Automatic text summarization: A comprehensive survey

WS El-Kassas, CR Salama, AA Rafea… - Expert systems with …, 2021 - Elsevier
Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

OBPP: An ontology-based framework for privacy-preserving in IoT-based smart city

M Gheisari, HE Najafabadi, JA Alzubi, J Gao… - Future Generation …, 2021 - Elsevier
IoT devices generate data over time, which is going to be shared with other parties to
provide high-level services. Smart City is one of its applications which aims to manage cities …

Recent advances in deep learning techniques and its applications: an overview

A Hazra, P Choudhary, M Sheetal Singh - Advances in Biomedical …, 2021 - Springer
Learning with images and their classification, segmentation, localization, annotation, and
abnormally detection is one of the current challenging and exciting task for the researchers …

A survey on deep learning in big data

M Gheisari, G Wang… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Big Data means extremely huge large data sets that can be analyzed to find patterns, trends.
One technique that can be used for data analysis so that able to help us find abstract …

An efficient cluster head selection for wireless sensor network-based smart agriculture systems

M Gheisari, MS Yaraziz, JA Alzubi… - … and Electronics in …, 2022 - Elsevier
With the increasing availability of high-resolution satellite and drone images and the Internet
of Things (IoT) has begun transforming remote sensing of agriculture by improving …

Multi-document extractive text summarization: A comparative assessment on features

B Mutlu, EA Sezer, MA Akcayol - Knowledge-Based Systems, 2019 - Elsevier
Text summarization is the process of generating a brief version of a text that preserves the
salient information of the text. For information retrieval, it is a good dimension reduction …

A context-aware privacy-preserving method for IoT-based smart city using software defined networking

M Gheisari, G Wang, WZ Khan… - Computers & …, 2019 - Elsevier
Smart City is an application of the Internet of Things (IoT) with the aim of managing cities
without human intervention. Each IoT device that is producing data may sense a sensitive …

An edge computing-enhanced internet of things framework for privacy-preserving in smart city

M Gheisari, G Wang, S Chen - Computers & Electrical Engineering, 2020 - Elsevier
To supervise massive generated data by the Internet of Things (IoT) efficiently, we face two
issues that should be addressed which are:(1) heterogeneity or satisfying diversity among …

Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification

K Suresh Kumar, AS Radha Mani… - Applied Artificial …, 2024 - Taylor & Francis
In our approach, a hybrid machine learning model is proposed which uses Enhanced Vector
Space Model (EVSM) along with Hybrid Support Vector Machine (HSVM) classifier. Initially …

A dynamic SDN-based privacy-preserving approach for smart city using trust technique

JA Alzubi, AA Movassagh, M Gheisari… - 2022 9th Iranian …, 2022 - ieeexplore.ieee.org
A smart city is an Internet-based application of things that automates city management with
no need for human interference. Exchanging data via devices obviate some challenges in …