Object tracking using parallel local colour histogram method. - Chandra Sekhar Panda; Pradeep Kumar Mallick; Srikanta Patnaik (Int. J. Comput. Vis. Robotics, 2010)

A semi-supervised rough set and random forest approach for pattern classification of gene expression data. - Pradeep Kumar Mallick; Debahuti Mishra; Srikanta Patnaik; Kailash Shaw (Int. J. Reason. based Intell. Syst., 2016)

Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Autoencoder-Based Deep Neural Network. - Pradeep Kumar Mallick; Seuc-Ho Ryu; Sandeep Kumar Satapathy; Shruti Mishra; Gia Nhu Nguyen; Prayag Tiwari (IEEE Access, 2019)

Machine learning aided switching scheme for hybrid FSO/RF transmission. - Kappala Vinod Kiran; Subhanesh Perinbaraj; Jayashree Pradhan; Pradeep Kumar Mallick; Ashok Kumar Turuk; Santos Kumar Das (Intell. Decis. Technol., 2020)

Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks. - Annapareddy V. N. Reddy; Ch. Phani Krishna; Pradeep Kumar Mallick; Sandeep Kumar Satapathy; Prayag Tiwari; Mikhail L. Zymbler; Sachin Kumar 001 (J. Big Data, 2020)

An image classification framework exploring the capabilities of extreme learning machines and artificial bee colony. - Annapareddy V. N. Reddy; Ch. Phani Krishna; Pradeep Kumar Mallick (Neural Comput. Appl., 2020)

EAGA-MLP - An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis. - Sushruta Mishra; Hrudaya Kumar Tripathy; Pradeep Kumar Mallick; Akash Kumar Bhoi; Paolo Barsocchi (Sensors, 2020)

Breast cancer detection using an ensemble deep learning method. - Abhishek Das; Mihir Narayan Mohanty; Pradeep Kumar Mallick; Prayag Tiwari; Khan Muhammad 001; Hongyin Zhu (Biomed. Signal Process. Control., 2021)

Application and evaluation of classification model to detect autistic spectrum disorders in children. - Hrudaya Kumar Tripathy; Pradeep Kumar Mallick; Sushruta Mishra (Int. J. Comput. Appl. Technol., 2021)

A Novel Borda Count based Feature Ranking and Feature Fusion Strategy to Attain Effective Climatic Features for Rice Yield Prediction. - Subhadra Mishra; Debahuti Mishra; Pradeep Kumar Mallick; Gour Hari Santra; Sachin Kumar 001 (Informatica (Slovenia), 2021)

A Classifier Ensemble Approach for Prediction of Rice Yield based on Climatic Variability for Coastal Odisha Region of India. - Subhadra Mishra; Debahuti Mishra; Pradeep Kumar Mallick; Gour Hari Santra; Sachin Kumar 001 (Informatica (Slovenia), 2021)

Design of an Intelligent Controller of a Self-Tuned Quadcopter for IoT-Based Application on COVID Infected Area Sanitization. - Mohan Debarchan Mohanty; Pradeep Kumar Mallick; Mihir Narayan Mohanty (IEEE Internet Things Mag., 2021)

Grocery Recommendation using Improvised Apriori Algorithm. - Phani Tarun Munukuntla; Charan Kumar Somalraju; Krishna Vamsi Gangisetty; Sandeep Kumar Satapathy; Shruti Mishra; Pradeep Kumar Mallick (OCIT, 2022)

Impact of Organisational Commitment and Job Satisfaction on Employee Efficiency in Transformational Leadership. - Sasmita Samanta; Pradeep Kumar Mallick; Jyotiranjan Gochhayat (OCIT, 2022)

A Novel Algorithmic Forex Trade and Trend Analysis Framework Based on Deep Predictive Coding Network Optimized with Reptile Search Algorithm. - Swaty Dash; Pradip Kumar Sahu; Debahuti Mishra; Pradeep Kumar Mallick; Bharti Sharma; Mikhail L. Zymbler; Sachin Kumar 001 (Axioms, 2022)

Brain Tumor Classification Using Dense Efficient-Net. - Dillip Ranjan Nayak; Neelamadhab Padhy; Pradeep Kumar Mallick; Mikhail L. Zymbler; Sachin Kumar 001 (Axioms, 2022)

