Muhammad Umer

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Improving prediction of skeletal growth problems for age evaluation using hand X-rays.
Multim. Tools Appl., October, 2024

Analysis of STAR-RIS-Assisted Downlink CoMP-NOMA Multi-Cell Networks Under Nakagami-m Fading.
IEEE Commun. Lett., May, 2024

Novel 3-D Deep Neural Network Architecture for Crop Classification Using Remote Sensing-Based Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Convergence Analysis of a Norm Minimization-Based Convex Vector Optimization Algorithm.
SIAM J. Optim., 2024

Improving prediction of maternal health risks using PCA features and TreeNet model.
PeerJ Comput. Sci., 2024

Contradiction in text review and apps rating: prediction using textual features and transfer learning.
PeerJ Comput. Sci., 2024

Enhancing fall prediction in the elderly people using LBP features and transfer learning model.
Image Vis. Comput., 2024

A novel approach for breast cancer detection using optimized ensemble learning framework and XAI.
Image Vis. Comput., 2024

An improved skin lesion detection solution using multi-step preprocessing features and NASNet transfer learning model.
Image Vis. Comput., 2024

Fuzzy-CNN: Improving personal human identification based on IRIS recognition using LBP features.
J. Inf. Secur. Appl., 2024

BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model.
Frontiers Comput. Neurosci., 2024

Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence.
Frontiers Comput. Neurosci., 2024

IoT based smart framework to predict air quality in congested traffic areas using SV-CNN ensemble and KNN imputation model.
Comput. Electr. Eng., 2024

Multi-scale convolutional auto encoder for anomaly detection in 6G environment.
Comput. Ind. Eng., 2024

Adversary Aware Continual Learning.
IEEE Access, 2024

Improving Plant Disease Classification With Deep-Learning-Based Prediction Model Using Explainable Artificial Intelligence.
IEEE Access, 2024

RoBERTaNET: Enhanced RoBERTa Transformer Based Model for Cyberbullying Detection With GloVe Features.
IEEE Access, 2024

Enhanced Machine Learning Ensemble Approach for Securing Small Unmanned Aerial Vehicles From GPS Spoofing Attacks.
IEEE Access, 2024

Aeroelastic Tailoring Framework of Pazy Wing With Variable Stiffness of Composites Spar.
IEEE Access, 2024

Employing Siamese MaLSTM Model and ELMO Word Embedding for Quora Duplicate Questions Detection.
IEEE Access, 2024

2023
A CNN based coronavirus disease prediction system for chest X-rays.
J. Ambient Intell. Humaniz. Comput., October, 2023

An Intelligent Framework for Cyber-Physical Satellite System and IoT-Aided Aerial Vehicle Security Threat Detection.
Sensors, August, 2023

Face mask detection using deep convolutional neural network and multi-stage image processing.
Image Vis. Comput., May, 2023

Pepper bell leaf disease detection and classification using optimized convolutional neural network.
Multim. Tools Appl., March, 2023

Impact of convolutional neural network and FastText embedding on text classification.
Multim. Tools Appl., February, 2023

Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM.
Big Data Res., February, 2023

Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System.
Sensors, 2023

IoT based smart home automation using blockchain and deep learning models.
PeerJ Comput. Sci., 2023

Skeletal age evaluation using hand X-rays to determine growth problems.
PeerJ Comput. Sci., 2023

Novel approach for quantitative and qualitative authors research profiling using feature fusion and tree-based learning approach.
PeerJ Comput. Sci., 2023

A novel approach for explicit song lyrics detection using machine and deep ensemble learning models.
PeerJ Comput. Sci., 2023

IoMT based smart healthcare system to control outbreaks of the COVID-19 pandemic.
PeerJ Comput. Sci., 2023

Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques.
PeerJ Comput. Sci., 2023

Skin lesion classification in dermoscopic images using stacked Convolutional Neural Network.
J. Ambient Intell. Humaniz. Comput., 2023

Improving the review classification of Google apps using combined feature embedding and deep convolutional neural network model.
J. Ambient Intell. Humaniz. Comput., 2023

Mapping Cropland Extent in Pakistan Using Machine Learning Algorithms on Google Earth Engine Cloud Computing Framework.
ISPRS Int. J. Geo Inf., 2023

Multi-Step Preprocessing With UNet Segmentation and Transfer Learning Model for Pepper Bell Leaf Disease Detection.
IEEE Access, 2023

PyramidTabNet: Transformer-Based Table Recognition in Image-Based Documents.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Performance Analysis of STAR-RIS Enhanced CoMP-NOMA Multi-Cell Networks.
Proceedings of the IEEE Globecom Workshops 2023, 2023

