Browsing Computer Science & Engineering by Title
Now showing items 518-537 of 2202
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CheckThat! at CLEF 2020: Enabling the automatic identification and verification of claims in social media
( Springer , 2020 , Conference Paper)We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in ... -
Classification and trends in knowledge research relevance and context for smart farm technology development
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)With the climate change paradigm, farmers are facing changes in the environment all the time like drought, higher temperature, heavy raining, and the shift of season. Smart farm is a method for helping farmers to plant ... -
Classification ensemble to improve medical named entity recognition
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)An accurate Named Entity Recognition (NER) is important for knowledge discovery in text mining. This paper proposes an ensemble machine learning approach to recognise Named Entities (NEs) from unstructured and informal ... -
Classification for Imperfect EEG Epileptic Seizure in IoT applications: A Comparative Study
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Epileptic seizure detection could be detected through investigating the electroencephalography (EEG), which is deemed to be very important for IoT wearable sensor-based health systems. EEG-based classification is crucial ... -
Classification of corneal nerve images using machine learning techniques
( Penerbit UTHM , 2019 , Article)Recent research shows that small nerve fiber damage is an early detector of neuropathy. These small nerve fibers are present in the human cornea and can be visualized through the use of a corneal confocal microscope. A ... -
Classification of EEG signals for detection of epileptic seizure activities based on LBP descriptor of time-frequency images
( IEEE Computer Society , 2015 , Conference Paper)This paper presents novel time-frequency (t-f) feature extraction approach for the classification of EEG signals for Epileptic seizure activities detection. The proposed features are based on Local Binary Patterns (LBP) ... -
Cloud computing without seeing
( Association for Computing Machinery , 2011 , Conference Paper)In the emerging cloud computing model, security is of paramount concern. This paper discusses the need for practical techniques that enable private outsourcing on the cloud by allowing the service provider to work on ... -
Cloud database encryption technology based on combinatorial encryption
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Traditional cloud database directly stores user plaintext information, information security is directly related to the security of Cloud server, which will create a great security risk. The user's information security is ... -
Cloud of things for sensing as a service: sensing resource discovery and virtualization
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)We propose Cloud of Things for Sensing as a Service: a global architecture that scales up cloud computing by exploiting the global sensing resources of the highly dynamic and growing Internet of Things (IoT) to enable ... -
Cloud Storage Forensics: BaiduNetDisk, WeiYun, and 115yun on a Wireless Network
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)With the development of cloud computing and wireless networks, cloud storage services are widely used in daily life. People can get access to cloud storage anytime and anywhere. Cloud storage forensics is a computer forensic ... -
Cloud, Fog, and Edge Computing: A Software Engineering Perspective
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Cloud, Fog, and Edge Computing paradigms have been introduced for data-driven organizations in order to facilitate data computation and processing in an easier manner. Considering that there has been a huge increase in the ... -
Cloud-assisted mobile computing and pervasive services [Guest Editorial]
(2013 , Other)[No abstract available] -
Cloud-based mobile system for biometrics authentication
( IEEE , 2013 , Conference Paper)This paper introduces a new framework to perform handwritten password authentication as an Internet service based on the cloud computing technology. Using the proposed cloud-based authentication platform, we would be able ... -
Cloudlet-Based Intelligent Auctioning Agents for Truthful Autonomous Electric Vehicles Energy Crowdsourcing
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)This paper proposes cloudlet-based intelligent agents for energy crowdsourcing from autonomous electric vehicles (AEVs). Existing energy crowdsourcing mechanisms focus on load shedding and cost savings, but lack incentive ... -
Cluster validity index based on Jeffrey divergence
( Springer London , 2017 , Article)Cluster validity indexes are very important tools designed for two purposes: comparing the performance of clustering algorithms and determining the number of clusters that best fits the data. These indexes are in general ... -
Cluster validity index based on n-sphere
( IEEE , 2014 , Conference Paper)In this paper, we propose a new cluster validity index (CVI) based on geometrical shape. Classic CVIs are based on a combination of separation and compactness measures and may include a measure of overlap between clusters. ... -
Cluster-based Cooperative Multicast for Multimedia Data Dissemination in Vehicular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)With the development of communication technologies, vehicular network applications have evolved from basic traffic safety and efficiency applications to information and entertainment applications. The implementation of ... -
Clustered binary consensus in sensor motes
( VDE VERLAG GMBH , 2014 , Conference Paper)In this work, we extend and adapt the binary consensus algorithm to operate using clusters in a wireless sensor network. Binary consensus is a decision making algorithm used to cause distributed entities to agree on the ... -
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
( Elsevier , 2023 , Article)Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in children can negatively impact ... -
CNN Features vs Classical Features for Largescale Cultural Image Retrieval
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Modern applications for cultural content enrichment and management require low delay image retrieval methods in large databases. Classical image retrieval methods are suitable for certain applications but are also known ...
