Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) by Tay, Bilal M.

“…Compared to the literature, the proposed model embeds a new feature selection method and offers higher detection accuracy, which helps lenders and financial institutions to better manage their lending activities and loan monitoring processes.…”
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Applications in Home Improvement Retailer, Koctas by Mourad, Nahia

“…One way they are using this data is by collecting and analyzing video camera images using AI. This allows them to detect humans and identify which products and shelves are most viewed in their stores. …”
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Optimizing intrusion detection in industrial cyber-physical systems through transfer learning approaches by Bostani, Ali

“…Since attacks on CPS can disrupt production, cause financial losses, and endanger national security, they must be prevented and detected. The general operation of the physical process can nevertheless be affected, and system failure is caused by specific traditional measures designed to anticipate CPS cyber-attacks. …”
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Detection of voltage pulse width effect on charge accumulation in PSCs using EFISHG measurement by Zubair, Ahmad

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Growing hierarchical self-organizing map for filtering intrusion detection alarms. (c2007) by Shehab, Maya

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Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks by Daou, Leonardo

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Exploring new horizons in neuroscience disease detection through innovative visual signal analysis by Nisreen Said Amer (17984077)

“…This research has the potential to bridge the gap between image classification and visual medical interpretation, leading to better disease detection and improved patient care in the field of neuroscience.…”

Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review by Fahad Muflih Alshagathrh (18427950)

“…Artificial Intelligence (AI) is now combined with traditional diagnostic processes to improve the performance of non-invasive approaches. …”

Pleistocene uplift evidences and geomorphological processes, along the Daghmar-Dibbab coastal area, (NE Oman) by Pavlopoulos, Kosmas

“…The study coastal area between Daghmar and Dibab (NE Oman) was uplifted up to 200 m due to different tectonic processes which can be detected on different elevations of the coastal teracces cascading. …”
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Leveraging Network Traffic Byte-Streams for Machine Learning Based Early Botnet Attack Detection by Rajesh Thomas

“…We discuss our framework which includes light weight network traffic pre-processing, transformation, and model training. We used the CTU-13 dataset to evaluate the proposed byte-based botnet detection system. …”
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Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review by Avneet Kaur (712349)

“…Conventional disease detection techniques are slow and depend on human involvement, which may be laborious and erroneous. …”

An Optimal Production Run For An Imperfect Production Process With Allowable Shortages And Time-Varying Fraction Defective Rate by Rahim, M.A.

“…The effects of an imperfect production process on the optimal production run by assuming that an elapsed time until the process shift is exponentially distributed have been studied. …”
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Reputation-Based Cooperative Detection Model of Selfish Nodes in Cluster-Based QoS-OLSR Protocol by Moati, Nadia

“…In addition, the hierarchical cooperative detection model shows a more reliable and efficient detection of selfish nodes.…”
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Acoustic radiation-free surface phononic crystal resonator for in-liquid low-noise gravimetric detection by Feng Gao (3548)

A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection by Habib Ullah Khan (12024579)

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …”

PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping by Arvind Prasad (19997799)

“…To ensure robustness and accuracy, the model adopts a test-then-train approach, initially testing on application data to identify weaknesses and refine the training process. The framework’s resilience is tested against adversarial attacks, demonstrating its ability to withstand attempts to bypass or deceive detection mechanisms and enhance overall security. …”

Single and multiphase flow leak detection in onshore/offshore pipelines and subsurface sequestration sites: An overview by Mohammad Azizur Rahman (4803336)

“…Although several studies have been conducted on <u>leak detection</u> using various techniques, recent literature that comprehensively investigates and summarizes the different multiphase leak detection techniques could not be found. …”

Sub-ppm of toxic gases detection on Ag-doped WO₃ nanosensor by Ahmad Al-Sarraj (17151007)

“…Heron, the synthesis of Ag/WO₃ sensors with excellent sensitivity at extremely low gas concentrations is reported, making this sensor a promising tool for detecting toxic gases that threaten human health. Furthermore, the potential implications of this research on human health are significant, as detecting low concentrations of these gases can be a potential tool for the diagnostic process as well as health and environmental monitoring.…”

AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks by Faria Nawshin (21841598)

“…By integrating <u>DP</u>, we ensure the confidentiality of data during the detection process, setting a new standard for privacy in cybersecurity solutions. …”