Ansarullah Syed Immamul相关文献与解析，生知库

Jenny, R Sherine; Sugirtham, N; Thiyaneswaran, B; Kumarganesh, S; K, Martin Sagayam; Ansarullah, Syed Immamul; Amin, Farhan; de la Torre Díez, Isabel; García, Carlos Osorio; Barrera, Alina Eugenia Pascual

发表日期：2026

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Discrete wavelet transform-driven optimized deep learning-based framework for dyslexia detection using EEG signals

基于离散小波变换的优化深度学习框架，利用脑电信号进行阅读障碍检测

期刊:Frontiers in Neuroinformatics

影响因子:2.5

doi:10.3389/fninf.2026.1765088

Jan, Tabassum Gull; Khan, Sajad Mohammad; Bhat, Sajid Yousuf; Wani, Zaid Ahmad; Ansarullah, Syed Immamul; Alshmrany, Sami; Khan, Shafat

Transfer Learning Strategies for Cardiovascular Disease Detection in ECG Imagery

基于迁移学习的ECG图像心血管疾病检测策略

期刊:Biomedical Engineering and Computational Biology

影响因子:3.1

doi:10.1177/11795972251397812

Soudagar, Ayeesha; Shetty, Savita K; Harohalli Shivalingappa, Shashidhara; Mudligiriyappa, Niranjanamurthy; Sinha, Anurag; Khalid, Saifullah; Ansarullah, Syed Immamul

Improved aquila optimizer for swarm-based solutions to complex engineering problems

改进的 Aquila 优化器，用于基于群体智能的复杂工程问题解决方案

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-024-79577-8

Sharma, Himanshu; Arora, Krishan; Mahajan, Raghav; Ansarullah, Syed Immamul; Amin, Farhan; AlSalman, Hussain

发表日期：2024

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Machine learning based intrusion detection framework for detecting security attacks in internet of things

基于机器学习的物联网入侵检测框架，用于检测物联网安全攻击。

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-024-81535-3

Kantharaju, V; Suresh, H; Niranjanamurthy, M; Ansarullah, Syed Immamul; Amin, Farhan; Alabrah, Amerah

发表日期：2024

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Lightweight Advanced Deep Neural Network (DNN) Model for Early-Stage Lung Cancer Detection

用于早期肺癌检测的轻量级高级深度神经网络（DNN）模型

期刊:Diagnostics

影响因子:3.3

doi:10.3390/diagnostics14212356

Bhatia, Isha; Aarti; Ansarullah, Syed Immamul; Amin, Farhan; Alabrah, Amerah

An Advanced Lung Carcinoma Prediction and Risk Screening Model Using Transfer Learning.

基于迁移学习的先进肺癌预测和风险筛查模型

期刊:Diagnostics

影响因子:3.3

doi:10.3390/diagnostics14131378

Bhatia Isha, Aarti, Ansarullah Syed Immamul, Amin Farhan, Alabrah Amerah

Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques

利用不同机器学习技术对心脏病进行初步预测时，可见的非侵入性风险属性的重要性

期刊:Computational Intelligence and Neuroscience

影响因子:

doi:10.1155/2022/9580896

Ansarullah, Syed Immamul; Saif, Syed Mohsin; Kumar, Pradeep; Kirmani, Mudasir Manzoor

Securing internet of things devices using a hybrid approach

采用混合方法保护物联网设备

Discrete wavelet transform-driven optimized deep learning-based framework for dyslexia detection using EEG signals

基于离散小波变换的优化深度学习框架，利用脑电信号进行阅读障碍检测

Transfer Learning Strategies for Cardiovascular Disease Detection in ECG Imagery

基于迁移学习的ECG图像心血管疾病检测策略

Improved aquila optimizer for swarm-based solutions to complex engineering problems

改进的 Aquila 优化器，用于基于群体智能的复杂工程问题解决方案

Machine learning based intrusion detection framework for detecting security attacks in internet of things

基于机器学习的物联网入侵检测框架，用于检测物联网安全攻击。

Lightweight Advanced Deep Neural Network (DNN) Model for Early-Stage Lung Cancer Detection

用于早期肺癌检测的轻量级高级深度神经网络（DNN）模型

An Advanced Lung Carcinoma Prediction and Risk Screening Model Using Transfer Learning.

基于迁移学习的先进肺癌预测和风险筛查模型

Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques

利用不同机器学习技术对心脏病进行初步预测时，可见的非侵入性风险属性的重要性