Now showing items 96-115 of 596

    • COMPREHENSIVE STUDY OF GENERATIVE METHODS ON DRUG DISCOVERY 

      Xiu, Siyu; 0000-0002-1145-9648 (2019-12-09)
      Observing the recent success of the deep learning (DL) technology in multiple life-changing application areas, e.g., autonomous driving, image/video search and discovery, natural language processing, etc., many new ...
    • Computational Analysis Of Structure And Function Of Genomic Sequences 

      Singh, Abanish (Computer Science & Engineering, 2009-09-16)
      The genetic code consists of long chains of deoxyribonucleic acid (DNA) present in every cell of a living organism. These chains contain both functional and non-functional DNA sequences, and their proportion in the mix ...
    • Computational Analysis Of Variability Of Recombination In Mice 

      Galigekere Nagabhushana, Vishnukumar (Computer Science & Engineering, 2008-09-17)
      Rapid advances in engineering and technology have fueled research in areas such as molecular biology and genetics to a new level and thus have given birth to multidisciplinary fields like bioinformatics and computational ...
    • COMPUTATIONAL APPROACHES FOR FINDING DISEASE RELATED GENES AND RNAS 

      Fraidouni, Negin; 0000-0003-3252-950X (2019-06-18)
      Finding candidate genes that could cause specific diseases has been the subject of many studies. This is an important research task, however in the biological experimentation domain it can be very expensive and time ...
    • A Computational Framework For Human-Centered Multimodal Data Analysis 

      Metsis, Vangelis (Computer Science & Engineering, 2012-04-11)
      Human-Centered computing defines a field of study in which computational processes affect the human being, either through ubiquitous and pervasive use of devices or any effect that improves the human condition. Human-Centered ...
    • Computer Vision Methods for Sign Language and Cognitive Evaluation through Physical Tasks 

      Dillhoff, Alex J (2020-08-05)
      Analyzing human motion is vital for a multitude of tasks including human-computer interaction, sign language recognition, and the assessment of cognitive disorders. Providing automatic assessments for cognitive disorders ...
    • Computing Best Coverage Path In The Presence Of Obstacles In Wireless Sensor Networks 

      Basu Roy, Senjuti (Computer Science & Engineering, 2007-08-23)
      Given a set S = {S1,...,Sn} of n homogeneous wireless sensors deployed in a two dimensional area, a source point s and a destination point t, the least protected point p along a path (s,t) is that point such that the ...
    • Concept-based Search Using Parallel Query Expansion 

      Joshi, Rahul Rajiv (Computer Science & Engineering, 2007-08-23)
      We address the problem of irrelevant results for short queries on Web search engines. Short queries fail to provide sufficient context to disambiguate possible meanings associated with the search terms resulting in a set ...
    • Concurrent Polyglot: An Extensible Compiler Framework 

      Kothari, Saurabh Satish (Computer Science & Engineering, 2011-07-14)
      We have today crossed the threshold of increasing clock frequencies as the dominant solution to faster computing, and it is imperative for software developers to be able to think in the concurrent and parallel paradigm. ...
    • Congestion Control For Networks In Challenged Environments 

      Zhang, Guohua (Computer Science & Engineering, 2008-09-17)
      Congestion occurs when resource demands exceed the capacity of a network. The goal of congestion control is to use the network as efficiently as possible. While extensive efforts have been devoted to providing optimization ...
    • Context Aware Energy Conservation In Pervasive Computing Environments 

      Joseph, Prathiba (Computer Science & Engineering, 2007-08-23)
      Extending battery lifetime is one of the most critical and challenging problems in mobile systems. When the mobile device sounds a low battery alarm, the user is given an ultimatum to quickly find a power source or suspend ...
    • Context Reasoning Under Uncertainty Based On Evidential Fusion Networks In Home-based Care 

      Lee, Hyun (Computer Science & Engineering, 2011-03-03)
      Pervasive computing technologies use embedded intelligent systems to enable various real-time applications. Some of these applications are: continuous healthcare monitoring, autonomous diagnosis and treatment, and remote ...
    • Context-Aware Gaze-Based Interface for Smart Wheelchair 

      Pham, Tien; 0000-0001-5632-9209 (2023-05-22)
      Human-Computer Interfaces (HCI) is an essential aspect of modern technology that has revolutionized the way we interact with machines. With the revolution of computers and smart devices and the advent of autonomous vehicles ...
    • A Context-aware Learning, Prediction And Mediation Framework For Resource Management In Smart Pervasive Environments 

      Roy, Nirmalya (Computer Science & Engineering, 2008-09-17)
      Advances in smart devices, mobile wireless communications, sensor networks, pervasive computing, machine learning, middleware and agent technologies, and human computer interfaces have made the dream of smart environments ...
    • CONTINUOUS AMERICAN SIGN LANGUAGE TRANSLATION WITH ENGLISH SPEECH SYNTHESIS USING ENCODER-DECODER APPROACH 

      Ganesh, Preetham; 0000-0002-5655-3777 (2021-05-09)
      Interaction between human beings brings about improvements in science and technology. However, the interaction is limited for people who are deaf or hard-of-hearing, as they can only communicate with others who also know ...
    • Control Framework Dynamic Walking Of A Bipedal Robot 

      Bhongale Prabhakar Prasad, Kishan Kumar (Computer Science & Engineering, 2013-03-20)
      Despite significant progress in recent years, the capabilities of today's Humanoid robots still lack behind the walking abilities of humans in terms of competence, robustness, flexibility, and speed. Furthermore, unknown ...
    • Convex and Non-convex Optimization Methods for Machine Learning 

      Zohrizadeh, Fariba (2019-08-01)
      This dissertation is concerned with modeling fundamental and challenging machine learning tasks as convex/non-convex optimization problems and designing a mechanism that could solve them in a cost and time-effective manner. ...
    • CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS FOR PEDESTRIAN DETECTION 

      Balaji, Vivek Arvind; 0000-0001-6165-2385 (2016-12-06)
      Pedestrian Detection in real time has become an interesting and a challenging problem lately. With the advent of autonomous vehicles and intelligent traffic monitoring systems, more time and money are being invested into ...
    • Crowd Data Analytics and Optimization 

      Rahman, Habibur; 0000-0003-0296-8851 (2017-05-05)
      Crowdsourcing can be defined as outsourcing with crowd, where crowd refers to the online workers who are willing to complete simple tasks for small monetary compensation. The overwhelming reach of internet has enabled us ...
    • Crowdsourcing for Decision Making with Analytic Hierarchy Process 

      Timilsina, Ishwor
      Analytic Hierarchy Process (AHP) is a Multiple-Criteria Decision-Making MCDM) technique devised by Thomas L. Saaty. In AHP, all the pairwise comparisons between criteria and alternatives in terms of each criterion are used ...