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View article: RAG-BioQA Retrieval-Augmented Generation for Long-Form Biomedical Question Answering
RAG-BioQA Retrieval-Augmented Generation for Long-Form Biomedical Question Answering Open
The exponential growth of biomedical literature creates significant challenges for accessing precise medical information. Current biomedical question-answering systems primarily focus on short-form answers, failing to provide the comprehen…
View article: Agroforestry Systems for Enhancing Biodiversity and Soil Conservation in Agricultural Landscapes
Agroforestry Systems for Enhancing Biodiversity and Soil Conservation in Agricultural Landscapes Open
Agroforestry is an integrative land-use system that enhances biodiversity, improves soil conservation, and mitigates climate change while sustaining agricultural productivity. By strategically combining trees, crops, and livestock, agrofor…
View article: A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining
A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining Open
This paper introduces an intelligent baggage item recommendation system to optimize packing for air travelers by providing tailored suggestions based on specific travel needs and destinations. Using FastText word embeddings and Association…
View article: A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link
A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link Open
Kernel-based nonlinear dictionary learning methods operate in a feature space obtained by an implicit feature map, and they are not independent of computationally expensive operations like Singular Value Decomposition (SVD). This paper pre…
View article: A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining: A Novel Approach
A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining: A Novel Approach Open
The use of automated systems is helpful for the social transformation to an advanced society. This research paper presents a baggage item recommendation system that leverages FastText word embeddings and Association Rule Mining (ARM) to de…
View article: Optimal Projections for Discriminative Dictionary Learning using the JL-lemma
Optimal Projections for Discriminative Dictionary Learning using the JL-lemma Open
Dimensionality reduction-based dictionary learning methods in the literature have often used iterative random projections. The dimensionality of such a random projection matrix is a random number that might not lead to a separable subspace…
View article: Discriminative Dictionary Learning based on Statistical Methods
Discriminative Dictionary Learning based on Statistical Methods Open
Sparse Representation (SR) of signals or data has a well founded theory with rigorous mathematical error bounds and proofs. SR of a signal is given by superposition of very few columns of a matrix called Dictionary, implicitly reducing dim…
View article: Enhanced layered fog architecture for IoT sensing and actuation as a service
Enhanced layered fog architecture for IoT sensing and actuation as a service Open
The reduced service cost offered by Sensing and Actuation as a Service paradigm, particularly in Internet of Things (IoT) era, has encouraged many establishments to start without worrying about having their own infrastructure. Such a parad…
View article: Face Mask Detection at the Fog Computing Gateway
Face Mask Detection at the Fog Computing Gateway Open
This work proposes a fog computing-based face mask detection system for controlling the entry of a person into a facility.The proposed system uses fog nodes to process the video streams captured at various entrances into a facility.Haar-ca…
View article: Performance Improvement of MapReduce Framework in Heterogeneous Context using Reinforcement Learning
Performance Improvement of MapReduce Framework in Heterogeneous Context using Reinforcement Learning Open
MapReduce is presently established as an important distributed and parallel programming model with wide acclaim for large scale computing. Intelligent scheduling decisions can help in reducing the overall runtime of the jobs. MapReduce per…