Browsing Information Intelligence by Title
Now showing items 47-66 of 98
-
Heteroscedastic ensemble deep random vector functional link neural network with multiple output layers for High Frequency Volatility Forecasting and Risk Assessment
( Elsevier , 2025 , Article)Accurate volatility forecasting is crucial for the efficient management of financial systems. However, the dynamic nature and significant variability in financial time series data pose substantial challenges to achieving ... -
Image Stitching System With Scanning Microscopy for Histopathological Applications
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference)Histopathological analysis of biopsy or surgical specimen is a common clinical practice for diagnostic purposes. Essentially, the process involves slicing the biopsy or surgical sample into very thin slices, placing them ... -
Image stitching system with scanning microscopy for histopathological applications
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)Histopathological analysis of biopsy or surgical specimen is a common clinical practice for diagnostic purposes. Essentially, the process involves slicing the biopsy or surgical sample into very thin slices, placing them ... -
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Hospitals can predetermine the admission rate and facilitate resource allocation based on valid emergency requests and bed capacity estimation. The excess unoccupied beds can be determined with the help of forecasting the ... -
Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
( Elsevier , 2021 , Article)Big data enables the optimization of complex supply chains through Machine Learning (ML)-based data analytics. However, data analytics comes with challenges such as the loss of control and privacy leading to increased risk ... -
Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)In this paper, a classification method is presented using an Fuzzy Inference Engine to detect the incidences of pre-seizures in real/raw Epilepsy data. The system distinguishes between 'Normal', 'Pre-Seizure' and 'Seizure' ... -
An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization
( Elsevier Inc. , 2023 , Article)Many real-life problems can be formulated as numerical optimization problems. Such problems pose a challenge for researchers when designing efficient techniques that are capable of finding the desired solution without ... -
Lightweight KPABE Architecture Enabled in Mesh Networked Resource-Constrained IoT Devices
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Things (IoT) environments are widely employed in industrial applications including intelligent transportation systems, healthcare systems, and building energy management systems. For such environments of highly ... -
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
( Frontiers Media S.A. , 2020 , Article)Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. In this paper, we present ... -
A meta-heuristic algorithm combined with deep reinforcement learning for multi-sensor positioning layout problem in complex environment
( Elsevier , 2025 , Article)In a multi-sensor positioning system (MSPS), the layout of sensors plays a crucial role in determining the system’s performance. Therefore, addressing the sensor layout problem (SLP) within the MSPS is an essential approach ... -
MLP Neural Network Based Gas Classification System on Zynq SoC
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Systems based on wireless gas sensor networks offer a powerful tool to observe and analyze data in complex environments over long monitoring periods. Since the reliability of sensors is very important in those systems, gas ... -
Monitoring DVT cuffs for long-term operation: A fuzzy approach
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)Stroke patients, as well as all those patients who are bed-bound for a long period of time are highly susceptible to deep vein thrombosis (DVT) as secondary complexity. DVT poses more dangers of a loose blood clot obstructing ... -
Multi-Objective Security Hardening Optimisation for Dynamic Networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Hardening the dynamic networks is a very challenging task due to their complexity and dynamicity. Moreover, there may be multi-objectives to satisfy, while containing the solutions within the constraints (e.g., fixed budget, ... -
Optimal sizing of a stand-alone hybrid PV-WT-BT system using artificial intelligence based technique
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Nowadays, conventional energy system is being replaced by renewable energy system. Especially, PV systems and wind energy systems are gaining much attention due to their future sustainability and eco-friendly nature. ... -
Optimizing Energy-Distortion Trade-off for Vital Signs Delivery in Mobile Health Applications
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Healthcare is considered a top priority worldwide, considering the swift increase in the number of chronic patients who require continuous monitoring. This motivates the researchers to develop scalable remote health ... -
Paillier's encryption: Implementation and cloud applications
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)Paillier's additive homomorphic encryption is increasingly used in recent research in the field of cloud secure outsourcing and privacy-preserving computation in addition to other cryptographic tools such as garbled circuits. ... -
Parallelizing exact motif finding algorithms on multi-core
( Springer Science+Business Media , 2014 , Article)The motif finding problem is one of the important and challenging problems in bioinformatics. A variety of sequential algorithms have been proposed to find exact motifs, but the running time is still not suitable due to ... -
Performance Evaluation of No-Pairing ECC-Based KPABE on IoT Platforms
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Internet of Things (IoT) networks operating in lightweight resource-constrained devices have been growing constantly in a wide range of areas. Such networks collect sensitive information over time that represent the users' ... -
Prediction of infarction volume and infarction growth rate in acute ischemic stroke
( Nature Publishing Group , 2017 , Article)The prediction of infarction volume after stroke onset depends on the shape of the growth dynamics of the infarction. To understand growth patterns that predict lesion volume changes, we studied currently available models ... -
Proportionally fair approach for tor's circuits scheduling
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)The number of users adopting Tor to protect their online privacy is increasing rapidly. With a limited number of volunteered relays in the network, the number of clients' connections sharing the same relays is increasing ...
