Search Results - "Hasanin, Tawfiq"
-
1
Analysis of Medical Diagnosis Using Double Hierarchical Linguistic Information and Hamacher T-Norms
Published in IEEE access (2024)“…Cancer is a large group of diseases with one thing in common: they all happen when normal cells become cancerous cells that multiply and spread. Almost ten…”
Get full text
Journal Article -
2
Directive transportation in smart cities with line connectivity at distinctive points using mode control algorithm
Published in Scientific reports (02-08-2024)“…This article examines the operational functionality of intelligent transport systems to enhance smart cities by reducing traffic congestion. Given the…”
Get full text
Journal Article -
3
A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
Published in Scientific reports (03-01-2024)“…The Internet of Things (IoT) is extensively used in modern-day life, such as in smart homes, intelligent transportation, etc. However, the present security…”
Get full text
Journal Article -
4
Biomedical Signals for Healthcare Using Hadoop Infrastructure with Artificial Intelligence and Fuzzy Logic Interpretation
Published in Applied sciences (01-05-2022)“…In all developing countries, the application of biomedical signals has been growing, and there is a potential interest to apply it to healthcare management…”
Get full text
Journal Article -
5
Severely imbalanced Big Data challenges: investigating data sampling approaches
Published in Journal of big data (30-11-2019)“…Severe class imbalance between majority and minority classes in Big Data can bias the predictive performance of Machine Learning algorithms toward the majority…”
Get full text
Journal Article -
6
Investigating class rarity in big data
Published in Journal of big data (16-03-2020)“…In Machine Learning , if one class has a significantly larger number of instances (majority) than the other (minority), this condition is defined as class…”
Get full text
Journal Article -
7
Water agricultural management based on hydrology using machine learning techniques for feature extraction and classification
Published in Acta geophysica (01-06-2024)“…For irrigation in agriculture, water is a natural resource. Recycling water use is vital for the sustainable development of ecological environment and for…”
Get full text
Journal Article -
8
Examining characteristics of predictive models with imbalanced big data
Published in Journal of big data (31-07-2019)“…High class imbalance between majority and minority classes in datasets can skew the performance of Machine Learning algorithms and bias predictions in favor of…”
Get full text
Journal Article -
9
Computer Aided Diagnosis for Gastrointestinal Cancer Classification Using Hybrid Rice Optimization With Deep Learning
Published in IEEE access (2023)“…A gastrointestinal disease is a group of cancers which mainly affects the digestive system, along with the stomach, small intestine, oesophagus, rectum, and…”
Get full text
Journal Article -
10
Automated Red Palm Weevil Detection using Gorilla Troops Optimizer with Deep Learning Model
Published in IEEE access (01-01-2023)“…Red palm weevil (RPW) is a pest that can cause severe damage to plantations and affects palm trees. Classical approaches to detection depend on visual…”
Get full text
Journal Article -
11
Evaluation of the Risk of Recurrence in Patients with Local Advanced Rectal Tumours by Different Radiomic Analysis Approaches
Published in Applied bionics and biomechanics (2021)“…The word radiomics, like all domains of type omics, assumes the existence of a large amount of data. Using artificial intelligence, in particular, different…”
Get full text
Journal Article -
12
Efficient Multiuser Computation for Mobile-Edge Computing in IoT Application Using Optimization Algorithm
Published in Applied bionics and biomechanics (2021)“…Mobile edge computing (MEC) is a paradigm novel computing that promises the dramatic effect of reduction in latency and consumption of energy by computation…”
Get full text
Journal Article -
13
Exploration of Despair Eccentricities Based on Scale Metrics with Feature Sampling Using a Deep Learning Algorithm
Published in Diagnostics (Basel) (01-11-2022)“…The majority of people in the modern biosphere struggle with depression as a result of the coronavirus pandemic's impact, which has adversely impacted mental…”
Get full text
Journal Article -
14
Mathematical approach of fiber optics for renewable energy sources using general adversarial networks
Published in Frontiers in ecology and evolution (23-02-2023)“…It is significantly more challenging to extend the visibility factor to a higher depth during the development phase of a communication system for subterranean…”
Get full text
Journal Article -
15
A survey of open source tools for machine learning with big data in the Hadoop ecosystem
Published in Journal of big data (05-11-2015)“…With an ever-increasing amount of options, the task of selecting machine learning tools for big data can be difficult. The available tools have advantages and…”
Get full text
Journal Article -
16
A full privacy-preserving distributed batch-based certificate-less aggregate signature authentication scheme for healthcare wearable wireless medical sensor networks (HWMSNs)
Published in International journal of information security (01-02-2024)“…The dynamic connectivity and functionality of sensors has revolutionized remote monitoring applications thanks to the combination of IoT and wireless sensor…”
Get full text
Journal Article -
17
-
18
Investigating Machine Learning Algorithms with Imbalanced Big Data
Published 01-01-2019“…Recent technological developments have engendered an expeditious production of big data and also enabled machine learning algorithms to produce…”
Get full text
Dissertation -
19
The Effects of Random Undersampling with Simulated Class Imbalance for Big Data
Published in 2018 IEEE International Conference on Information Reuse and Integration (IRI) (01-07-2018)“…With the recent explosion of big data, real-world data are increasingly being affected by larger degrees of class imbalance, likely hindering Machine Learning…”
Get full text
Conference Proceeding -
20
An Empirical Study on Class Rarity in Big Data
Published in 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) (01-12-2018)“…The problem of class imbalance, especially the classification of rare cases, is an important area in machine learning. These rare cases are typically the ones…”
Get full text
Conference Proceeding