Datasets
In this paper, we used a DJI Mini 3 drone to capture images across various campus environments. A total of three scenes with distinct geometric characteristics were recorded. In addition, we incorporated two public datasets from the OMMO…
Category: 7. Maths
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Prediction of antibiotic resistance from antibiotic susceptibility testing results from surveillance data using machine learning
Exploratory data analysis
EDA was performed using matplotlib, pandas, and seaborn libraries to understand the underlying distributions and correlations in the dataset. The dataset has 917,049 rows with information on resistance interpretations of…
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Deterministic and fractional-order modeling of measles dynamics with harmonic mean incidence rate and quarantine impact
Definition
Time fractional derive (AB) with fractional order \(\kappa\) is defined as follows42:
$$^{AB}{_i} \wp_{b}^{i} f(t) = \frac{h(k)}{{(1 – k)}}\smallint_{i}^{b} P_{q} \frac{{ – k(b – t)^{k} }}{1 -…
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Bidirectional decision analysis of online Ride-hailing enterprises based on fuzzy theory and cloud model
Index weights
Triangular fuzzy judgment matrix
The three experts pairwise compared and rated all the indexes in order to objectively evaluate the weight of each index. Combined with the triangular fuzzy preference scale shown in Table 1, the…
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Integrated data-driven topology reconstruction and risk-aware reconfiguration for resilient power distribution systems under incomplete observability
Fig. 1 Integrated Framework for Data-Driven Topology Identification, Risk Evaluation, and Reconfiguration in Distribution Networks.
Figure 1 presents a structured schematic of the proposed data-driven framework for resilient distribution system…
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An adaptive coverage method for dynamic wireless sensor network deployment using deep reinforcement learning
Hierarchical state representation
To address the challenge of high-dimensional state spaces in wireless sensor network (WSN) coverage and sensing deployment, a novel hierarchical state representation method is proposed. This approach not only…
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University english teaching evaluation using artificial intelligence and data mining technology
Research background and motivations
In higher education, English teaching is considered a crucial subject, and its teaching quality and assessment effectiveness have always been a focus of attention1,2,3. Traditional methods for evaluating English…
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Analyzing the vulnerabilities in Split Federated Learning: assessing the robustness against data poisoning attacks
The related work is divided on two sections. First we provide, the backgroung on Federated Learning, Split Learning, and SplitFed Learning. Subsequently, we will discuss the security aspects of these methods.
Background
Federated Learning
The basic…
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A Data Centric HitL Framework for Conducting aSsystematic Error Analysis of NLP Datasets using Explainable AI
This section presents the results of the four sets of experiments described in Section “Approach”.
Exploring the Dataset
An exploratory data analysis phase was conducted to characterize the corpus and help decide on an appropriate…
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Enhancing confidentiality and access control in electronic health record systems using a hybrid hashing blockchain framework
The proposed PDA-HIHM system has three key characteristics that improve the security of healthcare data access First, it presents a hybrid hashing technique that combines traditional SHA-256 with entropy-based dynamic chaining, improving…
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