Articles - Software Research Institute
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Denoising of Nifti (MRI) images with a regularized neighborhood pixel similarity wavelet algorithm
(MDPI, 2023-09-10)The recovery of semantics from corrupted images is a significant challenge in image processing. Noise can obscure features, interfere with accurate analysis, and bias results. To address this issue, the Regularized ... -
ECE: Exactly-Once-Computation for Collaborative Edge in IoT using Information Centric Networking
(IEEE, 2023-05-11)—Exactly-once data processing/delivery can be guaranteed in traditional big data processing systems, e.g. Apache Flink. Checkpoint is commonly used as the solution. Each operator in these systems can restart from the ... -
Prehensile and non-prehensile robotic pick-and-place of objects in clutter using deep reinforcement learning
(MDPI, 2023-01-29)In this study, we develop a framework for an intelligent and self-supervised industrial pick-and-place operation for cluttered environments. Our target is to have the agent learn to perform prehensile and non-prehensile ... -
Privacy preserved video summarization of road traffic events for IoT smart cities
(MDPI, 2023-02-09)The purpose of smart surveillance systems for automatic detection of road traffic accidents is to quickly respond to minimize human and financial losses in smart cities. However, along with the self-evident benefits of ... -
Big data testing techniques: taxonomy, challenges and future trends
(Tech Science Press, 2022-10-31)Big Data is reforming many industrial domains by providing decision support through analyzing large data volumes. Big Data testing aims to ensure that Big Data systems run smoothly and error-free while maintaining the ... -
SoK: context and risk aware access control for zero trust systems
(Wiley/Hindawi, 2022-06-30)Evolving computing technologies such as cloud, edge computing, and the Internet of )ings (IoT) are creating a more complex, dispersed, and dynamic enterprise operational environment. New security enterprise architectures ... -
An ensemble machine learning method for microplastics identification with FTIR spectrum
(Elsevier, 2022-06-20)Microplastics (MPs) (size < 5 mm) marine pollution have been investigated and monitored by many researchers and found in many coasts around the world. These toxic chemicals make their way into human diet through food ... -
Anomalous distributed traffic: detecting cyber security attacks amongst microservices using graph convolutional networks
(Elsevier, 2022-04-22)Currently, microservices are trending as the most popular software application design architecture. Software organisations are also being targeted by more cyber-attacks every day and newer security measures are in high ... -
A survey of modern deep learning based object detection models
(Elsevier, 2022-06-30)Object Detection is the task of classification and localization of objects in an image or video. It has gained prominence in recent years due to its widespread applications. This article surveys recent developments in deep ... -
Zero-padding and spatial augmentation-based gas sensor node optimization approach in resource-constrained 6G-IoT paradigm
(MDPI, 2022-04-15)Ultra-low-power is a key performance indicator in 6G-IoT ecosystems. Sensor nodes in this eco-system are also capable of running light-weight artificial intelligence (AI) models. In this work, we have achieved high performance ... -
Survey on unmanned aerial vehicle for Mars exploration: deployment use case
(MDPI, 2021-12-22)In recent years, the area of Unmanned Aerial Vehicles (UAVs) has seen rapid growth. There has been a trend to build and produce UAVs that can carry out planetary exploration throughout the past decade. The technology of ... -
Low computational complexity for optimizing energy efficiency in Mm-wave hybrid precoding system for 5G
(IEEE, 2022-01-13)Millimeter-wave (mm-wave) communication is the spectral frontier to meet the anticipated significant volume of high data traffic processing in next-generation systems. The primary challenges in mm-wave can be overcome ... -
GRU-based deep learning approach for network intrusion alert prediction
(Elsevier, 2021-11)The exponential growth in the number of cyber attacks in the recent past has necessitated active research on network intrusion detection, prediction and mitigation systems. While there are numerous solutions available for ... -
Blockchain for decentralized multi-drone to combat COVID-19
(Wiley, 2021-03-17)Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID-19) due to the transport of goods, medical supplies to a given target location in the quarantine areas experiencing an epidemic ... -
Machine learning for smart environments in B5G networks: connectivity and QoS
(Hindawi, 2021-09-20)The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and uncertainty complicate this landscape dramatically and ... -
Delay-based network utility maximization modelling for congestion control in name data networking
(IEEE, 2021-10-05)Content replication and name-based routing lead to a natural multi-source and multipath transmission paradigm in NDN. Due to the unique connectionless characteristic of NDN, current end-to-end multipath congestion control ... -
Blockchain-empowered digital twins collaboration: smart transportation use case.
(2021-09-09)Digital twins (DTs) is a promising technology in the revolution of the industry and essential for Industry 4.0. DTs play a vital role in improving distributed manufacturing, providing up-to-date operational data representation ... -
Industry 4.0 smart reconfigurable manufacturing machines
(Elsevier, 2021-04-07)This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized machine control and machine intelligence. The ... -
A reliable and energy efficient dual prediction data reduction approach to WSNs based on Kalman filter
(Wiley, 2021-07-29)Wireless sensor networks (WSNs) are critically resource-constrained due to wireless sensor nodes' tiny memory, low processing units, power limitations, and narrow communication bandwidth. The data reduction technique is ... -
A low-cost platform for environmental smart farming monitoring system based on IoT and UAVs
(MDPI, 2021-05-24)When integrating the Internet of Things (IoT) with Unmanned Aerial Vehicles (UAVs) occurred, tens of applications including smart agriculture have emerged to offer innovative solutions to modernize the farming sector. This ...
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