Muhammad Sharif
Orcid: 0000-0002-7258-8400Affiliations:
- COMSATS Institute of Information Technology, Wah Cantt, Pakistan
According to our database1,
Muhammad Sharif
authored at least 153 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Suspicious activities detection using spatial-temporal features based on vision transformer and recurrent neural network.
J. Ambient Intell. Humaniz. Comput., September, 2024
A Multi-attention Triple Decoder Deep Convolution Network for Breast Cancer Segmentation Using Ultrasound Images.
Cogn. Comput., March, 2024
Prosperous Human Gait Recognition: an end-to-end system based on pre-trained CNN features selection.
Multim. Tools Appl., February, 2024
A deep neural network and classical features based scheme for objects recognition: an application for machine inspection.
Multim. Tools Appl., February, 2024
Offline signature verification system: a novel technique of fusion of GLCM and geometric features using SVM.
Multim. Tools Appl., February, 2024
M<sup>3</sup>BTCNet: multi model brain tumor classification using metaheuristic deep neural network features optimization.
Neural Comput. Appl., January, 2024
Intelligent fusion-assisted skin lesion localization and classification for smart healthcare.
Neural Comput. Appl., January, 2024
Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection.
J. Ambient Intell. Humaniz. Comput., January, 2024
J. Ambient Intell. Humaniz. Comput., January, 2024
Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features.
J. Ambient Intell. Humaniz. Comput., January, 2024
Memory-efficient transformer network with feature fusion for breast tumor segmentation and classification task.
Eng. Appl. Artif. Intell., January, 2024
Human Gait Recognition by using Two Stream Neural Network along with Spatial and Temporal Features.
Pattern Recognit. Lett., 2024
Attention-aware with stacked embedding for sentiment analysis of student feedback through deep learning techniques.
PeerJ Comput. Sci., 2024
Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization.
PeerJ Comput. Sci., 2024
Localization model and rank-based features selection approach for the classification of GGO and consolidation stages of COVID-19.
Expert Syst. Appl., 2024
Transformer-based semantic segmentation and CNN network for detection of histopathological lung cancer.
Biomed. Signal Process. Control., 2024
A novel Deeplabv3+ and vision-based transformer model for segmentation and classification of skin lesions.
Biomed. Signal Process. Control., 2024
A Robust Intelligent System for Text-Based Traffic Signs Detection and Recognition in Challenging Weather Conditions.
IEEE Access, 2024
2023
Neural Comput. Appl., September, 2023
Intell. Syst. Appl., September, 2023
PDF-UNet: A semi-supervised method for segmentation of breast tumor images using a U-shaped pyramid-dilated network.
Expert Syst. Appl., July, 2023
A deep feature fusion and selection-based retinal eye disease detection from OCT images.
Expert Syst. J. Knowl. Eng., July, 2023
Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional features.
Neural Comput. Appl., June, 2023
Recognizing Gastrointestinal Malignancies on WCE and CCE Images by an Ensemble of Deep and Handcrafted Features with Entropy and PCA Based Features Optimization.
Neural Process. Lett., February, 2023
An Integrated Framework for COVID-19 Classification Based on Ensembles of Deep Features and Entropy Coded GLEO Feature Selection.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., February, 2023
Inf., January, 2023
BTS-ST: Swin transformer network for segmentation and classification of multimodality breast cancer images.
Knowl. Based Syst., 2023
Optical character recognition (OCR) using partial least square (PLS) based feature reduction: an application to artificial intelligence for biometric identification.
J. Enterp. Inf. Manag., 2023
Detection of anomaly in surveillance videos using quantum convolutional neural networks.
Image Vis. Comput., 2023
A Framework of Deep Learning and Selection-Based Breast Cancer Detection from Histopathology Images.
Comput. Syst. Sci. Eng., 2023
Power Spectral Density-Based Resting-State EEG Classification of First-Episode Psychosis.
CoRR, 2023
IEEE Access, 2023
2022
A two-stream deep neural network-based intelligent system for complex skin cancer types classification.
Int. J. Intell. Syst., December, 2022
Intelligent Tracking of Mechanically Thrown Objects by Industrial Catching Robot for Automated In-Plant Logistics 4.0.
Sensors, 2022
Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine.
Sensors, 2022
A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain.
Neural Comput. Appl., 2022
MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound images.
J. King Saud Univ. Comput. Inf. Sci., 2022
Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey.
Int. J. Multim. Inf. Retr., 2022
Int. J. E Health Medical Commun., 2022
Intell. Decis. Technol., 2022
Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection.
Expert Syst. J. Knowl. Eng., 2022
Special issue: Recent advances in deep learning, biometrics, health informatics and data science.
Expert Syst. J. Knowl. Eng., 2022
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition.
