This section presents comprehensive experimental validation of the proposed method’s effectiveness on IoT attack detection datasets NSL-KDD and CIC-IDS-2017. Through rigorous multi-phase testing and comparative studies, the performance…
Category: 7. Maths
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Fuzzy incidence coloring under structural operations for communication channel allocation
Strong product of fuzzy incidence graphs
Definition 10
Given two FIGs, \(\mathscr {G}_1(\eta _1,\rho _1,\psi _1)\) and \(\mathscr {G}_2(\eta _2,\rho _2,\psi _2)\), with respective vertex sets \(X_1\)and
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Real-world super-resolution with VLM-based degradation prior learning
Overall architecture
As shown in Fig. 2a, we utilize DAT 10 as the backbone for the super-resolution network, and incorporate the Degradation Adapter and the cross-modal fusion module to construct our DePLSR model. Initially, the LR input x is…
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Ensemble-based sesame disease detection and classification using deep convolutional neural networks (CNN)
Dataset preparation
The dataset for this study was collected from sesame fields in Metema and Humera, Amhara region, Ethiopia, and included 640 images of sesame plants with various diseases (healthy, Phyllody, and Bacterial blight). The images…
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PEYOLO a perception efficient network for multiscale surface defects detection
This section introduces three publicly available steel surface defect detection datasets: NEU-DET, GC10-DET, and Severstal. In addition, this paper also introduces the publicly available PCB-DET dataset. For relevant information, please refer to…
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Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming
The intent of study is to design a system that predicts SOC using soil parameters and topography. This model will help farmers make informed decisions that will increase crop output. The interactions between biological and environmental factors…
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Graph representation learning via enhanced GNNs and transformers
This paper introduces edge-level positional encoding in addition to the traditional node-level random walk positional encoding and proposes two methods to enhance the edges in the original graph. The enhanced graphs are then used as input to both…
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Machine learning enables legal risk assessment in internet healthcare using HIPAA data
Many scholars have explored the applications of ML in the healthcare domain. Gilbert et al.7 discussed the use of AI and ML in healthcare and highlighted the regulatory challenges associated with adaptive algorithmic model updates. As the…
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Faster quantum subroutine for matrix chain multiplication via Chebyshev approximation
The matrices our QMM operates on are assumed to be stored in quantum random access memory (QRAM) and encoded into quantum state amplitudes. The framework addresses three distinct computational scenarios: matrix-vector multiplication,…
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Road damage detection based on improved YOLO algorithm
Data level and pre-experimental preparation
The dataset used in this paper is the open-source RDD 202,022 dataset, which includes road images from Japan, India, and the Czech Republic. The dataset contains four main types of road damage:…
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