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Hybrid query expansion using lexical resources and word embeddings for sentence retrieval in question answering
Question Answering (QA) systems based on Information Retrieval return precise answers to
natural language questions, extracting relevant sentences from document collections …
natural language questions, extracting relevant sentences from document collections …
A concise review of MRI feature extraction and classification with kernel functions
Magnetic resonance imaging is a common medical imaging tool for the identification and
monitoring of brain diseases. Accurate classification of MRI brain pictures is extremely …
monitoring of brain diseases. Accurate classification of MRI brain pictures is extremely …
[HTML][HTML] Navigating the future of secure and efficient intelligent transportation systems using AI and Blockchain
Introduction/Background This study explores the limitations of conventional encryption in
real-world communications due to resource constraints. Additionally, it delves into the …
real-world communications due to resource constraints. Additionally, it delves into the …
Utilizing sentiment analysis for assessing suicidal risk in personal journal entries
Mental health is a rising alarming issue and its condition among teenagers and adults is
influenced by various factors including financial situation sociocultural context resource …
influenced by various factors including financial situation sociocultural context resource …
A hybrid evolutionary algorithm based automatic query expansion for enhancing document retrieval system
Nowadays, searching the relevant documents from a large dataset becomes a big
challenge. Automatic query expansion is one of the techniques, which addresses this …
challenge. Automatic query expansion is one of the techniques, which addresses this …
Improving query expansion using pseudo-relevant web knowledge for information retrieval
In the field of information retrieval, query expansion (QE) has long been used as a technique
to deal with the fundamental issue of word mismatch between a user's query and the target …
to deal with the fundamental issue of word mismatch between a user's query and the target …
Semantic approaches for query expansion
Abstract To increase the Information Retrieval System's efficiency, there is a requirement to
expand the native user query. There are many approaches to enhance the user query in …
expand the native user query. There are many approaches to enhance the user query in …
A hybrid edge-cloud computing approach for energy-efficient surveillance using deep reinforcement learning
This paper explores the novel application of Deep Reinforcement Learning (DRL) in
designing a more efficient, scalable, and distributed surveillance architecture, which …
designing a more efficient, scalable, and distributed surveillance architecture, which …
Comparitive Analysis of Various Transfer Learning Apporaches in Deep CNNs for Image Classification
Deep learning has become an effective approach over the past few years to addressing
intricate computer vision problems, and Convolutional Neural Networks (CNNs) have been …
intricate computer vision problems, and Convolutional Neural Networks (CNNs) have been …
Unlocking the power of natural language processing through journaling with the assistance
The relationship between artificial intelligence (AI) and mental health care, recognizing both
its immense potential and associated challenges. It offers an in-depth analysis of AI tools …
its immense potential and associated challenges. It offers an in-depth analysis of AI tools …