Md. Saikat Islam Khan

Rensselaer Polytechnic Institute | RPI · Department of Computer Science

Growing apprehension among internet users regarding cyber-security threats, particularly Distributed Reflective Denial of Service (DRDoS) attacks, underscores a pressing issue. Despite considerable research endeavors, the efficacy of detecting DRDoS attacks remains unsatisfactory. This deficiency calls for the development of pioneering solutions to...

We introduce Federated Learning for Relational Data (Fed-RD), a novel privacy-preserving federated learning algorithm specifically developed for financial transaction datasets partitioned vertically and horizontally across parties. Fed-RD strategically employs differential privacy and secure multiparty computation to guarantee the privacy of traini...

We present the Differentially Private Blockchain-Based Vertical Federal Learning (DP-BBVFL) algorithm that provides verifiability and privacy guarantees for decentralized applications. DP-BBVFL uses a smart contract to aggregate the feature representations, i.e., the embeddings, from clients transparently. We apply local differential privacy to pro...

The Fifth Generation (5G) of mobile communications is the most exciting emerging technology for researchers and scientists to get the full benefit of a network system. However, 5G networks confront massive threats and vulnerabilities including protection, privacy, and secrecy. To face these challenges in the increasingly interconnected Internet of...

In recent years, machine learning (ML) and deep learning (DL) have been the leading approaches to solving various challenges, such as disease predictions, drug discovery, medical image analysis, etc., in intelligent healthcare applications. Further, given the current progress in the fields of ML and DL, there exists the promising potential for both...

People who have trouble communicating verbally are often dependent on sign language, which can be difficult for most people to understand, making interaction with them a difficult endeavor. The Sign Language Recognition (SLR) system takes an input expression from a hearing or speaking-impaired person and outputs it in the form of text or voice to a...

Chronic Kidney Cancer (CKC) is a disease that hindrances the blood-filtering mechanism of the kidney and is increasing at an alarming rate in the recent few years. As CKC does not show any earlier symptoms, the earlier prediction will be very effective to elevate its effect. In this paper, a machine learning-based method for diagnosing CKC at an ea...

Skin cancer is among the most common cancer types worldwide. Automatic identification of skin cancer is complicated because of the poor contrast and apparent resemblance between skin and lesions. The rate of human death can be significantly reduced if melanoma skin cancer could be detected quickly using dermoscopy images. This research uses an anis...

Crop disease is considered as a major constraint to both food quality and production. Even in this era of precision agriculture, the lacking of compulsory infrastructure has made rapid identification of crop diseases quite hard in numerous regions around the world. In this paper, we introduced a new method based on biorthogonal wavelet transform (B...

Destruction caused by landslides in Bangladesh’s south-east highlights the importance of landslide-hazard mapping and a better understanding of the geomorphic development of landslide hazardous landscapes. Suitable relief, steep terrain gradients, Permiancyclothems and Pennsylvanian that weather into fine-grained soils which have extensive clay, an...

The World Health Organization (WHO) claims that COVID19 is the pandemic disease of the 22nd century. The COVID19 disease is caused by a strain of coronavirus that led to the infection and death of millions of people and continues to do so unless we find mechanisms that enable healthcare providers to detect infections accurately and as early as poss...

Breast cancer is predominantly seen in women and is the leading cause of death in females worldwide. Diagnosis of breast cancer using biopsy tissue images is expensive, time-intensive, and fraught with conflicts among doctors. Pathologists can now diagnose breast cancer more consistently and promptly because of advances in the Computer-Aided Diagno...

Please cite this article as: M.M. Rahman, M.S.I. Khan, H.M.H. Babu, BreastMultiNet: A multi-scale feature fusion method using deep neural network to detect breast cancer, ARRAY (2022), doi: https:// Abstract Breast cancer is predominantly seen in women and is the leading cause of death in females worldwide. Diagnosis of breast cancer using biopsy t...

Breast cancer is predominantly seen in women and is the leading cause of death in females worldwide. Diagnosis of breast cancer using biopsy tissue images is expensive, time-intensive, and fraught with conflicts among doctors. Pathologists can now diagnose breast cancer more consistently and promptly because of advances in the Computer-Aided Diagno...

Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare field. Traditionally, the healthcare system works based on centralized agents sharing their raw data. Therefore, huge vulnerabilities and challenges are still existing in th...

Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare field. Traditionally, the healthcare system works based on centralized agents sharing their raw data. Therefore, huge vulnerabilities and challenges are still existing in th...

Detection and Classification of a brain tumor is an important step to better understanding its mechanism. Magnetic Reasoning Imaging (MRI) is an experimental medical imaging technique that helps the radiologist find the tumor region. However, it is a time taking process and requires expertise to test the MRI images, manually. Nowadays, the advancem...

