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    Article

    Suspect face retrieval system using multicriteria decision process and deep learning

    The identification and apprehending of suspects by law enforcement authorities rely heavily on facial sketches. The sketch artist creates sketches based on the witnesses’ memories. Sketch artists are few and l...

    Anand Singh Jalal, Dilip Kumar Sharma, Bilal Sikander in Multimedia Tools and Applications (2023)

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    Article

    Suspect face retrieval using visual and linguistic information

    Faces are the most common biometric used for the identification of a person. Law enforcement agencies use face as a key point to identify the suspect involved in unlawful activities. Forensic sketches are norm...

    Anand Singh Jalal, Dilip Kumar Sharma, Bilal Sikander in The Visual Computer (2023)

  3. Article

    Predicting image credibility in fake news over social media using multi-modal approach

    Social media are the main contributors to spreading fake images. Fake images are manipulated images altered through software or by other means to change the information they convey. Fake images propagated over...

    Bhuvanesh Singh, Dilip Kumar Sharma in Neural Computing and Applications (2022)

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    Article

    A contemporary combined approach for query expansion

    The use of an automatic query expansion technique is to enhance the performance of the Information Retrieval System. Selecting the candidate terms for query expansion is an essential task to make query more pr...

    Dilip Kumar Sharma, Rajendra Pamula, D. S. Chauhan in Multimedia Tools and Applications (2022)

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    Article

    IoT Based Virtual E-Learning System for Sustainable Development of Smart Cities

    Globally, cities are emerging into Smart Cities (SC) as a result of sustainable cities and the adaption of recent Internet of Things (IoT) technology. It is becoming essential to involve students in sustainabi...

    Roy Setiawan, Maria Manuel Vianny Devadass, Regin Rajan in Journal of Grid Computing (2022)

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    Chapter and Conference Paper

    Novel Approximation Booths Multipliers for Error Recovery of Data-Driven Using Machine Learning

    The multiplier is a primary function of the circuit that is frequently used in Digital Signal Processing. Estimated circuits were investigated for better efficiency/lower power consumption but are still troubl...

    Sudhakar Sengan, Osamah Ibrahim Khalaf in Emerging Technology Trends in Internet of … (2022)

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    Article

    Mille Cheval: a GPU-based in-memory high-performance computing framework for accelerated processing of big-data streams

    Streams are temporally ordered, rapid changing, ample in volume, and infinite in nature. It is nearly impossible to store the entire data stream due to its large volume and high velocity. In this work, the pri...

    Vivek Kumar, Dilip Kumar Sharma, Vinay Kumar Mishra in The Journal of Supercomputing (2021)

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    Chapter and Conference Paper

    Cold Start in Function as a Service: A Systematic Study, Analysis and Evaluation

    Function as a Service is one of the most popular and used offerings of cloud paradigm and hence is continuously evolving with both changes in the offering and the implementation. To the service user, it still ...

    Ravi Prakash Varshney, Dilip Kumar Sharma in Futuristic Trends in Network and Communica… (2021)

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    Chapter and Conference Paper

    A Comparative Analysis of Fuzzy Logic Based Query Expansion Approaches for Document Retrieval

    Query expansion is one of the techniques to find suitable terms for redefining the queries so that the document retrieval performance can be enhanced. This paper presents a comparative analysis of recently dev...

    Dilip Kumar Sharma, Rajendra Pamula in Advances in Computing and Data Sciences (2018)