- vaccines and immunoinformatics approaches
- COVID-19 diagnosis using AI
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Brain Tumor Detection and Classification
- Animal Virus Infections Studies
- Viral gastroenteritis research and epidemiology
- Radiomics and Machine Learning in Medical Imaging
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Computational Drug Discovery Methods
- Machine Learning in Bioinformatics
- Parental Involvement in Education
- Gait Recognition and Analysis
- Influenza Virus Research Studies
- Biochemical and Structural Characterization
- Human Pose and Action Recognition
- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
- AI in cancer detection
- Machine Learning and ELM
- Advanced X-ray and CT Imaging
- Image Processing Techniques and Applications
- Face recognition and analysis
- Glycosylation and Glycoproteins Research
University of Management and Technology
2020-2023
University of Gujrat
2020-2023
Information Technology University
2020-2023
HITEC University
2019-2023
University of Veterinary and Animal Sciences
2020
Islamia University of Bahawalpur
2012-2019
Since the emergence of COVID-19, thousands people undergo chest X-ray and computed tomography scan for its screening on everyday basis. This has increased workload radiologists, a number cases are in backlog. is not only case but other abnormalities needing radiological diagnosis as well. In this work, we present an automated technique rapid COVID-19 images. The proposed consists four primary steps: (1) data collection normalization, (2) extraction relevant features, (3) selection most...
Gait is a vital biometric process for human identification in the domain of machine learning. In this article, new method implemented gait recognition based on accurate segmentation and multi-level features extraction. Four major steps are performed including: a) enhancement motion region frame by implementation linear transformation with HSI color space; b) Region Interest (ROI) detection parallel optical flow background subtraction; c) shape geometric extraction fusion; d) Multi-class...
Owing to technological developments, Medical image analysis has received considerable attention in the rapid detection and classification of diseases. The brain is an essential organ humans. Brain tumors cause loss memory, vision, name. In 2020, approximately 18,020 deaths occurred due tumors. These cases can be minimized if a tumor diagnosed at very early stage. Computer vision researchers have introduced several techniques for classification. However, owing many factors, this still...
B-cell epitopes have the capability to recognize and attach surface of antigen receptors stimulate immune system against pathogens. Identification from antigens has a great significance in several biomedical biotechnological applications, provides support development therapeutics, design an epitope-based vaccine antibody production. However, identification with experimental mapping approaches is challenging job usually requires extensive laboratory efforts. considerable efforts been placed...
International Journal of Geometric Methods in Modern PhysicsAccepted Papers No AccessDynamic solitary wave Pulse speed with dual-power law refractive index homogeneous optical waveguidesKhurrem Shehzad, Jun Wang, Muhammad Arshad, Attique, and Aly R. SeadawyKhurrem Wang Search for more papers by this author , Arshadhttps://orcid.org/0000-0003-2694-5961 Attique Seadawy https://doi.org/10.1142/S021988782550104XCited by:0 (Source: Crossref) PreviousNext...
Peptides, short-chained amino acids, have shown great potentials toward the investigation and evolution of novel medications for treatment or therapy. The wet-lab based discovery potential therapeutic peptides eventually drug development is a hard time-consuming process. computational prediction using machine learning (ML) methods can expedite facilitate process prospects with effects. ML approaches been practiced favorably extensively within area proteins, DNA, RNA to discover hidden...
Characterization of tissues like brain by using magnetic resonance (MR) images and colorization the gray scale image has been reported in literature, along with advantages drawbacks. Here, we present two independent methods; (i) a novel method to underscore variability MR images, indicative underlying physical density bio tissue, (ii) segmentation (both hard soft segmentation) characterize images. The segmented are then transformed into color above-mentioned method, yielding promising...
ABSTRACT Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections has affected more than 15 million people and, as of 22 July 2019, caused deaths 0.6 individuals globally. With the excretion SARS-CoV-2 in stool symptomatic and asymptomatic COVID-19 patients, its genome detection sewage water can be used a powerful epidemiological tool to predict number positive cases population. This study was conducted detect during lockdown. Sewage samples, from 28 pre-selected sites, were...
