Ajmal Khan

Woosong University

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Farman Ullah

Kohat University of Science and Technology

You-Ze Cho

Kyungpook National University

Zeeshan Kaleem

COMSATS University Islamabad

Mohammed M. Bait‐Suwailam

Sultan Qaboos University

Shams Rahman

COMSATS University Islamabad

Jae-Choong Nam

Kyungpook National University

Umar Farooq

COMSATS University Islamabad

Muhammad Bilal

Lancaster University

Kyung Sup Kwak

Inha University

M. Iqbal Choudhary

International Center for Chemical and Biological Sciences

Cooperative Institutions

Institute for Health Metrics and Evaluation

851

University of Washington

812

University of Sydney

193

University of Electronic Science and Technology of China

167

Tehran University of Medical Sciences

158

Institute for Musculoskeletal Health

143

Veterans Health Administration

127

Royal North Shore Hospital

106

University College London

Northern Sydney Local Health District

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Prototype for Integration of colorization and super resolution model using machine learning

2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (2021)

Anirudh Lodh Utkarsh Saxena Ajmal Khan K.A. Patel Himey Atulkumar S. Sountharranjan

Colorization is the process of converting black and white images to color digitally. On the other hand, super resolution is the process of enhancing the quality of low-resolution pictures by converting them into high resolution, while maintaining the original details of the picture. The idea behind our implementation is to combine these two machine learning models. The combined model will take in old, blurry, hazed images as input and produce colorized, detailed and high-resolution image as an output. This research work has utilized various machine learning and computer vision techniques to accomplish this task. For colorization, classification based deep learning model was utilized. For super resolution, Post-up-sampling convolutional neural networks have been used.

10.1109/icirca51532.2021.9544827

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Prototype for Integration of Face Mask Detection and Person Identification Model – COVID-19

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2020)

Anirudh Lodh Utkarsh Saxena Ajmal Khan Anand Motwani L. Shakkeera

As people across the globe are combating the widespread COVID-19 pandemic and it becomes very essential to develop new technologies to analyse and fight against the disease spread. The most essential protection against corona virus is Face Mask and as the day surpasses scientist and Doctors have recommended everyone to wear the mask. Therefore, to distinguish the individuals wearing Face Mask, various identification procedures are available. Veils are prescribed as a straightforward obstruction to protect the respiratory beads from going into the air and onto others, when the individual is found to be wearing the cover hacks, wheezes, talks, or raises their voice. Moreover, this is called source control. This proposal depends on the present idea about the job respiratory beads that play a main role in the spread of the COVID-19 infection, matched with developing proof from clinical and research center examinations that show covers and decrease the splash of drops, when worn over the nose and mouth. Coronavirus spreads essentially among individuals who are in close contact with each other (inside around 6 feet), so the utilization of veils is especially significant in settings where individuals are near one another or where social removing is hard to keep up. CDC's suggestions for masks will be updated as new logical proof. Our project is more of a real-world application, the proposed face mask detection platform utilizes artificial network to identify the person with and without mask. If a person is not wearing a mask, then the proposed platform will send a notification to the person if he or she is in the database of the platform. MobileNet_V2 neural networks are used as our classification algorithm and the face recognition module is also used for the person identification model

Identification

Face masks

2019-20 coronavirus outbreak

10.1109/iceca49313.2020.9297399

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Citations (19)

ChemInform Abstract: Transition‐Metal‐Free Synthesis of Oxazoles: Valuable Structural Fragments in Drug Discovery

ChemInform (2016)

Aliya Ibrar Imtiaz Khan Naeem Abbas Umar Farooq Ajmal Khan

Abstract Review: [153 refs.

10.1002/chin.201648260

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V2I-VTL: IoT-Enabled adaptive traffic light controller and emission reduction at intersection

PeerJ Computer Science (2024)

Ajmal Khan Shams Rahman Farman Ullah Muhammad Ilyas Khattak Mohammed M. Bait‐Suwailam

Traffic congestion is a growing concern in urban centers worldwide, leading to significant delays, particularly for emergency vehicles such as fire trucks and ambulances. This not only increases emergency response time but also the risk of life and property loss. To address this issue, our research introduces a traffic control system that prioritizes emergency vehicle egress and mitigates intersection congestion. Other than validation through simulation, the system’s efficacy is further substantiated by real-world hardware implementation. The system employs an access point (AP) at intersections to receive location and direction data from approaching vehicles. Emergency vehicles are given precedence, while non- emergency vehicle data is used to adjust traffic light durations, thereby optimizing the traffic flow. The simulation results demonstrate the system’s reduced lane opening times and average waiting periods for emergency vehicles. Advancing from simulation to application, we have executed a real-world hardware validation at a high-traffic intersection. This phase entailed the precise installation and calibration of the necessary hardware components, transitioning from theoretical models to practical, operational technology. The hardware setup confirms the system’s practical viability and offers a more comprehensive assessment of its impact on traffic efficiency and emergency response times. This dual approach of simulation and hardware validation provides a thorough evaluation of the system’s capabilities, establishing a foundation for future traffic management solutions. Additionally, the implementation of the system leads to a notable reduction in CO2 emissions at intersections, contributing to environmental sustainability efforts.

