Muhammad Sharif

发表

Union is Strength: Improving face sketch synthesis by fusing outcomes of Fully-Convolutional-Networks and Random Sampling Locality Constraint

M. Raza, Seungmin Rho, Seifedine Kadry, 2022, Alexandria Engineering Journal.

An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection

Muhammad Rashid, Syed Ahmad Chan Bukhari, Tallha Akram, 2019, Neural Computing and Applications.

Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection

Tanzila Saba, Mudassar Raza, Tanzila Saba, 2019, Expert Syst. J. Knowl. Eng..

Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine

Muhammad Attique Khan, U. Tariq, Muhammad Sharif, 2022, Sensors.

A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain

Nadia Gul, Muhammad Sharif, M. A. Anjum, 2022, Neural Computing and Applications.

Human action recognition: a construction of codebook by discriminative features selection approach

Muhammad Younus Javed, Muhammad Sharif, Muhammad Attique Khan, 2018, Int. J. Appl. Pattern Recognit..

Airway Clearance in Bronchiectasis : A Randomized Control Trial with N-Acetylcysteine and 3 % Hypertonic Saline

Muhammad Sharif, M. A. Mannan, A. Rauf, 2019 .

A Blockchain based Framework for Stomach Abnormalities Recognition

Syed Ahmad Chan Bukhari, Inzamam Mashood Nasir, M. Alhaisoni, 2021, Computers, Materials & Continua.

Role of statins in controlling cough and improving lung function and exercise capacity in bronchiectasis patients.

Muhammad Sharif, S. Naqvi, A. Rauf, 2020 .

Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network

S. Kadry, Nadia Gul, Muhammad Sharif, 2021, Cognitive Computation.

A deep neural network and classical features based scheme for objects recognition: an application for machine inspection

Tanzila Saba, Muhammad Attique Khan, Sajid Ali Khan, 2020, Multimedia Tools and Applications.

Fruits and Vegetable Diseases Recognition Using Convolutional Neural Networks

Yunyoung Nam, Seifedine Kadry, Javaria Amin, 2022, Computers, Materials & Continua.

Deep Learning-based Classification of Fruit Diseases: An Application for Precision Agriculture

Yunyoung Nam, Asima Bibi, Khalid Iqbal, 2021 .

An implementation of optimized framework for action classification using multilayers neural network on selected fused features

Muhammad Younus Javed, Tallha Akram, Muhammad Attique Khan, 2019, Pattern Analysis and Applications.

Brain tumor detection and classification using machine learning: a comprehensive survey

Mussarat Yasmin, Muhammad Sharif, A. Haldorai, 2021, Complex & Intelligent Systems.

Brain tumor detection using fusion of hand crafted and deep learning features

Tanzila Saba, Muhammad Sharif, Javeria Amin, 2020, Cognitive Systems Research.

Use of machine intelligence to conduct analysis of human brain data for detection of abnormalities in its cognitive functions

Mudassar Raza, Tanzila Saba, Muhammad Sharif, 2019, Multimedia Tools and Applications.

A deep network designed for segmentation and classification of leukemia using fusion of the transfer learning models

Muhammad Sharif, Muhammad Almas Anjum, Javeria Amin, 2021, Complex & Intelligent Systems.

A two‐stream deep neural network‐based intelligent system for complex skin cancer types classification

Muhammad Attique Khan, S. Kadry, Tallha Akram, 2021, Int. J. Intell. Syst..

An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection

Muhammad Attique Khan, T. Saba, Tallha Akram, 2020, Multimedia Tools and Applications.

A decision support system for multimodal brain tumor classification using deep learning

Musaed Alhussein, Khursheed Aurangzeb, Muhammad Attique Khan, 2021, Complex & Intelligent Systems.

Brain tumor detection: a long short-term memory (LSTM)-based learning model

Tanzila Saba, Mudassar Raza, Javaria Amin, 2019, Neural Computing and Applications.

