Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 1-20 of 1340
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Character Recognition Using Optical Correlation
A study of effect of rotation and lateral displacement on the correlation outputs when two characters are correlated optically (Taking numerals as characters) has been carried out. Thus, the feasibility of optical correlation ... -
Dynamic Channel Allocation for integrated Voice Data Communication A Tdm Approach
Integrated Services Digital Network (ISDN) is an extension of conventional telecommunications and the data trafics like text, facsimile, image. Efficient transmission of voice/data on a common communication channel has ... -
Millimeter Wave Beam Selection in Time-varying Channels with Orientation Changes and Lateral Mobility
Beamforming enables millimeter-wave (mmWave) communications to achieve high data rates in 5G and beyond systems. This requires the use of many narrow directional beams at both the transmitter and receiver to overcome the ... -
Multi-timescale and Multi-agent Reinforcement Learning Algorithms
This thesis presents six novel works involving several research domains, such as reinforcement learning (RL)– both with or without function approximators including deep neural networks, multi-agent RL, stochastic optimization, ... -
CHARGE: Accelerating GNN Training via CPU Sampling in Heterogeneous CPU–GPU Environment
Graph Neural Networks (GNNs) have demonstrated exceptional performance across a wide range of applications, driving their widespread adoption. Current frameworks employ CPU and GPU resources—either in isolation or ... -
Developmental Studies on Polymeric Nano/Micro Composite Insulation for Various High Voltage Power Applications
The demand for electrical power is increasing day by day necessitating a higher voltage level for power transmission. Also the use of cast resin type dry transformers of compact size for use in confined areas and in certain ... -
Design and Performance Optimization of Power Converters for Energy Storage Systems
Energy shortages and power outages are key concerns today, exacerbated by rising energy demands and the global imperative for clean energy and decarbonization. Energy storage systems (ESS) traditionally address both long-term ... -
Going Beyond Pairwise Relationships: Representation Learning on Simplicial Complexes
Relational data appear naturally in many real-world applications and can be modeled using mathematical structures known as graphs. Graphs model entities as nodes and their pairwise relations or interactions as edges. For ... -
Modeling, Analysis and Control of Switched Reluctance Generator
Switched reluctance machines (SRM) are permanent magnet-free and have a simple rotor with no current-carrying conductors. SRM can be operated as a generator and driven by renewable energy resources such as wind, solar-thermal, ... -
Class Incremental Learning Across Diverse Data Paradigms
Class Incremental Learning (CIL) is a fundamental machine learning paradigm that enables models to continuously learn new classes over time, while retaining previously acquired knowledge. Despite significant progress, ... -
ML based Intrusion Detection System for IEC 61850 MMS
Cyberattacks targeting operational technology (OT) systems, such as power grids, have evolved into highly sophisticated threats. In the last two decades state-sponsored adversaries have increasingly weaponized ... -
On Orbits and Border of Constant Read Circuits and Lower Bounds for Constant Depth Circuits
Two of the most common ways in which arithmetic circuits can be restricted is by requiring that they be constant read or constant depth. Constant depth circuits have received a lot of attention in the arithmetic circuit ... -
Enhancing THC/NOX removal efficiency in diesel exhaust through catalyzing industrial wastes in the presence of electric discharge plasma
The consistent rise in air quality index in various cities has risen a worldwide concern toward the critical situation of air pollution and climate change. Despite the implementation of stringent regulations, the usage of ... -
Streaming Codes for Low-Latency Communication over Various Sliding-Window Channel Models
Streaming codes are packet-level codes that recover dropped (i.e., erased) packets within a decoding-delay deadline. A common model for packet erasures over a network is the Markov, two-state Gilbert-Elliott (GE) channel ... -
Self-Supervised Learning Approaches for Content-Factor Extraction from Raw Speech
The rapid expansion of digital data has led to a growing interest in self-supervised learning (SSL) techniques, particularly for speech processing tasks where labeled data is often scarce. SSL enables models to learn ... -
Design of AI-based Computational Framework for Accurate Detection of Polycystic Ovarian Disease and Ovarian Cancer Using Ultrasound, CT and Histopathology Images
Polycystic Ovarian Disease (PCOD) and Ovarian Cancer (OC) represent critical health challenges affecting millions of women globally. Early and accurate detection of these conditions is essential for effective clinical ... -
Enhancing Blockchain Security and Efficiency: Solutions for Micropayments, Payment Channels, and IoT Applications
Blockchain technology has emerged as a transformative force, revolutionizing industries by enabling decentralized, transparent, and secure systems. However, despite its promise, blockchain faces critical challenges related ... -
Sampling, Recovery, and Learning Methods for Graphs and Simplicial Complexes
Many datasets are often supported by irregular non-Euclidean domains. Graph signal processing (GSP) and topological signal processing (TSP) enables effective processing of such data by modeling interactions among data ... -
Remedies for Different Impairments in Orthogonal Time Frequency Space Systems
Embargo up to 15/7/2026 Orthogonal time frequency space (OTFS) has emerged as a promising multiplexing tech nique for future wireless communications. In OTFS-based systems, the information symbols are represented in a ... -
Sparse Input Novel View Synthesis of Dynamic Scenes
Novel view synthesis involves generating unseen perspectives of a scene based on videos captured from limited viewpoints. It is an interesting problem in computer graphics and computer vision, with many applications such ...