Mohammed Zakariah

Orcid: 0000-0002-2488-2605

According to our database1, Mohammed Zakariah authored at least 41 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A 241MHz/mA Low Power, Low noise Capacitively Coupled Chopper Amplifier with Integrated Feedforward Passive Ripple Reduction.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

2025
Hybrid Cross-Temporal Contrastive Model with Spiking Energy-Efficient Network Intrusion Detection in IOMT.
Int. J. Comput. Intell. Syst., December, 2025

Intrusion detection in IoT network using temporal wavelet augmented deep dense and LSTM auto-encoders.
Int. J. Inf. Sec., October, 2025

Improved Brain Tumor Segmentation With SegFormer : A Transformer-Based Architecture for Cross-Dataset Generalization.
Int. J. Imaging Syst. Technol., 2025

Deep Convolution Neural Networks for Image-Based Android Malware Classification.
Comput. Mater. Continua, 2025

TRANSHEALTH: A Transformer-BDI Hybrid Framework for Real-Time Psychological Distress Detection in Ambient Healthcare.
Comput. Mater. Continua, 2025

Ensemble of Deep Learning with Crested Porcupine Optimizer Based Autism Spectrum Disorder Detection Using Facial Images.
Comput. Mater. Continua, 2025

An Auto Encoder-Enhanced Stacked Ensemble for Intrusion Detection in Healthcare Networks.
Comput. Mater. Continua, 2025

Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers.
IEEE Access, 2025

2024
Skin cancer detection with MobileNet-based transfer learning and MixNets for enhanced diagnosis.
Neural Comput. Appl., December, 2024

A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds.
Multim. Tools Appl., October, 2024

Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques.
Eng. Appl. Artif. Intell., January, 2024

Pathological voice classification using MEEL features and SVM-TabNet model.
Speech Commun., 2024

Implementing federated learning over VPN-based wireless backhaul networks for healthcare systems.
PeerJ Comput. Sci., 2024

A Novel Optimized Deep Convolutional Neural Network for Efficient Seizure Stage Classification.
Comput. Mater. Continua, 2024

A Secure Framework for WSN-IoT Using Deep Learning for Enhanced Intrusion Detection.
Comput. Mater. Continua, 2024

Privacy Preservation in IoT Devices by Detecting Obfuscated Malware Using Wide Residual Network.
Comput. Mater. Continua, 2024

Network Security Enhanced with Deep Neural Network-Based Intrusion Detection System.
Comput. Mater. Continua, 2024

Multimodal Emotion Recognition Using Feature Fusion: An LLM-Based Approach.
IEEE Access, 2024

Student Recognition and Activity Monitoring in E-Classes Using Deep Learning in Higher Education.
IEEE Access, 2024

Intrusion Detection in IoT Systems Using Denoising Autoencoder.
IEEE Access, 2024

2023
Deep Neural Decision Forest (DNDF): A Novel Approach for Enhancing Intrusion Detection Systems in Network Traffic Analysis.
Sensors, October, 2023

Intelligent Transportation Using Wireless Sensor Networks Blockchain and License Plate Recognition.
Sensors, March, 2023

A Deep Learning-Based Innovative Technique for Phishing Detection in Modern Security with Uniform Resource Locators.
Sensors, 2023

Dementia Speech Dataset Creation and Analysis in Indic Languages - A Pilot Study.
IEEE Access, 2023

Detection of Android Malware Using Machine Learning and Siamese Shot Learning Technique for Security.
IEEE Access, 2023

Unravelling stress levels in continuous speech through optimal feature selection and deep learning.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

2022
Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures.
Sensors, 2022

2021
Image-based smoke detection using feature mapping and discrimination.
Soft Comput., 2021

Convolution-Based Encoding of Depth Images for Transfer Learning in RGB-D Scene Classification.
Sensors, 2021

A Simple Speech Production System Based on Formant Estimation of a Tongue Articulatory System Using Human Tongue Orientation.
IEEE Access, 2021

2020
Emotional Voice Conversion Using a Hybrid Framework With Speaker-Adaptive DNN and Particle-Swarm-Optimized Neural Network.
IEEE Access, 2020

Speech Emotion Recognition using Convolutional Recurrent Neural Networks and Spectrograms.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2019
Hybrid Framework for Speaker-Independent Emotion Conversion Using i-Vector PLDA and Neural Network.
IEEE Access, 2019

Robust Detection of Atrial Fibrillation Using Classification of a Linearly-Transformed Window of R-R Intervals Tachogram.
IEEE Access, 2019

2018
Digital multimedia audio forensics: past, present and future.
Multim. Tools Appl., 2018

Vulnerability Analysis for the Authentication Protocols in Trusted Computing Platforms and a Proposed Enhancement of the OffPAD Protocol.
IEEE Access, 2018

2017
Design and deployment challenges in immersive and wearable technologies.
Behav. Inf. Technol., 2017

2016
QoS-adaptive service configuration framework for cloud-assisted video surveillance systems.
Multim. Tools Appl., 2016

Optimized Gabor features for mass classification in mammography.
Appl. Soft Comput., 2016

2015
Synchronizing Data through Update Queries in Interoperable E-Health and Technology Enhanced Learning Data Sharing Systems.
J. Univers. Comput. Sci., 2015


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