Debnath Bhattacharyya

Debnath Bhattacharyya
K L University | KLU · Department of Computer Science and Engineering

Ph.D.

About

329
Publications
147,301
Reads
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2,189
Citations
Citations since 2016
187 Research Items
1424 Citations
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
Additional affiliations
January 2015 - May 2016
Bharati Vidyapeeth Deemed University
Position
  • Professor
March 2014 - January 2015
RCC Institute of Technology, Kolkata
Position
  • Professor (Full)
October 2012 - present
NSHM Knowledge Campus, Durgapur
Position
  • Professor (Full)

Publications

Publications (329)
Article
Full-text available
Lung nodules are abnormal growths and lesions may exist. Both lungs may have nodules. Most lung nodules are harmless (not cancerous/malignant). Pulmonary nodules are rare in lung cancer. X-rays and CT scans identify the lung nodules. Doctors may term the growth a lung spot, coin lesion, or shadow. It is necessary to obtain properly computed tomogra...
Article
Full-text available
This paper is mainly aimed at the decomposition of image quality assessment study by using Three Parameter Logistic Mixture Model and k-means clustering (TPLMM-k). This method is mainly used for the analysis of various images which were related to several real time applications and for medical disease detection and diagnosis with the help of the di...
Article
Full-text available
Machine intelligence can convert raw clinical data into an informational source that helps make decisions and predictions. As a result, cardiovascular diseases are more likely to be addressed as early as possible before affecting the lifespan. Artificial intelligence has taken research on disease diagnosis and identification to another level. Despi...
Article
In this paper, the proposed algorithm to detect the bias from the datasets and to mitigate the bias in the datasets was observed. The consequences of this work shows that not only bias in a model can be decreased without forfeiting model performance rate, but improving the performance. Class imbalance, KL divergence, sample disparity and Kolmogorov...
Article
Full-text available
Covid-19 pandemic shook the entire world with its brutality, and the spread has been still increasing every day, causing many nations to suffer severely. This paper presents a medical stance on research studies of COVID-19, wherein we estimated a time-series data-based statistical model using prophet to comprehend the trend of the recent pandemic i...
Chapter
Histopathological images are the standard for breast cancer diagnosis. Throughout assessment some dozens of them are obtained for a solitary enduring. Conservative, image-based categorization organizations create the supposition that all the patient’s imagery encompasses similar tag as the patient, which is hardly ever established in rehearsal sinc...
Chapter
Machine learning is the rapidly growing technology in the field of almost all recent technologies in the market. With the successful application of machine learning in almost all the recent technologies, the growth in all the areas was splendid. The growth in those areas has crossed the expectations of scientists. Recently, the application of machi...
Chapter
This article looks at analyzing the sentiment of a tweet and the methods used to do it. This includes detecting emotions such as negative and positive, and various character traits such as emoticons, quotes, hashtags, mentions, etc. The Word2Vec model is used to improve performance and activate words in vectors. Bag of Words uses machine learning a...
Chapter
Skin disorders are prevalent all over the world, and yet its diagnosis is exceedingly difficult and necessitates a great deal of expertise in the sector. We present a method for detecting different types of these diseases. A two-stage approach incorporating computer vision and machine learning is used on clinically assessed pathological parameters....
Chapter
In this study, specifically, we describe the methods that can be used to aid in the analysis of web uncertainty in this study. An important component of this strategy is the development of a new set of eb pages for the purpose of monitoring, summarizing, and tracking events. We are calculating the response time for this collection of web-based appl...
Chapter
The number of followers on Instagram is a popular measure for determining one’s level of success. Consequently, a significant part of the company’s workforce is comprised of believers who are providing services. Influencers are swamped with phone supporters, which force a company to overpay to get branded enterprise services. It is essential to ide...
Chapter
In packet model communication networks, the framework execution is done by entry example and broadcast procedure. In this paper, we present a two-hub correspondence communication network with the suspicion that the arrivals follow the compound binomial Poisson process. Here, it is additionally predicted that the dynamic data transmission allocation...
Chapter
Cloud computing is the most advanced and the most used technology for the never-ending IT and software technologies. Various large servers was used in cloud models for storing the vast amount of data. To store massive databases, various setoff servers with high-end hardware and with fast internet facilities were required and with a set of servers f...
Chapter
Cloud computing is considered as the most inventive type of innovation as it has acquired its consideration in pretty much every area name in manufacturing, IT, training, automotive industry, and so forth. It is progressing as a lively innovation for clear reasons-customer well-being security and protection. It has stated its position in the medica...
Chapter
The change of customary energy organizations to savvy lattices can help with reforming the energy business regarding unwavering quality, execution, and reasonability. Notwithstanding, expanded availability of force network resources for bidirectional correspondences presents extreme security weaknesses. In this letter, we explore Chi-square indicat...
Chapter
Due to the exponential advancement of information technology, computer, storage systems and networking technology, medical devices and clinical diagnosis has acquired tremendous popularity in the last two decades. Mostly in medical field including biomedical science, the effect of such advances is becoming apparent, allowing the detection and diagn...
Chapter
