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Siddhartha Bhattacharyya

Siddhartha Bhattacharyya
Rajnagar Mahavidyalaya · Administration

B. Tech. M. Tech. Ph.D. (Engg.)

About

430
Publications
92,337
Reads
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2,709
Citations
Additional affiliations
March 2021 - present
Rajnagar Mahavidyalaya
Position
  • Head of Faculty
December 2019 - March 2021
Christ University, Bangalore
Position
  • Professor
October 2014 - December 2019
RCC Institute of Technology, Kolkata
Position
  • Head of Faculty
Education
December 2005 - December 2008
Jadavpur University
Field of study
  • Computer Science & Engineering

Publications

Publications (430)
Article
Full-text available
In this paper, we address the hesitant information in enhancement task often caused by differences in image contrast. Enhancement approaches generally use certain filters which generate artifacts or are unable to recover all the objects details in images. Typically, the contrast of an image quantifies a unique ratio between the amounts of black and...
Article
In this paper, we present a hybrid architecture for developing a system combination model that works in three layers to achieve better translated outputs. In the first layer, we have various machine translation models (i.e. Neural Machine Translation (NMT), Statistical Machine Translation (SMT), etc.). In the second layer, the outputs of these mode...
Article
Shot boundary detection (SBD) is the preliminary and most significant step in Content Based Video Retrieval (CBVR). As such the effectiveness of a CBVR system depends heavily on reliable detection of shot boundaries. In this work, a simple yet effective technique for amalgamating several distance features extracted from video frames has been propos...
Article
This study aims to circumvent the operation of conducting laboratory tests of soil shear strength through a hybrid machine learning approach. The proposed approach integrates extreme learning machine (ELM) and particle swarm optimisation (PSO) with adaptive acceleration coefficients. Three hybrid ELMs, namely PSO optimised ELM with time-varying acc...
Article
Full-text available
Portfolio optimization has always been a challenging proposition in finance and management. Portfolio optimization facilitates in selection of portfolios in a volatile market situation. In this paper, different classical, statistical and intelligent approaches employed for portfolio optimization and management are reviewed. A brief study is perform...
Article
Full-text available
This work explores the effectiveness and robustness of quantum computing by conjoining the principles of quantum computing with the conventional computational paradigm for the automatic clustering of colour images. In order to develop such a computationally efficient algorithm, two population-based meta-heuristic algorithms, viz., Particle Swarm Op...
Article
Full-text available
The massive number of research articles on the Web makes it troublesome for researchers to identify related works that could meet their preferences and interests. Consequently, various network representation learning-based models have been proposed to produce citation recommendations. Nevertheless, these models do not exploit semantic relations and...
Article
In recent years, gene expression analysis has become crucial in studying microarray and provides several techniques related to computational biology and bioinformatics. This article introduces a novel Intuitionistic fuzzy set under rough multigranulation approximation based feature extraction from microarray gene expression dataset. The proposed mo...
Article
From early 2020, a novel coronavirus disease pneumonia has shown a global “pandemic” trend at an extremely fast speed. Due to the magnitude of its harm, it has become a major global public health event. In the face of dramatic increase in the number of patients with COVID-19, the need for quick diagnosis of suspected cases has become particularly c...
Article
Full-text available
Due to the lack of appropriate tailoring of the inter-connection weights, the segmentation performance of the recently suggested Quantum-inspired Self-supervised Neural Network models suffers from the slow convergence problem. As a result, using quantum-inspired meta-heuristics in Quantum-Inspired Self-supervised Neural Network models improves thei...
Chapter
TheBCoTInternetIndustry 5.0 of Things Internet of Thingsis reforming Industry 5.0 to featured blockchainBlockchain-driven secure connectivity—fundamental characteristics of IoT IoTencounter challenges like decentralization, security vulnerabilities, and deprived interoperability. Blockchain-based centralized technology addresses the challenges of I...
Chapter
The advent of cloud computing has ensured a fertile soil for efficiently handling distributed computing. However, it calls for the provisioning of high-configuration infrastructure, including advanced servers and high-bandwidth networks for augmenting storage and computation-intensive services. To address this problem, IoT services have envisaged a...
Article
The task of reducing the computational complexity of contour detection in images is considered in the article. The solution to the task is achieved by modifying the Canny detector and reducing the number of passes through the original image. In the first case, two passes are excluded when determining the adjacency of the central pixel with eight ad...
Book
This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research sc...
Book
This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research sc...
Book
This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research sc...
Book
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents...
Book
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents...
Poster
Full-text available
Book Title: Confluence of Artificial Intelligence and Robotic Process Automation Publisher: Springer, Singapore Editors: Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Debashis De Dear Colleagues, We are in the process of coming up with a volume titled Confluence of Artificial Intelligence and Robotic Process Automation to be published by Sprin...
Poster
Full-text available
ICHCSC is a premier forum on human-centric smart computing. The significant characteristic of ICHCSC is the promotion of inevitable dialogue between scientists, researchers, engineers, corporate’s and scholar’s students to mitigate the gap between academia, industry, and governmental ethics. This motivation is fostered through keynote speeches, tut...
