Abid Mehmood

King Faisal University

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Qazi Mudassar Ilyas

King Faisal University

Dayang N. A. Jawawi

University of Technology Malaysia

Muhammad Anwar

Armed Forces Institute of Pathology

Yonis Gulzar

King Faisal University

Muneer Ahmad

Concordia University

Syed Muhammad Saqlan Naqvi

Pir Mehr Ali Shah Arid Agriculture University

Sajid Iqbal

King Faisal University

Sayed Murtaza Hassan Andrabi

Pakistan Agricultural Research Council

S. M. H. Andrabi

Pakistan Agricultural Research Council

Sajjad Ali

University of Malakand

Cooperative Institutions

King Faisal University

Pir Mehr Ali Shah Arid Agriculture University

COMSATS University Islamabad

University of Technology Malaysia

Riphah International University

Balochistan University of Information Technology, Engineering and Management Sciences

University of Business and Technology

University of Sargodha

University of the Punjab

International Islamic University Malaysia

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Role of Machine Learning in Handling the COVID-19 Pandemic

Advances in logistics, operations, and management science book series (2022)

Sadia Aziz Qazi Mudassar Ilyas Abid Mehmood Ashfaq Ahmad

Since its appearance in late 2019, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has become a significant threat to human health and public safety. Machine learning has been extensively exploited in the past to solve a range of problems in everyday life. It has also played its role in virtually all aspects of pandemic management, ranging from early detection and contact tracing to vaccine and drugs development and treatment. This chapter discusses some of the ways in which machine learning-based solutions have helped. In this regard, computer vision approaches have been used for the early detection of disease. Contact tracing has been enhanced by machine learning models to improve distance estimation techniques. Similarly, machine learning techniques have been used to accurately predict mortality rates to optimize resource management. These techniques have also helped in the otherwise tedious processes of vaccine and drugs development in numerous ways, such as providing insights into drug target interactions and possibilities of repurposing the existing drugs.

Pandemic

Repurposing

Contact tracing

Coronavirus

Tracing

10.4018/978-1-7998-9201-4.ch011

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Citations (1)

SBXception: A Shallower and Broader Xception Architecture for Efficient Classification of Skin Lesions

Cancers (2023)

Abid Mehmood Yonis Gulzar Qazi Mudassar Ilyas Abdoh Jabbari Muneer Ahmad

Skin cancer is a major public health concern around the world. Skin cancer identification is critical for effective treatment and improved results. Deep learning models have shown considerable promise in assisting dermatologists in skin cancer diagnosis. This study proposes SBXception: a shallower and broader variant of the Xception network. It uses Xception as the base model for skin cancer classification and increases its performance by reducing the depth and expanding the breadth of the architecture. We used the HAM10000 dataset, which contains 10,015 dermatoscopic images of skin lesions classified into seven categories, for training and testing the proposed model. Using the HAM10000 dataset, we fine-tuned the new model and reached an accuracy of 96.97% on a holdout test set. SBXception also achieved significant performance enhancement with 54.27% fewer training parameters and reduced training time compared to the base model. Our findings show that reducing and expanding the Xception model architecture can greatly improve its performance in skin cancer categorization.

Base (topology)

Training set

10.3390/cancers15143604

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Citations (31)

In vitro fertilization of vitrified-warmed oocytes by frozen thawed semen of breeding buffalo bulls.

Pakistan Journal of Zoology (2011)

Abid Mehmood S. M. H. Andrabi Muhammad Anwar

Vitrified-warmed oocytes are now considered to be a regular source of supply for in vitro fertilization (IVF) technique and therefore present study was undertaken to compare the best of several combinations of dimethyl sulfoxide (DMSO) and 1,2-propanediol (PROH) for the vitrification of buffalo oocytes. Dimethyl sulfoxide (DMSO) and PROH at a concentration of 6 M were used as cryoprotectant agents (CPAs) to vitrify oocytes at germinal vesicle stage (GV) or in vitro matured oocytes at metaphase II stage (M II). In vitro fertilization rate (cleavage rate and cleavage index) was compared to examine the treatment effect in experiment I. Frozen-thawed semen of four artificial insemination donor bulls was used to compare IVF rate of vitrified-warmed oocytes in experiment II. Overall oocyte surviving after vitrified-warming procedures was 89.6%. Cleavage rate and cleavage index of GV stage oocytes vitrified in PROH did not differ (P>0.05) from those of fresh oocytes (control). The GV oocytes vitrified in DMSO or M-II oocytes vitrified in PROH and DMSO showed significantly less (P<0.05) cleavage rate and cleavage index as compared with fresh oocytes. Therefore, GV stage oocytes vitrified in PROH were further used to check the post-thawed viability of buffalo bull semen on the basis of IVF rate. Cleavage rate was better with frozen-thawed semen of bulls number 01 and 24 (P<0.05) with no difference in the cleavage index among four bulls. In conclusion, vitrification of GV stage oocytes in 6 M 1,2-propanediol was more effective. The vitrified-warmed oocytes with this method were successfully used to check the viability of buffalo bull semen by IVF technique.

