Browsing Computer Science & Engineering by Title
Now showing items 618-637 of 2127
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DAGIoV: A Framework for Vehicle to Vehicle Communication Using Directed Acyclic Graph and Game Theory
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Data sharing and content offloading among vehicles is an imperative part of the Internet of Vehicles (IoV). A peer-to-peer connection among vehicles in a distributed manner is a highly promising solution for fast communication ... -
Dairy Cow Rumination Detection: A Deep Learning Approach
( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and prevention of several diseases. Rumination ... -
Dairy Farm Management Information Systems
( MDPI , 2022 , Article)Nowadays, different types of farm management information systems (FMIS) are being used in practice in several sectors of farming, such as dairy, arable, fruits, vegetables, and meat farming. The goal of this research is ... -
DART: A large dataset of dialectal Arabic tweets
( European Language Resources Association (ELRA) , 2019 , Conference Paper)In this paper, we present a new large manually-annotated multi-dialect dataset of Arabic tweets that is publicly available. The Dialectal ARabic Tweets (DART) dataset has about 25K tweets that are annotated via crowdsourcing ... -
Data analytics platforms for agricultural systems: A systematic literature review
( Elsevier , 2022 , Article Review)With the rapid developments in ICT, the current agriculture businesses have become increasingly data-driven and are supported by advanced data analytics techniques. In this context, several studies have investigated the ... -
Data Augmentation for Intrusion Detection and Classification in Cloud Networks
( IEEE , 2021 , Conference Paper)Cloud computing is a paradigm that provides multiple services over the internet with high flexibility in a cost-effective way. However, the growth of cloud-based services comes with major security issues. Recently, machine ... -
Data Collection and Image Processing System for Ancient Arabic Manuscripts
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper presents a general-purpose data collection system that combines a DSLR camera with directional LED lamps in order to capture a large quantity of high-resolution manuscript images in such a way as to maximize the ... -
Data confidentiality in cloud-based pervasive system
( Association for Computing Machinery , 2017 , Conference Paper)Data confidentiality and privacy is a serious concern in pervasive systems where cloud computing is used to process huge amount of data such as matrix multiplications typically used in HPC. Due to limited processing ... -
Data driven feature extraction for gender classification using multi-script handwritten texts
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper presents a study on assessing the effectiveness of machine learned features to predict gender of writers from images of handwriting. Pre-trained Convolutional Neural Networks have been employed as feature ... -
Data Mining, Reasoning and Incremental Information Retrieval through Non Enlargeable Rectangular Relation Coverage
( Springer Berlin / Heidelberg , 2009 , Conference Paper)Association rules extraction from a binary relation as well as reasoning and information retrieval are generally based on the initial representation of the binary relation as an adjacency matrix. This presents some ... -
Data Obfuscation for Privacy and Confidentiality in Cloud Computing
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper proposes a data obfuscation approach in outsourcing matrix multiplication to cloud computing. It is primarily based on splitting the rows and columns of matrices to alter their actual dimension coupled with ... -
Data-Based Fault Diagnosis Model Using a Bayesian Causal Analysis Framework
( World Scientific Publishing Co. Pte Ltd , 2018 , Article)This paper provides a comprehensive data-driven diagnosis approach applicable to complex manufacturing industries. The proposed approach is based on the Bayesian network paradigm. Both the implementation of the Bayesian ... -
Data-driven curation, learning and analysis for inferring evolving IoT botnets in the wild
( Association for Computing Machinery , 2019 , Conference Paper)The insecurity of the Internet-of-Things (IoT) paradigm continues to wreak havoc in consumer and critical infrastructure realms. Several challenges impede addressing IoT security at large, including, the lack of IoT-centric ... -
DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment
(2021 , Article)The applications of unmanned aerial vehicles (UAVs) in military, intelligent transportation, agriculture, rescue operations, natural environment mapping, and many other allied domains has increased exponentially during the ... -
DDPG Performance in THz Communications over Cascaded RISs: A Machine Learning Solution to the Over-Determined System
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)THz technology is considered a key element in 6G wireless communication because it provides ultra-high bandwidths, considerable capacities, and significant gains. However, wireless systems operating at high frequencies are ... -
Decentralized ciphertext-policy attribute-based encryption schemes for lightweight devices
( Elsevier B.V. , 2019 , Article)In a traditional attribute-based encryption (ABE) system, there is only one central authority who generates and hence knows the secret keys of all users, this problem is known as the key escrow problem. An ABE scheme which ... -
Decentralized throughput maximization in cognitive radio wireless mesh networks
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article)Scheduling and spectrum allocation are tasks affecting the performance of cognitive radio wireless networks, where heterogeneity in channel availability limits the performance and poses a great challenge on protocol design. ... -
Deciding Your Own Anonymity: User-Oriented Node Selection in I2P
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)With the development of Internet applications, anonymous communication technology plays a very significant role in protecting personal privacy. As one of the most popular anonymous communication systems, I2P provides strong ... -
Deep CNN-Based real-time traffic light detector for self-driving vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation systems, Traffic Light Detection (TLD) is still considered an important module in autonomous vehicles and Driver Assistance ... -
Deep Federated Learning for IoT-based Decentralized Healthcare Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Recent trends in the healthcare industry, such as the use of wearable IoT for continuous health monitoring, are setting new requirements for healthcare systems that boost data analysis. These systems should support ...
