Tallha Akram

发表

Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features

Tallha Akram, Muhammad Attique Khan, Muhammad Sharif, 2018, Journal of Ambient Intelligence and Humanized Computing.

A deep heterogeneous feature fusion approach for automatic land-use classification

Syed Rameez Naqvi, Tallha Akram, A. FotsoKamgaGuy, 2018, Inf. Sci..

Precision Modeling: Application of Metaheuristics on Current–Voltage Curves of Superconducting Films

Syed Rameez Naqvi, Tallha Akram, Tassawar Iqbal, 2018, Electronics.

LSTM Neural Network Based Forecasting Model for Wheat Production in Pakistan

Muhammad Kamran, Aamir Shahzad, Syed Rameez Naqvi, 2019, Agronomy.

The model identification of an extended ARX (EARX) model

Tallha Akram, Haider Sajjad Ali, 2014 .

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.

Visual saliency detection using histogram-based contrast stretching

Shangbo Zhou, Muhammad Abubakar Siddique, Tallha Akram, 2014 .

A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection

Muhammad Younus Javed, Amjad Rehman, Muhammad Sharif, 2017, EURASIP J. Image Video Process..

Correction to "An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection"

Khursheed Aurangzeb, Syed Irtaza Haider, Tallha Akram, 2020, IEEE Access.

A dynamically reconfigurable logic cell: from artificial neural networks to quantum-dot cellular automata

Saba Iqbal, Syed Rameez Naqvi, Tallha Akram, 2018, Applied Nanoscience.

A multilevel features selection framework for skin lesion classification

Syed Rameez Naqvi, Majed Alhaisoni, Nadia N. Qadri, 2020, Human-centric Computing and Information Sciences.

Developed Newton-Raphson based deep features selection framework for skin lesion recognition

Muhammad Sharif, Syed Ahmad Chan Bukhari, Tallha Akram, 2020, Pattern Recognit. Lett..

Joint Placement and Device Association of UAV Base Stations in IoT Networks

Musaed Alhussein, Khursheed Aurangzeb, Tallha Akram, 2019, Sensors.

A Hybrid Approach for Image Segmentation in the IoT Era

Syed Rameez Naqvi, Nadia N. Qadri, Tallha Akram, 2019 .

Multicriteria UAV Base Stations Placement for Disaster Management

Muhammad Naeem, Tallha Akram, Muhammad Awais, 2020, IEEE Systems Journal.

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.

An optimization framework for dynamic pipeline management in computing systems

Syed Rameez Naqvi, Tallha Akram, Kumar Yelamarthi, 2019, Comput. Electr. Eng..

Improved strategy for human action recognition; experiencing a cascaded design

Muhammad Younus Javed, Syed Rameez Naqvi, Tallha Akram, 2020, IET Image Process..

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: A framework of marker‐based watershed algorithm and multilevel priority features selection

Muhammad Sharif, Tanzila Saba, Tallha Akram, 2019, Microscopy research and technique.

Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features

Majed Alhaisoni, Sumair Aziz, Tallha Akram, 2020, Sensors.

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

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

Reversible integer wavelet transform for blind image hiding method

Syed Rameez Naqvi, Zahid Mahmood, Tallha Akram, 2017, PloS one.

Automatic Scene Recognition through Acoustic Classification for Behavioral Robotics

Musaed Alhussein, Khursheed Aurangzeb, Sumair Aziz, 2019, Electronics.

The two-stage identification of an adaptive disturbance model for model predictive control

Tallha Akram, Haider Sajjad Ali, 2014 .

An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification

Musaed Alhussein, Khursheed Aurangzeb, Syed Irtaza Haider, 2018, BMC Cancer.

Towards real-time crops surveillance for disease classification: exploiting parallelism in computer vision

Muhammad Kamran, Syed Rameez Naqvi, Tallha Akram, 2017, Comput. Electr. Eng..

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..

