Niloy Sikder

Rhine-Waal University of Applied Sciences · Faculty of Technology and Bionics

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...

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...

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...

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...

Citizen science allows the public to participate in various stages of scientific research, including study design, data acquisition, and data analysis. Citizen science has a long history in several fields of the natural sciences, and with recent developments in wearable technology, neuroscience has also become more accessible to citizen scientists....

Viruses are submicroscopic agents that can infect other lifeforms and use their hosts’ cells to replicate themselves. Despite having simplistic genetic structures among all living beings, viruses are highly adaptable, resilient, and capable of causing severe complications in their hosts’ bodies. Due to their multiple transmission pathways, high con...

Quantified Sleep: comprehensive longitudinal tracking of sleep physiology by citizen scientists Presented at the 32. Jahrestagung der Deutschen Gesellschaft für Schlafforschung and Schlafmedizin e. V. (DGSM 2024) in session "Towards a citizen neuroscience of sleep."

Breast cancer (BC) is one of the most common and most dangerous cancers found in women. A few methods are used for its diagnosis; among them, the biopsy is a very effective method for investigating cancer. In a biopsy, tissue is taken from the breast and observed under a microscope by an experienced histologist. This manual detection is time-consum...

Our body and mind constantly adapt in response to changes in our behavior, mental state, and environmental factors. To better understand the intricate dynamics between these internal and external processes, comprehensive longitudinal studies are essential. These studies would need to measure a broad spectrum of physiological, behavioral, cognitive,...

Sleep Europe (ESRS) 2024 Roundtable, Seville, Spain; https://vmx.m-anage.com/congrex/esrs2024/en-GB/session/66213

Full pre-print: https://arxiv.org/abs/2405.15563

Fatal accidents are an inseparable part of life which often costs us loss of limbs especially hands and legs and turns any of our body asset into a burden to the family, as well as the society. The only solution to such misfortune is to facilitate the human with a new taste of living a happy life by having an artificial arm or leg that would be fun...

Citizen science allows the public to participate in various stages of scientific research, including study design, data acquisition, and analysis of the resulting data. Citizen science has a long history in several fields of the natural sciences, and with recent developments in technology, neuroscience has also become more accessible to citizen sci...

Polysomnography under laboratory conditions provides high-quality sleep data. However, it is costly and artificial. Wearable sleep EEG provides the opportunity to assess sleep longitudinally under naturalistic conditions with comparably low costs. Sleep wearables are also increasingly used within the ‘Quantified Self’ movement, which is the idea of...

Breast cancer (BC) is one of the most common and most dangerous cancers found in women. A few methods are used for its diagnosis; among them, the biopsy is a very effective method for investigating cancer. In a biopsy, tissue is taken from the breast and observed under a microscope by an experienced histologist. This manual detection is time-consum...

Disasters may occur at any time and place without little to no presage in advance. With the development of surveillance and forecasting systems, it is now possible to forebode the most life-threatening and formidable disasters. However, forest fires are among the ones that are still hard to anticipate beforehand, and the technologies to detect and...

Monitoring systems for electrical appliances have gained massive popularity nowadays. These frameworks can provide consumers with helpful information for energy consumption. Non-intrusive load monitoring (NILM) is the most common method for monitoring a household’s energy profile. This research presents an optimized approach for identifying load ne...

An overview of the contents of the book "Why We Sleep," one of the most popular science books on sleep, and some of its criticisms. It was presented in a weekly lab meeting of Donders Sleep & Memory Lab, Radboud University, Nijmegen.

This is an unofficial.docx template for formatting research articles for the Plos One journal. Information used to formulate it can be found here: journals.plos.org/plosone/s/submission-guidelines. Hope you find it useful for your submission to Plos One.

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...

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...

A brief introduction of AI, its branches, and its recent applications in various aspects of sleep research. It was presented in a weekly lab meeting of the Donders Sleep & Memory Lab, Radboud University, Nijmegen.

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...

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...

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...

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...

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....

We propose a perfectly square lattice photonic crystal fiber (PCF) which shows high birefringence and negative dispersion. To set up high asymmetry in the core, dual line imperfection is considered where the fill fraction ratio and defect air hole diameter exhibit significant impact on dispersion and birefringence. Numerical analyses of guiding pro...

Final publication: Severity Classification of Diabetic Retinopathy Using an Ensemble Learning Algorithm through Analyzing Retinal Images (https://doi.org/10.3390/sym13040670)

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...

An unofficial template for the journal Neural Computing and Applications (Springer publications). Created for personal use. Feel free to use it.

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.mende...

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....

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...

A presentation on the M.Sc. thesis proposal on the topic entitled "Determining the Severity of Diabetic Retinopathy through Analyzing Retinal Images Using Machine Learning Algorithm"

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...

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....

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...

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....

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...

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...

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....

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...

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...

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...

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...

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....

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...

*This review report was written to fulfill the requirement of an M.Sc. course* 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 sa...

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...

Rolling bearings are one of the pivotal mechanical elements in rotating machines like the electric motor. However, they are liable for the majority of the faults encountered by rotating machines. Detection or estimation of these faults at an early stage can help to eliminate them and prevent the machine from malfunctioning or failing during operati...

In this thesis, we designed a one Gbps Multiple-host Li-Fi model using Wavelength Division Multiplexing (WDM), simulated the model using OptiSystem 7.0 software and demonstrated a Li-Fi device that allows sending data to multiple receivers using Time Division Multiplexing (TDM) technique. We investigated the previous studies in this field to point...