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Analysis of channel capacity for UWB antenna for improvements in the data rates and low Power transmission over wireless application
Multiple input- Multiple output- Ultra-wideband (MIMO-UWB) is a wireless communication approach that combines multiple antennas at the transmitter...
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A signcryption with identity-based authentication for secure EHR sharing in IoMT utilizing ECC
Due to real-time data sharing in the Internet of Medical Things (IoMT), the healthcare sector has evolved significantly in recent years. However,...
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A nonlinear optimal control approach for 3-DOF four-cable driven parallel robots
In this article, a nonlinear optimal control approach is proposed for the dynamic model of 3-DOF four-cable driven parallel robots (CDPR). To solve...
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An enhanced QoS approach for multi-objective optimization using social spider optimization 5G enable IoMT network
Social Spider Optimization (SSO) is a swarm algorithm, based on the mating and cooperating behaviour of social spiders. This approach is basically...
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Enhancing Oyente: four new vulnerability detections for improved smart contract security analysis
Enhancing the security analysis of smart contracts, particularly in Ethereum, by extending the widely used Oyente tool is the main objective of this...
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Advancing personal identity verification by integrating facial recognition through deep learning algorithms
This research delves into the realm of facial recognition technology, leveraging the power of convolutional neural network (CNN) to enhance personal...
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An optimal feature subset selection technique to improve accounting information security for intrusion detection systems
The goal of an intrusion detection system (IDS) is to secure data on the network by monitoring the flow of traffic and identifying malicious users....
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A novel IMW-mrmr feature selection approach for early detection of hypertension with HRV analysis
In the absence of control measures, hypertension poses a major threat to the world’s population’s health and can quickly develop into vascular...
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An empirical cryptocurrency price forecasting model
The goal of this manuscript is to use deep learning based multi-modal hybrid model to forecast the value of bitcoins by analyzing the influence of...
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Analyzing psychological information using lattice hydrodynamic model coupled with electronic throttle control
Electronic throttle control (ETC), a mechanism for precise regulation of engine power and torque production, is a typical component in modern...
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Secure SSI framework using the optimized Orkey identity schema
In the era of digital transformation and increasing concerns regarding data privacy, the concept of Self-Sovereign Identity (SSI) has attained...
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A novel and optimized IoT –ML based plant classification, monitoring and prediction system
With the increasing demand for modern technologies and automation, there is a need to maintain plants by adopting such modern automated technologies....
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Sustainable augmented framework using smart sensors with ATM inspired 5G technologies for enterprise networks
The primary driving force behind the development of fifth-generation (5G) applications is the necessity of Concurrent Multipath Transfer (CMT)....
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Grey wolf optimization-based fractional MPPT for enhancing performance and efficiency of photovoltaic systems
The photovoltaic (PV) cell is used to transform solar energy into electrical energy which is utilized by us. However, the amount of received solar...
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Evidential uncertainty sampling strategies for active learning
Recent studies in active learning, particularly in uncertainty sampling, have focused on the decomposition of model uncertainty into reducible and...
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Verifying a Sequent Calculus Prover for First-Order Logic with Functions in Isabelle/HOL
We describe the design, implementation and verification of an automated theorem prover for first-order logic with functions. The proof search...
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THC-DFECC-based privacy preserved smart contract creation for cloud data security
Currently, cloud services have become a novel business model for information services owing to the rapid development of Cloud Computing (CC)...
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Assessing radiographic findings on finger X-rays using an enhanced deep learning approach
The human upper extremity, which includes the shoulder, humerus, elbow, forearm, wrist, hand, and fingers, demonstrates incredible biological...
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Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization
Vertical Federated Learning (VFL) is gaining increasing attention due to its ability to enable multiple parties to collaboratively train a...