AILA framework
AILA’s architecture prioritizes modularity, enabling seamless integration with diverse experimental and analytical platforms. At its core lies an LLM-powered planner—the framework’s cognitive centre—which orchestrates user…
Category: 7. Maths
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Numerical parametric optimization of fluid flow profiles in membranes using the Taguchi method
Qadir, S., Hussain, A. & Ahsan, M. A computational fluid dynamics approach for the modeling of gas separation in membrane modules. Processes 7(7), 420. https://doi.org/10.3390/pr7070420 (2019).
Google…
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Enhanced programming efficiency in vertical NAND flash using self-boosting hot carrier injection
Fig. 8 Concept of HCI-BiPGM method. (a) The channel potential as the NAND string is in the setup phase, (b) The channel potential as the NAND string is in the PGM phase.
Fig. 9 
(a) Energy band diagram and lateral field-driven HCI mechanism in…
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A deep learning-based framework for standardized analysis of trabecular bone compartments from micro-CT imaging data in the mouse tibia
Performance evaluation of the proposed method
We performed 5-fold cross-validation during the evaluation of the classification model’s performance against the manual annotation using test sets from three datasets: Dataset 122, Dataset 223, and…
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A fusion transfer learning framework for intelligent pest recognition in sustainable agriculture
This paper presents an IPRMEFP-HOFTL technique in smart agricultural solutions. The IPRMEFP-HOFTL technique aims to provide effective automatic detection of plant diseases, which will help monitor vast fields of crops on plant leaves. To achieve…
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A causal framework for aligning image quality metrics and deep neural network robustness
Experiment setup
Given the causal interpretation of IQA and the IQ metric desiderata (D1–D4), we examine how conventional NR-IQA metrics relate to DNN performance. Our primary hypothesis is that if quality (Q) and task model performance (M)…
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Machine learning based dynamic trust estimation framework for Securing wireless sensor networks
In the case of autonomous WSNs where intelligent sensors monitor a wide range of environmental and physiological parameters, integrity of data collected is of great importance. However, WSNs are always vulnerable to malicious attacks like on-off…
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A comparative evaluation of multiple machine learning approaches for forecasting dengue outbreaks in Bangladesh
Feature selections
The following graph determines the most influential environmental features affecting dengue incidence, using feature selection and importance ranking methods within machine learning models. This research examines time series…
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Application of the adaptive sparrow search algorithm in medical supply engineering
Problem description
To optimize the deployment of vascular robots in clinical settings and maximize cost-effectiveness, this study leverages real surgical records from weeks 1–104 at a tertiary hospital—collected by the Jiangsu Province…
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A mathematical approach to demonstrate R to T wave concordance of the human ECG
The human heart is the integral over fibres with superposition of the left and right ventricle2. The fibres in turn are the transmural integrals over cardiac cells. Figure 1 visualises the action potential \(P(z,t)\) in 3D:
Fig. 1 Transmural…
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