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Volume 80, Issue 11Jul 2024
Publisher:
  • Kluwer Academic Publishers
  • 101 Philip Drive Assinippi Park Norwell, MA
  • United States
ISSN:0920-8542
Reflects downloads up to 17 Oct 2024Bibliometrics
research-article
Completely independent spanning trees in Eisenstein-Jacobi networks
Abstract

Two spanning trees T1 and T2 are called completely independent if there is a path P1T1 from the root node r1T1 to a certain node u that is disjoint with other path P2T2 from the root node r2T2 to a certain node u, where r1r2. Completely ...

research-article
Split-bucket partition (SBP): a novel execution model for top-K and selection algorithms on GPUs
Abstract

Top-K and selection operations are critical in data processing and analysis, and their efficient implementation on GPUs is increasingly important due to the growing demands of data analysis. Existing methods, primarily relying on the bucket ...

research-article
Dual experience replay-based TD3 for single intersection signal control
Abstract

Compared to traditional traffic signal control methods, the method driven by Deep Reinforcement Learning (DRL) has shown better performance. But the problem of low sample utilization in reinforcement learning also arises. To deal with the problem, ...

research-article
An edge detection algorithm based upon the adaptive multi-directional anisotropic gaussian filter and its applications
Abstract

Edge detection is essential to comprehend and analyze high-resolution remote sensing images. The Gaussian filter is widely used for image preprocessing prior to edge detection. However, some weak edge points in the images with low gradient values ...

research-article
A lightweight deep learning model for acute myeloid leukemia-related blast cell identification
Abstract

Leukemia is a severe blood disorder that poses a threat to the life and well-being of patients. Accurate diagnosis of leukemia typing is crucial for treatment and prognosis. However, manual diagnosis requires significant resources and is subject ...

research-article
Wind farm layout optimization using adaptive equilibrium optimizer
Abstract

The layout optimization of wind turbines seeks to improve wind power conversion efficiency by minimizing the wake effect in wind farm. However, the existing optimization methods cannot provide a layout with high output power due to their inability ...

research-article
Mellin transform-based D2D power optimization in 5G-enabled social IoT network
Abstract

One of the main sources of information dissemination is social networks. Changes in social and Internet of Things (IoT) relationships can affect the quality of service (QoS) of device-to-device (D2D) communication in fifth-generation (5G) ...

research-article
A migration strategy based on cluster collaboration predictions for mobile edge computing-enabled smart rail system
Abstract

As an important part of modern transportation, smart rail system need to handle a large number of delay-sensitive and task-intensive tasks in a high-speed mobile state. However, high-speed mobility challenges the traditional information processing ...

research-article
Secure symbol-level precoding for reconfigurable intelligent surface-aided cell-free networks
Abstract

With the improvement in communication network density, inter-cell interference has become severe. Due to the blurring of boundaries, cell-free networks are considered as a solution. However, it faces some challenges, such as high energy ...

research-article
Credit-based energy trading system using blockchain and machine learning
Abstract

In peer-to-peer (P2P) energy trading, members locally trade energy. Blockchain-based systems are employed for the above trading. These systems are limited in speed because of the time required in the consensus process to audit and verify ...

research-article
CBGA: A deep learning method for power grid communication networks service activity prediction
Abstract

The prediction of power equipment activity plays a vital role in optimizing power resource dispatch, ensuring supply and demand balance, and guiding network planning and management. However, due to the complex nonlinear, multi-scale, and ...

research-article
Particle swarm optimization and FM/FM/1/WV retrial queues with catastrophes: application to cloud storage
Abstract

The cloud storage service, known for its flexible and expandable nature, often has difficulties managing operating costs while ensuring dependable service and quick response times. This investigation presents a novel approach to optimizing cost ...

research-article
Optimal UAV deployment with star topology in area coverage problems
Abstract

UAVs in most real-world deployments communicate with a ground control station either in a one-hop manner, which has a limited working range, or relies on infrastructure support such as satellite communication, which is expensive. Although multi-...

research-article
Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma
Abstract

Glaucoma is an eye disease that spreads over time without showing any symptoms at an early age and can result in vision loss in advanced ages. The most critical issue in this disease is to detect the symptoms of the disease at an early age. ...

research-article
Training with One2MultiSeq: CopyBART for social media keyphrase generation
Abstract

Keyphrase generation, which can help people obtain key information from a long document (social media posts or scientific articles) in a short time, has made significant progress in recent years, especially for training by concatenating keyphrases ...