10.7717/peerj-cs.2507

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ACK-based broadcast protocol for vehicular ad hoc networks

Ajmal Khan Jae-Choong Nam You-Ze Cho

This paper proposes a new vehicular broadcast protocol that can operate in a dense as well as in sparse highway traffic scenarios. ACK-CAST is a distributed multihop broadcast protocol that relies on acknowledgment messages from one-hop neighbors to select next rebroadcasting vehicle in VANETs. The performance of the proposed scheme was compared with SERVUS. Simulation results demonstrate that the proposed scheme performs better in terms of efficiency, reliability and scalability.

10.1109/icufn.2013.6614837

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Optical screening of hepatitis-B infected blood sera using optical technique and neural network classifier

Photodiagnosis and Photodynamic Therapy (2019)

E.U. Khan Rahat Ullah Ruby Ashraf Ajmal Khan Shamim Khan

10.1016/j.pdpdt.2019.07.001

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Citations (10)

Syntheses of 4,6-dihydroxypyrimidine diones, their urease inhibition, in vitro, in silico, and kinetic studies

Bioorganic Chemistry (2017)

Munira Taj Muhammad Khalid Mohammed Khan Arshia Arshia Ajmal Khan Fiza Arshad

IC50

Docking (animal)

10.1016/j.bioorg.2017.08.018

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Citations (13)

Design, synthesis, in vitro Evaluation and docking studies on dihydropyrimidine-based urease inhibitors

Bioorganic Chemistry (2017)

Faiza Jan Iftikhar Yousaf Ali Farooq Ahmad Kiani Syed Fahad Hassan Tabeer Fatima

Docking (animal)

10.1016/j.bioorg.2017.07.003

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Citations (34)

In vivo study on analgesic, gastrointestinal tract (GIT) motility, and anti-termite potential of methanolic extract of Sarcococca saligna (D. Don) Muell. fruits

South African Journal of Botany (2017)

Bashir Ahmad Syeda Sohaila Naz Abdur Rauf Shumaila Bashir Ajmal Khan

The current paper summarizes the evaluation of the alcoholic extract of Sarcococca saligna (D. Don) Mull. fruits for acute toxicity, analgesic, GIT motility modulation, and anti-termite properties. The extract was evaluated for analgesic activity using acetic acid-induced writhing model while charcoal meal model was adopted for GIT motility estimation in mice. The fruit extract exhibited significant analgesic and GIT motility potential at 700, 1000 mg/kg i.p. in comparison to standard drug (Diclofenac sodium). The extract also showed good anti-termite activity. The extract was also evaluated for toxicological effects which showed that the fruit extract is safe for the consumption of mice at 1000 mg/kg i.p.

Diclofenac Sodium

10.1016/j.sajb.2017.10.013

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Citations (9)

Improved AntHocNet with Bidirectional Path Setup and Loop Avoidance

The Journal of Korean Institute of Communications and Information Sciences (2017)

Shams Rahman Jae-Choong Nam Ajmal Khan You-Ze Cho

MANET (Mobile Ad hoc Network)에서 라우팅은 네트워크 토폴로지의 동적인 변화에 큰 영향을 받는다. AntHocNet은 집단 개미가 최적 경로를 통해 먹이를 찾아가는 원리를 모방한 집단생태 특성 기반 MANET 라우팅 프로토콜이다. 하지만, AntHocNet은 다른 MANET 라우팅 프로토콜과 달리 단방향 경로만을 지원하여 양방향 통신이 요구되는 다양한 응용 환경에서 사용하기에 많은 제약이 따른다. 또한, AntHocNet은 다중 경로를 통한 확률적 라우팅으로 인해 루핑 문제 (looping problems)를 빈번히 발생시킨다. 본 논문에서는 AntHocNet에서 양방향 경로 수립을 위한 향상된 경로 수립 방안을 제안한다. 또한, 다양한 시나리오별 루핑 문제의 발생 원인을 분석하고 루프 방지를 위한 해결 방안을 제시한다. NS-2 시뮬레이션을 통해 기존 AntHocNet과의 성능을 비교하였으며, 제안 방안이 라우팅 오버헤드, 종단간 지연 시간, 패킷 전달률 측면에서 기존 방안에 비해 우수한 성능을 보임을 확인하였다. Routing in mobile ad hoc networks (MANETs) is highly challenging because of the dynamic nature of network topology. AntHocNet is a bio-inspired routing protocol for MANETs that mimics the foraging behavior of ants. However, unlike many other MANET routing protocols, the paths constructed in AntHocNet are unidirectional, which requires a separate path setup if a route in the reverse direction is also required. Because most communication sessions are bidirectional, this unidirectional path setup approach is often inefficient. Moreover, AntHocNet suffers from looping problems because of its property of multiple paths and stochastic data routing. In this paper, we propose a modified path setup procedure that constructs bidirectional paths. We also propose solutions to some of the looping problems in AntHocNet. Simulation results show that performance is significantly enhanced in terms of overhead, end-to-end delay, and delivery ratio when loops are prevented. Performance is further improved, in terms of overhead, when bidirectional paths setup is employed.

10.7840/kics.2017.42.1.64

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Citations (2)