A survey of feature extraction and fusion of deep learning for detection of abnormalities in video endoscopy of gastrointestinal-tract

Mubashir Husain Rehmani, Muhammad Sharif, Mussarat Yasmin, 2019, Artificial Intelligence Review.

Prosperous Human Gait Recognition: an end-to-end system based on pre-trained CNN features selection

Imran Ashraf, Tanzila Saba, Muhammad Attique Khan, 2020, Multimedia Tools and Applications.

Categorizing white blood cells by utilizing deep features of proposed 4B-AdditionNet-based CNN network with ant colony optimization

Jamal Hussain Shah, Mudassar Raza, Muhammad Sharif, 2021, Complex & Intelligent Systems.

Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection

Ehsan Ullah Munir, Muhammad Attique Khan, Muhammad Sharif, 2018, J. Ambient Intell. Humaniz. Comput..

Intelligent fusion-assisted skin lesion localization and classification for smart healthcare

Tallha Akram, Muhammad Attique Khan, Muhammad Sharif, 2021, Neural Computing and Applications.

Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification

Muhammad Attique Khan, Mamta Mittal, Muhammad Sharif, 2021, Appl. Soft Comput..

Text Detection and Classification from Low Quality Natural Images

Ghulam Jillani Ansari, S. Rehman, J. H. Shah, 2020, Intelligent Automation & Soft Computing.

MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound images

Muhammad Sharif, Ahmed Iqbal, 2021, J. King Saud Univ. Comput. Inf. Sci..

An improved framework for brain tumor analysis using MRI based on YOLOv2 and convolutional neural network

Abida Sharif, Muhammad Sharif, Javeria Amin, 2021, Complex & Intelligent Systems.

Detection of Brain Tumor based on Features Fusion and Machine Learning

Muhammad Sharif, Mudassar Raza, Mussarat Yasmin, 2018, J. Ambient Intell. Humaniz. Comput..

Gastrointestinal Tract Infections Classification Using Deep Learning

Muhammad Attique Khan, M. Raza, Yunyoung Nam, 2021, Computers, Materials & Continua.

Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI

Syed Ahmad Chan Bukhari, Mudassar Raza, Javaria Amin, 2020, Cognitive Systems Research.

Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection

Muhammad Rashid, Tallha Akram, Muhammad Attique Khan, 2019, Multimedia Tools and Applications.

A unified patch based method for brain tumor detection using features fusion

Muhammad Nazeer, Javaria Amin, Muhammad Almas Anjum, 2020, Cognitive Systems Research.

Brain tumor detection based on extreme learning

Muhammad Sharif, Mudassar Raza, Javaria Amin, 2020, Neural Computing and Applications.

DeepLabv3+-Based Segmentation and Best Features Selection Using Slime Mould Algorithm for Multi-Class Skin Lesion Classification

Seifedine Kadry, Muhammad Sharif, G. A. Mallah, 2023, Mathematics.

Computer Decision Support System for Skin Cancer Localization and Classification

Muhammad Attique Khan, Yunyoung Nam, Tallha Akram, 2021 .

Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images

Muhammad Rashid, Muhammad Attique Khan, Muhammad Sharif, 2019, J. Exp. Theor. Artif. Intell..

Detection of anomaly in surveillance videos using quantum convolutional neural networks

R. G. Crespo, Seifedine Kadry, Muhammad Sharif, 2023, Image Vis. Comput..

J-LDFR: joint low-level and deep neural network feature representations for pedestrian gender classification

Muhammad Sharif, Mudassar Raza, Mussarat Yasmin, 2020, Neural Computing and Applications.

Person re-identification with features-based clustering and deep features

Muhammad Sharif, Tassawar Iqbal, Mudassar Raza, 2019, Neural Computing and Applications.

Liver Tumor Localization Based on YOLOv3 and 3D-Semantic Segmentation Using Deep Neural Networks

A. Nadeem, Seifedine Kadry, Muhammad Sharif, 2022, Diagnostics.

Convolutional Bi-LSTM Based Human Gait Recognition Using Video Sequences

Yunyoung Nam, Seifedine Kadry, Javaria Amin, 2021, Computers Materials & Continua.

