Breast cancer is a common cancer among women worldwide, and early diagnosis is crucial for improving the chances of successful treatment. Decision support systems (DSS) are computer-based systems that help and guide u...
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Many systems operating in a computer data center environment are extremely sensitive due to the importance of the services they provide. It is crucial to maintain them in constant operation without service disruption ...
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The swift expansion of solar photovoltaic (PV) technology has introduced significant challenges for those overseeing electricity distributions due to its reliance on weather conditions. In this study, predictive model...
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Software-Defined Networking (SDN) embodies an advanced network architecture, developed to transform traditional networks and adapt them to fulfill contemporary needs. SDN distinguishes itself by decoupling the control...
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This study introduces an innovative framework for Facial Movements Disorders (FMD), including eyelid movement, and mouth droopy. The system operates in real-time through front-facing laptop cameras, uploaded videos, a...
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ISBN:
(数字)9798331508944
ISBN:
(纸本)9798331508951
This study introduces an innovative framework for Facial Movements Disorders (FMD), including eyelid movement, and mouth droopy. The system operates in real-time through front-facing laptop cameras, uploaded videos, and images. The approach involves initializing the MediaPipe face landmark model, preprocessing frames/images using OpenCV, and extracting landmarks for identifying facial points. By analyzing distances, predefined thresholds, and movements are classified. We implemented a user-friendly web interface using the Streamlit library to empower users to use the implemented model easily. The system was rigorously evaluated on a labeled dataset. Evaluation metrics (accuracy, precision, recall, F1 score) were calculated. Results indicated a high accuracy of 93% for eyelid status, and 95% for mouth droopy corner.
Breast cancer is a common cancer among women worldwide, and early diagnosis is crucial for improving the chances of successful treatment. Decision support systems (DSS) are computer-based systems that help and guide u...
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ISBN:
(数字)9798350376111
ISBN:
(纸本)9798350376128
Breast cancer is a common cancer among women worldwide, and early diagnosis is crucial for improving the chances of successful treatment. Decision support systems (DSS) are computer-based systems that help and guide users in making decisions. This paper discusses the characteristics of an optimal DSS for diagnosing breast cancer, including accuracy and reliability. This paper also introduces an optimal DSS for diagnosing breast cancer that should be able to provide an accurate, reliable, and comprehensive guide to users while being up-to-date, and flexible. The results obtained from the R-squared in the model succeeded in explaining 70% of the variation in the outputs. In contrast, the initial value of R-squared was 0.705091558 and then improved to 0.700018844. Such a system has the potential to improve the early diagnosis and treatment of breast cancer significantly and could ultimately save lives.
Generative Artificial Intelligence (GAI) has garnered considerable attention across disciplines such as science, digital forensics, and literature. Advanced large language modeling systems (LLMs), including ChatGPT an...
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ISBN:
(数字)9798331508944
ISBN:
(纸本)9798331508951
Generative Artificial Intelligence (GAI) has garnered considerable attention across disciplines such as science, digital forensics, and literature. Advanced large language modeling systems (LLMs), including ChatGPT and Large Language Model Meta AI (LLaMA), have become essential tools in digital forensics due to their sophisticated Natural Language Processing (NLP) capabilities. These systems enable efficient processing of extensive text datasets, sentiment analysis, and real-time threat detection. This research explores the effectiveness of AI-driven methods in digital forensics by conducting comprehensive tests on various applications, such as artifact comprehension, evidence search, and incident response. The results confirm the transformative role of ChatGPT in enhancing the speed and accuracy of investigation, as the study showed that the system can analyze data and images related to crimes and provide comprehensive reports. Not only does he process evidence, but it can also extract complete conversations related to crime, determining when it occurred and whether it was planned. The system meticulously analyzes the data sent to it to provide additional details such as possible motives and behavior of suspects. It provides investigators with an in-depth understanding that can be used at various stages of the investigation, and even in the courts as credible evidence. This approach reflects the importance of responsible adoption of the system while offering guidelines for its responsible adoption and future development.
