• Advanced Orthogonal Frequency-Division Multiplexing Systems with Cyclic Prefix-Less Multiple-Input and Multiple-Output Discrete Fourier Transform Spreading and Unmanned Aerial Vehicles-Assisted Cyclic Postfixed Windowed Schemes 

  Mamun, Md Mainul Islam (2023)

  In the proper designing of spectrally efficient 5th Generation (5G)/Beyond 5G (B5G) systems, minimization of Peak-to-Average Power Ratio (PAPR) of the time domain Orthogonal Frequency-Division Multiplexing (OFDM)/Cyclic ...

• Exploration of Low SWaP(Size,Weight and Power) Diffuse Optical Tomography and Imaging Technique for Biometrics 

  Dhandu, Tejaswi (2023)

  There have been significant advancements in biometric systems, with a particular focus on Iris, facial, and fingerprint recognition. My research, however, is centered around wrist vein recognition and involves the development ...

• A Study of Detecting Bond Wire Lift-offs and Surface Defect of High Power IGBT Modules Using Acoustics Waves 

  Haque, Tohfa (2023)

  This thesis explores the development of a noninvasive technique that utilizes low- cost piezoelectric resonators for the detection of bond wire lift-off in isolated gate bipolar junction transistor (IGBT) modules. To ...

• Explainable AI framework through Multi-Context Multi-Dimensional Graph Neural Network 

  Yeruva, Vijaya Kumari (2023)

  In this research, we explored the multifaceted realm of digital communication, emphasizing social media channels such as Twitter and Reddit, complemented by conventional data-gathering techniques like focus group discussions ...

• Function Implementation in a Multi-Gate Junctionless FET Structure 

  Hossain, Sehtab (2023)

  This dissertation explores designing and implementing a multi-gate junctionless field-effect transistor (JLFET) structure and its potential applications beyond conventional devices. The JLFET is a promising alternative to ...

• A Multimodal Text-To-MIDI Transformer Model with Special Consideration To Artist Usage 

  Miles, Samuel Alan (2023)

  Generative AI systems are of great interest in the field of automated music production. Current well-known state-of-the-art music generation systems such as MusicLM, while incredibly versatile and tractable, do not allow ...

• Effective Surface Areas and Adsorption Capacity of Graphene with Vacancies 

  Lee, Jonathan (2023)

  Graphene has been heavily researched since Geim and Novosolov won the nobel prize in physics for its mechanical exfoliation from graphite. The atomically thin crystal of carbon atoms has been reported to have novel properties ...

• Improving prediction of opioid use disorder with machine learning algorithms 

  Razzazi, Sahar (2023)

  Opioid Use Disorder (OUD) refers to a concerning pattern of opioid use that results in considerable impairment or distress. It is a chronic and treatable condition that can impact individuals irrespective of their race, ...

• Security Management of Smart Home Internet-Of-Things: A Framework, Finite-State Attack Modeling, And Worst Attack Vulnerability Analysis 

  James, Fathima (2023)

  Smart Home Internet of Things (SHIoT) provides a rich compendium of innovative, ubiquitous, and interactive services to users using a variety of smart sensors, devices and applications. However, owing to the strongly ...

• A Novel Deep Learning-Based Framework for Context Aware Semantic Segmentation in Medical Imaging 

  Khan, Muhammad Zubair (2023)

  Deep learning has an enormous impact on medical image analysis. Many computer-aided diagnostic systems equipped with deep networks are rapidly reducing human intervention in healthcare. Among several applications, medical ...

• Dynamic Activity Predictions using Graph-based Neural Networks for Time Series Forecasting 

  Chennoju, Bhuvan Kumar (2023)

  Time series forecasting is a vital task in numerous fields, and traditional methods, machine learning models, and neural graph networks have been employed to improve prediction accuracy. However, these techniques need ...

• Machine Learning Ensembles for Grid Congestion Price Forecasting 

  Javed, Asim (2023)

  In this thesis, we embarked on a comprehensive study to develop a cutting-edge model for forecasting real-time electricity prices across 35 nodes within the PJM zone. The task at hand was particularly challenging, given ...

• Machine Learning based Predictive Modeling of Stochastic Systems 

  Gajendran, Mohan Kumar (2023)

  Complex signals are ubiquitous in our daily lives, and interpreting and modeling them is vital for scientific advancement. Traditional methods for predictive modeling of complex signals include statistical signal processing ...

• Multimedia Big Data Analytics and Fusion for Data Science 

  Wang, Tianyi (2023)

  Big data is becoming increasingly prevalent in people's everyday lives due to the enormous quantity of data generated from social and economic activities worldwide. As a result, extensive research has been undertaken to ...

• Adaptive Data-driven Optimization using Transfer Learning for Resilient, Energy-efficient, Resource-aware, and Secure Network Slicing in 5G-Advanced and 6G Wireless Systems 

  Thantharate, Anurag (2022)

  5G–Advanced is the next step in the evolution of the fifth–generation (5G) technology. It will introduce a new level of expanded capabilities beyond connections and enables a broader range of advanced applications and use ...

• Optimization of Handover, Survivability, Multi-Connectivity and Secure Slicing in 5G Cellular Networks using Matrix Exponential Models and Machine Learning 

  Paropkari, Rahul Arun (2022)

  This works proposes optimization of cellular handovers, cellular network survivability modeling, multi-connectivity and secure network slicing using matrix exponentials and machine learning techniques. We propose matrix ...

• Human Factors in Smart and Connected Communities 

  Zaman, Rafida (2022)

  The vision of Smart Connected Community (SCC) is to integrate technology to improve economy, safety, education, health and provide equity in the society. Human factor plays a vital role in the SCC in human societal, ...

• Constant Time Sorting and Searching 

  Kunapuli, Sai Swathi (2022)

  To study the sorting of real numbers into a linked list on Parallel Random Access Machine model. To show that input array of n real numbers can be sorted into a linked list in constant time using n²/logᶜn processors for ...

• P2P Based Personalized Federated Learning for Collaborative Model Sharing and Inferencing 

  Thakur, Sriram Kumar Singh (2022)

  Existing Federated Learning (FL) relies primarily on client-server architecture to train a single global model utilizing various local datasets. There are ongoing initiatives to improve the present state of federated ...

• Decision Support System for Pull Requests Review Using Path-based Network Portrait Divergence and Visualization 

  Shaikh, Vasim (2022)

  Pull requests are widely used in open-source and industrial environments to contribute and assess contributions. Unlike the typical code review process, pull requests provide a more lightweight approach for committing, ...

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