Results 71 to 80 of about 139,430 (360)
Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays
Advanced Sensor Research, EarlyView.This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley +1 more source
Lithology Recognition Research Based on Wavelet Transform and Artificial Intelligence
Cejing jishu, 2023 Lithology identification is one of the main application directions of deep learning in oil and gas field development. Artificial intelligence models can effectively improve the efficiency of oil and gas field development and on-site construction.
FANG Dazhi +4 more
doaj +1 more source
Advanced Theory and Simulations, EarlyView.This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa +2 more
wiley +1 more source
Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks
, 2019 Short-term traffic flow prediction is one of the crucial issues in intelligent transportation system, which is an important part of smart cities. Accurate predictions can enable both the drivers and the passengers to make better decisions about their ...
Bahrak, Behnam +2 more
core +1 more source
Intelligent Surrounding Rock Grade Identification Combining XGBoost Algorithm and Drilling Parameters of Drill Jumbo [PDF]
, 2022 Guoqiang Huang +6 more
openalex +1 more source
XGBoost-Powered Ransomware Detection
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and ControlRansomware remains a rapidly evolving cyber threat, causing substantial financial and operational disruptions globally. Traditional signature-based detection systems are ineffective against sophisticated, zero-day attacks due to their static nature. Consequently, machine learning-based approaches offer a more effective and adaptive alternative.
Wildanil Ghozi +4 more
openaire +1 more source
Advanced Science, EarlyView.Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo +6 more
wiley +1 more source
Fetal health classification with predictive algorithm by using Ensemble Model [PDF]
ITM Web of ConferencesFetal health assessment is essential for ensuring the well-being of both the mother and fetus during pregnancy. Cardiotocography (CTG) is a widely used technique that monitors fetal heart rate (FHR) patterns and uterine contractions, providing critical ...
Devi V. Sowmya +3 more
doaj +1 more source
Improving Patch-Based Convolutional Neural Networks for MRI Brain Tumor Segmentation by Leveraging Location Information. [PDF]
, 2019 The manual brain tumor annotation process is time consuming and resource consuming, therefore, an automated and accurate brain tumor segmentation tool is greatly in demand. In this paper, we introduce a novel method to integrate location information with
Chen, Jefferson W +6 more
core
Predicting customer's gender and age depending on mobile phone data
, 2019 In the age of data driven solution, the customer demographic attributes, such as gender and age, play a core role that may enable companies to enhance the offers of their services and target the right customer in the right time and place.
Aljoumaa, Kadan +2 more
core +1 more source