IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

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  • 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 ...
  • 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, ...
  • 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 ...
  • 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, ...
  • Middleware for crowd sensing systems 
    Wason, Manan; Singh, Pushpendra (Advisor) (2016-11-18)
    Nowadays, mobile devices are loaded with many useful sensors and have high computational capabilities. The sensors available on these devices provide valuable data that can be harnessed in many ways. Due to abundance of ...
  • Middleware systems and analytics for energy management in buildings 
    Arjunan, Pandarasamy; Singh, Amarjeet (Advisor); Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018-03)
    As one of the largest consumers of overall energy, buildings have emerged as attractive targets for using information and communications technologies to advance large-scale sustainability goals. With increasing availability ...
  • MIMANSA : process mining software repositories from student projects in an undergraduate software engineering course 
    Mittal, Megha; Sureka, Ashish (Advisor) (2014-01-24)
    An undergraduate level Software Engineering course generally consists of a team-based semester long project and emphasizes on both technical and managerial skills. Software Engineering is a practice-oriented and applied ...
  • Mining android applications for discovering API call usage patterns and trends 
    Lamba, Yash; Sureka, Ashish (Advisor) (2014-10-16)
    Software libraries and frameworks, consisting of a collection of Class and Interface de nitions, provide a mechanism for code reuse by providing methods, APIs, components (generic functionality) and a support structure ...
  • Mining frequent spatial-textual sequential patterns 
    Arya, Krishan Kumar; Goyal, Vikram (Advisor) (2014-07-17)
    Penetration of GPS-enabled devices has resulted into generation of a lot of Spatial-Textual data, which can be mined/analyzed to improve various location-based services. One such kind of data is activity-trajectory data, ...
  • Mining high-utility itemsets from a transaction database 
    Dawar, Siddharth; Goyal, Vikram (Advisor); Bera, Debajyoti (Advisor) (IIIT-Delhi, 2021-04)
    Technological advances have enabled organizations to store large amounts of data cost-effectively. Patterns hidden in such massive databases can be valuable to industries to gain actionable knowledge and promote their ...
  • Mining interesting sub graphs using big data platforms 
    Khare, Alind; Goyal, Vikram (Advisor) (IIIT-Delhi, 2017-07-05)
    The goal of graph mining is to extract interesting sub graphs from a single large graph (e.g., a social network), or from a database of many graphs.This thesis has modified the FSM-H algorithm (algorithm for frequent sub ...
  • Mining top-K high utility itemsets in streaming data: a comparative study 
    Sharma, Veronica; Goyal, Vikram (Advisor) (2016-10-25)
    High Utility Itemset Mining (HUIM) has gained significant progress in recent years. The HUIM refers to the method of finding most relevant itemsets from a database and it finds its applications in the domain of senosor ...
  • Mining YouTube metadata for detecting privacy invading harassment and misdemeanour videos 
    Aggarwal, Nisha; Sureka, Ashish (Advisor) (2014-03-14)
    YouTube is one of the most popular and largest video sharing websites (with social networking features) on the Internet. A signi cant percentage of videos uploaded on YouTube contains objectionable content and violates ...

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