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Abhilash Pati

Showing results (1-10 of 15) with videos related to

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Scientific Reports|February 24, 2026
Performance analysis over q-Weibull fading channels for symbol error probability evaluation using a tighter Gaussian Q approximationSarbeswar Samal, Sujata Chakravarty, Tanmay Mukherjee, et al.
Bioengineering (Basel, Switzerland)|March 28, 2025
Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMRBibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, et al.
Scientific Reports|April 25, 2025
A population based optimization of convolutional neural networks for chronic kidney disease predictionM Priyadharshini, V Murugesh, G V Samkumar, et al.
Scientific Reports|May 18, 2026
Robust feature selection for cancer microarray data using a hybrid mRMR and Binary Lion Optimization AlgorithmBibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, et al.
Scientific Reports|March 17, 2026
Retraction Note: Enhancing blockchain transaction classification with ensemble learning approachesAmrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, et al.
Frontiers in Genetics|January 21, 2025
BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approachesPinakshi Panda, Sukant Kishoro Bisoy, Amrutanshu Panigrahi, et al.
Scientific Reports|July 2, 2025
Enhancing blockchain transaction classification with ensemble learning approachesAmrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, et al.
Scientific Reports|July 28, 2025
Investigating air temperature changes in Bhubaneswar city over 123 years from 1901 to 2023Abhipsa Das, Sarat Chandra Sahu, Roshan Beuria, et al.
Current Oncology (Toronto, Ont.)|November 26, 2024
Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning ModelsGhanashyam Sahoo, Ajit Kumar Nayak, Pradyumna Kumar Tripathy, et al.
Diagnostics (Basel, Switzerland)|July 14, 2023
Breast Cancer Diagnosis Based on IoT and Deep Transfer Learning Enabled by Fog ComputingAbhilash Pati, Manoranjan Parhi, Binod Kumar Pattanayak, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Scientific Reports|February 24, 2026
Performance analysis over q-Weibull fading channels for symbol error probability evaluation using a tighter Gaussian Q approximationSarbeswar Samal, Sujata Chakravarty, Tanmay Mukherjee, et al.
Bioengineering (Basel, Switzerland)|March 28, 2025
Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMRBibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, et al.
Scientific Reports|April 25, 2025
A population based optimization of convolutional neural networks for chronic kidney disease predictionM Priyadharshini, V Murugesh, G V Samkumar, et al.
Scientific Reports|May 18, 2026
Robust feature selection for cancer microarray data using a hybrid mRMR and Binary Lion Optimization AlgorithmBibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, et al.
Scientific Reports|March 17, 2026
Retraction Note: Enhancing blockchain transaction classification with ensemble learning approachesAmrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, et al.
Frontiers in Genetics|January 21, 2025
BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approachesPinakshi Panda, Sukant Kishoro Bisoy, Amrutanshu Panigrahi, et al.
Scientific Reports|July 2, 2025
Enhancing blockchain transaction classification with ensemble learning approachesAmrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, et al.
Scientific Reports|July 28, 2025
Investigating air temperature changes in Bhubaneswar city over 123 years from 1901 to 2023Abhipsa Das, Sarat Chandra Sahu, Roshan Beuria, et al.
Current Oncology (Toronto, Ont.)|November 26, 2024
Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning ModelsGhanashyam Sahoo, Ajit Kumar Nayak, Pradyumna Kumar Tripathy, et al.
Diagnostics (Basel, Switzerland)|July 14, 2023
Breast Cancer Diagnosis Based on IoT and Deep Transfer Learning Enabled by Fog ComputingAbhilash Pati, Manoranjan Parhi, Binod Kumar Pattanayak, et al.
Pageof 2