Changes in the burden and underlying causes of heart failure in the Eastern Mediterranean Region, 1990–2019: an analysis of the Global Burden of Disease Study 2019 حسب Razieh, Hassannejad

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Positional and dimensional temporomandibular joint osseous changes in patients treated with the forsus fatigue resistant device: a non-randomized clinical trial حسب Ramy Abdul-Rahman Ishaq (22928974)

"…In the treatment group, condylar width decreased significantly by 0.52 ± 0.92 mm, in contrast to an increase of 0.17 ± 0.35 mm in the control group (<i>P</i> = 0.010). …"

Using XAI Techniques to Detect Targeted Data Poisoning Attacks on Healthcare Applications of Machine Learning Systems حسب Eyad Dhaher Megdadi

"…Data poisoning attacks, which manipulate training datasets to influence model behaviour, pose a significant threat to the reliability and effectiveness of these systems. …"
احصل على النص الكامل

A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection حسب Younes Akbari (16303286)

"…<p>Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. …"

Towards cleaner waters: Advancing pollutant detection with artificial intelligence-assisted digital in-line holographic microscopy حسب R. Rarima (22927237)

"…<p>Rapid urbanization and population growth have raised significant concerns about water quality in the environment. …"

Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning حسب Zaib Akram (22224541)

"…This cancer is often detected through imaging techniques and poses significant challenges due to its potential to metastasize and vary in treatment response. …"

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm حسب Prabu Selvam (22330264)

"…This study introduces an improved PCB defect detection model, YOLO-DefXpert, using the YOLOv11 algorithm to address the low accuracy and efficiency challenges in detecting tiny-sized defects on PCBs. …"

Modified Aquila Optimizer Feature Selection Approach and Support Vector Machine Classifier for Intrusion Detection System حسب Abualigah, Laith

"…Consequently, the demand for a robust Intrusion Detection System (IDS) has surged. The IDS serves as a critical bastion within the security framework, a significance further magnified in wireless networks where intrusions may stem from the deluge of sensor data. …"
احصل على النص الكامل

MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection حسب Sui Paul Ang (18460605)

"…Hence, an optimized deep neural network (DNN) for pedestrian lane detection is required. Designing a DNN from scratch is a laborious task that requires significant experience and time. …"

This is not new! Spotting previously-verified claims over Twitter حسب Watheq, Mansour

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Impact of staying at home measures during COVID-19 pandemic on the lifestyle of Qatar’s population: Perceived changes in diet, physical activity, and body weight حسب Muna Abed Alah (14779534)

"…The ordinal logistic regression analysis showed that the numbers of unhealthy dietary behaviors adopted by participants, and adverse changes in exercise, setting/reclining and screen times were significantly associated with weight gain. …"

Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) حسب Khaled F. Alkaraki (22051967)

"…<p dir="ltr">Modeling the impacts of Land Use/Land Cover changes (LULCC) on Land Surface Temperature (LST) is crucial in understanding and managing urban heat islands, climate change, energy consumption, human health, and ecosystem dynamics. …"

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection حسب Mamun Or Rashid (21976373)

"…Our approach significantly outperformed state-of-the-art methods in terms of classification accuracy. …"

Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey حسب Faria Nawshin (21841598)

"…</u> This survey paper explores the significance of applying federated learning to the <u>mobile operating systems, contrasting traditional machine learning </u>and<u> deep learning</u> approaches for mobile malware detection. …"

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach حسب Shaikh Afnan Birahim (22303750)

"…By incorporating Synthetic Minority Oversampling Technique Tomek (SMOTE-Tomek) techniques to balance the dataset and employing explainable AI methods such as Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP), the proposed model achieves significant improvements in detection accuracy, precision, recall, and F1 score while providing clear, interpretable results. …"

A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout حسب Arash Golabi (21841484)

"…This paper presents a dual-path deep learning framework for the detection and identification of HTs via side-channel analysis. …"

An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise حسب Shams Nafisa Ali (17949191)

"…The proposed deep learning-based PCG denoising approach is a pioneering study that can significantly improve the accuracy of computer-aided auscultation systems for detecting cardiac diseases in noisy, low-resource hospitals and underserved communities. …"

A Novel Features-Based Multivariate Gaussian Distribution Method for the Fraudulent Consumers Detection in the Power Utilities of Developing Countries حسب Ammar Yousaf Kharal (16891470)

"…It integrates novel features like social class stratification and the weather profile of an area. Thus, achieving a significant improvement in fraudulent consumer detection. …"

A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia حسب Dao H. Vu (19570225)

"…<p dir="ltr">Detecting electricity price spikes is crucial as it helps market participants to gain confidence and formulate appropriate strategy to maximize their benefits. …"

Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... حسب Masri, Oussama Samer

"…Purpose Establishing the reliability of a new method to check the mean retinal and choroidal reflectivity and using it to find retinal and choroid changes in amblyopia. Methods Design: Retrospective case-control. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل