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Jyotismita Chaki
Bronze Contributor
7,825 Points

Contributions by role

Author 270
Editor 7,525
Reviewer 30

Contributions by subject area

Artificial Intelligence
Computer Vision
Data Mining and Machine Learning
Natural Language and Speech
Neural Networks
Bioinformatics
Algorithms and Analysis of Algorithms
Brain-Computer Interface
Graphics
Computational Biology
Data Science
Adaptive and Self-Organizing Systems
Optimization Theory and Computation
Bioengineering
Robotics
Human-Computer Interaction
Multimedia
Visual Analytics
Network Science and Online Social Networks
Social Computing
Sentiment Analysis
Databases
Agents and Multi-Agent Systems
Computational Linguistics
Computer Architecture
Computer Networks and Communications
Text Mining
Security and Privacy
Bronze Contributor

Jyotismita Chaki

PeerJ Editor, Author & Reviewer

Summary

Jyotismita Chaki, PhD. is an Associate Professor in School of Computer Science and Engineering at Vellore Institute of Technology (VIT University), Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Soft computing, Artificial Intelligence and Machine learning. She has authored and edited many international conferences, journal papers and books. Currently she is the editor of Engineering Applications of Artificial Intelligence Journal, Elsevier, academic editor of PLOS ONE journal and associate editor of Array journal, Elsevier, IET Image Processing and Machine Learning with Applications journal, Elsevier.

Artificial Intelligence Computer Vision Data Mining & Machine Learning Data Science

Section Editor

Artificial Intelligence, Computer Vision and Natural Language Processing

Editorial Board Member

PeerJ Computer Science

Work details

Associate Professor

Vellore Institute of Technology
Department of Computational Intelligence
School of Computer Science and Engineering

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 2
  • Edited 41
July 26, 2023
An automatic system for extracting figure-caption pair from medical documents: a six-fold approach
Jyotismita Chaki
https://doi.org/10.7717/peerj-cs.1452
February 15, 2023
Healthy-unhealthy animal detection using semi-supervised generative adversarial network
Shubh Almal, Apoorva Reddy Bagepalli, Prajjwal Dutta, Jyotismita Chaki
https://doi.org/10.7717/peerj-cs.1250

