Search
Search Results
-
Diagnosing Dementia Disorder Detection Using an Improved Eliminate Particle Swarm Optimization (IEPSO) Based on Convolutional Neural Networks
Dementia is an un-repairable and continuous disease that affects a person's mental health. Symptoms of Dementia may vary from one person to another,...
-
Challenges to Applying Role Playing in Software Engineering Education: A Taxonomy Derived from a Rapid Literature Review
Role Playing (RP) serves as an instructional approach to enrich the learning experience for students and boost their learning by the effective...
-
AN efficient deep learning with an optimization framework to analyse the eeg signals
Electroencephalogram (EEG) signals can offer a mode to communicate with the humans and outside world. Also, the human brain is negatively affected...
-
Prompt-optimized self-supervised double-tower contextualized topic model
Microblog has a large amount of data and is updated quickly with current events. Unsupervised machine learning models are used for the topic...
-
FLBC-IDS: a federated learning and blockchain-based intrusion detection system for secure IoT environments
The development of the Internet of Things (IoT) in multiple sectors has led to substantial security issues due to its decentralized structure and...
-
Early Diagnosis of COVID-19 Disease by ChestNet Convolutional Neural Network from Chest Xray Images
In the absence of a vaccine, prompt isolation and medical care are necessary to prevent and contain the COVID-19 pandemic. This requires a quick and...
-
Cleaning ECG with Deep Learning: A Denoiser Tested in Industrial Settings
As the popularity of wearables continues to scale, a substantial portion of the population has now access to (self-)monitorization of cardiovascular...
-
Neural Networks and the Nonlinear Feynman–Kac Theorem Applied to Financial Options Pricing
The classic financial market model proposed by Black and Scholes allows solving, under a series of simplifying assumptions, the problem of valuing...
-
Exploring behaviours of RESTful APIs in an industrial setting
A common way of exposing functionality in contemporary systems is by providing a Web-API based on the REST API architectural guidelines. To describe...
-
Vision transformer based convolutional neural network for breast cancer histopathological images classification
Breast cancer (BC) is a widespread and lethal cancer affecting women world- wide. Early diagnosis plays a pivotal role in ensuring survival, as late...
-
Blind Color Image Watermarking Using Deep Artificial Neural Network Using Statistical Features
With increasing digital content over the internet it is very important to secure the digital contents in such a way that the identity and integrity...
-
A new image encryption approach that uses an improved Hill-Vigenère method and chaotic maps
Image encryption is an interesting field of research that is an adequate solution to ensure the safety and security of private information from...
-
SKGDC: Effective Segmentation Based Deep Learning Methodology for Banana Leaf, Fruit, and Stem Disease Prediction
In agriculture, detecting plant diseases is crucial for optimal plant growth. Initially, input images are collected from three datasets: banana leaf...
-
Short-term POI recommendation with personalized time-weighted latent ranking
In this paper, we formulate a novel Point-of-interest (POI) recommendation task to recommend a set of new POIs for visit in a short period following...
-
An Experimental Evaluation of Summarisation-Based Frequent Subgraph Mining for Subgraph Searching
The subgraph searching is a fundamental operation for the analysis and exploration of graphs. Nowadays, molecular databases are nearing close to one...
-
Hybridized soccer league-grey wolf Optimization algorithm and siamese network synergism based multimodal fusion scheme for prognosis of brain diseases
This study proposes a novel multi-stage multimodal image fusion approach for consolidating information from images into single scene by leveraging...
-
Differentially processed optimized collaborative rich text editor
A collaborative real-time text editor is an application that allows multiple users to edit a document simultaneously and merge their contributions...
-
Predicting Apple Plant Diseases in Orchards Using Machine Learning and Deep Learning Algorithms
Apple cultivation in the Kashmir Valley is a cornerstone of the region’s agriculture, contributing significantly to the economy through substantial...
-
A Game-Based Cognitive Intervention for Young Learners with Reading Difficulties
The study’s primary contribution is a game-based cognitive intervention tool for young learners with reading difficulties. The second contribution is...
-
Integrated multi-view modeling for reliable machine learning-intensive software engineering
Development of machine learning (ML) systems differs from traditional approaches. The probabilistic nature of ML leads to a more experimentative...
