Towards real-time crops surveillance for disease classification: exploiting parallelism in computer vision. - Tallha Akram; Syed Rameez Naqvi; Sajjad Ali Haider; Muhammad Kamran (Comput. Electr. Eng., 2017)

A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection. - Muhammad Sharif 001; Muhammad Attique Khan; Tallha Akram; Muhammad Younus Javed; Tanzila Saba; Amjad Rehman (EURASIP J. Image Video Process., 2017)

CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features. - Muhammad Attique Khan; Tallha Akram; Muhammad Sharif 001; Muhammad Awais 004; Kashif Javed; Hashim Ali 002; Tanzila Saba (Comput. Electron. Agric., 2018)

Image de-noising with subband replacement and fusion process using bayes estimators, . - Muhammad Nazeer; Nargis Bibi; Abdul Wahab 002; Zahid Mahmood; Tallha Akram; Syed Rameez Naqvi; Hyun Sook Oh; Dai-Gyoung Kim (Comput. Electr. Eng., 2018)

License number plate recognition system using entropy-based features selection approach with SVM. - Muhammad Attique Khan; Muhammad Sharif 001; Muhammad Younus Javed; Tallha Akram; Mussarat Yasmin; Tanzila Saba (IET Image Process., 2018)

A deep heterogeneous feature fusion approach for automatic land-use classification. - Guy Armel Fotso Kamga; Tallha Akram; Laurent Bitjoka; Syed Rameez Naqvi; Alex Mengue Mbom; Muhammad Nazeer (Inf. Sci., 2018)

Artificial neural networks based dynamic priority arbitration for asynchronous flow control. - Syed Rameez Naqvi; Tallha Akram; Sajjad Ali Haider; Muhammad Kamran (Neural Comput. Appl., 2018)

An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection. - Muhammad Attique Khan; Muhammad Ikram Ullah Lali; Muhammad Sharif 001; Kashif Javed; Khursheed Aurangzeb; Syed Irtaza Haider; Abdulaziz S. Altamrah; Tallha Akram (IEEE Access, 2019)

Towards Designing Asynchronous Microprocessors: From Specification to Tape-Out. - Zaheer Tabassam; Syed Rameez Naqvi; Tallha Akram; Musaed A. Alhussein; Khursheed Aurangzeb; Sajjad Ali Haider (IEEE Access, 2019)

An optimization framework for dynamic pipeline management in computing systems. - Syed Rameez Naqvi; Anjum Zahid; Lina Sawalha; Syed Saud Naqvi; Tallha Akram; Sajjad Ali Haider; Kumar Yelamarthi; Maksim Jenihhin (Comput. Electr. Eng., 2019)

Stomach Deformities Recognition Using Rank-Based Deep Features Selection. - Muhammad Attique Khan; Muhammad Sharif 001; Tallha Akram; Mussarat Yasmin; Ramesh Sunder Nayak (J. Medical Syst., 2019)

Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection. - Muhammad Attique Khan; Muhammad Rashid 002; Muhammad Sharif 001; Kashif Javed; Tallha Akram (Multim. Tools Appl., 2019)

An implementation of optimized framework for action classification using multilayers neural network on selected fused features. - Muhammad Attique Khan; Tallha Akram; Muhammad Sharif 001; Muhammad Younus Javed; Muhammad Nazeer; Mussarat Yasmin (Pattern Anal. Appl., 2019)

Joint Placement and Device Association of UAV Base Stations in IoT Networks. - Ashfaq Ahmed; Muhammad Awais 004; Tallha Akram; Selman Kulac; Musaed A. Alhussein; Khursheed Aurangzeb (Sensors, 2019)

An Optimization Framework for Codes Classification and Performance Evaluation of RISC Microprocessors. - Syed Rameez Naqvi; Ali Roman; Tallha Akram; Majed M. Alhaisoni; Muhammad Naeem 001; Sajjad Ali Haider; Omer Chughtai; Muhammad Awais 004 (Symmetry, 2019)

Correction to "An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection". - Muhammad Attique Khan; Muhammad Ikram Ullah Lali; Muhammad Sharif 001; Kashif Javed; Khursheed Aurangzeb; Syed Irtaza Haider; Abdulaziz S. Altamrah; Tallha Akram (IEEE Access, 2020)

Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition. - Muhammad Attique Khan; Muhammad Sharif 001; Tallha Akram; Mudassar Raza; Tanzila Saba; Amjad Rehman (Appl. Soft Comput., 2020)

A multilevel features selection framework for skin lesion classification. - Tallha Akram; Hafiz M. Junaid Lodhi; Syed Rameez Naqvi; Sidra Naeem; Majed Alhaisoni; Muhammad Ali; Sajjad Ali Haider; Nadia N. Qadri (Hum. centric Comput. Inf. Sci., 2020)

Improved strategy for human action recognition; experiencing a cascaded design. - Muhammad Attique Khan; Tallha Akram; Muhammad Sharif 001; Muhammad Nazeer; Muhammad Younus Javed; Syed Rameez Naqvi (IET Image Process., 2020)

