Timing accuracy

The presence of heterogeneity is a significant attribute within the context of ovarian cancer. This study aimed to assess the predictive accuracy of models utilizing quantitative 18F-FDG PET/CT derived inter-tumor heterogeneity metrics in determining progression-free survival (PFS) and overall survival (OS) in patients diagnosed with high-grade serous ovarian cancer (HGSOC).

13p vishanshan 27-06-2024 2 1   Download

Most patients with intrahepatic cholangiocarcinoma (ICC) have developed distant metastasis at the time of diagnosis, while there is rear related nomogram to predict the prognosis. The nomogram has good accuracy in predicting prognosis of DM-ICC patients, which would be of good significance to improve the prognosis of these patients.

11p vikoch 27-06-2024 2 1   Download

The research "Transforming tourism experiences: Unleashing the power of ICTA - An intelligent chatbot tourist's assistant" integrates Maslow's Hierarchy of Needs into the development of an Intelligent Chatbot Tourist's Assistant (ICTA) to enhance tourism services. The study reviews existing literature on tourism, chatbot technology, and Maslow's Hierarchy, and curates a dataset aligned with different levels of the hierarchy. Using Convolutional Neural Networks (CNN) within TensorFlow, the ICTA is trained and evaluated for accuracy, response time, and user satisfaction.

9p tonhiemm 07-06-2024 4 1   Download

Stressing the concrete applications of economic forecasting, Practical Business Forecasting is accessible to a wide-range of readers, requiring only a familiarity with basic statistics. The text focuses on the use of models in forecasting, explaining how to build practical forecasting models that produce optimal results. In a clear and detailed format, the text covers estimating and forecasting with single and multi- equation models, univariate time-series modeling, and determining forecasting accuracy.

510p vimeyers 29-05-2024 3 2   Download

This study compares the accuracy of two popular time series forecasting models, namely the autoregressive integrated moving average (ARIMA) model and the long short-term memory (LSTM) model, in predicting daily gold prices from 2000 to 2023. The ARIMA model is a traditional approach that relies on past values to forecast future values, while the LSTM model is a deep learning technique that captures long-term dependencies in time series data.

16p dathienlang1012 03-05-2024 0 0   Download

The latest release in this series is YOLOv8. In this article, the authors introduce a Deep Learning approach for object detection employing the YOLOv8 model. The testing outcomes reveal that the model attains a peak accuracy of 95 % for large and well-defined objects, whereas objects that are obscured and small in size exhibit an accuracy of 27.5 %.

8p dianmotminh02 03-05-2024 3 1   Download

In this article, after analyzing the different approaches, a generalized definition is derived. In unstable market conditions, the success of the firm in the market depends on its competitiveness, timely establishment of strategic goals, flexibility of the production system, which is ensured by the accuracy and timeliness of management decisions.

5p longtimenosee09 08-04-2024 4 1   Download

Exome sequencing is now mainstream in clinical practice. However, identification of pathogenic Mendelian variants remains time-consuming, in part, because the limited accuracy of current computational prediction methods requires manual classification by experts.

11p vibransone 28-03-2024 3 2   Download

This study aims to evidence the state pattern of the relationship between unemployment, supply chain strategy, and economic growth by investigating the accuracy of the Okun’s Law and the Phillips’ Curve in Indonesia. Time series data are sourced from the World Bank. As an addition to the independent variable, the dependency ratio is acknowledged to investigate unemployment based on the premise that a high dependency ratio will reduce the unemployment rate.

6p longtimenosee04 06-03-2024 2 0   Download

Curated databases of genetic variants assist clinicians and researchers in interpreting genetic variation. Yet, these databases contain some misclassified variants. It is unclear whether variant misclassification is abating as these databases rapidly grow and implement new guidelines.

19p vicwell 29-02-2024 4 1   Download

Minerals, with their intricate chemical compositions and crystalline structures, play a pivotal role in diverse chemical processes, applications, and research. Traditionally, their classification was achieved through observational and chemical techniques. However, with increasing sample sizes, these methods often proved time-consuming. Recent advances in Artificial Intelligence (AI) and Deep Learning (DL) promise transformative improvements in the speed and accuracy of mineral classification.

14p vigojek 02-02-2024 4 1   Download

Biochemical analyses of causative bacteria do not always result in clear identification, and new technologies aimed at improving diagnostic accuracy continue to be developed. Matrix-assisted laser desorption/ionization time-of-fight mass spectrometry is a rapid and accurate technique for bacterial identification.

4p vigojek 02-02-2024 1 1   Download

To unravel how the integrity of nuclear and mitochondrial circulating cell-free DNA (cfDNA) contributes to its plasma quantity in colorectal cancer (CRC) patients. Methods CfDNA from plasma samples of 80 CRC patients stratified by tumour stage and 50 healthy individuals were extracted. Total cfDNA concentration was determined and equal template concentrations (ETC) were analyzed by quantitative real-time PCR (qPCR) resulting in small and long fragments of KRAS, Alu and MTCO3.

14p vischultz 20-10-2023 4 1   Download

In line with that research trend, this paper proposes a hybrid algorithm combining particle swarm optimization with the simulated annealing technique (PSO-SA) to optimize the length of intervals to improve forecasting accuracies.

19p vimurdoch 18-09-2023 7 4   Download

This paper analyses the combination of IMU sensors and electromyography sensors (EMG) to improve the identification accuracy of human movements. We propose the hybrid convolutional neural network (CNN) and long short-term memory neuron network (LSTM) for the human gait analysis problem to achieve an accuracy of 0.9418, better than other models including pure CNN models.

18p vimulcahy 18-09-2023 8 4   Download

Microbiology laboratory results are complex and cumbersome to review. We sought to develop a new review tool to improve the ease and accuracy of microbiology results review. We observed and informally interviewed clinicians to determine areas in which existing microbiology review tools were lacking. We developed a new tool that reorganizes microbiology results by time and organism.

5p visteverogers 24-06-2023 6 2   Download

The paper investigates the lane following and changing maneuvers of autonomous vehicles in the presence of unknown disturbances, taking into account the dynamic system states and input constraints. The integrated longitudinal-lateral and yaw rate dynamics of the vehicle are simultaneously considered to improve the tracking accuracy and system stability when navigating under critical conditions.

11p vihawkeye 26-05-2023 12 5   Download

To access the accuracy of the Logical Observation Identifiers Names and Codes (LOINC) mapping to local laboratory test codes that is crucial to data integration across time and healthcare systems.

7p vighostrider 25-05-2023 5 2   Download

This article presents the result of the research proposal for automation of the process of determining the steering wheel free play in the vehicle registration process. For the purpose of bringing automated devices into the registration process in order to increase accuracy, save time and minimize the human subjective factors.

6p vidoctorstrange 06-05-2023 7 4   Download

This study presents a literature review of PNT requirements across industries. It proposes a requirements framework for three professional sectors that are being transformed by automation, connectivity and high-accuracy positioning. The PNT requirements of construction, agriculture and rail applications are reviewed and further validated by field trials.

170p runthenight04 02-02-2023 5 1   Download