We, the Editor and Publisher of World's Poultry Science Journal, have retracted following article:S. Umar, S. Sarfraz, A. Mushtaq & M. Attique 'Emerging threat H9N2 viruses in poultry Pakistan vaccination strategy' (2016) 72:2, 343-352 https://doi.org/10.1017/S0043933916000179The above article has been as, subsequent to publication, significant duplication found content 'Introduction,' 'Emergence evolution LPAI H9N2,' 'Future prospects AI vaccination,' 'Conclusion' sections with earlier...
B-Cell epitopes (BCEs) can identify and bind with receptor proteins (antigens) to initiate an immune response against pathogens. Understanding antigen-antibody binding interactions has many applications in biotechnology biomedicine, including designing antibodies, therapeutics, vaccines. Lab-based experimental identification of these is time-consuming challenging. Computational techniques have been proposed discover BCEs, but most lack significant accomplishments. This work uses classical...
Face image analysis is one among several important cues in computer vision. Over the last five decades, methods for face have received immense attention due to large scale applications various tasks. parsing strongly benefits human tasks inducing pose estimation. In this paper we propose a 3D head estimation framework developed through prior end deep model. We an parts segmentation convolutional neural networks (DCNNs). For training model, label images seven different classes, including...
We report the use of M-mode swept source optical coherence tomography (SS-OCT) for measuring sodium chloride (NaCl) salt concentrations in liquid phantoms and drawn whole blood based on temporal dynamics light scattering. The Brownian motion scattering particle is affected due to change viscosity liquid. An autocorrelation function was determined from power spectrum SS-OCT signal then fit by mono double exponential obtain decorrelation time. These translational times corresponding diffusion...
Several autoimmune ailments and inflammation-related diseases emphasize the need for peptide-based therapeutics their treatment established substantial consideration. Though, wet-lab experiments investigation of anti-inflammatory proteins/peptides ("AIP") are usually very costly remain time-consuming. Therefore, before investigations, it is essential to develop in-silico identification models classify prospective candidates facilitation drug development process. prediction tools have been...
"Emerging threat of H9N2 viruses in poultry Pakistan and vaccination strategy." World's Poultry Science Journal, 74(1), p. 155
The purpose of conducting this research was to study the impact motivation on teachers and students efficiency school effectiveness. It a descriptive which had sample 60 government high schools situated in urban rural area District Bahawalpur, Punjab, Pakistan. Self-administrative questionnaires comprising 30 statements were used collect data from 240 randomly selected students. results analysis recognized that have strong their own effectiveness whereas parental choice is also affected by...
ABSTRACT Renessans is an iodine complex which has proven in vitro antiviral activity including Anti-SARS-CoV-2 activity. The present study was designed to determine its efficacy against SARS-CoV-2 monkeys ( Rhesus macaque ). A total of 14 were divided into four groups: A) Prophylactic group (n=03), (B) Treatment (C) infection control (n=04) and (D) negative housed BSL-3 Animal facility while D at another animal house. Group administered with @ 2.85 mg/7 kg from 5 days prior the 08 post...
The concept of fifth-generation warfare (5GW) is becoming increasingly relevant in modern times. Unlike traditional warfare, 5GW fought an unconventional manner using information propaganda, and cyber-attacks. goal not to defeat the enemy militarily, but rather destabilize their society psychologically mentally through a long-term war that operates beyond geographical boundaries limitations. In this context, there pressing need raise awareness about importance light Islamic teachings. Qur'an...
In the recent decade, digitalization of various tasks has added great flexibility to human lifestyle and changed daily routine activities communities. Image segmentation is a key step in digitalization. Segmentation plays role almost all areas image processing, approaches have been proposed for segmentation. this paper, novel approach using nonuniform adaptive strategy. Region-based along with directional binary pattern generated better segmented image. An mask 8 × was circulated over pixels...