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Raffay Rizwan, Muhammad Naeem Shehzad and Muhammad Naeem Awais
Air transport is the fastest way to reach areas with no direct land routes for ambulances. This paper presents the development of a quadcopter-based rapid response unit in an efficient aerial aid system to eliminate the delay time for first aid supplies....
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Irum Khan, Muhammad Kashif Naeem, Armghan Shahzad, Zijin Zhang, Jing Chen and Muhammad Sajjad
Wheat pollen, which is characterized by its short lifespan, exhibits rapid germination after anthesis. The preservation of wheat pollen is contingent upon environmental factors including temperature, relative humidity, light, and wind. The aim is to expl...
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Salman Bin Naeem, Mehreen Azam, Maged N. Kamel Boulos and Rubina Bhatti
(1) Aims and Objectives: Mobile health (mHealth) is increasingly becoming a favorite healthcare delivery solution in underserved areas around the globe. This study aims to identify the influence of technology?organization?environment (TOE) factors on mHe...
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Mehreen Azam, Salman Bin Naeem, Maged N. Kamel Boulos and Anthony Faiola
This study was conducted with objectives to measure and validate the unified theory of the acceptance and use of technology (UTAUT) model as well as to identify the predictors of mobile health (mHealth) technology adoption among healthcare professionals ...
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Nasruzzaman Naeem,Serkan Cankaya
Pág. 1 - 25
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Muddasir Naeem, Tayyab Imran, Mukhtar Hussain and Arshad Saleem Bhatti
A low-cost medium-power carbon dioxide (CO2) laser system is designed, constructed, and characterized to produce coherent, monochromatic laser radiation in the infrared region. The laser cavity is simulated and designed by using ZEMAX optic studio. A swi...
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Zubair Baig, Naeem Syed and Nazeeruddin Mohammad
Drones are increasingly adopted to serve a smart city through their ability to render quick and adaptive services. They are also known as unmanned aerial vehicles (UAVs) and are deployed to conduct area surveillance, monitor road networks for traffic, de...
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Joseph Owusu, Naeem Hayat, Peter Kwasi Oppong, Wilberforce Owusu-Ansah
Pág. 86 - 97
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Sardar Naeem HAKIMZAI
Pág. 298 - 313
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Joseph M. Ackerson, Rushit Dave and Naeem Seliya
Recurrent Neural Networks are powerful machine learning frameworks that allow for data to be saved and referenced in a temporal sequence. This opens many new possibilities in fields such as handwriting analysis and speech recognition. This paper seeks to...
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Atif Rizwan, Naeem Iqbal, Rashid Ahmad and Do-Hyeun Kim
The generalization error of conventional support vector machine (SVM) depends on the ratio of two factors; radius and margin. The traditional SVM aims to maximize margin but ignore minimization of radius, which decreases the overall performance of the SV...
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Khurram Naeem, Bok Hyeon Kim, Dong-Jin Yoon and Il-Bum Kwon
We propose a weighted singular value decomposition (WSVD) to reduce the random noise in the Rayleigh backscattering signal of the phase-sensitive optical time domain reflectometry (F-OTDR) to enhance the detection performance of the distributed vibration...
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Ehtesham Ahmed, Firas Al Janabi, Jin Zhang, Wenyu Yang, Naeem Saddique and Peter Krebs
Water resources planning and management depend on the quality of climatic data, particularly rainfall data, for reliable hydrological modeling. This can be very problematic in transboundary rivers with limited disclosing of data among the riparian countr...
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Naeem Akram
Pág. 127 - 145
The household?s demand analysis is very crucial in the sense that undernourishment negatively affects productivity. Food demand is crucial to gauge the household?s ability or willingness to purchase/consume different food commodities. The study attempts ...
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Sidrah Liaqat, Kia Dashtipour, Adnan Zahid, Khaled Assaleh, Kamran Arshad and Naeem Ramzan
The atrial fibrillation (AF) is one of the most well-known cardiac arrhythmias in clinical practice, with a prevalence of 1?2% in the community, which can increase the risk of stroke and myocardial infarction. The detection of AF electrocardiogram (ECG) ...
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Ibrar Ullah, Irshad Hussain, Peerapong Uthansakul, M. Riaz, M. Naeem Khan and Jaime Lloret
Due to the rapid increase in human population, the use of energy in daily life is increasing day by day. One solution is to increase the power generation in the same ratio as the human population increase. However, that is usually not possible practicall...
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Wajeeha Sultan, Nadeem Anjum, Mark Stansfield and Naeem Ramzan
Salient-object detection is a fundamental and the most challenging problem in computer vision. This paper focuses on the detection of salient objects, especially in low-contrast images. To this end, a hybrid deep-learning architecture is proposed where f...
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M. M. Hafizur Rahman, Mohammed Al-Naeem, Mohammed N. M. Ali and Abu Sufian
In order to fulfill the increasing demand for computation power to process a boundless data concurrently within a very short time or real-time in many areas such as IoT, AI, machine learning, smart grid, and big data analytics, we need exa-scale or zetta...
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Tahir Mahmood,Rana Muhammad Ayyub,Muhammad Imran,Saira Naeem,Waseem Abbas
Pág. 158 - 164
This study examines the impact of behavioral factors over investment decision making and their performance. The primary data set collected through survey questionnaires from active investors of Pakistan stock exchange was used for the analysis. Furthermo...
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Marwah Naeem Hassooni Al-Kinani,Sumayyah Bukola Adetunmbi,Azham Hussain
Pág. pp. 47 - 56
This paper aims to discuss how journalism in a network has transformed the production and circulation of news and as gate keeping and motivation setting, from the action interdependence of ordinary people, journalists, organizations and advanced innovati...
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