Nilanjan Dey - Dissemin

Papers authored by Nilanjan Dey

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2020 Satyabrata Roy, Rohit Kumar Gupta, Umashankar Rawat, Nilanjan Dey

, Ruben Gonzalez Crespo

PCHET: An efficient programmable cellular automata based hybrid encryption technique for multi-chat client-server applications

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Jyotismita Chaki

, Nilanjan Dey

, B. K. Panigrahi, Fuqian Shi, Simon James Fong, R. Simon Sherratt

Pattern Mining Approaches Used in Social Media Data

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Nilanjan Dey

, V. Rajinikanth, Aboul Ella Hassanien

An Examination System to Classify the Breast Thermal Images into Early/Acute DCIS Class

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Ankit Vijayvargiya, Rajesh Kumar, Nilanjan Dey

, Joao Manuel R. S. Tavares

Comparative Analysis of Machine Learning Techniques for the Classification of Knee Abnormality

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Linkon Chowdhury, Bristy Roy Chowdhury, V. Rajinikanth, Nilanjan Dey

A Framework to Evaluate and Classify the Clinical-Level EEG Signals with Epilepsy

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Amartya Mukherjee

, Prateeti Mukherjee, Debashis De, Nilanjan Dey

iGridEdgeDrone: Hybrid Mobility Aware Intelligent Load Forecasting by Edge Enabled Internet of Drone Things for Smart Grid Networks

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Sakshi Ahuja

, Bijaya Ketan Panigrahi, Nilanjan Dey

, Venkatesan Rajinikanth, Tapan Kumar Gandhi

Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

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Jyotismita Chaki, Nilanjan Dey

, V. Rajinikanth, Amira S. Ashour, Fuqian Shi

Recognition of Skin Diseases Using Curvelet Transforms and Law’s Texture Energy Measures

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V. Rajinikanth, Simon James Fong, M. Shamim Kaiser, Mufti Mahmud

, Nilanjan Dey

Social Group Optimization–Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images

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Simon James Fong

, Gloria Li, Nilanjan Dey

, Rubén González Crespo

, Enrique Herrera-Viedma

Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction

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Neeraj Gupta, Mahdi Khosravy, Nilesh Patel, Nilanjan Dey

, Saurabh Gupta, Hemant Darbari, Rubén González Crespo

Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines

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This paper is made freely available by the publisher.

Sayan Chakraborty, Ratika Pradhan, Amira S. Ashour

, Luminita Moraru

, Nilanjan Dey

Grey-Wolf-Based Wang’s Demons for Retinal Image Registration

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Robert Simon Sherratt

, Nilanjan Dey

Low-Power Wearable Healthcare Sensors

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Felicia Anisoara Damian, Simona Moldovanu

, Nilanjan Dey

, Amira S. Ashour

, Luminita Moraru

Feature Selection of Non-Dermoscopic Skin Lesion Images for Nevus and Melanoma Classification

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Abdulaziz Zamkah

, Terence Hui

, Simon Andrews

, Nilanjan Dey

, Fuqian Shi, R. Simon Sherratt

Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors

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Lenuta Pana, Simona Moldovanu

, Nilanjan Dey

, Amira S. Ashour

, Luminita Moraru

Brain Tissue Evaluation Based on Skeleton Shape and Similarity Analysis between Hemispheres

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Amira S. Ashour

, Amira El-Attar, Nilanjan Dey

, Hatem Abd El-Kader, Mostafa M. Abd El-Naby

Long short term memory based patient-dependent model for FOG detection in Parkinson's disease

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Amartya Mukherjee, Prateeti Mukherjee, Nilanjan Dey

, Debashis De, B. K. Panigrahi

Lightweight sustainable intelligent load forecasting platform for smart grid applications

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S. Vimal, Manju Khari, Rubén González Crespo, L. Kalaivani, Nilanjan Dey

, M. Kaliappan

Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks

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Jyotismita Chaki

, Nilanjan Dey

Data Tagging In Medical Images: A Survey of the State-of-art

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Papers authored by Nilanjan Dey