Analog-to-Digital Converters (ADCs) are essential components bridging analog inputs with digital processing systems. Among various architectures, Successive Approximation Register (SAR) ADCs are known for their power and ...
This thesis work focuses on advancements in neural style transfer, a process that enables the blending of content and style features to generate stylized images. It explores feature extraction using two encoders: a VGG19-based ...
This thesis investigates a comprehensive sustainability assessment framework for operational transconductance amplifiers (OTAs) by extending the traditional power, performance, and area (PPA) metrics to include environmental ...
This thesis introduces a novel framework for language translation, transitioning from conventional text-based mapping to a phoneme-level modeling approach. By employing articulatory phoneme representations and sparse binary ...
As our dependency on technology increases, the use of electronic devices also rises, leading to a greater environmental impact that must be monitored. In today’s world, where data security is critical, especially in IoT ...
In this advancing era of technology and innovation, semiconductor development has exploded, enabling researchers to develop cutting-edge, ultra-low-power, and high-speed integrated circuits. However, this scaling progress ...
Recent advancements in the semiconductor industry have paved the way for a broader use of semiconductor chips in various areas such as computing, data processing, and communication. Adders, which are the smallest and most ...
As environmental concerns rise, the industry faces pressure to reduce energy consumption. Research has been going on to design energy-efficient designs, particularly in low-power, high-performance applications. Flip-flops ...
This work presents a comprehensive study on the design, implementation, and sustainability assessment of a modified version of a Dickson charge pump circuit. The circuit is implemented to operate at 1.2 V and achieves an ...
In order to efficiently learn from small amount of labeled data, this study presents pseudo- labeling using semi-supervised learning in a federated setting (Pseudo-FedSSL), a novel approach to semi-supervised federated ...
Federated learning (FL) is a privacy-preserving machine learning approach that enables the training of models across multiple decentralized edge devices without exchanging raw data. However, local models trained only on ...
With the scaling of semiconductor technology nodes, the impact of process-induced variations has increased. Statistical static timing analysis accounts for global and local variations in the timing analysis. The present ...
Out-of-Distribution (OoD) detection has emerged as a crucial aspect in machine learning, essential for ensuring the resilience and reliability of models deployed in real-world scenarios. Traditional methods excel at ...
Embedded memories occupy up to 70% of the area and account for 30-50% power consumption in advanced digital SoCs. A large part of this power is leakage power. Therefore, high-density, low-leakage SRAM cells are desirable. ...
Gupta, Sagar; Subramanyam, A V (Advisor)(IIIT-Delhi, 2020-07-01)
Unsupervised Person Re-Identi cation (Re-ID) su ers severely from the gap in the modality. Many factors pose a challenge to the task, including occlusions, lightning conditions, pose changes, among several others. Various ...
The reproducibility of experiments has been a long-standing obstruction for farther scientific evolution. Computational methods are being involved to accelerate and to economize drug discovery and the development process. ...
Visual wildlife monitoring of animals requires detection for species-level categorization and re-identification (Re-ID) for population estimation of an individual species. Traditionally, the monitoring is done via GPS ...
Khan, Zuber; Prasad, Ranjitha (Advisor)(IIIT-Delhi, 2022-12)
Optimal treatment selection is extremely crucial in emergency situations such as for a patient admitted in ICU. However, the chosen medical treatment may not necessarily be a financially favorable choice. In some of the ...