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Suresh Chandra Satapathy

Suresh Chandra Satapathy

D-Index & Metrics

Computer Science

D-Index
55
Citations
11272
World Ranking
4345
National Ranking
37

Overview

Suresh Chandra Satapathy is affiliated with KIIT University in India. Their research spans primarily the fields of Computer Science and Engineering, with a focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging, and Computer Networks and Communications.

Their work covers multiple research topics including:

  • COVID-19 diagnosis using AI
  • Brain Tumor Detection and Classification
  • Digital Imaging for Blood Diseases
  • IoT and Edge/Fog Computing
  • AI in cancer detection
  • Metaheuristic Optimization Algorithms Research
  • Anomaly Detection Techniques and Applications

Recent papers include:

  • "Industrial Internet of Things and its Applications in Industry 4.0: State of The Art" (2020) published in Computer Communications
  • "Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network" (2020) published in Information Processing & Management
  • "Automatic Detection of White Blood Cancer From Bone Marrow Microscopic Images Using Convolutional Neural Networks" (2020) published in IEEE Access
  • "Heart disease detection using deep learning methods from imbalanced ECG samples" (2021) published in Biomedical Signal Processing and Control
  • "A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system" (2020) published in Pattern Recognition Letters

Frequent coauthors in their research collaborations include:

  • Yudong Zhang
  • Vikrant Bhateja
  • Shuihua Wang
  • V. Rajinikanth
  • Ganapati Panda

Common publication venues where their contributions appear are:

  • Arabian Journal for Science and Engineering
  • Multimedia Tools and Applications
  • International Journal of Knowledge-based and Intelligent Engineering Systems
  • Pattern Recognition Letters
  • Frontiers in Public Health

They have authored books published by Springer Nature, Springer International Publishing, and Springer Science+Business Media. Notable book titles include:

  • Blockchain Technology: Applications and Challenges (2021)
  • Evolution in Computational Intelligence (2020)
  • Intelligent Data Engineering and Analytics (2020)
  • Intelligent Manufacturing and Energy Sustainability (2020)
  • Intelligent System Design (2020)
  • Smart Intelligent Computing and Applications, Volume 2 (2022)
  • Embedded Systems and Artificial Intelligence (2020)
  • Smart Intelligent Computing and Applications, Volume 1 (2022)
  • Automated Software Engineering: A Deep Learning-Based Approach (2020)
  • Computer Communication, Networking and IoT (2021, 2022)
  • Proceedings of International Conference on Advances in Computer Engineering and Communication Systems (2021)
  • Evolution in Signal Processing and Telecommunication Networks (2022)

Best Publications

  • Industrial Internet of Things and its Applications in Industry 4.0: State of The Art

    Praveen Kumar Malik;Rohit Sharma;Rajesh Singh;Anita Gehlot

  • Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images

    Abhir Bhandary;G. Ananth Prabhu;V. Rajinikanth;K. Palani Thanaraj

  • Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

    Yu-Dong Zhang;Yu-Dong Zhang;Suresh Chandra Satapathy;David S. Guttery;Juan Manuel Górriz

  • Social group optimization (SGO): a new population evolutionary optimization technique

    Suresh Satapathy;Anima Naik

  • Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

    Nilanjan Dey;Aboul Ella Hassanien;Chintan Bhatt;Amira S. Ashour

  • Cloud Computing: Security Issues and Research Challenges

    Rabi Prasad Padhy;Manas Ranjan Patra;Suresh Chandra Satapathy;Oracle India Pvt

  • Entropy based segmentation of tumor from brain MR images a study with teaching learning based optimization

    V. Rajinikanth;Suresh Chandra Satapathy;Steven Lawrence Fernandes;S. Nachiappan

  • Multi-level image thresholding using Otsu and chaotic bat algorithm

    Suresh Chandra Satapathy;N. Sri Madhava Raja;V. Rajinikanth;Amira S. Ashour

  • Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology

    Meeta Kumar;Anand J. Kulkarni;Anand J. Kulkarni;Suresh Chandra Satapathy

  • An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor

    Muhammad Sharif;Javaria Amin;Mudassar Raza;Mussarat Yasmin

  • Automatic Detection of White Blood Cancer From Bone Marrow Microscopic Images Using Convolutional Neural Networks

    Deepika Kumar;Nikita Jain;Aayush Khurana;Sweta Mittal

  • AI-Based Mobile Edge Computing for IoT: Applications, Challenges, and Future Scope

    Unknown

  • Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation

    N. Sri Madhava Raja;S. L. Fernandes;Nilanjan Dey;Suresh Chandra Satapathy

  • A Survey on Parallel Particle Swarm Optimization Algorithms

    Soniya Lalwani;Harish Sharma;Suresh Chandra Satapathy;Kusum Deep

  • Gastrointestinal Diseases Segmentation and Classification based on Duo-Deep Architectures

    Mehshan Ahmed Khan;Muhammad Attique Khan;Fawad Ahmed;Mamta Mittal

  • Heart disease detection using deep learning methods from imbalanced ECG samples

    Adyasha Rath;Debahuti Mishra;Ganapati Panda;Suresh Chandra Satapathy

  • A teaching learning based optimization based on orthogonal design for solving global optimization problems.

    Suresh Chandra Satapathy;Anima Naik;K Parvathi

  • Segmentation of Ischemic Stroke Lesion in Brain MRI Based on Social Group Optimization and Fuzzy-Tsallis Entropy

    V. Rajinikanth;Suresh Chandra Satapathy

  • Modified Teaching–Learning-Based Optimization algorithm for global numerical optimization—A comparative study

    Suresh Chandra Satapathy;Anima Naik

  • A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

    Douglas de A. Rodrigues;Roberto F. Ivo;Suresh Chandra Satapathy;Shuihua Wang

  • Data clustering based on teaching-learning-based optimization

    Suresh Chandra Satapathy;Anima Naik

  • Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection

    M. Attique Khan;S. Rubab;Asifa Kashif;Muhammad Imran Sharif

Frequent Co-Authors

Venkatesan Rajinikanth
Venkatesan Rajinikanth Saveetha University
Yudong Zhang
Yudong Zhang University of Leicester
Nilanjan Dey
Nilanjan Dey Techno International New Town
Shuihua Wang
Shuihua Wang Xi’an Jiaotong-Liverpool University
Ganapati Panda
Ganapati Panda C. V. Raman Global University
Steven Lawrence Fernandes
Steven Lawrence Fernandes Karunya University
Amira S. Ashour
Amira S. Ashour Tanta University
Juan Manuel Górriz
Juan Manuel Górriz University of Granada
Swagatam Das
Swagatam Das Indian Statistical Institute
Jaume Anguera
Jaume Anguera Ramon Llull University

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