An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection. - Muhammad Attique Khan; Tallha Akram; Muhammad Sharif 001; Kashif Javed; Mudassar Raza; Tanzila Saba (Multim. Tools Appl., 2020)

Fruits diseases classification: exploiting a hierarchical framework for deep features fusion and selection. - Muhammad Attique Khan; Tallha Akram; Muhammad Sharif 001; Tanzila Saba (Multim. Tools Appl., 2020)

An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection. - Muhammad Attique Khan; Tallha Akram; Muhammad Sharif 001; Kashif Javed; Muhammad Rashid 002; Syed Ahmad Chan Bukhari (Neural Comput. Appl., 2020)

Human action recognition: a framework of statistical weighted segmentation and rank correlation-based selection. - Muhammad Sharif 001; Muhammad Attique Khan; Farooq Zahid; Jamal Hussain Shah; Tallha Akram (Pattern Anal. Appl., 2020)

Developed Newton-Raphson based deep features selection framework for skin lesion recognition. - Muhammad Attique Khan; Muhammad Sharif 001; Tallha Akram; Syed Ahmad Chan Bukhari; Ramesh Sunder Nayak (Pattern Recognit. Lett., 2020)

Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features. - Sumair Aziz; Muhammad Umar Khan; Majed Alhaisoni; Tallha Akram; Muhammad Altaf (Sensors, 2020)

Multicriteria UAV Base Stations Placement for Disaster Management. - Tallha Akram; Muhammad Awais 004; Syed Rameez Naqvi; Ashfaq Ahmed; Muhammad Naeem 001 (IEEE Syst. J., 2020)

Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine. - Muhammad Attique Khan; Seifedine Nimer Kadry; Yudong Zhang 001; Tallha Akram; Muhammad Sharif 001; Amjad Rehman; Tanzila Saba (Comput. Electr. Eng., 2021)

Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification. - Muhammad Attique Khan; Yudong Zhang 001; Muhammad Sharif 001; Tallha Akram (Comput. Electr. Eng., 2021)

Towards Prevention of Sportsmen Burnout: Formal Analysis of Sub-Optimal Tournament Scheduling. - Syed Rameez Naqvi; Adnan Ahmad; S. M. Riazul Islam; Tallha Akram; Mohammad Abdullah-Al-Wadud; Atif Alamri (CoRR, 2021)

A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases. - Muhammad Attique Khan; Tallha Akram; Muhammad Sharif 001; Majed Alhaisoni; Tanzila Saba; Nadia Nawaz (EURASIP J. Image Video Process., 2021)

A Non-Blind Deconvolution Semi Pipelined Approach to Understand Text in Blurry Natural Images for Edge Intelligence. - Ghulam Jillani Ansari; Jamal Hussain Shah; Muhammad Attique Khan; Muhammad Sharif 001; Usman Tariq; Tallha Akram (Inf. Process. Manag., 2021)

A novel framework for rapid diagnosis of COVID-19 on computed tomography scans. - Tallha Akram; Muhammad Attique Khan; Salma Gul; Aamir Shahzad; Muhammad Altaf; Syed Rameez Naqvi; Robertas Damasevicius; Rytis Maskeliunas (Pattern Anal. Appl., 2021)

Correction to a novel framework for rapid diagnosis of COVID-19 on computed tomography scans. - Tallha Akram; Muhammad Attique Khan; Salma Gul; Aamir Shahzad; Muhammad Altaf; Syed Rameez Naqvi; Robertas Damasevicius; Rytis Maskeliunas (Pattern Anal. Appl., 2021)

Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework. - Muhammad Attique Khan; Tallha Akram; Yudong Zhang 001; Muhammad Sharif 001 (Pattern Recognit. Lett., 2021)

Expert Hypertension Detection System Featuring Pulse Plethysmograph Signals and Hybrid Feature Selection and Reduction Scheme. - Muhammad Umar Khan; Sumair Aziz; Tallha Akram; Fatima Amjad; Khushbakht Iqtidar; Yunyoung Nam; Muhammad Attique Khan (Sensors, 2021)

Multi-Class Skin Lesion Detection and Classification via Teledermatology. - Muhammad Attique Khan; Khan Muhammad 001; Muhammad Sharif 001; Tallha Akram; Victor Hugo C. de Albuquerque (IEEE J. Biomed. Health Informatics, 2021)

A novel hybrid meta-heuristic contrast stretching technique for improved skin lesion segmentation. - Shairyar Malik; S. M. Riazul Islam; Tallha Akram; Syed Rameez Naqvi; Norah Saleh Alghamdi; George Baryannis (Comput. Biol. Medicine, 2022)

Entropy-controlled deep features selection framework for grape leaf diseases recognition. - Alishba Adeel; Muhammad Attique Khan; Tallha Akram; Abida Sharif; Mussarat Yasmin; Tanzila Saba; Kashif Javed (Expert Syst. J. Knowl. Eng., 2022)

A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration Signals. - Muhammad Altaf; Tallha Akram; Muhammad Attique Khan; Muhammad Iqbal 003; M. Munawwar Iqbal Ch; Ching-Hsien Hsu (Sensors, 2022)

