Abdullah Nahid

Abdullah Nahid
Macquarie University · School of Engineering

PhD, Macquarie University, Sydney, Australia

About

99
Publications
72,430
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1,118
Citations

Publications

Publications (99)
Article
Full-text available
Lane detection plays a vital role in making the idea of the autonomous car a reality. Traditional lane detection methods need extensive hand-crafted features and post-processing techniques, which make the models specific feature-oriented, and susceptible to instability for the variations on road scenes. In recent years, Deep Learning (DL) models, e...
Article
Cardiac arrhythmia refers to irregularities in heartbeats. Left undiagnosed arrhythmias can cause severe and potentially fatal complications. As a result, early finding of such abnormalities is critical. Electrocardiogram (ECG) is regularly used by medical professionals to diagnose and differentiate cardiac arrhythmias. As a result, there have been...
Conference Paper
Activity recognition from human action data is quite a challenging task in the biomedical data science community. The main challenge in dealing with human activity recognition (HAR) datasets is their high cardinality. Therefore, reducing cardinality is a cardinal area of research in the HAR field. In this research, reducing the data dimensionality...
Article
Malaria is one of the most common diseases in the world. It is caused by Plasmodium parasites and spreads among humans by the bite of female Anopheles mosquitoes. Only in 2019, children under the age of five accounted for 67% of all malaria deaths. The diagnosing process of malaria can be error-prone due to an inexperienced pathologist and may take...
Conference Paper
Full-text available
Human Action Recognition (HAR) is an application-oriented field that utilizes numerous Machine Learning methods to identify diverse human actions or movements to provide an appropriate or suitable response. A HAR method's success largely depends on the performance of the algorithms for data processing and activity prediction working in the backgrou...
Conference Paper
Autonomous vehicles no longer belong to the realm of science fiction. They have become a prominent area of research in the last two decades because of the integration of Artificial Intelligence in the automobile industry. Apart from the development of various complex learning algorithms, the advancement of cameras, sensors, and geolocation technolo...
Article
Full-text available
We present the modeling of a porous core dispersion flatten photonic crystal fiber (PCF) for the fruitful transmission of THz signals. The model comprises only rectangular holes in both core and cladding areas. The model is numerically studied through simulation employing the finite element method (FEM)-based software. Simulation results disclose a...
Article
The grid connected photovoltaic (PV) power plants (PVPPs) are booming nowadays. The main problem facing the PV power plants deployment is the intermittency which leads to instability of the grid. In order to stabilize the grid, either energy storage device-mainly batteries-or a power curtailment technique can be used. The additional cost on utilizi...
Article
Electrification of rural islands is still a major challenge for many countries due to the inadequate and inchoate distribution of fossil fuels in conventional grid system. Even if these problems are eliminated, the high electricity cost makes rural people ineligible for electricity services. In addition to tackling environmental pollution, microgri...
Article
Full-text available
Diabetic Retinopathy (DR) refers to the damages endured by the retina as an effect of diabetes. DR has become a severe health concern worldwide, as the number of diabetes patients is soaring uncountably. Periodic eye examination allows doctors to detect DR in patients at an early stage to initiate proper treatments. Advancements in artificial intel...
Article
Full-text available
Electric motors perform the crucial task of converting electrical energy into essential mechanical energy on demand. Motors are plentifully used in the industrial sector all over the world to drive mechanical appliances. Despite being robust and sturdy, motors are not entirely fault-proof, and faults that are caused by the bearings trouble them the...
Conference Paper
Skin cancer is one of the worst diseases noticed in humankind. It beholds some types, which even experts find challenging to categorize. In recent times, neural network-based automated systems have been entitled to perform this difficult task for their amazing ability of pattern recognition. However, the challenge remains due to the requirement for...
Article
Full-text available
In Artificial Intelligence, Human Activity Recognition (HAR) refers to the capability of machines to identify various activities performed by the users. The knowledge acquired from these recognition systems is integrated into many applications where the associated device uses it to identify actions or gestures and performs predefined tasks in respo...
Article
Full-text available
Pneumonia is a fatal disease responsible for almost one in five child deaths worldwide. Many developing countries have high mortality rates due to pneumonia because of the unavailability of proper and timely diagnostic measures. Using machine learning-based diagnosis methods can help to detect the disease early and in less time and cost. In this st...