Expert Syst. J. Knowl. Eng., 2022
A Network Theory Investigation into the Altered Resting State Functional Connectivity in Attention-Deficit Hyperactivity Disorder.
CoRR, 2022
An integrated framework for COVID-19 classification based on classical and quantum transfer learning from a chest radiograph.
Concurr. Comput. Pract. Exp., 2022
FF-UNet: a U-Shaped Deep Convolutional Neural Network for Multimodal Biomedical Image Segmentation.
Cogn. Comput., 2022
Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network.
Cogn. Comput., 2022
Comput. Biol. Medicine, 2022
A shallow extraction of texture features for classification of abnormal video endoscopy frames.
Biomed. Signal Process. Control., 2022
Clothes Retrieval Using M-AlexNet With Mish Function and Feature Selection Using Joint Shannon's Entropy Pearson's Correlation Coefficient.
IEEE Access, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
A Decision Support System for Face Sketch Synthesis Using Deep Learning and Artificial Intelligence.
Sensors, 2021
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework.
Pattern Recognit. Lett., 2021
PeerJ Comput. Sci., 2021
J-LDFR: joint low-level and deep neural network feature representations for pedestrian gender classification.
Neural Comput. Appl., 2021
Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images.
J. Exp. Theor. Artif. Intell., 2021
A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection.
Image Vis. Comput., 2021
A Non-Blind Deconvolution Semi Pipelined Approach to Understand Text in Blurry Natural Images for Edge Intelligence.
Inf. Process. Manag., 2021
A complexity reduced and reliable integrity protection for large relational data over clouds.
Int. J. Inf. Comput. Secur., 2021
A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases.
EURASIP J. Image Video Process., 2021
Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification.
Comput. Electr. Eng., 2021
Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine.
Comput. Electr. Eng., 2021
Person re-identification using adversarial haze attack and defense: A deep learning framework.
Comput. Electr. Eng., 2021
Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification.
Appl. Soft Comput., 2021
Suspicious Activity Recognition Using Proposed Deep L4-Branched-Actionnet With Entropy Coded Ant Colony System Optimization.
IEEE Access, 2021
Categorizing the Students' Activities for Automated Exam Proctoring Using Proposed Deep L2-GraftNet CNN Network and ASO Based Feature Selection Approach.
IEEE Access, 2021
An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm.
IEEE Access, 2021
An Integrated Design Based on Dual Thresholding and Features Optimization for White Blood Cells Detection.
IEEE Access, 2021
Automated Localization and Segmentation of Left Ventricle in Cardiac MRI using Faster R-CNN.
Proceedings of the International Conference on Frontiers of Information Technology, 2021
Text Understandingform Natural Images with Enhanced Classiftcation using Genetic Algorithm.
Proceedings of the International Conference on Frontiers of Information Technology, 2021
2020
A framework for offline signature verification system: Best features selection approach.
Pattern Recognit. Lett., 2020
An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor.
Pattern Recognit. Lett., 2020
Facial expressions classification and false label reduction using LDA and threefold SVM.
Pattern Recognit. Lett., 2020
Developed Newton-Raphson based deep features selection framework for skin lesion recognition.
Pattern Recognit. Lett., 2020
Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection.
Pattern Recognit. Lett., 2020
Pattern Recognit. Lett., 2020
Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network.
Pattern Recognit. Lett., 2020
Human action recognition: a framework of statistical weighted segmentation and rank correlation-based selection.
Pattern Anal. Appl., 2020
Pattern Anal. Appl., 2020
Lung nodule detection and classification based on geometric fit in parametric form and deep learning.
Neural Comput. Appl., 2020
An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection.
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
Multim. Tools Appl., 2020
Fruits diseases classification: exploiting a hierarchical framework for deep features fusion and selection.
Multim. Tools Appl., 2020
An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection.
Multim. Tools Appl., 2020
Use of machine intelligence to conduct analysis of human brain data for detection of abnormalities in its cognitive functions.
Multim. Tools Appl., 2020
A Machine Learning Method with Threshold Based Parallel Feature Fusion and Feature Selection for Automated Gait Recognition.
J. Organ. End User Comput., 2020
J. Medical Syst., 2020
Neurocomputing, 2020
Int. J. Intell. Syst. Technol. Appl., 2020
IET Image Process., 2020
Cogn. Syst. Res., 2020
Cogn. Syst. Res., 2020
Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI.
Cogn. Syst. Res., 2020
Corrigendum to "Color-based template selection for detection of gastric abnormalities in video endoscopy" [Biomed. Signal Process. Control 56 (2020) February 101668].
Biomed. Signal Process. Control., 2020
Color-based template selection for detection of gastric abnormalities in video endoscopy.