Academic Editor on

June 16, 2025
GAPNet: Single and multiplant leaf disease classification method based on simplified SqueezeNet for grape, apple and potato plants
Özge Nur Özaras, Asuman Günay Yılmaz
https://doi.org/10.7717/peerj-cs.2941
May 14, 2025
RMIS-Net: a fast medical image segmentation network based on multilayer perceptron
Binbin Zhang, Guoliang Xu, Yiying Xing, Nanjie Li, Deguang Li
https://doi.org/10.7717/peerj-cs.2882
April 22, 2025
Deep ensemble learning for gastrointestinal diagnosis using endoscopic image classification
Samra Siddiqui, Junaid Ali Khan, Shabbab Algamdi
https://doi.org/10.7717/peerj-cs.2809
March 25, 2025
Enhancing colorectal polyp classification using gaze-based attention networks
Zhenghao Guo, Yanyan Hu, Peixuan Ge, In Neng Chan, Tao Yan, Pak Kin Wong, Shaoyong Xu, Zheng Li, Shan Gao
https://doi.org/10.7717/peerj-cs.2780
March 25, 2025
Machine learning techniques for imbalanced multiclass malware classification through adaptive feature selection
Binayak Panda, Sudhanshu Shekhar Bisoyi, Sidhanta Panigrahy, Prithviraj Mohanty
https://doi.org/10.7717/peerj-cs.2752
February 21, 2025
Machine learning-based feature selection and classification for cerebral infarction screening: an experimental study
Yang Niu, Xue Tao, Qinyuan Chang, Mingming Hu, Xin Li, Xiaoping Gao
https://doi.org/10.7717/peerj-cs.2704
January 15, 2025
Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning
Mofadal Alymani, Lenah Abdulaziz Almoqhem, Dhuha Ahmed Alabdulwahab, Abdulrahman Abdullah Alghamdi, Hussain Alshahrani, Khalid Raza
https://doi.org/10.7717/peerj-cs.2544
December 23, 2024
Joint classification and regression with deep multi task learning model using conventional based patch extraction for brain disease diagnosis
Padmapriya K., Ezhumalai Periyathambi
https://doi.org/10.7717/peerj-cs.2538
December 17, 2024
Deep convolutional neural network architecture for facial emotion recognition
Dayananda Pruthviraja, Ujjwal Mohan Kumar, Sunil Parameswaran, Vemulapalli Guna Chowdary, Varun Bharadwaj
https://doi.org/10.7717/peerj-cs.2339
December 12, 2024
Synthetic data analysis for early detection of Alzheimer progression through machine learning algorithms
Ana Gabriela Sánchez Reyna, Ricardo Mendoza-Gonzalez, Huizilopoztli Luna-García, José María Celaya Padilla, Jorge Alejandro Morgan Benita, Carlos H. Espino-Salinas, Jorge I. Galván-Tejada, David Rondon, Klinge Villalba-Condori
https://doi.org/10.7717/peerj-cs.2437
December 10, 2024
BSEFNet: bidirectional self-attention edge fusion network salient object detection based on deep fusion of edge features
Gan Gao, Yuanyuan Wang, Feng Zhou, Shuaiting Chen, Xiaole Ge, Rugang Wang
https://doi.org/10.7717/peerj-cs.2494
December 3, 2024
MSR-UNet: enhancing multi-scale and long-range dependencies in medical image segmentation
Shuai Wang, Lei Liu, Jun Wang, Xinyue Peng, Baosen Liu
https://doi.org/10.7717/peerj-cs.2563
November 26, 2024
General retrieval network model for multi-class plant leaf diseases based on hashing
Zhanpeng Yang, Jun Wu, Xianju Yuan, Yaxiong Chen, Yanxin Guo
https://doi.org/10.7717/peerj-cs.2545
October 31, 2024
Multimodal biometric identification: leveraging convolutional neural network (CNN) architectures and fusion techniques with fingerprint and finger vein data
Amal Alshardan, Arun Kumar, Mohammed Alghamdi, Mashael Maashi, Saad Alahmari, Abeer A. K. Alharbi, Wafa Almukadi, Yazeed Alzahrani
https://doi.org/10.7717/peerj-cs.2440
September 19, 2024
Detection and diagnosis of diabetic eye diseases using two phase transfer learning approach
Vamsi Krishna Madduri, Battula Srinivasa Rao
https://doi.org/10.7717/peerj-cs.2135
July 18, 2024
CSA-DE-LR: enhancing cardiovascular disease diagnosis with a novel hybrid machine learning approach
Beyhan Adanur Dedeturk, Bilge Kagan Dedeturk, Burcu Bakir-Gungor
https://doi.org/10.7717/peerj-cs.2197
May 29, 2024
Enhancing early breast cancer diagnosis through automated microcalcification detection using an optimized ensemble deep learning framework
Jing Ru Teoh, Khairunnisa Hasikin, Khin Wee Lai, Xiang Wu, Chong Li
https://doi.org/10.7717/peerj-cs.2082
April 19, 2024
Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis
Tanzim Hossain, F M Javed Mehedi Shamrat, Xujuan Zhou, Imran Mahmud, Md. Sakib Ali Mazumder, Sharmin Sharmin, Raj Gururajan
https://doi.org/10.7717/peerj-cs.1950
March 29, 2024
An intelligent diabetes classification and perception framework based on ensemble and deep learning method
Qazi Waqas Khan, Khalid Iqbal, Rashid Ahmad, Atif Rizwan, Anam Nawaz Khan, DoHyeun Kim
