Automatic image and video caption generation with deep learning: A concise review and algorithmic overlap

S Amirian, K Rasheed, TR Taha, HR Arabnia - IEEE access, 2020 - ieeexplore.ieee.org
Methodologies that utilize Deep Learning offer great potential for applications that
automatically attempt to generate captions or descriptions about images and video frames …

A short review on image caption generation with deep learning

S Amirian, K Rasheed, TR Taha… - Proceedings of the …, 2019 - search.proquest.com
Abstract Methodologies that utilize Deep Learning offer great potential for applications that
automatically attempt to generate captions or descriptions about images. Image captioning …

Determining wellness through an ambient assisted living environment

NK Suryadevara, SC Mukhopadhyay - IEEE Intelligent Systems, 2014 - ieeexplore.ieee.org
Here, we present pervasive computing technology to determine the wellness of the elderly
living independently in their homes. The framework of the intelligent system consists of …

HFIM: a Spark-based hybrid frequent itemset mining algorithm for big data processing

KK Sethi, D Ramesh - The Journal of Supercomputing, 2017 - Springer
Frequent itemset mining is one of the data mining techniques applied to discover frequent
patterns, used in prediction, association rule mining, classification, etc. Apriori algorithm is …

A dynamic task scheduling framework based on chicken swarm and improved raven roosting optimization methods in cloud computing

S Torabi, F Safi-Esfahani - The Journal of Supercomputing, 2018 - Springer
Scheduling means devoting tasks among computational resources, considering specific
goals. Cloud computing is facing a dynamic and rapidly evolving situation. Devoting tasks to …

Evaluating the effectiveness of the security quality requirements engineering (SQUARE) method: a case study using smart grid advanced metering infrastructure

H Suleiman, D Svetinovic - Requirements Engineering, 2013 - Springer
This paper presents an evaluation of the security quality requirements engineering
(SQUARE) method. The evaluation of SQUARE was conducted by its application on the …

[图书][B] Intelligent sensing, instrumentation and measurements

SC Mukhopadhyay - 2013 - Springer
In recent times, the wireless sensors and sensors network have been widely used in many
applications such as monitoring environmental parameters, monitoring and control of …

AI in power systems and energy markets

C Ramos, CC Liu - IEEE Intelligent Systems, 2011 - ieeexplore.ieee.org
This Guest Editors' Introduction identifies an opportunity for the cross-fertilization between
power systems and energy markets researchers and new developments of AI. The articles …

Challenges implementing Internet of Things (IoT) using cognitive radio capabilities in 5G mobile networks

K Katzis, H Ahmadi - Internet of Things (IoT) in 5G Mobile Technologies, 2016 - Springer
This chapter aims at identifying the main design and operation constraints, that smart
environments are expected to experience within a 5G wireless/mobile network and how …

Dissection of deep learning with applications in image recognition

S Amirian, Z Wang, TR Taha… - 2018 International …, 2018 - ieeexplore.ieee.org
Deep Learning has dramatically improved the accuracy of image recognition. Image
recognition is considered to be one of the most challenging problems in imaging science …