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Using the Statistical Machine Learning Models ARIMA and SARIMA to Measure the Impact of Covid-19 on Official Provincial Sales of Cigarettes in Spain
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
From a public health perspective, tobacco use is addictive by nature and triggers several cancers, cardiovascular and respiratory diseases, reproductive disorders, and many other adverse health effects leading to many ...
UXJs: Tracking and Analyzing Web Usage Information With a Javascript Oriented Approach
(IEEE Access, 2020)
Knowing what the user does inside your web and how he does it is crucial nowadays to understand the strengths and inconveniences of your web's design and architectural structure as well as about the usability of the site. ...
Detection of anomaly in surveillance videos using quantum convolutional neural networks
(Image and Vision Computing, 2023)
Anomalous behavior identification is the process of detecting behavior that differs from its normal. These incidents will vary from violence to war, road crashes to kidnapping, and so on in a surveillance model. Video ...
Visual Geometry Group based on U-Shaped Model for Liver/Liver Tumor Segmentation
(IEEE Latin America Transactions, 2023)
Liver cancer is the primary reason of death around the globe. Manually detecting the infected tissues is a challenging and time-consuming task. The computerized methods help make accurate decisions and therapy processes. ...
Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-06)
Artificial intelligence (AI) has shown its effectiveness in helping clinical users meet evolving challenges. Recently, ChatGPT, a newly launched AI chatbot with exceptional text comprehension capabilities, has triggered a ...
Blockchain-Based Privacy Preservation for IoT-Enabled Healthcare System
(ACM Journals, 2023)
Blockchain technology provides a secure and reliable platform for managing data in various application areas, such as supply chain management, multimedia, financial sector, food sector, Internet of Things (IoT), healthcare, ...
Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data
(Big Data, 2024)
Big data is a combination of large structured, semistructured, and unstructured data collected from various sources that must be processed before using them in many analytical applications. Anomalies or inconsistencies in ...
Effective high-quality economic growth based on human capital structure
(Expert Systems, 2024)
Nowadays, economic growth is influenced by many domestic and foreign global issues, concerning the decrease of industrial output for the rise in economic inequality and the weakening of the overall condition in the countries. ...
Adjectives Grouping in a Dimensionality Affective Clustering Model for Fuzzy Perceptual Evaluation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
More and more products are no longer limited to the satisfaction of the basic needs, but reflect the emotional interaction between people and environment. The characteristics of user emotions and their evaluation scales ...
Securing IoT-based Smart Healthcare Systems by using Advanced Lightweight Privacy-Preserving Authentication Scheme
(IEEE Internet of Things Journal, 2023)
In the healthcare network, the Internet of Things (IoT) devices are connected to the network for enabling remote monitoring of patients' health. IoT Device (IoTD) security, however, is a serious concern because typical ...