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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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...