2022
IoT Based Smart Monitoring of Patients' with Acute Heart Failure.
Sensors, 2022

Predicting Students' Academic Performance with Conditional Generative Adversarial Network and Deep SVM.
Sensors, 2022

ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification.
Pattern Recognit. Lett., 2022

Comprehension of polarity of articles by citation sentiment analysis using TF-IDF and ML classifiers.
PeerJ Comput. Sci., 2022

A Norm Minimization-Based Convex Vector Optimization Algorithm.
J. Optim. Theory Appl., 2022

Image processing based fault classification in power systems with classical and intelligent techniques.
J. Intell. Fuzzy Syst., 2022

COVINet: a convolutional neural network approach for predicting COVID-19 from chest X-ray images.
J. Ambient Intell. Humaniz. Comput., 2022

Contributor-Aware Defenses Against Adversarial Backdoor Attacks.
CoRR, 2022

False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger.
CoRR, 2022

Industry 4.0 technologies and their applications in fighting COVID-19 pandemic using deep learning techniques.
Comput. Biol. Medicine, 2022

A two-stage intrusion detection system with auto-encoder and LSTMs.
Appl. Soft Comput., 2022

Selective Feature Sets Based Fake News Detection for COVID-19 to Manage Infodemic.
IEEE Access, 2022

2021
COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network.
IEEE Trans. Ind. Informatics, 2021

Scientific papers citation analysis using textual features and SMOTE resampling techniques.
Pattern Recognit. Lett., 2021

Extensive hotel reviews classification using long short term memory.
J. Ambient Intell. Humaniz. Comput., 2021

The Role of Internet of Things to Control the Outbreak of COVID-19 Pandemic.
IEEE Internet Things J., 2021

Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning.
Expert Syst. Appl., 2021

Sentiment analysis of tweets using a unified convolutional neural network-long short-term memory network model.
Comput. Intell., 2021

Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD).
IEEE Access, 2021

RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model.
IEEE Access, 2021

Improving the Prediction of Heart Failure Patients' Survival Using SMOTE and Effective Data Mining Techniques.
IEEE Access, 2021

Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
An Intelligent, Secure, and Smart Home Automation System.
Sci. Program., 2020

Comparative Analysis of Extreme Verification Latency Learning Algorithms.
CoRR, 2020

Comparison Analysis of Tree Based and Ensembled Regression Algorithms for Traffic Accident Severity Prediction.
CoRR, 2020

A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images.
IEEE Access, 2020

Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM).
IEEE Access, 2020

Internationalization of Construction Service Corporations: Impact of Size and International Experience.
IEEE Access, 2020

Duplicate Questions Pair Detection Using Siamese MaLSTM.
IEEE Access, 2020

Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Vulnerability of Covariate Shift Adaptation Against Malicious Poisoning Attacks.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Novel Model for HD video calling in 5G Networks.
Proceedings of the 25th International Conference on Automation and Computing, 2019

2018
Explicit Content Detection System: An Approach towards a Safe and Ethical Environment.
Appl. Comput. Intell. Soft Comput., 2018

Adversarial Poisoning of Importance Weighting in Domain Adaptation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017
Reducing communication cost of encrypted data search with compressed bloom filters.
Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

LEVELIW: Learning extreme verification latency with importance weighting.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

MAPILS: Mobile augmented reality plant inquiry learning system.
Proceedings of the 2017 IEEE Global Engineering Education Conference, 2017

2016
Learning under extreme verification latency quickly: FAST COMPOSE.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2014
An inertial sensor system for measurements of tibia angle with applications to knee valgus/varus detection.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

2013
Opportunistic sampling-based query processing in wireless sensor networks.
GeoInformatica, 2013

Study on estimation of peak Ground Reaction Forces using tibial accelerations in running.
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

2010
Spatial interpolation in wireless sensor networks: localized algorithms for variogram modeling and Kriging.
GeoInformatica, 2010

2009
Optimizing query processing using selectivity-awareness in Wireless Sensor Networks.
Comput. Environ. Urban Syst., 2009

Opportunistic sampling in wireless sensor networks.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009

2008
Kriging for Localized Spatial Interpolation in Sensor Networks.
Proceedings of the Scientific and Statistical Database Management, 2008

2006
Efficient Data Collection and Selective Queries in Sensor Networks.
Proceedings of the GeoSensor Networks, Second International Conference, 2006

2005
A semantic grid-based e-learning framework (SELF).
Proceedings of the 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005), 2005

2004
The Case for an Agri Data Warehouse: Enabling Analytical Exploration of Integrated Agricultural Data.
Proceedings of the IASTED International Conference on Databases and Applications, 2004


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