Browsing by Title

Sort by: Order: Results:

  • LLVM backend development for ReISC architecture 
    Gupta, Pooja; Guha, Apala (Advisor) (2015-12-02)
    In today's complex environment, it is very crucial for the devices to feature low power consumption at allow cost. Internet of things is predicted to bring an era where everything will have chips embedded in them, be it ...
  • Local re-adjustment based approaches for load balanced network voronoi diagram 
    Mehta, Ankita; Gunturi, Venkata M. Viswanath (Advisor) (2017-05)
    Input to the Load Balanced Network Voronoi Diagram (LBNVD) consists of the following: (a) a transportation network represented as a directed graph; (b) locations of public service units (e.g., schools in a city) as vertices ...
  • Location privacy in MobiShare 
    Soubam, Sonia; Naik, Vinayak (Advisor) (2013-05-30)
    This work focuses on providing privacy in MobiShare, which is a location-based service that assists users in searching and sharing files. A user’s mobility profile is summarization of its raw mobility data in terms of ...
  • Long document keyphrase extraction 
    Gautam, Dibya; Agrawal, Navneet (IIIT-Delhi, 2021-11)
    Keyphrase extraction is the task of automatically extracting a set of phrases from a document that represents the overall context of the given document. Such keyphrases can be used in multiple ways in Information retrieval, ...
  • Low complexity reconfigurable physical layer for the l-band digital aeronautical communications system 
    Agrawal, Niharika; Darak, Sumit J. (Advisor) (IIIT-Delhi, 2022-05)
    Exponential increase in global air traffic and demands to support heterogeneous services ranging from data to multimedia have compelled communication the- orists and engineers to explore an alternative to existing very ...
  • Low energy and sufficiently accurate localization for non-smartphones 
    Yadav, Kuldeep; Naik, Vinayak; Singh, Amarjeet; Singh, Pushpendra (2012-03-14)
    Location-aware applications are steadily gaining popularity across the world. However lack of GPS in low-end programmable phones (< $100) and general absence of Wi-Fi infrastructure in developing countries prevents users ...
  • Low phase noise & fast startup crystal oscillator 
    Pandit, Avinash; Grover, Anuj (Advisor) (IIIT-Delhi, 2019-06)
    The crystal oscillator is widely used in the electronics industry since it has become one of the essential parts of the reference clock for the Phase-locked loop (PLL). Highperformance systems benefit from higher frequency ...
  • Low power low phase noise LC VCO for sub GHZ range in 40nm technology 
    Sharma, Sapna; Visweswaran, G S (Advisor); Sengupta, Susanta (Advisor) (IIIT-Delhi, 2020-08)
    One of the most widely used blocks in Communication System design is Phase locked loop (PLL). PLLs are used as clock generators, frequency synthesizers, clock recovery in microprocessors and many other applications. The ...
  • Low rank group sparse representation based adaptive face recognition 
    Yadav, Shivangi; Vatsa, Mayank (Advisor) (2016-09-13)
    Face recognition is an important area of research due to its requirement in our day-to-day life, be it surveillance or authentication. Current advancements in technology and computational power have shown promising results ...
  • Low resource language processing 
    Kumar, Tanya Sanjay; Shah, Rajiv Ratn (Advisor); K, Sarveswaran (Advisor) (IIIT-Delhi, 2022-05)
    Natural Language Processing has been one of the most important domain in computer linguistics in today’s world. Though there are various efficiently performing tools and models for various NLP subtasks for English, Indic ...
  • Machine learning aided cancer drug response prediction using chemo-genomic data 
    Sharma, Prashant; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-07)
    The intricate nature of tumor heterogeneity and the personalized responses of cancer patients to drug treatments present significant challenges in the field of oncology. In this thesis, I aim to address such challenges by ...
  • Machine learning and deep learning models for solvation energy prediction 
    Tejas; Murugan, N Arul (Advisor) (IIIT-Delhi, 2023-08)
    Drug discovery is divided into 4 phases. The first phase is in-silico processes beginning with target identification and validation, followed by the hit discovery process, assay development, high throughput screening, ...
  • Machine learning approaches in cancer detection and treatment 
    Sarita; Sengupta, Debarka (advisor); Kumar, Lalit (advisor) (IIIT-Delhi, 2023-12)
    Cancer has become the second leading cause of mortality worldwide, and early de-tection and adequate treatment are crucial in reducing the cancer burden. Metastasis,which involves malignant cells detaching from the primary ...
  • Machine learning assisted EDFA modelling for gain and ASE prediction 
    Singh, Kshitiz; Mitra, Abhijit (Advisor) (IIIT-Delhi, 2022-05)
    Machine Learning methods and algorithms have found use in a vast number of industries, including the optical networks industries. One of the key components of any optical network is the Erbium Doped Fibre Amplifier, or ...
  • Machine learning in cancer genomics 
    Gupta, Taejas; Gupta, Anubha (Advisor) (IIITD-Delhi, 2019-04-28)
    Cancer is caused by an increased amount of cell growth in an area due to alterations in protein synthesis caused by mutations in certain genes known as cancer driver genes. Determining the gene regulatory network for the ...
  • Maginot lines and tourniquets : on the defendability of national cyberspace 
    Gosain, Devashish; Rawat, Madhur; Sharma, Piyush Kumar; Acharya, Hrishikesh Bhatt (IIIT-Delhi, 2020-01)
    National governments know the Internet as both a blessing and a headache. On the one hand, it unlocks great economic and strategic opportunity. On the other hand, government, military, or emergency-services become vulnerable ...
  • Malware detection through binary analysis 
    Maheshwary, Yashit; Kurian, Deepak; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2020-05-29)
    Malware Detection is an important problem in modern day due to the increasing frequency of malware attacks using unknown malware strains. Unlike traditional detection techniques which require a signature for each sample, ...
  • Manual curation of virus based vaccines and prediction of B-cell epitopes using machine learning technique 
    Tripathi, Sadhana; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-06)
    Unprecedented rise of newly emerging and re-emerging cases of infectious viral diseases have threatened humanity throughout. Vaccines stand as the safest and effective way to manage scale and spread of infectious diseases. ...
  • Manzar: issues with cyber censorship in India 
    Shekhawat, Sahil; Chakravarty, Sambuddho (Advisor) (2017-07-06)
    Last semester we found that the Indian government delegates censorship policies at ISP level which is inconsistent and disorganized. We filed multiple RTIs to Department of Telecommunication seeking censorship policies of ...
  • Mapping the maze : a study of internet shutdowns across the world 
    Malik, Ritik; Chakravarty, Sambuddho (Advisor); Khan, Aasim (Advisor) (IIIT-Delhi, 2021-06)
    The government regimes have frequently used internet shutdowns to curb the freedom of expression and devoice people worldwide. There could be other unintentional reasons, like power failure, device rupture, regional outages, ...

Search Repository

Browse

My Account