The ever-growing interest in and requirement for green energy or solar power generation has increased the focus on research related to forecasting solar radiation recently. In this project, we are predicting the solar radiation on a particular day of the year using Long Short-Term Memory autoencoder (LSTM autoencoder) architecture. Using LSTM autoe...
Chapter
Object recognition seems like a sci-fi prediction to a tech future, widely used in computer vision tasks. Computer vision plays a significant role in developing various object recognition applications like biometric regulation, image retrieval, security, machine inspection, medical imaging, and digital watermarking. It also plays a substantial role...
Chapter
Manual detection of plant illness is highly impossible and research work is being carried out on many farm-related factors such as organic farming, constant plant monitoring, toward the recognition of different diseases. This requires an enormous amount of work, plant disease expertise, and also a substantial amount of time. We proposed a clusterin...
Chapter
Technology plays a key role in taking several preventive steps and performing several advanced techniques for improving general health and its related problems over many thousands of years. This method of operation for curing the health-related issues and other problems using technology has not changed till today. With a growing number of new inven...
Chapter
In healthcare, big volumes of heterogeneous medical information have become available in numerous healthcare organizations. This information might be a permitting resource for acquiring knowledge for boosting treatment, lowering misuse. The outrage as well as complexity of these dataset current wonderful obstacles in reviews and also subsequential...
Article
In present days, the major disease affecting people all across the world is “Cerebrovascular Stroke”. Computed tomographic (CT) images play a crucial role in identifying hemorrhagic strokes. It also helps in understanding the impact of damage caused in the brain cells more accurately. The existing research work is implemented on the Graphical Proce...
Article
Full-text available
Wireless sensor networks consist of some sensor nodes that have a minimum operational capability, with less memory capacity for storing data and limited energy sources. The deployment of these nodes or sensors takes place randomly in the dynamic or static environment. This type of placement of nodes in a hostile environment can be charged by the ma...
Article
Full-text available
Colon cancer is thought about as the third most regularly identified cancer after Brest and lung cancer. Most colon cancers are adenocarcinomas developing from adenomatous polyps, grow on the intima of the colon. The standard procedure for polyp detection is colonoscopy, where the success of the standard colonoscopy depends on the colonoscopist exp...
Article
The leading cause of cancer-related death globally has been identified as lung cancer. Early lung nodule detection is critical for lung cancer therapy and patient survival. The Gard Cam++ Class Activation Function is used with a squeeze-and-excite network to provide a revolutionary method for differentiating malignant from benign lung nodules on CT...
Article
Full-text available
Wireless sensor networks (WSNs) gain popularity owing to their capability to access remote areas hard to be reached. Given that, the energy consumption with multi-hop transmission will be a major issue, and how to manage the energy of sensor node becomes the focus of research, attracting many works proposed to save the energy consumption when senso...
Article
Full-text available
Coronary illness can be treated as one of the major causes for mortality globally. On-time and Precise conclusion on the type of disease is significant for therapy and breakdown expectancy. Research scientists are working rigorously in their respective fields to reduce the death rate. Even though lot of research took place on this area still there...
Article
Full-text available
The 3D convolutional neural network is able to make use of the full nonlinear 3D context information of lung nodule detection from the DICOM (Digital Imaging and Communications in Medicine) images, and the Gradient Class Activation has shown to be useful for tailoring classification tasks and localization interpretation for fine-grained features an...
Article
The utilisation of communication network models is growing day by day in a drastic way around the world. In order to communicate the data round the devices, the utilisation or the establishment of communication networks is mandatory. In this paper, a forked communication network model with the base of a queuing model and the equations developed for...
Chapter
Full-text available
Heart is considered to be one of the major organs which plays a vital role in the human body functioning. In recent days, due to many health hazards and living style, most of the people are suffering from heart-based diseases. Among many, one of the problems is cardiomegaly which is an enlargement of heart size. That can be affected by any age grou...
Article
Full-text available
Decision support systems (DSS) were built using the support of wireless sensors network (WSN) for resolving many real-world issues. Precision agriculture (PA) is the most popular area which requires DSS. Numerous agricultural cropping schemes in arid and semiarid areas practice irrigation process which is a crucial one and also here the main concer...
Chapter
The ability of wireless sensor network (WSN) can be observed in different fields like patient wearable monitoring, health applications, intruder detection, combat monitoring and battlefield surveillance in the last few years. In such applications, WSN contains a wide range of sensor nodes, which will monitor continuously, and passes the data to end...
Chapter
Malaria is a parasitic disease or mosquito-borne blood disease. When the mosquito bites a human being, that particular parasite is freed into the human being bloodstream and infects the red blood cells which cause the malaria. We need to understand if the blood-related illness is malaria or not before we provide the right therapy. For this purpose,...
Chapter
Remote network incorporates a bigger favourable position in the present correspondence application like ecological, movement, military and well-being perception. To understand these applications, it is important to have a solid directing convention. The self-sorting out nature of MANETs makes them appropriate for some applications and henceforth, e...