License number plate recognition system using entropy-based features selection approach with SVM

Muhammad Younus Javed, Muhammad Sharif, Tanzila Saba, 2018, IET Image Process..

Image de-noising with subband replacement and fusion process using bayes estimators,

Syed Rameez Naqvi, Zahid Mahmood, Abdul Wahab, 2017, Comput. Electr. Eng..

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.

Towards Designing Asynchronous Microprocessors: From Specification to Tape-Out

Musaed Alhussein, Syed Rameez Naqvi, Khursheed Aurangzeb, 2019, IEEE Access.

CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

Muhammad Awais, Hashim Ali, Muhammad Sharif, 2018, Comput. Electron. Agric..

Human action recognition: a framework of statistical weighted segmentation and rank correlation-based selection

Jamal Hussain Shah, Tallha Akram, Muhammad Attique Khan, 2019, Pattern Analysis and Applications.

Entropy‐controlled deep features selection framework for grape leaf diseases recognition

Tanzila Saba, Tallha Akram, Muhammad Attique Khan, 2020, Expert Syst. J. Knowl. Eng..

Automatic detection of plant diseases; utilizing an unsupervised cascaded design

Syed Rameez Naqvi, Muhammad Kamran, Tallha Akram, 2018, 2018 15th International Bhurban Conference on Applied Sciences and Technology (IBCAST).

Lungs nodule detection framework from computed tomography images using support vector machine

Muhammad Awais, Tanzila Saba, Tallha Akram, 2019, Microscopy research and technique.

Stomach Deformities Recognition Using Rank-Based Deep Features Selection

Muhammad Sharif, Tallha Akram, Muhammad Attique Khan, 2019, Journal of Medical Systems.

An extensible neural design for saliency detection

Tallha Akram, Qichang Duan, Xi Che, 2014 .

Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion

Muhammad Sharif, Tanzila Saba, Tallha Akram, 2019, Microscopy research and technique.

Artificial neural networks based dynamic priority arbitration for asynchronous flow control

Muhammad Kamran, Syed Rameez Naqvi, Tallha Akram, 2016, Neural Computing and Applications.

Visual saliency detection using information contents weighting

Xiaogang Wang, Tallha Akram, Qichang Duan, 2016 .

An Optimization Framework for Codes Classification and Performance Evaluation of RISC Microprocessors

Muhammad Naeem, Syed Rameez Naqvi, Tallha Akram, 2019, Symmetry.

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..

Smart Devices Based Multisensory Approach for Complex Human Activity Recognition

Tallha Akram, Usman Tariq, Muhammad Attique Khan, 2022, Computers, Materials & Continua.

Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification

Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, 2021, Comput. Electr. Eng..

Video Analytics Framework for Human Action Recognition

Majed Alhaisoni, Yunyoung Nam, Tallha Akram, 2021 .

Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework

Muhammad Sharif, Tallha Akram, Muhammad Attique Khan, 2021, Pattern Recognit. Lett..

Multi-Class Skin Lesion Detection and Classification via Teledermatology

Khan Muhammad, Muhammad Attique Khan, Tallha Akram, 2021, IEEE Journal of Biomedical and Health Informatics.

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

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

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.

Classification of COVID-19 CT Scans via Extreme Learning Machine

Muhammad Attique Khan, Majed Alhaisoni, Yunyoung Nam, 2021 .

A joint framework of feature reduction and robust feature selection for cucumber leaf diseases recognition

Amjad Rehman, Muhammad Attique Khan, Muhammad Sharif, 2021 .

Towards Prevention of Sportsmen Burnout: Formal Analysis of Sub-Optimal Tournament Scheduling pdf

Adnan Ahmad, Syed Rameez Naqvi, M. Abdullah-Al-Wadud, 2022, Computers, Materials & Continua.

Recognition of Apple Leaf Diseases using Deep Learning and Variances-Controlled Features Reduction

Muhammad Attique Khan, Tallha Akram, Seifedine Kadry, 2021 .

Computer Decision Support System for Skin Cancer Localization and Classification

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