تصفح KINDI Center for Computing Research حسب العنوان
السجلات المعروضة 69 -- 88 من 164
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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 ... -
Graph ensemble deep random vector functional link network for traffic forecasting
(2022 , Article)Traffic forecasting is crucial to achieving a smart city as it facilitates public transportation management, autonomous driving, and the resource relocation of the sharing economy. Traffic forecasting belongs to the ... -
Green operator cooperation for radio frequency transmission minimization
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)The increasing demand for reliable mobile services with faster communications speed requires high capital investment in the radio access networks. This leads to enormous energy consumption, high operational costs (OPEX), ... -
Group owner election in Wi-Fi direct
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Wi-Fi Direct is a new protocol that standardizes the direct communication between Wi-Fi enabled mobile devices without requiring an access point. The specification proposes enhanced peer-to-peer functions to be supported ... -
Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The collaboration of drones and trucks for last-mile delivery has attracted much attention. In this paper, we address a collaborative routing problem of the truck-drone system, in which a truck collaborates with multiple ... -
Image stitching system with scanning microscopy for histopathological applications
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)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
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)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 Paper)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' ... -
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications
( National Science Foundation , 2022 , Other)Artificial Intelligence (Al) and its data-centric branch of machine learning (ML) have greatly evolved over the last few decades. However, as Al is used increasingly in real world use cases, the importance of the ... -
Intrusion Detection System for Healthcare Systems Using Medical and Network Data: A Comparison Study
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Introducing IoT systems to healthcare applications has made it possible to remotely monitor patients' information and provide proper diagnostics whenever needed. However, providing high-security features that guarantee the ... -
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 ... -
Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
( Elsevier Ltd , 2022 , Article)Randomized neural networks have become more and more attractive recently since they use closed-form solutions for parameter training instead of gradient-based approaches. Among them, the random vector functional link network ... -
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 ... -
Machine learning for the security of healthcare systems based on Internet of Things and edge computing
( Elsevier , 2022 , Book chapter)Using the Internet of Medical Things (IoMT) for treatment and diagnosis has exponentially grown due to its diverse use cases and efficient planning with defined resources. IoMT in the e-healthcare system enables continuous ... -
Minimizing energy consumption of IoT devices for O-RAN based IoT systems
( Elsevier , 2023 , Article)The implementation of Open Radio Access Network (O-RAN) architecture in Internet of Things (IoT) systems has garnered significant attention as a means to fulfill the stringent requirements of ultra-low latency and ultra-low ... -
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)A teacher in a school plays significant role in classroom while teaching the students. Similarly, learning via privileged information (LUPI) gives extra information generated by a teacher to 'teach' the learning algorithm ... -
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 Paper)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 ...