-
221
A systematic review and meta-analysis on the impact of early vs. delayed pharmacological thromboprophylaxis in patients with traumatic brain injury
منشور في 2024"…Early PTP was categorized based on the timing of administration: 1) within 24 h, 2) within 48 h, and 3) within 72 h of hospital admission. …"
-
222
A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory
منشور في 2025"…<p dir="ltr">Despite the growing research and development of botnet detection tools, an ever-increasing spread of botnets and their victims is being witnessed. …"
-
223
Food fraud detection using explainable artificial intelligence
منشور في 2023"…<div><p>Recently, the global food supply chain has become increasingly complex, and its scalability has grown. …"
-
224
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting
منشور في 2019"…., its generation, propagation and mitigation, in order to increase operational efficiency and improve livability within smart cities. …"
-
225
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
منشور في 2024"…However, it is difficult to identify TB from CXR images in the early stage, which leads to time-consuming and expensive treatments. Moreover, due to the increase of drug-resistant tuberculosis, the disease becomes more challenging in recent years. …"
-
226
-
227
Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices
منشور في 2024"…Based on the performance metrics, such as confusion matrix, training time, prediction time, accuracy, and Area Under the Receiver Operating Characteristic curve (AUC-ROC), it was established that SDN-ML-IoT, when applied to RF, outperforms other ML algorithms, as well as similar approaches related to our work. …"
-
228
Optimizing the Cleaning Frequency of Solar Photovoltaic (PV) systems Using Numerical Analysis
منشور في 2021احصل على النص الكامل
doctoralThesis -
229
-
230
Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review
منشور في 2023"…It provides key insights into how vision transformers complemented the performance of AI and deep learning methods for lung cancer. Furthermore, the review also identifies the datasets that contributed to advancing the field.…"
-
231
-
232
-
233
Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities
منشور في 2022"…Moreover, the margins of both energy retailers and distribution utilities are kept unchanged or increased to some extent by the proposed trading model to incorporate them in the LEM framework effectively. …"
-
234
Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms
منشور في 2025"…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …"
-
235
Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS
منشور في 2025"…To improve our results and increase our dataset, we use data augmentation with a deep convolutional generative adversarial network (DCGAN). …"
احصل على النص الكامل
article -
236
Identifying Regional Trends in Avatar Customization
منشور في 2019"…We find that avatar customization correlates with increased social activity, and we are able to identify distinct visual trends among the U.S.…"
-
237
YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images
منشور في 2025"…It has recently become increasingly popular to apply deep learning algorithms to the identification of ships in SAR images. …"
-
238
Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment
منشور في 2023"…Three machine learning models were investigated for transpiration modelling and prediction: deep neural networks (DNN), extreme gradient boosting (XGBoost), and support vector machine regression (SVR). …"
-
239
Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique
منشور في 2024"…<p dir="ltr">The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into the spotlight. …"
-
240