A two-stream deep neural network-based intelligent system for complex skin cancer types classification. - Muhammad Attique Khan; Muhammad Sharif 001; Tallha Akram; Seifedine Kadry 001; Ching-Hsien Hsu (Int. J. Intell. Syst., 2022)

Priority-Based Efficient Deployment of UAVs with Resource Constraints in Mission-Critical Networks. - Rooha Masroor; Muhammad Naeem 001; Tallha Akram; Alagan Anpalagan; Waleed Ejaz (ICC Workshops, 2023)

SkinNet-ENDO: Multiclass skin lesion recognition using deep neural network and Entropy-Normal distribution optimization algorithm with ELM. - Muhammad Attique Khan; Tallha Akram; Yudong Zhang 001; Majed Alhaisoni; Abdullah Al Hejaili; Khalid Adel Shaban; Usman Tariq; Muhammad H. Zayyan (Int. J. Imaging Syst. Technol., 2023)

Optimal stratified placement of balloons and UAVs to support users' coverage. - Rooha Masroor; Muhammad Naeem 001; Tallha Akram; Abdullah M. Almasoud; Waleed Ejaz (Internet Things, 2023)

BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification. - Muhammad Ajmal; Muhammad Attique Khan; Tallha Akram; Abdullah Alqahtani 001; Majed Alhaisoni; Ammar Armghan; Sara A. Althubiti; Fayadh Alenezi (Neural Comput. Appl., 2023)

A Novel Deep Learning Framework With Meta-Heuristic Feature Selection for Enhanced Remote Sensing Image Classification. - Bilal Ahmed; Tallha Akram; Syed Rameez Naqvi; Anas Alsuhaibani; Youssef N. Altherwy; Usman Masud (IEEE Access, 2024)

XcelNet14: A Novel Deep Learning Framework for Aerial Scene Classification. - Bilal Ahmed; Tallha Akram; Syed Rameez Naqvi; Anas Alsuhaibani; Muhammad Attique Khan; Naoufel Kraiem (IEEE Access, 2024)

Remote Sensing Insights: Leveraging Advanced Machine Learning Models and Optimization for Enhanced Accuracy in Precision Agriculture. - Youssef N. Altherwy; Ali Roman; Syed Rameez Naqvi; Anas Alsuhaibani; Tallha Akram (IEEE Access, 2024)

An expert system for leukocyte classification using probabilistic deep feature optimization via distribution estimation. - Muhammad Awais 004; Tallha Akram; Areej Alasiry; Mehrez Marzougui; Jongwoon Park; Byoungchol Chang (Int. J. Appl. Math. Comput. Sci., 2024)

Dermo-Optimizer: Skin Lesion Classification Using Information-Theoretic Deep Feature Fusion and Entropy-Controlled Binary Bat Optimization. - Tallha Akram; Anas Alsuhaibani; Muhammad Attique Khan; Sajid Ullah Khan; Syed Rameez Naqvi; Mohsin Bilal (Int. J. Imaging Syst. Technol., 2024)

Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features. - Tallha Akram; Muhammad Attique Khan; Muhammad Sharif 001; Mussarat Yasmin (J. Ambient Intell. Humaniz. Comput., 2024)

Intelligent fusion-assisted skin lesion localization and classification for smart healthcare. - Muhammad Attique Khan; Khan Muhammad 001; Muhammad Sharif 001; Tallha Akram; Seifedine Kadry 001 (Neural Comput. Appl., 2024)

CG-Net: A novel CNN framework for gastrointestinal tract diseases classification. - Samra Siddiqui; Tallha Akram; Imran Ashraf; Muddassar Raza; Muhammad Attique Khan; Robertas Damasevicius (Int. J. Imaging Syst. Technol., 2024)

Energy-Efficient Discrete Cosine Transform Architecture Using Reversible Logic for IoT-Enabled Consumer Electronics. - Muhammad Awais 004; Wilayat Khan; Tallha Akram; Yunyoung Nam (IEEE Access, 2025)

Role of Visual Saliency in Video Quality Assessments. - Syeda Eesha-Tir-Razia; Qaisar Abbas; Imran Fareed Nizami; Adil Ali Raja; Mutlaq B. Aldajani; Mudasir Wahab; Tallha Akram; Sadiq Ahmad (IEEE Access, 2025)

A Novel Approach for Dental X-Ray Enhancement and Caries Detection. - Sajid Ullah Khan; Sultan Alanazi; Fahdah Almarshad; Tallha Akram (Int. J. Imaging Syst. Technol., 2025)

A review on automated plant disease detection: motivation, limitations, challenges, and recent advancements for future research. - Sajid Ullah Khan; Anas Alsuhaibani; Abdulrahman Alabduljabbar; Fahdah Almarshad; Youssef N. Altherwy; Tallha Akram (J. King Saud Univ. Comput. Inf. Sci., 2025)

A Hybrid Deep Learning-ViT Model and A Meta-Heuristic Feature Selection Algorithm for Efficient Remote Sensing Image Classification. - Bilal Ahmed; Syed Rameez Naqvi; Tallha Akram; Lu Peng 001; Fahdah Almarshad (Int. J. Comput. Intell. Syst., 2025)