This study evaluates the performance of the MMDBO using 13 comparative algorithms and tests the MMDBO on 41 benchmark functions. The MMDBO’s performance is evaluated across forty-one benchmark functions, sourced from the CEC2017 and CEC2022…
Category: 7. Maths
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Instagram fake profile detection using an ensemble learning method
In this section, the workflow included processes related to data-retrieval, merging, pre-processing, and then using algorithms, which were especially important given the use of Instagram datasets. Furthermore, the underlying model is founded on…
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The impact of vehicle lane-changing on the speed and delay of vehicles in the target lane based on the GMM-HMM
On expressway sections with a traffic load degree of 0.80–0.90, it is assumed that vehicles in operation follow the vehicle-following characteristics, and the operation state of the following vehicle can only be determined by the operation…
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Hare escape optimization algorithm with applications in engineering and deep learning
Ghafil, H. N. & Jármai, K. Dynamic differential annealed optimization: new metaheuristic optimization algorithm for engineering applications. Appl Soft Comput, p. 106392, (2020).
Ghafil, H. N. & Jármai, K. Optimization for Robot Modelling with…
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Hierarchical guided manta ray foraging optimization for global continuous optimization problems and parameter estimation of solar photovoltaic models
Experimental setup
To systematically evaluate the performance of HGMRFO, this study conducted simulations comparing HGMRFO with several state-of-the-art optimization algorithms on the IEEE CEC2017 benchmark function set. It should be noted that…
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Multi-modal emotional analysis in customer relation management and enhancing communication through integrated affective computing
Multi-modal emotional analysis is a relatively new yet critically important branch of emotional psychology1. A multi-modal framework simultaneously supports several input and output channels, allowing for an interactive paradigm reminiscent of…
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AI-CMCA: a deep learning-based segmentation framework for capillary microfluidic chip analysis
The schematic illustrates a representative CMC (Scheme 1A) featuring parallel straight channels, a fundamental design used to evaluate material properties, assess fabrication precision, and establish baseline flow characteristics. These…
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GrSrNMF: dynamic community detection with graph and symmetry bi-regularized non-negative matrix factorization
Preliminaries
In this work, we primarily investigate the performance of this symmetric learning device using an unweighted, undirected dynamic network. From this, we represent a dynamic network as G = (V, \(E_t\)), when snapshot \(t = 1, 2, 3,…,…
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A novel framework GRCornShot for corn disease detection using few shot learning with prototypical network
Figure 2 presents the methodology outlining the GRCornShot model’s training and evaluation process. The images of corn diseases and healthy corn are collected. After the dataset collection, the images are preprocessed, including resizing and…
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CDMRNet: multimodal meta-adaptive reasoning network with dynamic causal modeling and co-evolution of quantum states
CDMRNet (Causal Discovery-Quantum Fusion-Meta Reasoning Network) employs a three-tier architecture—Dynamic Causal Discovery, Quantum Fusion, and Meta-Adaptive Reasoning (Fig. 1). the framework first captures the underlying causal structure of…
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