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Results for “"Niloy Sikder"”

16+ results

A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework

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Mehedi Masud, Niloy Sikder, Abdullah-Al Nahid, Anupam Kumar Bairagi et al.

Journal: SensorsYear: 2021Citations: 445

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 l...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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KU-HAR: An open dataset for heterogeneous human activity recognition

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Niloy Sikder, Abdullah-Al Nahid

Journal: Pattern Recognition LettersYear: 2021Citations: 148

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 ...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Severity Classification of Diabetic Retinopathy Using an Ensemble Learning Algorithm through Analyzing Retinal Images

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Niloy Sikder, Mehedi Masud, Anupam Kumar Bairagi, Abu Shamim Mohammad Arif et al.

Journal: SymmetryYear: 2021Citations: 143

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 p...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Human Activity Recognition Using Multichannel Convolutional Neural Network

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Niloy Sikder, Md. Sanaullah Chowdhury, Abu Shamim Mohammad Arif, Abdullah-Al Nahid

Year: 2019Citations: 64

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. T...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A Pneumonia Diagnosis Scheme Based on Hybrid Features Extracted from Chest Radiographs Using an Ensemble Learning Algorithm

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Mehedi Masud, Anupam Kumar Bairagi, Abdullah-Al Nahid, Niloy Sikder et al.

Journal: Journal of Healthcare EngineeringYear: 2021Citations: 53

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 d...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network

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Abdullah-Al Nahid, Niloy Sikder, Anupam Kumar Bairagi, Md. Abdur Razzaque et al.

Journal: SensorsYear: 2020Citations: 46

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...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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A Systematic Review on Reinforcement Learning-Based Robotics Within the Last Decade

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Md. Al-Masrur Khan, Md. Rashed Khan, Abul Tooshil, Niloy Sikder et al.

Journal: IEEE AccessYear: 2020Citations: 46

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 be...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Fault Diagnosis of Motor Bearing Using Ensemble Learning Algorithm with FFT-based Preprocessing

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Niloy Sikder, Kangkan Bhakta, Abdullah-Al Nahid, M. M. Manjurul Islam

Journal: 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)Year: 2019Citations: 46

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 mac...

Physical SciencesEngineeringControl and Systems Engineering
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Unmanned Aerial Vehicle Assisted Forest Fire Detection Using Deep Convolutional Neural Network

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A. K. Z Rasel Rahman, S. M. Nabil Sakif, Niloy Sikder, Mehedi Masud et al.

Journal: Intelligent Automation & Soft ComputingYear: 2022Citations: 41

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 anticipa...

Physical SciencesEngineeringSafety, Risk, Reliability and QualityOpen Access
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Fault Diagnosis of Induction Motor Bearing Using Cepstrum-based Preprocessing and Ensemble Learning Algorithm

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Kangkan Bhakta, Niloy Sikder, Abdullah-Al Nahid, M. M. Manjurul Islam

Year: 2019Citations: 24

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...

Physical SciencesEngineeringControl and Systems Engineering
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Human Action Recognition Based on a Sequential Deep Learning Model

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Niloy Sikder, Md Atiqur Rahman Ahad, Abdullah-Al Nahid

Year: 2021Citations: 21

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 processi...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Early Blindness Detection Based on Retinal Images Using Ensemble Learning

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Niloy Sikder, Md. Sanaullah Chowdhury, Abu Shamim Mohammad Arif, Abdullah-Al Nahid

Year: 2019Citations: 21

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 t...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Finger Movement Classification Based on Statistical and Frequency Features Extracted from Surface EMG Signals

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Chyon Krishno Bhattachargee, Niloy Sikder, Md. Tariq Hasan, Abdullah-Al Nahid

Journal: 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)Year: 2019Citations: 15

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 sign...

Physical SciencesEngineeringBiomedical Engineering
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Induction Motor Bearing Fault Classification Using Extreme Learning Machine Based on Power Features

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Niloy Sikder, Abu Shamim Mohammad Arif, M. M. Manjurul Islam, Abdullah-Al Nahid

Journal: Arabian Journal for Science and EngineeringYear: 2021Citations: 14
Physical SciencesComputer ScienceArtificial Intelligence
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Diabetic Retinopathy Classification with a Light Convolutional Neural Network

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Md. Sanaullah Chowdhury, Faozia Rashid Taimy, Niloy Sikder, Abdullah-Al Nahid

Journal: 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)Year: 2019Citations: 14

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 ...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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