Article
Full-text available
A novel PCF-based sensor has been presented in this paper to sense different chemicals and biocomponents. The proposed biochemical sensor (BCS) comprises a simple arrangement of rectangular holes. The competence of this BCS in detecting analytes is evaluated employing the full-vector finite element method (FEM). Performance metrics prove the compet...
Article
Full-text available
The field of Medicine and Healthcare has attained revolutionary advancements in the last forty years. Within this period, the actual reasons behind numerous diseases were unveiled, novel diagnostic methods were designed, and new medicines were developed. Even after all these achievements, diseases like cancer continue to haunt us since we are still...
Preprint
Full-text available
Human Activity Recognition (HAR) simply refers to the capacity of a machine to perceive human actions. HAR is a prominent application of advanced Machine Learning and Artificial Intelligence techniques that utilize computer vision to understand the semantic meanings of heterogeneous human actions. This paper describes a supervised learning method t...
Preprint
Full-text available
Electromyography (EMG) is a way of measuring the bioelectric activities that take place inside the muscles. EMG is usually performed to detect abnormalities within the nerves or muscles of a target area. The recent developments in the field of Machine Learning allow us to use EMG signals to teach machines the complex properties of human movements....
Article
Full-text available
COVID-19 is a global epidemic. Till now, there is no remedy for this epidemic. However, isolation and social distancing are seemed to be effective preventive measures to control this pandemic. Therefore, in this article, an optimization problem is formulated that accommodates both isolation and social distancing features of the individuals. To prom...
Conference Paper
IoT (Internet of Things) is dominating all over the world for developing technology. It is another information industry following the computer, internet, and mobile connection. In modern society, we must ensure security for leading a comfortable life. Nowadays, security has been affected by different types of matters. Gas leakage and fire incidents...
Article
Full-text available
Breast cancer is a serious issue in today's medical science and for this reason, an accurate, as well as efficient detection technique of the breast cancer cell is urgent. Photonic crystal fiber (PCF) makes this process easier and unique since it has tremendous optical sensing capabilities. We represent a PCF sensor model for detecting the breast c...
Article
Full-text available
Water quality depends on many factors. Some of them are essential for maintaining the minimum sustainability of water. Because of the great dependence of fishes on the condition of the aquatic environment, the water quality can directly affect their activity. Therefore monitoring water quality is a very important issue to consider, especially in th...
Conference Paper
Full-text available
Uninterrupted and adequate electricity supply to the resident of rural areas is still a big challenge due to the shortage of national electricity production and a weak distribution system in many countries. Along with these issues, the current high Cost of Electricity (COE) is another hindrance of ensuring electricity for rural people. To mitigate...
Conference Paper
The deployment of grid connected photovoltaic (PV) power plants is increasing dramatically recently. Due to the intermittent nature of the PV power plant, a battery and/or a power curtailment controller has to be installed to maintain the stability of the distribution network. The battery is an additional cost in the system so the return on investm...
Article
Full-text available
Robotics is one of the many tools that is making a substantial difference as the world is experiencing the fourth industrial revolution. To ease control over this engineering marvel substantially, Reinforcement Learning (RL) has paved its way in recent years quite remarkably. RL enables robots to become self-aware towards carrying out a specific ta...
Data
Water quality depends on many factors. Among them some factors have direct effect in maintaining minimum sustainable environment. Any change in these parameters can affect them. Monitoring some of these mandatory water quality factors can help maintain water’s life sustainability. The following dataset contains parameters of three basic water quali...
Preprint
Full-text available
italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">COVID-19 is a global epidemic. Till now, there is no remedy for this epidemic. However, isolation and social distancing are seemed to be effective preventive measures to control this pandemic. Therefore, in this article, an optimization problem is form...
Preprint
Full-text available
At present, the whole world is witnessing a horrifying outbreak caused by the Coronavirus Disease 2019 (COVID-19). The virus responsible for this disease is called SARS-CoV-2. It affects its victims respiratory system and causes severe lung inflammation, making it harder for them to breathe. The virus is airborne, and so has a high infection rate....