https://doi.org/10.7717/peerj-cs.1914
March 22, 2024
A novel approach to texture recognition combining deep learning orthogonal convolution with regional input features
Kar-Seng Loke
https://doi.org/10.7717/peerj-cs.1927
February 29, 2024
Proj2Proj: self-supervised low-dose CT reconstruction
Mehmet Ozan Unal, Metin Ertas, Isa Yildirim
https://doi.org/10.7717/peerj-cs.1849
February 28, 2024
Integrating hybrid transfer learning with attention-enhanced deep learning models to improve breast cancer diagnosis
Sudha Prathyusha Jakkaladiki, Filip Maly
https://doi.org/10.7717/peerj-cs.1850
February 26, 2024
An approach to the dermatological classification of histopathological skin images using a hybridized CNN-DenseNet model
Anubhav De, Nilamadhab Mishra, Hsien-Tsung Chang
https://doi.org/10.7717/peerj-cs.1884
February 5, 2024
RNGU-NET: a novel efficient approach in Segmenting Tuberculosis using chest X-Ray images
Fuat Turk
https://doi.org/10.7717/peerj-cs.1780
January 24, 2024
Simultaneous, vision-based fish instance segmentation, species classification and size regression
Pau Climent-Perez, Alejandro Galán-Cuenca, Nahuel E. Garcia-d’Urso, Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo
https://doi.org/10.7717/peerj-cs.1770
December 19, 2023
Real time anatomical landmarks and abnormalities detection in gastrointestinal tract
Zeshan Khan, Muhammad Atif Tahir
https://doi.org/10.7717/peerj-cs.1685
November 27, 2023
Personalization-based deep hybrid E-learning model for online course recommendation system
Subha S, Baghavathi Priya Sankaralingam, Anitha Gurusamy, Sountharrajan Sehar, Durga Prasad Bavirisetti
https://doi.org/10.7717/peerj-cs.1670
November 22, 2023
A novel automated Parkinson’s disease identification approach using deep learning and EEG
Marwa Obayya, Muhammad Kashif Saeed, Mashael Maashi, Saud S. Alotaibi, Ahmed S. Salama, Manar Ahmed Hamza
https://doi.org/10.7717/peerj-cs.1663
October 30, 2023
Hand gesture recognition via deep data optimization and 3D reconstruction
Zaid Mustafa, Heba Nsour, Sheikh Badar ud din Tahir
https://doi.org/10.7717/peerj-cs.1619
October 30, 2023
Improved deep learning image classification algorithm based on Swin Transformer V2
Jiangshu Wei, Jinrong Chen, Yuchao Wang, Hao Luo, Wujie Li
https://doi.org/10.7717/peerj-cs.1665
September 29, 2023
Sleep disorder and apnea events detection framework with high performance using two-tier learning model design
Recep Sinan Arslan
https://doi.org/10.7717/peerj-cs.1554
August 29, 2023
Detection of offensive terms in resource-poor language using machine learning algorithms
Muhammad Owais Raza, Naeem Ahmed Mahoto, Mohammed Hamdi, Mana Saleh Al Reshan, Adel Rajab, Asadullah Shaikh
https://doi.org/10.7717/peerj-cs.1524
July 19, 2023
A fully automated approach involving neuroimaging and deep learning for Parkinson’s disease detection and severity prediction
Çağatay Berke Erdaş, Emre Sümer
https://doi.org/10.7717/peerj-cs.1485
June 30, 2023
Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach
Milos Dobrojevic, Miodrag Zivkovic, Amit Chhabra, Nor Samsiah Sani, Nebojsa Bacanin, Maifuza Mohd Amin
https://doi.org/10.7717/peerj-cs.1405
May 24, 2023
Reconstructing 3D human pose and shape from a single image and sparse IMUs
Xianhua Liao, Jiayan Zhuang, Ze Liu, Jiayan Dong, Kangkang Song, Jiangjian Xiao
https://doi.org/10.7717/peerj-cs.1401
May 23, 2023
Recognition of human action for scene understanding using world cup optimization and transfer learning approach
Ranjini Surendran, Anitha J, Jude D. Hemanth
https://doi.org/10.7717/peerj-cs.1396
May 9, 2023
Efficient algorithm for directed text detection based on rotation decoupled bounding box
Songma Wei, Minrui Lu, Bingsan Chen, Tengjian Zhang, Fujiang Zhang, Xiaodong Peng
https://doi.org/10.7717/peerj-cs.1352
March 27, 2023
A novel hybrid face mask detection approach using Transformer and convolutional neural network models
Haifa M. Al-Sarrar, Heyam H. Al-Baity
https://doi.org/10.7717/peerj-cs.1265
September 28, 2022
Distributed search and fusion for wine label image retrieval
Xiaoqing Li, Jinwen Ma
https://doi.org/10.7717/peerj-cs.1116
June 1, 2022
Diagnosis of dengue virus infection using spectroscopic images and deep learning
Mehdi Hassan, Safdar Ali, Muhammad Saleem, Muhammad Sanaullah, Labiba Gillani Fahad, Jin Young Kim, Hani Alquhayz, Syed Fahad Tahir
https://doi.org/10.7717/peerj-cs.985
March 15, 2022
ACO-Kinematic: a hybrid first off the starting block
Kaylash Chaudhary, Avinesh Prasad, Vishal Chand, Bibhya Sharma
https://doi.org/10.7717/peerj-cs.905