78 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of SindhPK3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Ferrari (Italy)IT2 papers
- Istituto Nazionale di Ricerca MetrologicaIT2 papers
- Koç UniversityTR2 papers
- Politecnico di TorinoIT2 papers
- University of SalentoIT2 papers
- Aalto UniversityFI1 paper
- AGH University of KrakowPL1 paper
- BG Klinikum DuisburgDE1 paper
- Brigham and Women's HospitalUS1 paper
- Center for Behavioral Brain SciencesDE1 paper
17 papers
HUMAID-NER: A Disaster Tweet Dataset for Joint Named Entity Recognition and Event Classification via Uncertainty-Weighted Multitask Learning
Aijaz Ali, Nazish Basir, Sarfaraz Nawaz +2
Rapid extraction of structured information from social media is important for humanitarian response, yet existing disaster tweet resources mainly provide document-level category la…
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery
Irene Alisjahbana, Jiawei Li, Ben +2
Satellite imagery has played an increasingly important role in post-disaster building damage assessment. Unfortunately, current methods still rely on manual visual interpretation,…
Dynamics of bubble migration in a square channel flow of a viscoelastic fluid
Hafiz Usman Naseer, Daulet Izbassarov, Zaheer Ahmed +1
Cross-stream migration of a deformable bubble is investigated computationally in a pressure-driven channel flow of a viscoelastic fluid via interface-resolved simulations. The flow…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
Leveraging Natural Language Processing For Public Health Screening On YouTube: A COVID-19 Case Study
Ahrar Bin Aslam, Zafi Sherhan Syed, Muhammad Faiz Khan +2
Background: Social media platforms have become a viable source of medical information, with patients and healthcare professionals using them to share health-related information and…
Mesoscopic modeling and experimental validation of thermal and mechanical properties of polypropylene nanocomposites reinforced by graphene-based fillers
Atta Muhammad, Rajat Srivastava, Nikos Koutroumanis +7
The development of nanocomposites relies on structure-property relations, which necessitate multiscale modeling approaches. This study presents a modelling framework that exploits…
The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: A machine learning approach
Sachit Mishra, Rajat Srivastava, Atta Muhammad +4
Hybrid electric vehicles and portable electronic systems use supercapacitors for energy storage owing to their fast charging discharging rates, long life cycle, and low maintenance…
A neural network based heading and position control system of a ship
Shahroz Unar, Mukhtiar Ali Unar, Zubair Ahmed Memon +1
Heading and position control system of ships has remained a challenging control problem. It is a nonlinear multiple input multiple output system. Moreover, the dynamics of the syst…
Polymer drag reduction in surfactant-contaminated turbulent bubbly channel flows
Daulet Izbassarov, Zaheer Ahmed, Pedro Costa +3
Polymer additives are commonly utilized to manipulate bubbly flows in various applications. Here, we investigate the effects of clean and contaminated bubbles driven upwards (upflo…
Crime Analysis using Open Source Information
Sarwat Nizamani, Nasrullah Memon, Azhar Ali Shah +3
In this paper, we present a method of crime analysis from open source information. We employed un-supervised methods of data mining to explore the facts regarding the crimes of an…
Time Efficient Data Migration among Clouds
Syeda Munazza Marium, Liaquat Ali Thebo, Syed Naveed Ahmed jaffari +1
Cloud computing is one of the chief requirement of modern IT trade. Today's cloud industry progressively dependent on it, which lead mutually abundant solutions and challenges. Amo…
A mathematical Study of Magnetohydrodynamic Casson Fluid via Special Functions with Heat and Mass Transfer embedded in Porous Plate
Kashif Ali Abro, Hina Saeed Shaikh, Ilyas Khan
This article is proposed to investigate the impacts of heat and mass transfer in magnetohydrodynamic casson fluid embedded in porous medium. The generalized solutions have been tra…
Harmonics Mitigation of Industrial Power System Using Passive Filters
Zubair Ahmed Memon, Mohammad Aslam Uquaili, Mukhtiar Ali Unar
With the development of modern industrial technology a large number of non-linear loads are used in power system, which causes harmonic distortion in the power system. At the same…
Design of Three-Phase Hybrid Active Power Filter for Compensating the Harmonic Currents of Three-Phase System
Zubair Ahmed Memon, Mohammad Aslam Uqaili, Mukhtiar Ali Unar
Power quality standards (IEEE-519) require to limit the total harmonic distortion within satisfactory range caused by power electronic based devices. Our work deals with the design…
Channel Equalization Using Multilayer Perceptron Networks
Saba Baloch, Javed Ali Baloch, Mukhtiar Ali Unar
In most digital communication systems, bandwidth limited channel along with multipath propagation causes ISI (Inter Symbol Interference) to occur. This phenomenon causes distortion…
Parametric Study of Nonlinear Adaptive Cruise Control for a Road Vehicle Model by MPC
Zeeshan Ali Memon, Mukhtiar Ali Unar, Dur Muhammad Pathan
MPC (Model Predictive Control) techniques, with constraints, are applied to a nonlinear vehicle model for the development of an ACC (Adaptive Cruise Control) system for transitiona…
From Public Outrage to the Burst of Public Violence: An Epidemic-Like Model
Sarwat Nizamani, Nasrullah Memon, Serge Galam
This study extends classical models of spreading epidemics to describe the phenomenon of contagious public outrage, which eventually leads to the spread of violence following a dis…