Article
A Hyperspectral Image (HSI) is a data cube consisting of hundreds of spatial images. Each captured spatial band is an image at a particular wavelength. Thresholding of these images is itself a tedious task. Two procedures, viz., Qubit Fractional Order Particle Swarm Optimization and Qutrit Fractional Order Particle Swarm Optimization are proposed i...
Poster
Full-text available
Dear Colleagues, We are in the process of coming up with a volume titled Computer Intelligence against Pandemics - Tools and Methods to face new Strains of Covid-19 to be published by De Gruyter, Germany in 2022. This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. At this point, computat...
Article
The article deals with the fundamental problem of generating a diversity of ensemble predictive models. Various approaches to ensemble diversity are described based on varying the input data set, varying the models used in the ensemble, varying within the model itself, and varying the way the results of the ensemble members are combined. A hybrid m...
Preprint
Full-text available
This paper introduces a novel shallow 3D self-supervised tensor neural network for volumetric segmentation of medical images with merits of obviating training and supervision. The proposed network is referred to as 3D Quantum-inspired Self-supervised Tensor Neural Network (3D-QNet). The underlying architecture of 3D-QNet is composed of a trinity of...
Preprint
Full-text available
div>This paper introduces a novel shallow 3D self-supervised tensor neural network for volumetric segmentation of medical images with merits of obviating training and supervision. The proposed network is referred to as 3D Quantum-inspired Self-supervised Tensor Neural Network (3D-QNet). The underlying architecture of 3D-QNet is composed of a trinit...
Article
Full-text available
Music is a heavenly way of expressing feelings about the world. The language of music has vast diversity. For centuries, people have indulged in debates to stratisfy between Western and Indian Classical Music. But through this paper, an understanding can be fabricated while differentiating the types of Indian Classical Music. Classical music is one...
Poster
Full-text available
Intelligent Cyber-Physical Systems and Industry 4.0 both are the most promising fields of research nowadays. Again, in this digital world, security perhaps is the biggest challenge to maintain the system remain secure. The fourth industrial revolution (Industry 4.0) is closely related to intelligent cyber-physical systems security issues. This book...
Article
This study proposes novel integration of extreme learning machine (ELM) and adaptive neuro swarm intelligence (ANSI) techniques for the determination of California bearing ratio (CBR) of soils for the subgrade layers of railway tracks, a critical real-time problem of geotechnical engineering. Particle swarm optimization (PSO) with adaptive and time...
Patent
Full-text available
Automated Hyperspectral Image Clustering Using Multilevel Quantum Differential Evolution on Quantum Hardware
Article
Classical self-supervised networks suffer from convergence problems and reduced segmentation accuracy due to forceful termination. Qubits or bilevel quantum bits often describe quantum neural network models. In this article, a novel self-supervised shallow learning network model exploiting the sophisticated three-level qutrit-inspired quantum infor...
Article
In this article, quantum inspired incarnations of two swarm based meta‐heuristic algorithms, namely, Crow Search Optimization Algorithm and Intelligent Crow Search Optimization Algorithm have been proposed for automatic clustering of colour images. The performance and effectiveness of the proposed algorithms have been judged by experimenting on 15...
Chapter
COVID-19 is a pandemic that broke out throughout the world and has a high mobility to transfer between humans. Developing intelligent bioinformatics tools is a mandatory to aid in the analysis of the disease. One of these tools is local aligner which aims to find the longest common subsequence between two biological sequences. Fragmented local alig...
Chapter
Thresholding of hyperspectral images is a tedious task. The interactive information value between three bands is used to reduce the redundant bands in the pre-processing stage. A qutrit-inspired genetic algorithm is proposed for thresholding the minimized hyperspectral images with improved quantum genetic operators. In this paper, a quantum disaste...
Chapter
Rule extraction is a process of extracting rules which helps in building domain knowledge. Rules plays an important role in reconciling financial transactions. This paper presents a brief study of intelligent methods for rule extraction. The paper touches upon heuristic, regression, fuzzy-based, evolutionary, and dynamic adaptive techniques for rul...
Article
Fire disaster throughout the globe causes social, environmental, and economical damage, making its early detection and instant reporting essential for saving human lives and properties. Smoke detection plays a key role in early fire detection but majority of the existing methods are limited to either indoor or outdoor surveillance environments, wit...
Article
Hyperspectral images contain rich spectral information about the captured area. Exploiting the vast and redundant information, makes segmentation a difficult task. In this paper, a Qutrit Genetic Algorithm is proposed which exploits qutrit based chromosomes for optimization. Ternary quantum logic based selection and crossover operators are introduc...
Chapter
Digital data produced through data‐processing algorithms has fundamental advantages of transportability, proficiency, and accuracy; but on the other hand, the data thus produced brings in several redundancies. To solve this challenging problem with data transmission in network surroundings, research on information security and forensics provides ef...
Patent
Full-text available
A Multilevel Inage Segmentation Hardware
Article
Full-text available
In the current world pandemic situation, the contagious Novel Coronavirus Disease 2019 (COVID-19) has raised a real threat to human lives owing to infection on lung cells and human respiratory systems. It is a daunting task for the researchers to find suitable infection patterns on lung CT images for automated diagnosis of COVID-19. A novel integra...