Three main steps are involved in the proposed framework for classifying glioma brain tumors. The detailed proposed framework is presented in Fig. 1. At first, a preprocessing stage is employed to ensure consistency and quality of images….
Category: 7. Maths
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Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals
This manuscript develops a novel EDLES-SIAM technique for visually impaired people. The method is primarily designed to enhance indoor activity monitoring, ensuring the safety of visually impaired people in IoT technologies. It comprises…
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Action unit based micro-expression recognition framework for driver emotional state detection
The research presented in this manuscript utilized established and annotated datasets that are publicly available for research purposes. The involvement of human subjects was limited to the recording of facial muscle movements corresponding to…
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A data-driven approach to prioritize MITRE ATT&CK techniques for active directory adversary emulation
This section provides a review of the academic and industry literature pertinent to the core components of this research: adversary emulation, Active Directory (AD) security, the role of threat intelligence, and the application of Multi-Criteria…
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Hydraulic Performance Modeling of Inclined Double Cutoff Walls Beneath Hydraulic Structures Using Optimized Ensemble Machine Learning
Model optimization
Table 3 outlines a comparative analysis of the ML models’ performance before and after hyperparameter optimization based on the RMSE metric. Prior to tuning, the CatBoost algorithm exhibited the best performance for the U/Uo…
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Cognitive link adaptation via modulation scheme classification in narrowband networks under AWGN and SUI channel conditions
The conventional physical layer architecture within the communication infrastructure, shown in Fig. 1, includes modulation, which controls the waveform of the output signal. Incidentally, this waveform controls the bandwidth, bit rate, and…
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Deep learning-based automatic diagnosis of rice leaf diseases using ensemble CNN models
Data collection and acquisition
Deep learning algorithms require large, diverse, and high-quality datasets to achieve robust generalization in image-based classification tasks. In this study, a comprehensive dataset comprising 18,563 labeled…
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Theoretical solution for the impact of foundation pit excavation with support measures on the underlying shield tunnel
Deformation mechanism
The schematic illustration of the impact on the shield tunnel beneath before and after excavation of the foundation pit is roughly shown in Fig. 1. Before the excavation, the shield tunnel is in a state of equilibrium force,…
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A hybrid filtering and deep learning approach for early Alzheimer’s disease identification
This section delineates the processes of data preprocessing, data augmentation, the CNN model, and the implemented architecture that were carried out before conducting trials for performance evaluation. Figure 1 visually represents the proposed…
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Democratizing cost-effective, agentic artificial intelligence to multilingual medical summarization through knowledge distillation
Data source
To overcome the lack of accessible and vouched medical conversation datasets exclusively in Arabic, we adopted a synthetic data generation approach commonly seen in many studies, including an investigation by Al-Mutairi et al., which…
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