Article
This dataset contains information on 18 different activities collected from 90 participants (75 male and 15 female) using smartphone sensors (Accelerometer and Gyroscope). It has 1945 raw activity samples collected directly from the participants, and 20,750 subsamples extracted from them. The dataset is hosted on Mendeley Data (https://data.mendel...
Preprint
Full-text available
At present, the whole world is witnessing a horrifying outbreak caused by the Coronavirus Disease 2019 (COVID-19). The virus responsible for this disease is called SARS-CoV-2. It affects its victims' respiratory system and causes severe lung inflammation, making it harder for them to breathe. The virus is airborne, and so has a high infection rate....
Article
Full-text available
Pneumonia is a virulent disease that causes the death of millions of people around the world. Every year it kills more children than malaria, AIDS, and measles combined and it accounts for approximately one in five child-deaths worldwide. The invention of antibiotics and vaccines in the past century has notably increased the survival rate of Pneumo...
Preprint
Full-text available
Diabetic retinopathy (DR) is the primary cause of vision loss among grownup people around the world. In four out of five cases having diabetes for a prolonged period leads to DR. If detected early, more than 90 percent of the new DR occurrences can be prevented from turning into blindness through proper treatment. Despite having multiple treatment...
Preprint
Full-text available
COVID-19 is a global epidemic. Till now, there is no remedy for this epidemic. However, isolation and social distancing are seemed to be effective to control this pandemic. In this paper, we provide an analytical model on the effectiveness of the sustainable lockdown policy that accommodates both isolation and social distancing features of the indi...
Preprint
Full-text available
COVID-19 is a global epidemic. Till now, there is no remedy for this epidemic. However, isolation and social distancing are seemed to be effective to control this pandemic. In this paper, we provide an analytical model on the effectiveness of the sustainable lockdown policy that accommodates both isolation and social distancing features of the indi...
Conference Paper
Full-text available
This paper introduces a method for flow monitoring through various supply lines by implementing a mathematical function, majority of which is dependent on standard deviation. Instead of including various sensors and numerous complex electrical connections which is still the common way to measure and monitor leakage or flow, this project just uses f...
Conference Paper
Full-text available
Diabetic retinopathy (DR) is the primary cause of vision loss among grown-up people around the world. In four out of five cases having diabetes for a prolonged period leads to DR. If detected early, more than 90% of the new DR occurrences can be prevented from turning into blindness through proper treatment. Despite having multiple treatment proced...
Conference Paper
Full-text available
Electromyography (EMG) is a way of measuring the bioelectric activities that take place inside the muscles. EMG is usually performed to detect abnormalities within the nerves or muscles of a target area. The recent developments in the field of Machine Learning allow us to use EMG signals to teach machines the complex properties of human movements....
Preprint
Full-text available
Diabetic retinopathy (DR) is the primary cause of vision loss among grown-up people around the world. In four out of five cases having diabetes for a prolonged period leads to DR. If detected early, more than 90% of the new DR occurrences can be prevented from turning into blindness through proper treatment. Despite having multiple treatment proced...
Preprint
Full-text available
Electromyography (EMG) is a way of measuring the bioelectric activities that take place inside the muscles. EMG is usually performed to detect abnormalities within the nerves or muscles of a target area. The recent developments in the field of Machine Learning allow us to use EMG signals to teach machines the complex properties of human movements....
Article
Full-text available
Breast Cancer is a serious threat to women. The identification of breast cancer relies heavily on histopathological image analysis. Among the different breast-cancer image analysis techniques, classifying the images into Benign and Malignant classes, have been an active area of research. The involvement of machine learning for breast-cancer image c...
Conference Paper
Full-text available
Human Activity Recognition (HAR) simply refers to the capacity of a machine to perceive human actions. HAR is a prominent application of advanced Machine Learning and Artificial Intelligence techniques that utilize computer vision to understand the semantic meanings of heterogeneous human actions. This paper describes a supervised learning method t...
Article
Full-text available
Among an electricity provider's non-technical losses, electricity theft has the most severe and dangerous effects. Fraudulent electricity consumption decreases the supply quality, increases generation load, causes legitimate consumers to pay excessive electricity bills, and affects the overall economy. The adaptation of smart grids can significantl...
