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Browsing MASTERS' THESES (CSE) by Title

Browsing MASTERS' THESES (CSE) by Title

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  • ACTION RECOGNITION USING FEATURE FUSION 
    Sharma, Renuka (I I T ROORKEE, 2018-05)
    Action recognition seems to be a very easy task for us humans but it requires a lot of information processing in terms of recognizing patterns when it comes to computer systems. Here, we try to devise a new way of ...
  • ANALYSING PRODUCT REVIEWS USING DEEP-LEARNING MODEL 
    Rai, Nitesh Kumar (I I T ROORKEE, 2019-05)
    Due to explosive evolution and popularity of electronic media, Online shopping and Social media sites, vast amount of user review and experience available in the form of raw data. It can be used for opining mining or ...
  • ANALYSIS AND CHARACTERIZATION OF GEOMETRIC OBJECTS ON TETRAHEDRAL GRID 
    Koshti, Girish (I I T ROORKEE, 2018-05)
    A grid usually is two or more sets of parallel lines in 2D or planes in 3D that intersect one another (called as grid points) at particular angle. It divides the plane or space into many congruent polytopes. Most common ...
  • ANALYSIS AND IMPLEMENTATION OF RC4 ALGORITHM FOR STREAM CIPHERS 
    Rocky, Swagatam Roy (I I T ROORKEE, 2019-05)
    Since its public availability in 1994, RC4 has been extensively used for data – security measures. The specialty of RC4 lies within its formation – it is very easy to implement compared to other stream ciphers while ...
  • ANALYSIS OF ENSEMBLE MODELS FOR AGING RELATED BUG PREDICTION IN SOFTWARE SYSTEMS 
    Sharma, Shubham (I I T ROORKEE, 2018-05)
    With the evolution of the software industry, the growing software complexity led to the increase in the number of software faults. According to the study, the software faults are responsible for many unplanned system ...
  • ANALYSIS OF SOME COMPUTATIONAL INTELLIGENCE APPROACHES FOR SOFTWARE RELIABILITY PREDICTION 
    Spandana, Dola (I I T ROORKEE, 2018-05)
    Software engineering is partial without Software reliability prediction. “For characterizing any software product quality quantitatively during phase of testing, the most important factor is software reliability assessment. ...
  • APPLYING DATA MINING FOR FINDING PATTERNS FROM SPATIO TEMPORAL TEXT QUERY DATA 
    Javiya, Ravi (I I T ROORKEE, 2019-05)
    As the use of sensor network, GPS, and telecommunication technology increased, the availability of spatio-temporal data is also increasing exponentially. The use of these technologies also increased in the eld of ...
  • ARCHITECTURE AND FRAMEWORK FOR RELIABILTY OF EDGE-ASSISTED IOT SYSTEM 
    Sood, Akriti (I I T ROORKEE, 2019-05)
    Internet of Things (IoT) is the interconnection of Internet-enabled devices that can share information with each other or to Cloud servers. The communication between the delivering nodes and the Cloud server is vulnerable ...
  • BRESAT CANCER CLASSIFICATION USING LOGICAL ANALYSIS OF DATA 
    Nigade, Nagendra Sunil (I I T ROORKEE, 2019-05)
    In current situation, each user is generating gigabytes of data each day. The quantity of data is so huge that we have dependent on machine learning models to capture import data / to capture patterns from data that can ...
  • COMPOSITE WORD EMBEDDINGS BASED IMPROVED SENTIMENT ANALYSIS USING DEEP LEARNING 
    T. S., Bharath (I I T ROORKEE, 2018-05)
    Due to the explosive growth and popularity of Social Media sites, massive amounts of raw data are available that can be used for opinion mining and other pattern identification tasks. Identifying and summarizing the opinion ...
  • CONTENT ANALYSIS OF VIDEOS USING ALIGNMENT TECHNIQUES 
    Jaiswal, Shubhangi (I I T ROORKEE, 2017-11)
    In recent years, with increase in the use of Internet the multimedia contents on it have rapidly increased. Users may want to go through a video in top down manner i.e. browsing the videos, or in bottom up manner i.e. ...
  • DATA MINING FOR HUMAN HEALTH AND WELL BEING 
    H. R., Mohamed Imran H R (I I T ROORKEE, 2018-05)
    Health-care industry today generates large amount of complex data about patients, hospitals resources, disease diagnosis, electronic patient records, medical devices etc.The large amounts of data is a key resource to be ...
  • DEEP NEURAL NETWORK BASED ESTIMATION FOR THERMAL COMFORT INDEX 
    Mitra, Anirban (I I T ROORKEE, 2018-05)
    Thermal Comfort indicates human interpretation of comfort level of an environment. Predicting Thermal Comfort for a certain future date can have several applications. Predictive Mean Vote (PMV) is one of the most used ...
  • DEMAND PREDICTION FOR RECOMMENDING SPATIO- TEMPORAL DISTRIBUTION OF PILGRIM TRANSPORTATION 
    Singh, Alok (IIT ROORKEE, 2019-05)
    Taxis play an important role in transportation service. Unlike other transportation service like train, buses, etc., they provide service at your desired time and place. Taxicabs cruise for passengers at taxis stands, along ...
  • DESIGNING A BUFFER MANAGEMENT ALGORITHM FOR EDGE-ASSISTED IOT SYSTEM 
    Raikwar, Meenakshi (I I T ROORKEE, 2019-05)
    The data loss due to connection failure from an Internet-of-Things (IoT) device to a Cloud may occur due to disruption or many other reasons. Buffering is one of the ways to handle such data losses. The work in this thesis ...
  • DESING AUTOMATION FOR MICRO ELECTRODE DOT ARRAY BASED DIGITAL MICROFLUIDIC BIOCHIPS 
    Pal, Surbhi (I I T ROORKEE, 2019-05)
    Microfluidics is the branch of science which deals with the manipulation of fluids in the sub-millimeter scale. With the evolution of technology, digital microfluidic (DMF) biochips have become a vital part of biochemical ...
  • DESLGN AND IMPLEMENTATION OF A TRANSPORTATION PROBLEM USING LINEAR PROGRAMMING 
    Jaiswal, Govind (I I T ROORKEE, 2018-05)
    Linear Programming is a way of allocating resources in e cient manner so that cost in allocation can be minimized and pro t can be maximized. Linear Pro- gramming is based on mathematical formulations .Transportation ...
  • DETECTION OF OPINION FRAUD USING TEMPORAL APPROACH 
    Rani, Rachna (I I T ROORKEE, 2018-05)
    The social opinion for products and services advertised on online platforms such as Amazon, TripAdvisor or YouTube plays a vital role in shaping the decision of users. The products and services most liked by the users ...
  • DISCRIMINATIVE PARTS DISCOVERY FOR FINE GRAINED OBJECT CATEGORIZATION 
    Kadam, Deepika (I I T ROORKEE, 2018-05)
    In the past few years, many object classification techniques have been developed. However, these techniques do not perform very well when categorizing objects belonging to fine-grained categories. It is easier to ...
  • EXPLORING THE IMPACT OF AGE AND GENDER ON SENTIMENT ANALYSIS 
    Gahalawat, Monika (I I T ROORKEE, 2018-05)
    Sentiment Analysis is a rapidly growing field of research due to the explosive growth in digital information, there is a need to filter out unnecessary information and get meaningful results out of this huge information. ...