A review on federated learning towards image processing

J. H. Shah, U. Tariq, M. A. Khan, 2022, Comput. Electr. Eng..

Fruits diseases classification: exploiting a hierarchical framework for deep features fusion and selection

Muhammad Attique Khan, T. Saba, Tallha Akram, 2020, Multimedia Tools and Applications.

Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition

Amjad Rehman, Tanzila Saba, Muhammad Sharif, 2020, Appl. Soft Comput..

3D-semantic segmentation and classification of stomach infections using uncertainty aware deep neural networks

Javaria Amin, Muhammad Sharif, Ramesh Sunder Nayak, 2021, Complex & Intelligent Systems.

FF-UNet: a U-Shaped Deep Convolutional Neural Network for Multimodal Biomedical Image Segmentation

Muhammad Attique Khan, M. Alhaisoni, M. W. Nisar, 2022, Cognitive Computation.

A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases

Muhammad Attique Khan, Majed Alhaisoni, Tanzila Saba, 2021, EURASIP Journal on Image and Video Processing.

Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features

Mudassar Raza, Muhammad Rashid, Muhammad Attique Khan, 2018, Multimedia Tools and Applications.

Person re-identification using adversarial haze attack and defense: A deep learning framework

Jamal Hussain Shah, Muhammad Attique Khan, Mussarat Yasmin, 2021, Comput. Electr. Eng..

An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm

Mylène C. Q. Farias, Jamal Hussain Shah, Muhammad Sharif, 2021, IEEE Access.

Detection of glaucoma based on cup-to-disc ratio using fundus images

Tanzila Saba, Muhammad Attique Khan, Jun Ma, 2020, Int. J. Intell. Syst. Technol. Appl..

Offline signature verification system: a novel technique of fusion of GLCM and geometric features using SVM

Kashif Javed, Aaqif Afzaal Abbasi, Faiza Eba Batool, 2020, Multimedia Tools and Applications.

Deep Learning and Kurtosis-Controlled, Entropy-Based Framework for Human Gait Recognition Using Video Sequences

Muhammad Attique Khan, Robertas Damaševičius, Muhammad Nazir, 2022, Electronics.

Two-Stream Deep Learning Architecture-Based Human Action Recognition

M. Alhaisoni, U. Tariq, Muhammad Sharif, 2023, Computers, Materials & Continua.

A Cascaded Design of Best Features Selection for Fruit Diseases Recognition

Seifedine Kadry, Muhammad Sharif, Usman Tariq, 2022, Computers, Materials & Continua.

A novel approach for scene text extraction from synthesized hazy natural images

Ghulam Jillani Ansari, S. Rehman, J. H. Shah, 2019, Pattern Analysis and Applications.

A Non-Blind Deconvolution Semi Pipelined Approach to Understand Text in Blurry Natural Images for Edge Intelligence

Jamal Hussain Shah, Tallha Akram, Muhammad Attique Khan, 2021, Inf. Process. Manag..

Mango Leaf Disease Identification Using Fully Resolution Convolutional Network

Muhammad Sharif, Ghulam Jillani Ansari, Rabia Saleem, 2021, Computers, Materials & Continua.

Explainable Neural Network for Classification of Cotton Leaf Diseases

Seifedine Kadry, Muhammad Sharif, M. A. Anjum, 2022, Agriculture.

Detection of brain space-occupying lesions using quantum machine learning

Muhammad Sharif, M. A. Anjum, Javaria Amin, 2023, Neural Computing and Applications.

3D Semantic Deep Learning Networks for Leukemia Detection

Yunyoung Nam, Mudassar Raza, Javaria Amin, 2021, Computers, Materials & Continua.

An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection

Tanzila Saba, Tallha Akram, Muhammad Attique Khan, 2020, Multimedia Tools and Applications.