Browsing Computer Science & Engineering by Publisher "Elsevier"
Now showing items 21-40 of 89
-
Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound
( Elsevier , 2023 , Article)Since the brain is unlike any other organ in that it cannot store energy and has a high metabolic demand, constant blood flow is essential for healthy brain function. The maximum flow velocity waveform that is produced by ... -
Deep learning-based multi-task prediction system for plant disease and species detection
( Elsevier , 2022 , Article)The manual prediction of plant species and plant diseases is expensive, time-consuming, and requires expertise that is not always available. Automated approaches, including machine learning and deep learning, are increasingly ... -
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
( Elsevier , 2022 , Article Review)As the globally increasing population drives rapid urbanization in various parts of the world, there is a great need to deliberate on the future of the cities worth living. In particular, as modern smart cities embrace ... -
Digital forensic analysis for source video identification: A survey
( Elsevier , 2022 , Article Review)In recent years, many digital devices have been equipped with a video camera that allows videos to be recorded in good quality, free of charge and without restrictions. Concurrently, the widespread use of digital videos ... -
Distributed algorithms in wireless sensor networks: An approach for applying binary consensus in a real testbed
( Elsevier , 2015 , Article)In this work, we realize the binary consensus algorithm for use in wireless sensor networks. Binary consensus is used to allow a collection of distributed entities to reach consensus regarding the answer to a binary question ... -
The Economic Impact of Optimizing a COVID-19 Management Protocol in Pre-Existing Cardiovascular Disease Patients
( Elsevier , 2022 , Article)This study answers the question of whether the health care costs of managing COVID-19 in preexisting cardiovascular diseases (CVD) patients increased or decreased as a consequence of evidence-based efforts to optimize the ... -
Enclave-based oblivious RAM using Intel's SGX
( Elsevier , 2020 , Article)Oblivious RAM (ORAM) schemes exist in order to protect the access pattern of data in a data store. Under an ORAM algorithm, a client accesses a data store in such a way that does not reveal which item it is interested in. ... -
Enhanced computer vision applications with blockchain: A review of applications and opportunities
( Elsevier , 2023 , Article)Videos and image processing have significantly transformed computer vision, enabling computers to analyse, and manipulate visual data. The proliferation of cameras and IR equipment has facilitated the collection of valuable ... -
Enhancing medical named entity recognition with an extended segment representation technique
( Elsevier , 2015 , Article)Objective: The objective of this paper is to formulate an extended segment representation (SR) technique to enhance named entity recognition (NER) in medical applications. Methods: An extension to the IOBES (Inside/Outsi ... -
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
( Elsevier , 2022 , Article Review)With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical applications like healthcare, the questions about liability, trust, and interpretability of their outputs are raising. The ... -
Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
( Elsevier , 2023 , Article)Dysgraphia is a type of learning disorder that affects children’s writing skills. Poor writing skills can obstruct students’ academic growth if it is undiagnosed and untreated properly in the early stages. The irregularity ... -
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
( Elsevier , 2021 , Article)Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the healthcare system. Chest ... -
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
( Elsevier , 2022 , Article)Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ... -
Full-Scale Seawater Reverse Osmosis Desalination Plant Simulator
( Elsevier , 2020 , Conference Paper)Reverse Osmosis (RO) is an evolving membrane-based technology for water desalination that started to gain increased popularity in the light of the increased global water demand due its high efficiency and low carbon ... -
Fuzzy Logic in neurosurgery: predicting poor outcomes after lumbar disk surgery in 501 consecutive patients
( Elsevier , 2009 , Article)Background: Despite a lot of research into patient selection, a significant number of patients fail to benefit from surgery for symptomatic lumbar disk herniation. We have used Fuzzy Logic-based fuzzy inference system (FIS) ... -
Garbled computation in cloud
( Elsevier , 2016 , Article)With the wide adoption of cloud computing paradigm, it is important to develop appropriate techniques to protect client data privacy in the cloud. Encryption is one of the major techniques that could be used to achieve ... -
Garbled computation in cloud
( Elsevier , 2016 , Article)With the wide adoption of cloud computing paradigm, it is important to develop appropriate techniques to protect client data privacy in the cloud. Encryption is one of the major techniques that could be used to achieve ... -
Generative emotional AI for speech emotion recognition: The case for synthetic emotional speech augmentation
( Elsevier , 2023 , Article)Despite advances in deep learning, current state-of-the-art speech emotion recognition (SER) systems still have poor performance due to a lack of speech emotion datasets. This paper proposes augmenting SER systems with ... -
Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphone
( Elsevier , 2024 , Article)Over the last decade, videos uploaded and shared through web-based multimedia platforms and mobile applications have proliferated worldwide. This is because cloud-based applications such as iCloud, YouTube, Facebook, ... -
How circular economy can reduce scope 3 carbon footprints: Lessons learned from FIFA world cup Qatar 2022
( Elsevier , 2023 , Article)Mega sporting events (MSEs) such as the FIFA World Cup and the Olympics always attract people around the world to visit the hosting country, boosting its tourism and business, and leaving a positive legacy. However, such ...