhythm disturbance in heart's top chambers - there is growing interest in accurate non-invasive diagnosis of atrial activity to improve its therapy. A key component in non-invas…
Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine Learning Open
In this paper, a machine learning (ML) approach is proposed to detect and classify jamming attacks against orthogonal frequency division multiplexing (OFDM) receivers with applications to unmanned aerial vehicles (UAVs). Using software-def…
A Machine Learning Approach for Detecting and Classifying Jamming Attacks Against OFDM-based UAVs Open
In this paper, a machine learning (ML) approach is proposed to detect and classify jamming attacks on unmanned aerial vehicles (UAVs). Four attack types are implemented using software-defined radio (SDR); namely, barrage, single-tone, succ…
View article: U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications
U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications Open
U-net is an image segmentation technique developed primarily for image segmentation tasks. These traits provide U-net with a high utility within the medical imaging community and have resulted in extensive adoption of U-net as the primary …
A High-Frequency/Power Ratio Wilkinson Power Divider Based on Identical/Non-Identical Multi-T-Sections With Short-Circuited Stubs Open
In this article, a systematic procedure is presented for the design of a dual-band unequal-split Wilkinson power divider (WPD) with high frequency and power division ratios. The design methodology is based on replacing the impractical high…
Novel Human-in-the-Loop (HIL) Simulation Method to Study Synthetic Agents and Standardize Human–Machine Teams (HMT) Open
This work presents a multi-year study conducted at the University of Toledo, aimed at improving human–machine teaming (HMT) methods and technologies. With the advent of artificial intelligence (AI) in 21st-century machines, collaboration b…
IVACS: I ntelligent V oice A ssistant for C oronavirus Disease (COVID-19) S elf-Assessment Open
At the time of writing this paper, the world has around eleven million cases\nof COVID-19, scientifically known as severe acute respiratory syndrome\ncorona-virus 2 (SARS-COV-2). One of the popular critical steps various health\norganizati…
Novel Human-in-the-Loop (HIL) Simulation Method to Study Synthetic Agents and Standardize Human-Machine Teams (HMT) Open
This paper presents a multi-year research study conducted at the University of Toledo, aimed at improving human-machine teaming (HMT) methods and technologies. With the incorporation of artificial intelligence (AI) into 21st-century machin…
A Machine Learning Based Two-Stage Wi-Fi Network Intrusion Detection System Open
The growth of wireless networks has been remarkable in the last few years. One of the main reasons for this growth is the massive use of portable and stand-alone devices with wireless network connectivity. These devices have become essenti…
View article: Substrate Integrated Waveguide Bandpass Filtering With Fourier-Varying Via-Hole Walling
Substrate Integrated Waveguide Bandpass Filtering With Fourier-Varying Via-Hole Walling Open
In this article, an optimization-driven methodology is proposed for the design of substrate integrated waveguide (SIW) bandpass filters (BPFs) with predefined passbands. The width between the metallic walls of via-holes is governed by a tr…
The Block Point Process Model for Continuous-time Event-based Dynamic Networks Open
We consider the problem of analyzing timestamped relational events between a set of entities, such as messages between users of an on-line social network. Such data are often analyzed using static or discrete-time network models, which dis…
A Near Real-Time Automatic Speaker Recognition Architecture for Voice-Based User Interface Open
In this paper, we present a novel pipelined near real-time speaker recognition architecture that enhances the performance of speaker recognition by exploiting the advantages of hybrid feature extraction techniques that contain the features…
Development of Cognitive Training Program With EEG Headset Open
Recent research has shown that cognitive function can be improved with proper practices. To improve cognitive skills, we developed a series of training programs using the Unity 3DTMGame Engine, which connects to an EPOC+ headset from EMOTI…
Study on State-of-the-art Cloud Services Integration Capabilities with Autonomous Ground Vehicles Open
Computing and intelligence are substantial requirements for the accurate\nperformance of autonomous ground vehicles (AGVs). In this context, the use of\ncloud services in addition to onboard computers enhances computing and\nintelligence c…
Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks Open
On-line social networks (OSNs) often contain many different types of relationships between users. When studying the structure of OSNs such as Facebook, two of the most commonly studied networks are friendship and interaction networks. The …
A low-cost solution for unmanned aerial vehicle navigation in a global positioning system–denied environment Open
The ability of an autonomous unmanned aerial vehicle to navigate and fly precisely determines its utility and performance. The current navigation systems are highly dependent on the global positioning system and are prone to error because …
Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks Open
On-line social networks (OSNs) often contain many different types of relationships between users. When studying the structure of OSNs such as Facebook, two of the most commonly studied networks are friendship and interaction networks. The …
Leveraging Friendship Networks for Dynamic Link Prediction in Social\n Interaction Networks Open
On-line social networks (OSNs) often contain many different types of\nrelationships between users. When studying the structure of OSNs such as\nFacebook, two of the most commonly studied networks are friendship and\ninteraction networks. T…
An Upper Bound on PHY-Layer Key Generation for Secure Communications Over a Nakagami-M Fading Channel With Asymmetric Additive Noise Open
The establishment of convenient and reliable cryptographic keys is not always feasible, especially in low-powered wireless devices where a complex key management infrastructure is unaffordable. Physical layer-based key generation approache…
Common Metrics to Benchmark Human-Machine Teams (HMT): A Review Open
A significant amount of work is invested in human-machine teaming (HMT)\nacross multiple fields. Accurately and effectively measuring system performance\nof an HMT is crucial for moving the design of these systems forward. Metrics\nare the…
Evaluating Link Prediction Accuracy in Dynamic Networks with Added and Removed Edges Open
The task of predicting future relationships in a social network, known as link prediction, has been studied extensively in the literature. Many link prediction methods have been proposed, ranging from common neighbors to probabilistic mode…