Pradeep Kumar Mallick

Orcid: 0000-0002-1207-0757

According to our database1, Pradeep Kumar Mallick authored at least 31 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An empirical hybridized Siamese network using hypercube natural aggregation algorithm for handling imbalance data learning.
Expert Syst. J. Knowl. Eng., July, 2024

Brain image segmentation with fuzzy entropy clustering and PSO-GWO optimization techniques.
Intell. Decis. Technol., 2024

Optimized clustering-based fusion for skin lesion image classification: Leveraging marine predators algorithm.
Intell. Decis. Technol., 2024

Enhancing alzheimer's diagnosis through optimized brain lesion classification in MRI with attention-driven grid feature fusion.
Intell. Decis. Technol., 2024

Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10.
Comput., 2024

2023
ADASYN and ABC-optimized RBF convergence network for classification of electroencephalograph signal.
Pers. Ubiquitous Comput., 2023

Convergent learning-based model for leukemia classification from gene expression.
Pers. Ubiquitous Comput., 2023

Digital media news categorization using Bernoulli document model for web content convergence.
Pers. Ubiquitous Comput., 2023

Classification of imbalanced hyperspectral images using ensembled kernel rotational forest.
Int. J. Model. Identif. Control., 2023

2022
A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest.
Remote. Sens., 2022

A Tailored Particle Swarm and Egyptian Vulture Optimization-Based Synthetic Minority-Oversampling Technique for Class Imbalance Problem.
Inf., 2022

Exploring the Parametric Impact on a Deep Learning Model and proposal of a 2-Branch CNN for Diabetic Retinopathy Classification with Case Study in IoT-Blockchain based Smart Healthcare System.
Informatica (Slovenia), 2022

Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches.
Comput., 2022

Botanical Leaf Disease Detection and Classification Using Convolutional Neural Network: A Hybrid Metaheuristic Enabled Approach.
Comput., 2022

A deep autoencoder approach for detection of brain tumor images.
Comput. Electr. Eng., 2022

Brain Tumor Classification Using Dense Efficient-Net.
Axioms, 2022

A Novel Algorithmic Forex Trade and Trend Analysis Framework Based on Deep Predictive Coding Network Optimized with Reptile Search Algorithm.
Axioms, 2022

Impact of Organisational Commitment and Job Satisfaction on Employee Efficiency in Transformational Leadership.
Proceedings of the OITS International Conference on Information Technology, 2022

Grocery Recommendation using Improvised Apriori Algorithm.
Proceedings of the OITS International Conference on Information Technology, 2022

2021
Design of an Intelligent Controller of a Self-Tuned Quadcopter for IoT-Based Application on COVID Infected Area Sanitization.
IEEE Internet Things Mag., 2021

A Classifier Ensemble Approach for Prediction of Rice Yield based on Climatic Variability for Coastal Odisha Region of India.
Informatica (Slovenia), 2021

A Novel Borda Count based Feature Ranking and Feature Fusion Strategy to Attain Effective Climatic Features for Rice Yield Prediction.
Informatica (Slovenia), 2021

Application and evaluation of classification model to detect autistic spectrum disorders in children.
Int. J. Comput. Appl. Technol., 2021

Breast cancer detection using an ensemble deep learning method.
Biomed. Signal Process. Control., 2021

2020
EAGA-MLP - An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis.
Sensors, 2020

An image classification framework exploring the capabilities of extreme learning machines and artificial bee colony.
Neural Comput. Appl., 2020

Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks.
J. Big Data, 2020

Machine learning aided switching scheme for hybrid FSO/RF transmission.
Intell. Decis. Technol., 2020

2019
Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Autoencoder-Based Deep Neural Network.
IEEE Access, 2019

2016
A semi-supervised rough set and random forest approach for pattern classification of gene expression data.
Int. J. Reason. based Intell. Syst., 2016

2010
Object tracking using parallel local colour histogram method.
Int. J. Comput. Vis. Robotics, 2010


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