Preprint
Full-text available
Human Activity Recognition (HAR) simply refers to the capacity of a machine to perceive human actions. HAR is a prominent application of advanced Machine Learning and Artificial Intelligence techniques that utilize computer vision to understand the semantic meanings of heterogeneous human actions. This paper describes a supervised learning method t...
Preprint
Full-text available
Observing the condition of the cardiovascular system is a vital task in the medical sector. The electrocardiogram (ECG) is such a tool that can be used to detect cardiovascular abnormalities. The advanced techniques of Machine Learning can help us to detect such abnormalities with the help of computers. But to effectively train the machine, we need...
Preprint
Full-text available
The number of diabetic patients is increasing rapidly every year all around the world, and the worst fact is that these patients suffer from a wide range of physical conditions directly associated with long-term diabetes. Diabetic Retinopathy (DR) is a perfect example which affects the eyes of more than 50% of all diabetes patients to some degree....
Preprint
Full-text available
Motors are the driving force of our industrial world, as they power approximately 85% of all rotating machines. This revolutionary invention has been through radical changes before entering into the commercial industries, and their present forms are very reliable, to say the least. However, despite being so robust, induction motors are not entirely...
Preprint
Full-text available
Anatomization of EMG signals is one of the building blocks of modern prostheses. As the goal is to build robotic arms whose functions are identical to the natural ones, EMG signals produced from various hand gestures and finger movements have received much attention in recent times. Surface EMG signals collected from the upper hand muscles show spe...
Conference Paper
Full-text available
Motors are the driving force of our industrial world, as they power approximately 85% of all rotating machines. This revolutionary invention has been through radical changes before entering into the commercial industries, and their present forms are very reliable, to say the least. However, despite being so robust, induction motors are not entirely...
Conference Paper
Full-text available
Anatomization of EMG signals is one of the building blocks of modern prostheses. As the goal is to build robotic arms whose functions are identical to the natural ones, EMG signals produced from various hand gestures and finger movements have received much attention in recent times. Surface EMG signals collected from the upper hand muscles show spe...
Conference Paper
Full-text available
The number of diabetic patients is increasing rapidly every year all around the world, and the worst fact is that these patients suffer from a wide range of physical conditions directly associated with long-term diabetes. Diabetic Retinopathy (DR) is a perfect example which affects the eyes of more than 50% of all diabetes patients to some degree....
Conference Paper
Full-text available
Observing the condition of the cardiovascular system is a vital task in the medical sector. The electrocardiogram (ECG) is such a tool that can be used to detect cardiovascular abnormalities. The advanced techniques of Machine Learning can help us to detect such abnormalities with the help of computers. But to effectively train the machine, we need...
Article
Full-text available
Various technological devices have been developed to meet the ever-increasing demand of today’s cities. Cities, as we can see today, have become highly technology-oriented. However, technological advancement comes at a cost which in this case is the environment of our planet. Therefore, it is necessary to design green cities, which impose as less h...
Article
Full-text available
Various technological devices have been developed to meet the ever-increasing demand of today's cities. Cities, as we can see today, have become highly technology-oriented. However, technological advancement comes at a cost which in this case is the environment of our planet. Therefore, it is necessary to design green cities, which impose as less h...
Preprint
Full-text available
Eye disease has become serious concern to people, specially who have been suffering from diabetes . Systematic eye diseases are manifest in around the retina of an eye. Digital photography of the retinal images provide a significant information about the disease. This kind of retinal images work as a powerful source for the doctors and ophthalmolog...
Conference Paper
Full-text available
Monitoring the condition of rolling element bearing and diagnosing their faults are cumbrous jobs. Fortunately, we have machines to do the burdensome task for us. The contemporary development in the field of machine learning allows us not only to extract features from fault signals accurately but to analyze them and predict future bearing faults al...
Conference Paper
Full-text available
Epileptic seizure is a neurological disorder characterized by abnormal synchronous discharge of the neuronal activities in the brain structures. These abnormal electrical activities can be recorded via multi-channel electroencephalography (EEG) signals placed on the scalp of the brain. Usually, these signals, recorded from this EEG device, are inte...