Biomed. Signal Process. Control., 2020
Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition.
Appl. Soft Comput., 2020
A survey of feature extraction and fusion of deep learning for detection of abnormalities in video endoscopy of gastrointestinal-tract.
Artif. Intell. Rev., 2020
Recognition of Different Types of Leukocytes Using YOLOv2 and Optimized Bag-of-Features.
IEEE Access, 2020
Correction to "An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection".
IEEE Access, 2020
Deep Semantic Segmentation and Multi-Class Skin Lesion Classification Based on Convolutional Neural Network.
IEEE Access, 2020
An Integrated Design for Classification and Localization of Diabetic Foot Ulcer Based on CNN and YOLOv2-DFU Models.
IEEE Access, 2020
2019
Diagnosis and recognition of grape leaf diseases: An automated system based on a novel saliency approach and canonical correlation analysis based multiple features fusion.
Sustain. Comput. Informatics Syst., 2019
An implementation of optimized framework for action classification using multilayers neural network on selected fused features.
Pattern Anal. Appl., 2019
Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features.
Multim. Tools Appl., 2019
A 3D nodule candidate detection method supported by hybrid features to reduce false positives in lung nodule detection.
Multim. Tools Appl., 2019
Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection.
Multim. Tools Appl., 2019
Multi-level features fusion and selection for human gait recognition: an optimized framework of Bayesian model and binomial distribution.
Int. J. Mach. Learn. Cybern., 2019
J. Medical Syst., 2019
J. Medical Syst., 2019
A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning.
J. Medical Syst., 2019
Adaptive hysteresis thresholding segmentation technique for localizing the breast masses in the curve stitching domain.
Int. J. Medical Informatics, 2019
Int. Arab J. Inf. Technol., 2019
Comput. Methods Programs Biomed., 2019
An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection.
IEEE Access, 2019
Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019
Proceedings of the Handbook of Multimedia Information Security: Techniques and Applications., 2019
2018
Human action recognition: a construction of codebook by discriminative features selection approach.
Int. J. Appl. Pattern Recognit., 2018
License number plate recognition system using entropy-based features selection approach with SVM.
IET Image Process., 2018
Appearance based pedestrians' gender recognition by employing stacked auto encoders in deep learning.
Future Gener. Comput. Syst., 2018
Future Gener. Comput. Syst., 2018
Future Gener. Comput. Syst., 2018
Internet of Things (IoT) Operating Systems Support, Networking Technologies, Applications, and Challenges: A Comparative Review.
IEEE Commun. Surv. Tutorials, 2018
Computer Assisted Gastric Abnormalities Detection Using Hybrid Texture Descriptors for Chromoendoscopy Images.
Comput. Methods Programs Biomed., 2018
Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy.
Comput. Methods Programs Biomed., 2018
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection.
Comput. Electron. Agric., 2018
CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features.
Comput. Electron. Agric., 2018
An automated detection and classification of citrus plant diseases using image processing techniques: A review.
Comput. Electron. Agric., 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
Decision support system for detection of hypertensive retinopathy using arteriovenous ratio.
Artif. Intell. Medicine, 2018
2017
A method for the detection and classification of diabetic retinopathy using structural predictors of bright lesions.
J. Comput. Sci., 2017
J. Medical Syst., 2017
Int. J. Appl. Pattern Recognit., 2017
A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection.
EURASIP J. Image Video Process., 2017
Symptom based automated detection of citrus diseases using color histogram and textural descriptors.
Comput. Electron. Agric., 2017
Computer-based classification of chromoendoscopy images using homogeneous texture descriptors.
Comput. Biol. Medicine, 2017
2016
Automatic Cotton Wool Spots Extraction in Retinal Images Using Texture Segmentation and Gabor Wavelet.
J. Integr. Des. Process. Sci., 2016
J. Integr. Des. Process. Sci., 2016
2015
Smart Comput. Rev., 2015
2014
KSII Trans. Internet Inf. Syst., 2014
Face recognition using adaptive margin fisher's criterion and linear discriminant analysis (AMFC-LDA).
Int. Arab J. Inf. Technol., 2014
Int. Arab J. Inf. Technol., 2014
2013
Content Based Image Retrieval Using Combined Features of Shape, Color and Relevance Feedback.
KSII Trans. Internet Inf. Syst., 2013
Int. Arab J. Inf. Technol., 2013
Int. Arab J. Inf. Technol., 2013
2012
Single Image Face Recognition Using Laplacian of Gaussian and Discrete Cosine Transforms.
Int. Arab J. Inf. Technol., 2012
2009
2008
Time signatures - an implementation of Keystroke and click patterns for practical and secure authentication.
Proceedings of the Third IEEE International Conference on Digital Information Management (ICDIM), 2008