Cryoprotectant

Germinal vesicle

Vitrification

Cleavage (geology)

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Citations (1)

In vitro viability and longevity of cooled Beetal buck spermatozoa extended in skimmed milk and Tris-citric acid based extenders

Small Ruminant Research (2016)

S. M. H. Andrabi Abid Mehmood Muhammad Anwar M. Fatahullah Khan

Boer goat

Membrane integrity

10.1016/j.smallrumres.2016.09.002

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Citations (6)

Review of Knowledge Enhanced Electronic Logic (KEEL) Technology

Abid Mehmood Gunendran Sivapragasam

Keel

Source

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Citations (0)

In vitro maturation and fertilization of buffalo oocytes: the effect of recovery and maturation methods

DergiPark (Istanbul University) (2011)

Abid Mehmood Muhammad Anwar Sayed Murtaza Hassan Andrabi Muhammad Afzal Syed Muhammad Saqlan Naqvi

Conditions for in vitro maturation (IVM) of primary oocytes without conventionally used fetal calf serum and hormones were optimized in order to reduce the cost of laboratory produced buffalo embryos. Comparisons were made between oocyte recovery methods (aspiration vs. slicing) and IVM in medium 199 (static culture method vs. flux culture method) supplemented with 4-5 × 10 6 granulosa cells mL-1 that contained either estrus buffalo serum (EBS) or fetal calf serum (FCS). Recovery methods were compared according to yield, i.e. cumulus oocyte complexes per ovary (COCs/ovary), the expansion rate (% of COCs that expanded), and nuclear maturation rate (% of germinal vesicle breakdown (GVBD)), following IVM for 22-24 h. In vitro maturation methods (static culture with EBS or FCS and Flux culture with EBS or FCS) were compared on the basis of the expansion rate and in vitro fertilization rate (cleavage rate). COC recovery with the slicing method (2.2 COCs/ovary) was better (P < 0.05) than with aspiration (0.9 COCs/ovary). However, the IVM rate was better (P < 0.05) based on expansion (86% vs. 63%) and GVBD (85% vs. 62%) with aspiration than with the slicing method. The cleavage rate (37%) was significantly better with the static culture containing EBS than with the static culture with FCS or the flux culture with either EBS or FCS. It was concluded that aspiration of oocytes and subsequent IVM with static culture containing EBS would be a potential method to reduce the cost of laboratory produced buffalo embryos.

In vitro maturation

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Citations (12)

Sperm sexing in Nili-Ravi buffalo through modified swim up: Validation using SYBR ® green real-time PCR

Animal Reproduction Science (2017)

Asma-ul-Husna Muhammad Amjad Awan Abid Mehmood Tasawar Sultana Qaisar Shahzad

Sexing

Semen quality

10.1016/j.anireprosci.2017.04.011

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Citations (33)

Test Suite Optimization Using Machine Learning Techniques: A Comprehensive Study

IEEE Access (2024)

Abid Mehmood Qazi Mudassar Ilyas Muneer Ahmad Zhongliang Shi

Test suite

10.1109/access.2024.3490453

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Citations (0)

A quantitative assessment of aspect design notations with respect to reusability and maintainability of models

Abid Mehmood Dayang N. A. Jawawi

Aspect-oriented design notations improve the reusability and maintainability of models by means of separating crosscutting concerns from the core functionality of the system. However, as different design notations propose dissimilar ways of modeling and composing the crosscutting and core concerns, the capabilities of aspect design notations with regards to producing highly reusable and maintainable models may also vary. In this paper, we apply a selected set of aspect modeling notations to a modeling scenario and evaluate them with respect to reusability and maintainability of the obtained models. For this purpose, we have used different metrics related to well-known software engineering attributes that affect the reusability and maintainability of produced design. The results reveal that the Reusable Aspect Models performs well against majority of the employed metrics.

Reusability

Maintainability

Separation of concerns

10.1109/mysec.2014.6986003

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Citations (4)

Aspect-oriented model-driven code generation: A systematic mapping study

Information and Software Technology (2012)

Abid Mehmood Dayang N. A. Jawawi

Maintainability

Reusability

Code (set theory)

10.1016/j.infsof.2012.09.003

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Citations (48)