A5018795249- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- Anomaly Detection Techniques and Applications
- Metaheuristic Optimization Algorithms Research
- AI in cancer detection
- Educational Technology and Assessment
- Machine Learning and Data Classification
- Leaf Properties and Growth Measurement
- Radiomics and Machine Learning in Medical Imaging
- Image Processing and 3D Reconstruction
- Smart Agriculture and AI
- Internet Traffic Analysis and Secure E-voting
- COVID-19 diagnosis using AI
- Greenhouse Technology and Climate Control
Iraq University College
2024
University of Sfax
2024
Diponegoro University
2024
Edinburgh Napier University
2024
Taibah University
2024
University of Manchester
2024
Gachon University
2024
University of Al-Qadisiyah
2019-2022
A substantial fraction of agricultural produce loss can be attributed to plant diseases; yield have far-reaching consequences for a country's economy and contribute global food insecurity. Early detection diseases instrumental in maintaining health welfare. pathologist's visual evaluation is typically used make an early diagnosis diseases. This technique involves experts or farmers examining plants with the naked eye classifying disease depending on their previous experience. conventional...
Advanced application of Artificial Intelligence in the techniques isrelated to Convolutional Neural Networks (CNNs), Residual (ResNets), and Vision Transformers (ViTs) through deep learning as ways enriching image recognition. The investigation, therefore focuses on how efficient are AI models toward robustness, accuracy, efficiency at tackling real problems. Data pre-processing including normalization augmentation applied CIFAR-10 dataset which is well-structured maintains a constant 32x32...
The advancement of communication and internet technology has brought risks to network security. Thus, Intrusion Detection Systems (IDS) was developed combat malicious attacks. However, IDSs still struggle with accuracy, false alarms, detecting new intrusions. Therefore, organizations are using Machine Learning (ML) Deep (DL) algorithms in IDS for more accurate attack detection. This paper provides an overview IDS, including its classes methods, the detected attacks as well dataset, metrics,...
The features selection is one of the data mining tools that used to select most important a given dataset. It contributes save time and memory during handling According these principles, we have proposed method based on mixing two metaheuristic algorithms Binary Particle Swarm Optimization Genetic Algorithm work individually. K-Nearest Neighbour (K-NN) as an objective function evaluate algorithm. Dual Heuristic Feature Selection (DHFS) test, compared with 26 well-known datasets UCI machine...
With the progression and sophistication of technology, frequency intricacy cyber-attacks also escalate. Malicious hackers cybercriminals are perpetually devising novel techniques to infiltrate computer systems steal vital data illicitly. To tackle these risks, organizations must deploy efficient Intrusion Detection Systems (IDSs) detect respond attacks promptly. In recent times, IDSs have garnered considerable interest due their efficacy accuracy in identifying anomalous patterns network...
Millions of people have died worldwide as a result the Covid-19 epidemic, which began in December 2019. We design method precisely and quickly diagnosing patient to lessen severity. begin by collecting chest X-ray dataset, after we develop various models utilizing Machine Learning (ML) Deep (DL) approaches, primarily Convolutional Neural Networks (CNN). The algorithms question include K-nearest neighbor (K-NN), Random Forest (RF), VGG19, ResNet, DenseNet121, InceptionV3, Xception, name few....