Chapter
H1N1 is one of the rarely found viruses which is spreading from one country to another with high increasing rate. Although the death rate of H1N1 is low when compared to other viruses, the severity of symptoms and the spreading rate is high. So in order to avoid the severity risks behind the H1N1, in this paper, we are going to identify the major s...
Chapter
Full-text available
A novel method of resultant radial distances, leaf perimeter-based features, and RGB color moments-based leaf classification is proposed in this paper. In the training stage, shape features of plant leaf images are extracted by the resultant radial distances and leaf perimeter-based features; and color features are extracted using RGB color moments...
Book
This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan’s Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial n...
Article
Full-text available
Abstract: Twitter text is difficult to analyse due to the non-standard and unstructured data. Twitter does not accumulate user gender information as do other popular social media platforms. The demographic feature prediction and additional informative content are important for advertising, custom-made marketing and authorised investigation from the...
Article
Full-text available
In Wireless Sensor Network (WSN), coverage and connectivity are the vital challenges in the target-based region. The linear objective is to find the positions to cover the complete target nodes and connectivity between each sensor for data forwarding towards the base station given a grid with target points and a potential sensor placement position....
Article
Full-text available
Colorectal cancer, which is frequent, recognized tumours in both genders around the globe. As per the report generated by WHO in 2018, colon cancer placed in the third position, whereas 1.80 million individuals are affected. Precisely, it is the succeeding leading cancer, which is the second most common cause of cancer in females, and the third for...
Article
Full-text available
Persistent Kidney Illness is an extremely hazardous health problem that has been spreading in addition to expanding due to diversification in lifestyle such as food routines, modifications in the environment, and so on. Aim and Objective: The field of health science generates substantial amounts of information from Electronic Wellness Records. Acco...
Article
Heart-based diseases are one of the causes for major death rate in the world. WHO (World Health Organization) specified that 17 million of people are losing their lives per year due to several heart diseases. Artificial Intelligence playing a prominent role in disease identification and prediction from medical data. Magnetic Resonance Imaging plays...
Article
Full-text available
Heart-based diseases are one of the causes for major death rate in the world. WHO (World Health Organization) specified that 17 million of people are losing their lives per year due to several heart diseases. Artificial Intelligence playing a prominent role in disease identification and prediction from medical data. Magnetic Resonance Imaging plays...
Article
The clinical field usually handles large measures of information. Taking care of tremendous information by conventional techniques can influence the outcomes. Utilization of calculations for artificial intelligence to discover realities in clinical research, mainly for the prediction of a particular disease. The early acknowledgment of the infectio...
Article
Full-text available
Among the various traditional approaches of pattern recognition the statistical approach has been most intensively studied and used in practice. More recently, the addition of artificial neural network techniques theory have been receiving significant attention. The design of a recognition system requires careful attention to the following issues:...
Article
Full-text available
Cancer cells is a perilous and also intricate wellness problem gotten in touch with high fatality. Because of a high rise in the advancement of the high throughput of CT check scans as well as the application of different maker finding out approaches that have actually been established lately has actually been supplying a big computational understa...
Chapter
A novel method for different-shape-features-based handwritten digit recognition is proposed in this paper. A digit database is constructed with shape features obtained by calculating normalized and signed width vector of handwritten digit. The differences between left most and right most point in different heights make the width vector of the digit...
Chapter
Brain is the central nervous system in the human body. The life of the human depends on the working condition of the brain. If that brain gets infected with colloid cyst, the life of the human is in risk. It is necessary to identify any disease occurred in brain at early stage to save the life of the human. In this paper, the automatic detection of...
Chapter
In any sport, especially in cricket selection of the players is the most significant job of the team management. The efficiency of a player depends on various circumstances such as experience, current form, performance in the previous match, as well as performance at the specific venue, etc. The cricket board appoints selectors, they sit along with...
Book
This book features high-quality, peer-reviewed research papers presented at the International Conference on Smart Technologies in Data Science and Communication (Smart-DSC 2019), held at Vignan’s Institute of Information Technology (Autonomous), Visakhapatnam, Andhra Pradesh, India on 13–14 December 2019. It includes innovative and novel contributi...
Article
Objective Accurate identification of brain tumor and its heterogeneity is a critical task in planning for proper therapy. A reliable fully automatic detection and analysis method for the brain tumor is necessary for an efficient measurement of the tumors and its extent. This paper presents a computerized approach to brain tumor-edema detection and...
Conference Paper
Full-text available
Fundamentally, what number of crisis administrations, business administrations, Service Company and internet business organizations need support lines and individuals? Would they be able to work 24hrs? In this paper, we are going the discussion around an AI associate like Google or Alexa. An AI which could display feelings and can react to counsel...