Customer segmentation is critical for tailoring marketing campaigns to specific consumer needs, enhancing engagement, and maximizing business profitability. This study integrates Recency-Frequency (RF) analysis with t...
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ISBN:
(数字)9798331508944
ISBN:
(纸本)9798331508951
Customer segmentation is critical for tailoring marketing campaigns to specific consumer needs, enhancing engagement, and maximizing business profitability. This study integrates Recency-Frequency (RF) analysis with the K-Means clustering algorithm to classify customers of "Ramallah Outfit" into distinct behavioral segments. The Monetary (M) component was excluded because spending levels can sometimes be misleading high or low expenditures do not always reflect true loyalty or engagement. While monetary data may indicate how much a customer spends, it does not necessarily correlate with the frequency or recency of purchases, which are more reliable indicators of customer behavior and engagement. Excluding the Monetary component allows for a clearer focus on customer retention and loyalty. A high spender might make only occasional large purchases, whereas a customer with frequent smaller purchases could be more engaged and loyal. By focusing on Recency and Frequency, the analysis more accurately captures ongoing engagement, providing actionable insights for marketing. Using a unique first-hand dataset, the model achieved a clustering accuracy of 99.47%, effectively segmenting customers into actionable clusters: Gold (34.4%), Bronze (35.2%), and Silver (30.4%). The results demonstrate the effectiveness of this refined approach in optimizing marketing efforts and fostering customer loyalty.
Rivers provide key ecosystem services that are inherently engineered and optimized to meet the strategic and economic needs of countries around the ***,limited water quality records of a full river continuum hindered ...
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Rivers provide key ecosystem services that are inherently engineered and optimized to meet the strategic and economic needs of countries around the ***,limited water quality records of a full river continuum hindered the understanding of how river systems response to the multiple stressors acting on *** study highlights the use of Sentinel-2 Multi-Spectral Imager(MSI)data to monitor changes in water color in two optically complex river systems:the Yangtze and Danube using the Forel-Ule Index(FUI).FUI divides water color into 21 classes from dark blue to yellowish brown stemming from the historical Forel-Ule water color scale and has been promoted as a useful indicator showing water turbidity variations in water *** results revealed contrasting water color patterns in the two rivers on both spatial and seasonal ***,the FUI of the Yangtze River gradually increased from the upper reaches to the lower reaches,while the FUI of the Danube River declined in the lower reaches,which is possibly due to the sediment sink effect of the Iron Gate *** regional FUI peaks and valleys observed in the two river systems have also been shown to be related to the dams and hydropower stations along ***,the variations of FUI in both systems can be attributed to climate seasonality,especially precipitation in the basin and the water ***,land cover within the river basin was possibly a significant determinant of water color,as higher levels of vegetation in the Danube basin were associated with lower FUI values,whereas higher FUI values and lower levels of vegetation were observed in the Yangtze *** study furthers our knowledge of using Sentinel-2 MSI to monitor and understand the spatial-temporal variations of river systems and highlights the capabilities of the FUI in an optically complex environment.
Many systems operating in a computer data center environment are extremely sensitive due to the importance of the services they provide. It is crucial to maintain them in constant operation without service disruption ...
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ISBN:
(数字)9798350376111
ISBN:
(纸本)9798350376128
Many systems operating in a computer data center environment are extremely sensitive due to the importance of the services they provide. It is crucial to maintain them in constant operation without service disruption and achieve the triad pyramid of security (CIA). The logs of security events correlated from multiple channels in a live mode, either from the SIEM agents, IDS, IPS, antivirus, or any security feeders to a single monitor dashboard, show the incidents on each device separately. The gap in the previous models is that there are no unique measures on the security devices chain. This study seeks to provide the best level of security for the systems and programs operating in the data centers that write data logs about all events for auditing and information security purposes. A novel security procedural model, grounded in the playbook framework, was introduced for implementation within the feeders chain. The Playbook concept ensures that all systems have an orchestration workflow that allows them to play harmonic rules between them. After applying the new model, we observed a 0.35 increase in whole IDS and a decrease in false positives compared to the previous IDS/IPS.
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