A deep autoencoder approach for detection of brain tumor images. - Dillip Ranjan Nayak; Neelamadhab Padhy; Pradeep Kumar Mallick; Ashish Singh (Comput. Electr. Eng., 2022)

Botanical Leaf Disease Detection and Classification Using Convolutional Neural Network: A Hybrid Metaheuristic Enabled Approach. - Madhumini Mohapatra; Ami Kumar Parida; Pradeep Kumar Mallick; Mikhail L. Zymbler; Sachin Kumar 001 (Comput., 2022)

Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. - Dillip Ranjan Nayak; Neelamadhab Padhy; Pradeep Kumar Mallick; Dilip Kumar Bagal; Sachin Kumar 001 (Comput., 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. - Manaswini Jena; Debahuti Mishra; Smita Prava Mishra; Pradeep Kumar Mallick; Sachin Kumar 001 (Informatica (Slovenia), 2022)

A Tailored Particle Swarm and Egyptian Vulture Optimization-Based Synthetic Minority-Oversampling Technique for Class Imbalance Problem. - Subhashree Rout; Pradeep Kumar Mallick; Annapareddy V. N. Reddy; Sachin Kumar 001 (Inf., 2022)

A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest. - Debaleena Datta; Pradeep Kumar Mallick; Annapareddy V. N. Reddy; Mazin Abed Mohammed; Mustafa Musa Jaber; Abed Saif Alghawli; Mohammed Abdulaziz Aide Al-qaness (Remote. Sens., 2022)

Classification of imbalanced hyperspectral images using ensembled kernel rotational forest. - Debaleena Datta; Pradeep Kumar Mallick; Mihir Narayan Mohanty (Int. J. Model. Identif. Control., 2023)

Digital media news categorization using Bernoulli document model for web content convergence. - Pradeep Kumar Mallick; Sushruta Mishra; Gyoo-Soo Chae (Pers. Ubiquitous Comput., 2023)

Convergent learning-based model for leukemia classification from gene expression. - Pradeep Kumar Mallick; Saumendra Kumar Mohapatra; Gyoo-Soo Chae; Mihir Narayan Mohanty (Pers. Ubiquitous Comput., 2023)

ADASYN and ABC-optimized RBF convergence network for classification of electroencephalograph signal. - Sandeep Kumar Satapathy; Shruti Mishra; Pradeep Kumar Mallick; Gyoo-Soo Chae (Pers. Ubiquitous Comput., 2023)

Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10. - Dillip Ranjan Nayak; Neelamadhab Padhy; Pradeep Kumar Mallick; Dilip Kumar Bagal; Sachin Kumar 001 (Comput., 2024)

Enhancing alzheimer's diagnosis through optimized brain lesion classification in MRI with attention-driven grid feature fusion. - Manas Ranjan Mohanty; Pradeep Kumar Mallick; Rajesh Kedarnath Navandar; Gyoo-Soo Chae; Alok Kumar Jagadev (Intell. Decis. Technol., 2024)

Optimized clustering-based fusion for skin lesion image classification: Leveraging marine predators algorithm. - Niharika Mohanty; Manaswini Pradhan; Pranoti Prashant Mane; Pradeep Kumar Mallick; Bilal A. Ozturk; Anas Atef Shamaileh (Intell. Decis. Technol., 2024)

Brain image segmentation with fuzzy entropy clustering and PSO-GWO optimization techniques. - Gouri Sankar Nayak; Pradeep Kumar Mallick; Neelmadhab Padhi; Manas Ranjan Mohanty; Sachin Kumar 001; Prasanalakshmi Balaji (Intell. Decis. Technol., 2024)

An empirical hybridized Siamese network using hypercube natural aggregation algorithm for handling imbalance data learning. - Subhashree Rout; Pradeep Kumar Mallick; Annapareddy V. N. Reddy; Meshal Alharbi; Ahmed Alkhayyat 001 (Expert Syst. J. Knowl. Eng., 2024)

Deep convolutional neural networks for automatic detection of uterine fibroids in ultrasound images. - Arpeeta Mohanty; Parthasarathi Pattnayak; Pradeep Kumar Mallick; Bhavna Ambudkar (Intell. Decis. Technol., 2025)

A robust visual information hiding framework based on HVS pixel adaptive alpha blending (HPAAB) technique. - Bishwabara Panda; Manas Ranjan Nayak; Pradeep Kumar Mallick; Abhishek Basu (Multim. Tools Appl., 2025)