Browsing Computer Science & Engineering by Title
Now showing items 1452-1471 of 2211
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A multiple-kernel clustering based intrusion detection scheme for 5G and IoT networks
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)The 5G network provides higher bandwidth and lower latency for edge IoT devices to access the core business network. But at the same time, it also expands the attack surface of the core network, which makes the enterprise ... -
Multispectral biopsy image based colorectal tumor grader
( Springer Verlag , 2017 , Conference Paper)Automated tumor cell grading systems have an immense potential in improving the speed and accuracy of cancer diagnostic procedures. It can boost the confidence level of pathologists who perform the manual assessment of ... -
Multispectral image denoising using optimized vector NLM filter
( Springer Verlag , 2016 , Conference Paper)In this paper, we present a Stein's Unbiased Risk Estimator (SURE) approach for Non-Local Mean filter to denoise multispectral images. We extend this filter to the vector case in order to take advantage from the additional ... -
Multispectral image denoising with optimized vector non-local mean filter
( Elsevier Inc. , 2016 , Article)Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it ... -
Multispectral imaging and machine learning for automated cancer diagnosis
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Advancing technologies in the current era paved a lot to break the hurdles in medical diagnostic field. When cancer turned out to be the most common and dangerous disease of the age, novel diagnostic methodologies were ... -
Multispectral palmprint recognition based on local binary pattern histogram fourier features and gabor filter
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Fusing multiple features within one biometric modality has attracted increasing attention and interest among researchers during recent decades because the concept is useful in addressing a wide range of real world problems. ... -
Multiview topological data analysis for crowdsourced service supply-demand gap prediction
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)The widespread of smart devices equipped with high sensing capabilities opened the door to the new paradigm of mobile crowdsourcing. This paradigm relies on the crowd contribution and participation to collect data and ... -
Named Entity Disambiguation using Hierarchical Text Categorization
( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)Named entity extraction is an important step in natural language processing. It aims at finding the entities which are present in text such as organizations, places or persons. Named entities extraction is of a paramount ... -
Natural fault tolerance in the context of a goal oriented software design
(2013 , Conference Paper)A particular goal oriented software design is proposed in this paper: by checking the preservation of critical information, an original proposed program structure has the important property to naturally recover transient ... -
Navigation and Obstacle Avoidance System in Unknown Environment
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Recently, drones have been used in many different applications such as search and rescue operations, extinguishing fires, and environment mapping. As the number of moving drones increases in the sky, the collisions risk ... -
Neighbourhood oriented TDMA scheme for the internet of things-enabled remote sensing
( Taylor and Francis Ltd. , 2023 , Article)Throughout the world, Internet of Things (IoT) have been used in different application areas to assist human beings in numerous activities such as smart buildings and cities via remote sensing-enabled techniques. However, ... -
Network association with dynamic pricing over D2D-enabled heterogeneous networks
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)The growing trend of networks densification has motivated integrating the Device-to-Device (D2D) communication with the dense heterogeneous networks in order to face the intense demand of high data rates and enhance network ... -
Network function virtualization scheduling with transmission delay optimization
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)To accelerate the implementation of network functions/middle boxes and reduce the deployment cost, recently the concept of Network Function Virtualization (NFV) has emerged and became a topic of much interest attracting ... -
Network Slicing for 5G: Challenges and Opportunities
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Network slicing for 5G provides Network-as-a-Service (NaaS) for different use cases, allowing network operators to build multiple virtual networks on a shared infrastructure. With network slicing, service providers can ... -
Neural network conditional random fields for self-paced brain computer interfaces
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)The task of classifying EEG signals for self-paced Brain Computer Interface (BCI) applications is extremely challenging. This difficulty in classification of self-paced data stems from the fact that the system has no clue ... -
Neuro-fuzzy analytics in athlete development (NueroFATH): a machine learning approach
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)Athletes represent the apex of physical capacity filling in a social picture of performance and build. In light of the fundamental contrasts in athletic capacities required for different games, each game demands an alternate ... -
Neuro-fuzzy classifier for corneal nerve images
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Alterations in the corneal nerves have been associated with changes in the neuropathy condition of a patient suffering from chronic diseases. A corneal confocal microscope provides a non-invasive way to capture a series ... -
NeuroTrust - Artificial-Neural-Network-Based Intelligent Trust Management Mechanism for Large-Scale Internet of Medical Things
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Medical Things (IoMT) provides a diverse platform for healthcare to enhance the accuracy, reliability, and efficiency. In addition, it utilizes the productivity of available equipment to improve patients' health. ... -
A new approach of clustering based machine-learning algorithm
( Elsevier B.V. , 2005 , Article)Machine-learning research is to study and apply the computer modeling of learning processes in their multiple manifestations, which facilitate the development of intelligent system. In this paper, we have introduced a ... -
A new construction technique of a triangle-free 3-colored K16’s
( Elsevier Inc , 2006 , Article)In this paper, we propose a new coloring technique of the edges of the complete graph on 16 vertices, K16, with three different colors, without producing any monochromatic triangle. This method is totally different from ...
