IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

Sort by: Order: Results:

  • 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 for intensive care units 
    Sehgal, Rahul; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Intensive Care Units (ICUs) generate extensive time series data, particularly patient vitals, holding immense potential for meaningful insights crucial for timely interventions and enhanced patient outcomes. Conventional ...
  • 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, ...
  • 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 ...
  • Matrix completion techniques in bioinformatics 
    Mongia, Aanchal; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2020-09)
    Data analytics and computational techniques applied to biological sciences aid rapid technological advances, swift discoveries, and reliable analysis. A broad range of bountiful tools and algorithms have played pivotal ...
  • Me, myself and my killfie: characterizing and preventing selfie deaths 
    Vachher, Mayank; Kumaraguru, Ponnurangam (Advisor) (2016-11-16)
    Over the past couple of years, clicking and posting selfies has become a popular trend. However, since March 2014, 127 people have died and many have been injured while trying to click a selfie. Researchers have studied ...
  • Medical image segmentation 
    Jangu, Kushiluv; Yadav, Abhinn; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    Medical image segmentation is a pivotal technique in modern medical imaging, essential for enhancing diagnosis accuracy and patient care. This study explores the application of four advanced deep learning models - DermoSegDiff, ...
  • Medical image segmentation 
    Jangu, Kushiluv; Yadav, Abhinn; Gupta, Anubha (Advisor) (2023-11-29)
    Medical image segmentation is a pivotal technique in modern medical imaging, essential for enhancing diagnosis accuracy and patient care. This study explores the application of four advanced deep learning models - DermoSegDiff, ...
  • Melody generation from lyrics using three branch conditional LSTM-GAN 
    Srivastava, Abhishek; Shah, Rajiv Ratn (Advisor); Yu, Yi (Advisor) (IIIT-Delhi, 2020-07)
    Automating the process of melody generation from lyrics has been a challenging research task in the field of artificial intelligence. Lately, however, music-related datasets have become available at large-scale, and with ...
  • MELOS : a low-cost and low-energy generic sensing attachment for mobile phones 
    Bhardwaj, Abhishek; Arjunan, Pandarasamy; Singh, Amarjeet; Naik, Vinayak; Singh, Pushpendra (2012-03-26)
    Ubiquitous availability of cellular network and cheap mobile phones have made them promising sensing platforms for various application domains including healthcare, environment, and astronomy among others. However, ...
  • Meme analysis 
    Agarwal, Siddhant; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Memes are highly prevalent in online social media content, making them a vital source for analysing their power in diffusing ideas online. Memes combine the appeal of visuals with compelling messages, which have the potential ...
  • Memetic approach for matching sketches with digital face images 
    Bhatt, Himanshu S; Bharadwaj, Samarth; Singh, Richa; Vatsa, Mayank (2012-03-26)
    One of the important cues in solving crimes and apprehending criminals is matching sketches with digital face images. This paper presents an automated algorithm that extracts discriminating information from local regions ...
  • Memory-efficient filter based policy iteration zero sum two player differential game for adaptive LQR 
    Singh, Mandeep; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2020-07)
    A memory efficient filter based iterative algorithm is proposed for a two-player zero sum linear differential game problem arising in the control of process systems affected by disturbances.The objective in such a scenario ...
  • Mental health copilot (a conversational assistant for support seekers on online mental health platforms(OMHP)) 
    Gaur, Bhagesh; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor); Srivastava, Aseem (Advisor) (IIIT-Delhi, 2023-11-29)
    This thesis presents the development of Mental Health Co-Pilot (MH-CoPilot), a novel conversational assistant designed to revolutionize the support-seeking experience on Online Mental Health Platforms (OMHPs) like Reddit ...
  • Meta-analysis of oral microbiome datasets 
    Abhishek; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    The oral microbiome is a complex ecosystem of bacteria, viruses, fungi, and other microorganisms that reside in the mouth. There has been growing interest in studying the oral microbiome in recent years, as it has been ...
  • Metric learning 
    Goyal, Harsh; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-11-28)
    Similarity metric learning is a sub-field of machine learning domain that focuses on developing techniques to measure the similarity between data points in a meaningful way. This project aims to design and develop a new ...
  • Microservice-based in-network AES solution for FPGA NICs 
    Hussain, Lasani (IIIT-Delhi, 2022-12)
    Data centers demand high throughput (100 to 400 Gbps) and sub-millisecond latency. The performance of data center applications heavily depends on the efficiency of the underlying TCP stack. Despite several optimizations, ...

Search Repository


Advanced Search

Browse

My Account