Disease diagnosis is the most critical task in the medical diagnosis system. At present, the biggest challenge is to predict heart disease very quickly; for that limitation, the number of dying people is increasing day by day. If a heart disease is diagnosed quickly, we can reduce the death rate indisputably. Thus, this research produces a manual a...

Skin cancer is an exquisite disease globally nowadays. Because of the poor contrast and apparent resemblance between skin and lesions, automatic identification of skin cancer is complicated. The rate of human death can be massively reduced if melanoma skin cancer can be detected quickly using dermoscopy images. In this research, an anisotropic diff...

Contaminated water became a major issue for our country over the last few decades. One of the main reasons behind this scenario is urbanization and industrialization. Every industry should have an Effluent Treatment Plant (ETP) for treating industrial wastewater and safe disposal to the environment. We implement a system that monitors whether an in...

Usage of Machine Learning (ML) algorithms to design an Intrusion Detection System (IDS) for network infrastructure is an important emerging topic. In ML ensembling and stacking of different algorithmic models is often used to improve the accuracy of classification. In this work, we apply this important Machine Learning approach to build a dynamic I...

Detection and Classification of a brain tumor is an important step to provide a better understanding of its mechanism. Currently, Magnetic Reasoning Imaging (MRI) is an experimental medical imaging technique that helps the radiologist to find the tumor region. However, it requires expertise and time to test the MRI images manually. Nowadays, the ad...

The most common malignant type of breast tumor is Invasive Ductal Carcinoma (IDC). The IDC refers to cancer that has broken through the milk duct wall and invades the breast tissues. Over time, it can also spread to the surrounding breast tissue and cause cancer to other human tissue parts. According to the American Cancer Society, about 80% of all...

Breast cancer diagnosis from biopsy tissue images conducted manually by pathologists is costly, time-consuming, and disagreements among specialists. Nowadays, the advancement of the Computer-Aided Diagnosis (CAD) system allows pathologists to identify breast cancer more reliably and quickly.For this reason, interest in CAD-based deep learning model...

Estimating water quality has been one of the significant challenges faced by the world in recent decades. This paper presents a water quality prediction model utilizing the principal component regression technique. Firstly, the water quality index (WQI) is calculated using the weighted arithmetic index method. Secondly, the principal component anal...

The COVID-19 pandemic is an emerging respiratory infectious disease, having a significant impact on the health and life of many people around the world. Therefore, early identification of COVID-19 patients is the fastest way to restrain the spread of the pandemic. However, as the number of cases grows at an alarming pace, most developing countries...

Contaminated water became a major issue for our country from the last few decades. One of the main reasons behind this scenario is urbanization and industrialization. Every industry should have an Effluent Treatment Plant (ETP) for treating industrial wastewater and safe disposal to the environment. We implement a system that monitors whether an in...

Hasan, MahediRahman, AnichurKarim, Md. RazaulKhan, Md. Saikat IslamIslam, Md. JahidulFeature extraction is one of the challenging works in the Machine Learning (ML) arena. The more features one able to extract correctly, the more accurate knowledge one can exploit from data. Latent Dirichlet Allocation (LDA) is a form of topic modeling used to extr...

Software Defined Networking (SDN) and Blockchain (BC) are the most recent research trends in emerging technology. These technologies have currently been used in the IoT networking environment for various purposes, such as protection, stability, scalability, confidentiality, and so on. Such techniques can be used in this regard to effectively provid...

Software-Defined Networking (SDN) is the most expected inventions for the network administrators, cloud service providers and businessmen. For its global acceptance, has to undergo security issues and get cover using a proper solution. This study implements the firewall on the Spanning Tree Protocol (STP) over SDN using Mininet emulator. The broadc...

Software Defined Networking (SDN) and Blockchain (BC) are the most recent research trends in emerging technology. These technologies have currently been used in the IoT networking environment for various purposes, such as protection, stability, scalability, confidentiality, and so on. Such techniques can be used in this regard to effectively provid...

Feature extraction is one of the challenging works in the Machine Learning (ML) arena. The more features one able to extract correctly, the more accurate knowledge one can exploit from data. Latent Dirichlet Allocation (LDA) is a form of topic modeling used to extract features from text data. But finding the optimal number of topics (on which succe...

Monitoring water quality has been one of the significant challenges faced by the world in recent decades. The traditional method provided by the researchers is costly, time-consuming, and sometimes requires human intervention. To limit such issues, this research proposes two strategies for monitoring and evaluating the water quality condition. In t...