research-article
Brain hyperintensities: automatic segmentation of white matter hyperintensities in clinical brain MRI images using improved deep neural network
Abstract

White matter hyperintensities (WMH) are commonly found in the brains of healthy elderly individuals and have been associated with various neurological and geriatric disorders. Automatic WMH segmentation is essential for evaluating the natural ...

research-article
Energy-aware application mapping methods for mesh-based hybrid wireless network-on-chips
Abstract

The 2D mesh topology-based Network-on-Chip (NoC) is a prevalent structure in System-on-Chip (SoC) designs, offering implementation and fabrication benefits. However, increased NoC scale leads to longer communication paths, more hops, and higher ...

research-article
A sentiment analysis model based on dynamic pre-training and stacked involutions
Abstract

Sentiment analysis is one of the core tasks in natural language processing, and its main goal is to identify and classify the sentiment tendencies contained in texts. Traditional sentiment analysis methods and shallow models often fail to capture ...

research-article
LMGU-NET: methodological intervention for prediction of bone health for clinical recommendations
Abstract

Osteoporosis (OP) is a bone-related ailment that aggravates owing to the decline in bone mineral density (BMD) or during deviations in the structure or quality of bone that may surge to fractures. The low BMD can be recognized from computed ...

research-article
e-Diagnostic system for diabetes disease prediction on an IoMT environment-based hyper AdaBoost machine learning model
Abstract

One of the most fatal and serious diseases that humans have encountered is diabetes, an illness affecting thousands of individuals yearly. In this era of digital systems, diabetes prediction based on machine learning (ML) is gaining high momentum. ...

research-article
Two-level content-based mammogram retrieval using the ACR BI-RADS assessment code and learning-driven distance selection
Abstract

Content-based mammogram retrieval (CBMR) is an effective approach to assist radiologists in diagnosing patients’ mammograms. Indeed, by studying the similar cases to diagnostic prone one, which are retrieved from a dataset containing other ...

research-article
ROVM integrated advanced machine learning-based malaria prediction strategy in Tripura
Abstract

Malaria is a deadly disease that can take a person's life if not predicted or cured correctly. Numerous factors like temperature, humidity, precipitation, etc., impact India's increasing cases of malaria diseases. This research presents an ...

research-article
Robust enhanced collaborative filtering without explicit noise filtering
Abstract

Graph convolutional neural networks have been successfully applied to collaborative filtering to capture high-quality user-item representations. Despite their remarkable performance, there are still limitations that hinder further improvement of ...

research-article
Fault-tolerant basis of generalized fat trees and perfect binary tree derived architectures
Abstract

The ability to uniquely identify all nodes in a network based on network distances has proven to be highly beneficial despite the computational challenges involved in discovering minimal resolving sets within an interconnection network. A subset R ...

research-article
Analyzing FOSS license usage in publicly available software at scale via the SWH-analytics framework
Abstract

The Software Heritage (SWH) dataset represents an invaluable source of open-source code as it aims to collect, preserve, and share all publicly available software in source code form ever produced by humankind. Although designed to archive ...

research-article
CryptoHHO: a bio-inspired cryptosystem for data security in Fog–Cloud architecture
Abstract

The exponential growth of Internet-of-Things (IoT) has raised several data security risks to the Fog–Cloud architecture. The performance and the computation cost of security algorithms hinder providing a secure real-time environment for IoT. This ...

research-article
Optimization of uncertain dependent task mapping on heterogeneous computing platforms
Abstract

Dependent tasks are typically modeled using directed acyclic graphs (DAGs), and scheduling algorithms based on DAGs have been extensively researched. Most of the existing algorithms assume that the task or communication duration is deterministic. ...

research-article
Approximate bilateral filters for real-time and low-energy imaging applications on FPGAs
Abstract

Bilateral filtering is an image processing technique commonly adopted as intermediate step of several computer vision tasks. Opposite to the conventional image filtering, which is based on convolving the input pixels with a static kernel, the ...

research-article
Fog-Marketing: auction-based multi-tier decentralized markets for fog resource provisioning
Abstract

The emergence of a new generation of applications such as the Internet of Things, Artificial Intelligence, and 5G has brought fog computing as cloud development toward the edge network. It is done by adding an extra layer of resources to meet low ...

research-article
Construction and analysis of students’ physical health portrait based on principal component analysis improved Canopy-K-means algorithm
Abstract

With the advancement of society and the improvement of living standards, the significance of students’ physical health has become increasingly prominent. However, currently, the assessment and analysis of students’ physical health heavily depend ...

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