Browsing by Title

Sort by: Order: Results:

  • Applications of open transit data 
    Srivastava, Kshitij; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2020-06)
    The concept of open data has become quite popular in recent times among governments and public-facing organizations promoting transparency and collaboration. In a similar expedition, the Open Transit Data Platform for Delhi ...
  • Approximate computing as a means of fault tolerance in mWNoCs 
    Joshua, Massa; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-10-29)
    In the realm of chiplet-based computing, the advent of Network-on-Chip (NoC) technology has brought forth remarkable opportunities to harness the potential of on-chip wireless communication. This report embarks on a ...
  • Approximate description logic reasoning 
    Yadav, Raj Kamal; Mutharaju, Vijaya Raghava (Advisor); Bhatia, Sumit (Advisor) (IIIT-Delhi, 2015-11-15)
    Approximate Reasoning involves compromising the soundness or the completeness of reasoning over description logic ontologies in favor of significant speed up in the run time. The efficiency of approximate Reasoning can ...
  • ARM cortex-M3 based SoC design for drones 
    Viyaash, V.; Aggarwal, Shivanshu; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    This project report investigates the development of a drone control system using ARM Cortex-M3 based System on Chip (SoC) and the need for indigenously designed SoCs. The objective was to interface the Cortex M3 processor, ...
  • Artificial intelligence based models for predicting head and neck cancer from genomics data of single cells 
    Jarwal, Akanksha; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2023-02)
    Head and Neck Squamous Cell Carcinoma (HNSC) or Head and Neck Cancer is the sixth most highly prevalent cancer type worldwide. Early detection of HNSC is one of the important challenges in managing the treatment of cancer ...
  • Artificial intelligence in healthcare 
    Kashyap, Ritwik; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    In the realm of critical care medicine, the continuous generation of vital signs time series data from Intensive Care Units (ICUs) serves as a pivotal element for clinicians in evaluating patient prognostics and accessing ...
  • Artificial intelligence in proctoring systems 
    Mahant, Ayush; Gupta, Harshita; Jha, Shruti; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    Since the COVID-19 breakout which made remote education necessary, online courses and other virtual learning platforms have increased in popularity and reach. However with the increase in demand for remote learning, another ...
  • An artificial neural network based incremental placer for wire length reduction 
    Gagandeep; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2022-08)
    The total wire length of a design affects various QoR measures such as timing, power, and routability. Hence, it is a critical parameter to optimize in physical design. Post global routing, the total wire length can be ...
  • Assessment and improvement of predictive value of complexity based features for sepsis prediction 
    Gupta, Priyanka; Sethi, Tavpritesh (Advisor); Goyal, Vikram (Advisor) (2017-07)
    Data analytics is not embedded into critical environments such as Intensive Care Unit. It is now realized that there is an untapped potential of Big-data in improving patient care. However, this is not taken into practice ...
  • Assessment of data-driven and deterministic approaches for predicting bace-1 inhibitor binding affinities 
    S, Amaithi Priya; Murugan, Arul (Advisor) (IIIT-Delhi, 2022-06)
    BACE1 (beta-site amyloid precursor protein cleaving enzyme 1) is an aspartyl protease with a transmembrane domain that cleaves at the 671st position of amyloid precursor protein (APP) at the beta site. The production and ...
  • Assessment of honey bee colony health using computer vision and machine learning 
    Thakker, Madhav; Anand, Saket (Advisor); Purandare, Swapna (Advisor) (IIIT-Delhi, 2019-11-16)
    The decline in biodiversity threatens food-security and the quality of life of all living beings. The decline in the number of insects (bees) is a critical phenomenon that should be looked deeply into. Computer Vision ...
  • Asynchronous 1R-1W dual-port SRAM by using single-port SRAM 
    Bharath, K; Fell, Alexander (Advisor) (2016-12)
    With the advancement in technology nodes, the number of components operating in different clock domains on System on Chip (SoC) increases. To support the processing of data between these components, the demand of an ...
  • Attacking the tav-128 hash function 
    Kumar, Ashish; Sanadhya, Somitra Kumar (2012-03-14)
    Many RFID protocols use cryptographic hash functions for their security. The resource constrained nature of RFID systems forces the use of light weight cryptographic algorithms. Tav-128 is one such light weight hash ...
  • Augmented reality from 3d architectural models 
    Rathee, Gaurav; Pandey, Jalaj; Akhtar, Mohammad Hammad; Sharma, Ojaswa (Advisor) (2017-04-18)
    Usually in new places sign boards are used to provide directions or infrastructural information, this approach is quite rudimentary and limited. These boards can provide us with fixed and limited information and require ...
  • Augmented reality sandtable for indian military’s tactical training 
    Tiwari, Ambuj Bhaskar; Sharma, Deep; Tripathi, Devansh; Srivastava, Anmol (Advisor) (IIIT-Delhi, 2023-11-29)
    The Augmented Reality (AR) Sandbox has demonstrated diverse applications in tangible user interfaces, spanning from interactive educational experiences for children to topography mapping for weather visualization. Notably, ...
  • Authenticated encryption for memory constrained devices 
    Agrawal, Megha; Chang, Donghoon (Advisor); Sanadhya, Somitra Kumar (Advisor) (IIIT-Delhi, 2020-09)
    It is common knowledge that encryption is a useful tool for providing confidentiality. Authentication, however, is often overlooked. Authentication provides data integrity; it helps ensure that any tampering with or ...
  • Automated discovery of abstracts reporting gene-disease relationship 
    Sharma, Divya; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2020-01)
    Text classification is a construction problem of models which can classify new documents into predefined classes. It is important before text mining that we know what is the most important data that we require for our ...
  • Automated methods for identity resolution across online social networks 
    Jain, Paridhi; Kumaraguru, Ponnurangam (Advisor) (2016-04-28)
    Today, more than two hundred Online Social Networks (OSNs) exist where each OSN extends to offer distinct services to its users such as eased access to news or better business opportunities. To enjoy each distinct service, ...
  • Automated testing of interactive voice response applications 
    Asthana, Siddhartha; Singh, Pushpendra (2014-04-28)
    Dialing a telephone number of an organization and coming across an automated system attending the call, instead of a human, has become common. These automated applications are known as Interactive Voice Response (IVR) ...
  • Automated, inter-macro channel space adjustment and optimization for faster design closure 
    Kumar, K K Praveen; Fell, Alexander (Advisor) (2016-10-05)
    Achieving optimal floor-plans during the physical synthesis flow is an iterative and resource intensive process and its quality has a significant impact on subsequent synthesis stages in terms of runtime and quality of ...

Search Repository

Browse

My Account