Browsing Computer Science & Engineering by Title
Now showing items 2009-2028 of 2201
-
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Machine learning techniques are becoming mainstream in intrusion detection systems as they allow real-time response and have the ability to learn and adapt. By using a comprehensive dataset with multiple attack types, a ... -
Time-critical geolocation for social good
( Springer , 2020 , Conference Paper)Twitter has become an instrumental source of news in emergencies where efficient access, dissemination of information, and immediate reactions are critical. Nevertheless, due to several challenges, the current fully-automated ... -
Time-Dependent Pricing for Bandwidth Slicing under Information Asymmetry and Price Discrimination
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Due to the bursty nature of Internet traffic, network service providers (NSPs) are forced to expand their network capacity in order to meet the ever-increasing peak-time traffic demand, which is however costly and inefficient. ... -
Time-frequency based signal restoration for laser-ultrasound signals with applications in nondestructive testing
( IEEE , 2011 , Conference Paper)In this paper, an inspection system has been presented that uses Laser-Ultrasound (LU) technique for Nondestructive testing (NDT) of metallic structures with specific interest in Oil & Gas sector. While the developed ... -
Time-frequency image descriptors-based features for EEG epileptic seizure activities detection and classification
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents new class of time-frequency (T-F) features for automatic detection and classification of epileptic seizure activities in EEG signals. Most previous methods were based only on signal features derived ... -
Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach
( Springer , 2020 , Article)© 2020, Springer-Verlag London Ltd., part of Springer Nature. Bitcoin is a decentralized cryptocurrency, which is a type of digital asset that provides the basis for peer-to-peer financial transactions based on blockchain ... -
To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications
( Elsevier B.V. , 2020 , Article)Traceability and autonomous business logic execution are highly desirable features in IoT monitoring applications. Traceability enables verifying signals history for security or analytical purposes. On the other hand, the ... -
A Topic Representation Model for Online Social Networks Based on Hybrid Human-Artificial Intelligence
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)With the widespread use of online social networks, billions of pieces of information are generated every day. How to detect new topics quickly and accurately at such data scale plays a vital role in information recommendation ... -
TOSSIM and distributed binary consensus algorithm in wireless sensor networks
( Academic Press , 2014 , Article Review)In this paper, we present distributed binary consensus algorithm over the wireless sensor networks (WSN) in the presence of faulty nodes. We assume that each fault occurs during the execution of an algorithm on a sensor ... -
Total Variation for Image Denoising Based on a Novel Smart Edge Detector: An Application to Medical Images
( Springer New York LLC , 2019 , Article)In medical imaging applications, diagnosis relies essentially on good quality images. Edges play a crucial role in identifying features useful to reach accurate conclusions. However, noise can compromise this task as it ... -
Toward accountable human-centered AI: rationale and promising directions
( Emerald Group Holdings Ltd. , 2022 , Article Review)Purpose: Along with the various beneficial uses of artificial intelligence (AI), there are various unsavory concomitants including the inscrutability of AI tools (and the opaqueness of their mechanisms), the fragility of ... -
Toward An Intelligent Informative System to Determine Locations Paths in Doha City
( IEEE , 2008 , Conference Paper)Tourists and new comers arriving to Doha city, the capital of Qatar, need always to know about specific locations (i.e., tourist sites, hotels, schools, universities, shopping centers, hospitals, health centres, mosques, ... -
Toward an NLP Approach for Transforming Paper Contracts into Smart Contracts
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference Paper)Identifying and extracting information from contracts is an important task of contract analysis, which is mostly performed manually by lawyers and legal specialists. This manual analysis is a time-consuming, error-prone ... -
Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)Energy consumption has become a significant concern for cloud service providers due to financial as well as environmental factors. As a result, cloud service providers are seeking innovative ways that allow them to reduce ... -
Toward Incentivizing Fog-Based Privacy-Preserving Mobile Crowdsensing in the Internet of Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)In the face of a massive number of vehicular users, a data collection paradigm based on vehicular crowdsensing requires an effective means of attracting participants. Thus, the incentive mechanisms play a key role in ... -
Toward Intelligent Network Optimization in Wireless Networking: An Auto-Learning Framework
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)In wireless communication systems (WCSs), the network optimization problems (NOPs) play an important role in maximizing system performance by setting appropriate network configurations. When dealing with NOPs by using ... -
Toward Reinforcement-Learning-Based Service Deployment of 5G Mobile Edge Computing with Request-Aware Scheduling
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)5G wireless network technology will not only significantly increase bandwidth but also introduce new features such as mMTC and URLLC. However, high request latency will remain a challenging problem even with 5G due to the ... -
Toward Safer Vehicular Transit: Implementing Deep Learning on Single Channel EEG Systems for Microsleep Detection
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Technological interventions are becoming commonplace in everyday vehicles. But utilization of biosignals that can enhance the overall driving experience is still limited. Microsleep is one such issue that needs intervention, ... -
Toward SLAs Guaranteed Scalable VDC Provisioning in Cloud Data Centers
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Cloud computing has been a cost-efficient paradigm for deploying various applications in datacenters in recent years. Therefore, efficient provisioning for virtual data center (VDC) requests from different service providers ... -
Towards a Comprehensive Study of Fatigue Deducing Techniques for Evaluating the Quality of Experience of Haptic-Visual Applications
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)With the advancement of cellular communications and the achievement of 5th Generation (5G) mobile networks, a new class of multimedia systems, refereed to as the Tactile Internet, is becoming more prominent. Consequently, ...